WATER QUALITY MONITORING REPORT 2015 – 2019 Data
Environmental Protection Unit [email protected] January 2021
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Table of Contents
1. Executive Summary ...... 4 2. Introduction ...... 5 3. Rivers of the Isle of Man ...... 6 4. General Quality Assessment (GQA) ...... 9 4.1. Biology ...... 10 4.2. Chemistry ...... 10 4.3. Nutrients ...... 11 5. Environmental Implications ...... 12 5.1. Discharge Licensing ...... 12 5.1.1. Septic Tanks ...... 14 5.1.2. Private Sewage Treatment Works ...... 14 5.1.3. Manx Utilities Sewage Treatment Works ...... 14 5.2. Agriculture ...... 18 5.3. Mining Legacy ...... 18 5.4. Urban Drainage ...... 18 6. GQA Assessments ...... 19 6.1. Biology ...... 19 6.2. Chemistry ...... 20 6.3. Nutrients ...... 23 6.3.1. Phosphate ...... 23 6.3.2. Nitrate ...... 26 7. Additional Monitoring ...... 28 7.1. River Neb Heavy Metal Catchment Monitoring ...... 29 7.2. Historic Landfill Leachate ...... 33 8. DEFA Bathing Water Strategy/Environmental Quality Standards ...... 34 8.1. Background ...... 34 8.2. Phase 1 – Bathing Water Standards ...... 35 8.3. Phase 2 – Environmental Quality Standards ...... 35 8.3.1. Heavy Metal Screening – All Island ...... 35 9. Conclusions ...... 36 10. Further Work ...... 36 11. Appendices ...... 38 11.1. Appendix 1 – List of all sampling sites (codes and names) ...... 38 11.2. Appendix 2 – General Quality Assessment of Rivers Biology ...... 40
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11.3. Appendix 3 – General Quality Assessment of Rivers Chemistry ...... 42 11.4. Appendix 4 – General Quality Assessment of Rivers Nutrients ...... 44 11.5. Appendix 5 – RAW Data ...... 46
List of Figures
Figure 1. Northern sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow)) ...... 7 Figure 2. Eastern sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow)) ...... 8 Figure 3. Southern sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow)) ...... 8 Figure 4. Western sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow)) ...... 9 Figure 5. Flow diagram detailing DEFA's policy for issuing discharge licenses...... 12 Figure 6. Location of all discharge licenses issued by DEFA. Existing licenses are licensed for discharges before 2005 when licensing was introduced...... 13 Figure 7. Location of treated sewage effluent discharges ...... 15 Figure 8. Balladoole sewage treatment works installed in 2017; treats sewage for residents of Ramsey and ceased the discharge of crude sewage being discharged into Ramsey Bay...... 16 Figure 9. Ballagarey sewage treatment works installed in 2019; treats sewage for the Glen Vine area and upgraded an old style sewage treatment works...... 16 Figure 10. Location of Manx Utilities discharge licenses ...... 17 Figure 13. Chemical classification for the Northern region...... 21 Figure 11. Chemical classification for the Eastern region ...... 21 Figure 12. Chemical classification for the Southern region...... 22 Figure 14. Chemical classification for the Western region...... 22 Figure 17. Phosphate classification for the Northern region ...... 24 Figure 15. Phosphate classification for the Eastern region...... 24 Figure 16. Phosphate classification for the Southern region...... 25 Figure 18. Phosphate classification for the Western region...... 25 Figure 21. Nitrate classification for the Northern region ...... 27 Figure 19. Nitrate classification for the Eastern region ...... 27 Figure 20. Nitrate classification for the Southern region ...... 28 Figure 22. Nitrate classification for the Western region ...... 28 Figure 23. Monitoring locations in River Neb/Foxdale Stream catchment ...... 29 Figure 24. Concentration of lead (Pb) in water samples (the red line is the Environmental Quality Standard (µg/L)) ...... 30 Figure 25. Concentration of Iron (Fe), Manganese (Mn) and Zinc (Zn) in water samples ...... 31 Figure 26. Sampling locations at Cross Vein Mines ...... 32 Figure 27. Concentration of lead (Pb) and suspended solids in water samples during adverse weather in 2019 ...... 33
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List of Tables
Table 1. Percentage of Isle of Man rivers (by length) ranked by grade (full review in section 6)...... 4 Table 2. Catchment details including number of sampling sites and drainage areas...... 6 Table 3. Chemical quality by percentage; 2000 to 2019 ...... 20 Table 4. Phosphate quality by percentage; 2000 to 2019 ...... 23 Table 5. Nitrate quality by percentage; 2000 to 2019 ...... 26
Abbreviations
Abbreviation Description ASPT Average score per taxon BMWP Biological Monitoring Working Group BOD Biochemical Oxygen Demand d/s Downstream DEFA Department of Environment, Food and Agriculture Department DEFA DoI Department of Infrastructure E&I Environment & Infrastructure EPU Environmental Protection Unit EQI Ecological Quality Indices EQR Environmental Quality Ratio EU European Union GQA General Quality Assessment IRBC Integrated Rotating Biological Contractor IRIS Integrated Regional Sewage Infrastructure MU Manx Utilities NTAXA Number of taxa present per site RICT River Invertebrate Classification Tool RIVPACS River Invertebrate Prediction Accreditation System UKAS United Kingdom Accreditation Scheme u/s Upstream WFD Water Framework Directive (2000/60/EC)
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1. Executive Summary
The Environmental Protection Unit (EPU) undertake routine water monitoring, annually, to assess the general quality of Isle of Man rivers. The General Quality Assessment (GQA) Scheme, developed by the UK Environment Agency, assesses the quality of various aquatic taxa, the water chemistry and nutrient loading against background ‘clean’ sites. The 2019 GQA results (Table 1), indicate that 95% of the length of Isle of Man Rivers achieved grade A quality for chemistry, 97% of rivers (by length) ranked in the top two grades for phosphate and 80% for nitrate loading. An upward trend in the quality of Isle of Man rivers can be observed by the recent data, in comparison to the last two decades. But, there are identifiable areas which could be improved, more specifically with regards to nutrient loadings linked to agricultural activities and aged sewage treatment infrastructure across the island.
This year, the biological assessment results have been postponed awaiting assessment using the New Isle of Man specific modelling database, which is to be finalised in 2021. The new modelling database will allow for a more accurate (reduced uncertainty) assessment of Isle of Man biological quality, because it will be generated from Isle of Man specific taxon datasets collected by the EPU team throughout 2020 and 2021.
Table 1. Percentage of Isle of Man rivers (by length) ranked by grade (full review in section 6).
General Quality Assessment Grade Biology Chemistry Phosphate Nitrate
A 95% 84% 47%
B 4% 13% 33% model C 1% 2% 19%
D 0% 1% 1%
section6.1)
E Data tobe 0% 0% 0%
(see assessed against assessed
F IoM specific 0% 0% 0%
Additionally, other water investigations have been undertake to assess known catchment issues or risks. This report includes results of a heavy metal assessment conducted in the River Neb catchment, assessing possible pathways and sources of metals known to accumulate in Peel Marina (see section 7). Conclusions made from the investigation were that suspended solids in the upper catchment reflect the heavy metal loadings known to be in the ground sediment at Cross Vein Mines. There is evidence to suggest that the mobilisation of sediment from the old mine site is a primary source of lead contamination within the river.
Regulatory improvements for river quality, have also been a focus of work throughout 2019 and 2020. New water regulations and schemes are currently being implemented by the Department, including the introduction of bathing water standards and environmental quality standards. These new standards will improve human health protection for bathers, and will align Isle of Man river and coastal water environmental quality standards to those implemented in the UK and across Europe (further details available in section 8) helping to protect and preserve the natural environment here on the Isle of Man.
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2. Introduction
The Environmental Protection Unit undertakes monitoring at 87 sites in the spring, summer and autumn for the Isle of Man’s rivers and streams. The monitoring is split between chemical water sampling and biological invertebrate sampling at a reduced number of sites.
This report is the eighth report detailing long term monitoring of the rivers and streams on the Isle of Man. The first report was produced in 1998 as the baseline conditions of the islands water quality and since then regular reports have been released providing a summary of the present water quality of the rivers and streams.
The data used in this report has been reported using the ‘General Quality Assessment’ (GQA) scheme (Environment Agency, 1996), where the data has been used to calculate classifications for a number of parameters including chemical and nutrient status. The GQA was originally used by England, Wales and Northern Ireland before the EU Water Framework Directive (European Commission, 2000) was implemented in 2010.
Work is being undertaken by the department to update the current GQA monitoring scheme to bring it more in line with the present UK monitoring system but adapted to the resources available to the Isle of Man’s monitoring programme.
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3. Rivers of the Isle of Man
For the purpose of presenting the classifications within this report the Isle of Man is split into four regions; North, East, South and West. The Northern region can be split into two geographically distinct areas; the first being the Sulby river catchment which drains the slopes of the islands mountain (Snaefell, 2037 ft.), through Sulby reservoir. The second being the flat Northern plain dominated by arable farming, which has slow flowing watercourses similar to dykes and ditches. Plus, the Eastern region has significant urban and industrial areas with a relatively large number of private sewage treatment works in rural areas. The streams in Laxey are impacted by disused mining sites. The Southern region is dominated by livestock and agriculture. And, the Western region is dominated by the River Neb, of which a tributary, the Foxdale Stream is impacted by disused mining sites.
Table 2. Catchment details including number of sampling sites and drainage areas.
Drainage Sampling Region Catchment Area (km²) Sites Glass (incl. Baldwin River and Sulby Stream) 38.8 9 Dhoo (incl. Greeba) 33.5 7 Laxey (incl. Glen Roy) 24.6 4 Groudle (incl. Baroose Stream) 12.6 4 East Middle 7.5 5 Baldrine 2.9 1 Port Jack 1 Summerhill 1 Colby 13.2 2 Santonburn 17.9 3 Silverburn (incl. Awin Ruy) 29.2 5 Poylvaaish 4.7 1 Ballabeg 5.9 1 South Glashen 4 1 Crogga 4 3 Coitt-ny-Greiney 3.5 2 Port Erin 1.6 1 Port Grenaugh 4.1 1 Neb (incl. Foxdale) 55.4 10 Glen Maye 14.6 2 West Mooar 6.1 1 Kirk Michael 7.8 1 Ballaugh 14.6 1 Lhen 22 3 Auldyn 12.3 3
North Sulby (incl. Ballakerka, Ballamenaugh, Block 57.8 12 Eary and Lhergyhenny) Dhoon 2.16 1 Cornaa 18.7 2
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The locations of the sampling points were chosen in consideration of known discharges and locations of confluences. While the vast majority of the sampling sites have remained the same during each sampling period, a few sites have been added or removed over the years to cope with the changing discharge regimes and consideration of long term results.
Figures 1 - 4 detail the location of all 87 sampling sites which are monitored throughout the year for either chemical (pink) or biological (yellow) data depending on the site. The individual maps for each split region, North, East, South and West have been provided (Figures 1-4). A list of the site names for each site code are detailed in Appendix 1 – List of all sampling sites (codes and names).
Figure 1. Northern sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow))
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Figure 2. Eastern sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow))
Figure 3. Southern sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow))
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Figure 4. Western sampling sites locations and ID codes (chemical analysis (pink) or biological analysis (yellow))
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4. General Quality Assessment (GQA)
River quality is assessed by the measurement of a group of factors (biological, chemical and nutrient) under the General Quality Assessment (GQA) scheme, which when considered together provide a comprehensive representation of overall river quality. However, as discussed in section 6.1, the biological assessment has not yet been concluded, and thus the river quality results are only presented for each factor quality assessment (chemical, phosphate and nutrient) and not the overall quality rating. The overall quality rating including the 2018-2019 will be presented in the next report. The factors studied also consider the density of the biological community living in the river bed and the chemical constituents associated with discharges, land runoff and the geology within the river catchment. The GQA scheme provides a method for comparing river quality from one river to another and for observing changes through time. The methods used in this report follow the GQA scheme as previously used by regulatory authorities in England, Wales, Scotland and Northern Ireland. EU and UK agencies have now moved to an ‘Ecological and Chemical Status Assessment’ under the Water Framework Directive (2000/60/EC).
For water chemistry samples, the United Kingdom Accreditation Service (UKAS) assures quality levels of the analytical laboratory. All samples have been treated in accordance with UKAS.
For all of the figures herein, showing the classifications for each category the same colour coding has been used to determine the best to worst grade. The best grade is shown in BLUE and the worst grade shown in RED. This has been done to avoid confusion between the GQA scheme categories. 4.1. Biology Samples are taken of macro-invertebrates which inhabit the riverbed. Macro-invertebrates do not move far and quickly respond to water conditions, as well as to physical changes to their habitat. Macro-invertebrates can be affected by pollutants that occur infrequently, or in low concentrations which may be missed by chemical point sampling.
There are two systems which can be used to classify the ecological health of a watercourse through the invertebrate type, abundance and environmental data. The River Invertebrate Prediction Accreditation System (RIVPACS) / River Invertebrate Classification Tool (RICT) or the Biological Monitoring Working Party (BMWP) score system. Both systems can be used but the RIVPACS/RICT scoring system requires additional environmental data for each site to allow a direct comparison of the water bodies.
The RIVPACS/RICT compare the sampled river’s data to that of rivers of a similar physical nature, but devoid of any pollution stress. The results from this comparative exercise allows a river stretch to be graded into one of five categories ranging from Very Good to Bad. Full details of this method are provided in Appendix 2 – General Quality Assessment of Rivers Biology. 4.2. Chemistry River water samples are taken three times per year from the biological sample sites and once a year at a set of additional sites during the summer (identified with yellow markers on the maps). These samples are analysed for a number of determinants including dissolved oxygen, biochemical oxygen demand and ammonia which together indicate the organic pollution levels in the river. Organic pollution is a dominant form of pollution and often derives from sewage treatment works and agriculture.
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Under the GQA chemical analysis the water quality is ranked from Grade A (Very Good) to Grade F (Bad). Full details of the method are presented in Appendix 3 – General Quality Assessment of Rivers Chemistry. 4.3. Nutrients The same samples of river water collected for chemical assessment described above are analysed for nitrate and phosphate. These substances are commonly termed ‘nutrients’ and high concentrations of these nutrients can cause increased organic enrichment or eutrophication with excessive plant and algal growths. The main source of these substances are land run off from agricultural fertiliser, animal excrement and detergent from sewage treatment effluent.
As before the results obtained from the analysis of these substances allow the river to be graded into one of six grades ranging from Grade A (Very Low) to Grade F (Excessively High or Very High). However, grades for nitrate and phosphate are kept separate and reported individually. Full details of the method are presented in Appendix 4 – General Quality Assessment of Rivers Nutrients.
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5. Environmental Implications
5.1. Discharge Licensing In 2005, the licensing of discharges into controlled waters was introduced through provisions outlined in Section 5 of the Water Pollution Act, 1993. Any discharges (figure 6) which were present prior to the licensing scheme were given ‘existing’ licenses with limited conditions. New discharges to controlled waters have been subject to a license application, water quality modelling, consultation and specific conditions. The discharge of effluent from septic tanks to controlled waters was ceased in 2005, with only discharges from private sewage treatment works allowed to enter any controlled waters.
DEFA’s discharge license policy (https://www.gov.im/media/1370516/defa-discharge-license- policy.pdf) is outlined in figure 5.
Connection to Full Soak- Partial Soak- Manx Utilities away away Discharge to Infrastructure •Subject to •Subject to watercourse (Mains) percolation tests percolation tests
Figure 5. Flow diagram detailing DEFA's policy for issuing discharge licenses.
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Figure 6. Location of all discharge licenses issued by DEFA. Existing licenses are licensed for discharges before 2005 when licensing was introduced.
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5.1.1. Septic Tanks Septic tank discharges to watercourses are only permitted to occur if the unit was installed prior to the 2005 licensing introduction. To date, there are only five known existing licenses for septic tank discharges, but it is likely that there are numerous units unknown to the Department. Application for a discharge license for historic or new septic tanks can be conducted via the online form (https://www.gov.im/about-the-government/departments/environment-food-and- agriculture/environment-directorate/environmental-protection-unit/river-water-quality/) or through contacting the Department ([email protected]).
Septic tanks are permitted when the discharging effluent is connected to a full soak-away, subject to the necessary percolations tests, as requested by Building Control (https://www.gov.im/about-the- government/departments/environment-food-and-agriculture/planning-and-building-control/).
Septic tanks are expected to be regularly maintained, including an annual emptying of the sludge by Manx Utilities. This regular maintenance will reduce any polluting potential if connected to a watercourse, or potential blockages in the tail drains, if connected to a soak-away.
5.1.2. Private Sewage Treatment Works By the end of 2020, there were 211 current licenses issued for the discharge of treated sewage effluent into controlled waters across the island (figure 7). These discharges are all located in rural areas where the connection to Manx Utilities infrastructure is not possible and where a soak-away cannot be utilised. Some of these licenses include a partial soak-away which allows the effluent to be absorbed by the land when the conditions allow; this protects the river/stream as the flow rate tends to be lower.
Regular maintenance is still required for these works to ensure the quality of the discharging effluent is in line with the conditions stated in the discharge license. Any non-compliance may result in enforcement action.
5.1.3. Manx Utilities Sewage Treatment Works Manx Utilities hold 599 discharges licenses under the Water Pollution Act 1993; they vary from treated sewage effluent to drinking water discharges (figure 10).
For the discharge of treated sewage effluent into controlled waters across the Isle of Man, Manx Utilities hold 20 discharge licenses. The majority of their discharges are into coastal waters, with only 6 sewage treatment works discharging into inland waters. Manx Utilities regularly inspect all of their works and undertake weekly/monthly sampling to assess compliance with the conditions set out in each discharge license; this information is then submitted to DEFA for review. Any non-compliance with the conditions are notified by Manx Utilities, to the Department and all relevant actions are taken to investigate or resolve each issue.
Manx Utilities provide sewage treatment for the majority of the Isle of Man with the South and East of the island being connected to the Integrated Regional Sewage Infrastructure (IRIS). In the other regions smaller sewage treatment works have been installed to treat the waste water from towns or villages. However, there remain three crude sewage discharges to coastal waters at Laxey, Baldrine and Peel.
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Figure 7. Location of treated sewage effluent discharges
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Figures 8 and 9 are examples of Integrated Rotating Biological Contactor (IRBC) sewage treatment units which Manx Utilities have been installing over the past few years to treat sewage for Northern and Western areas.
Figure 8. Balladoole sewage treatment works installed in 2017; treats sewage for residents of Ramsey and ceased the discharge of crude sewage being discharged into Ramsey Bay.
Figure 9. Ballagarey sewage treatment works installed in 2019; treats sewage for the Glen Vine area and upgraded an old style sewage treatment works.
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Figure 10. Location of Manx Utilities discharge licenses
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5.2. Agriculture Agricultural practices can have a large impact on river water quality. Guidance on ‘Protecting our soil and water’ is provided by the Agriculture Directorate, aimed at farmers, growers can be viewed at; https://www.gov.im/media/1363891/protecting-our-soil-and-water.pdf
Across the Isle of Man there are a mixture of beef and dairy farmers operating in different regions.
To reduce potential pollution from agricultural sites, educational information and guidance is provided via assistance from the Department’s Agricultural Officers to highlight potential sources and effects of agricultural pollution on controlled waters.
One of the main priorities is in ensuring that surface water is separated and directed away from soiled areas to reduce the volume of polluted water to dispose of or treat. This includes, ensuring that feed areas are covered as animal waste on the ground is easily mobilised during rainfall leading to discharge in a nearby watercourse or drainage ditch. Agricultural grants are available, to assist with environmental protection improvements and risk reduction projects, through DEFA.
Ensuring adequate slurry storage is in place at farms is also important for protecting the wider environment as it provides storage capacity, reducing the need to spread slurry on land during adverse weather. This change in slurry spreading behaviour can reduce the volume of nutrients and bacteria which enters nearby watercourses or drainage ditches through land run-off. 5.3. Mining Legacy The mining legacy on the Isle of Man is prominent with multiple catchments being affected by the impacts of historic mine sites being situated at the top of the catchment, in most circumstances. The main impacts are witnessed in the Foxdale/River Neb, Laxey and Sulby catchments. In some locations, ferrous iron accumulates on the river bed giving it an orange appearance and is thought to be partly due to associated mine leachates (but possibly also linked to discharges from historic landfill sites).
A metal screening programme was carried out by DEFA in March 2020 which is described in more details in Section 8. This screening was used to inform decisions on the updated monitoring programme which will commence in 2021; it will include regular monitoring for a suite of heavy metals at specific monitoring sites (as described in Section 8). 5.4. Urban Drainage This includes cross connections within urban areas where foul water discharges into the surface water network hence causing pollution. Cross connections occur island wide and are investigated by the Environmental Protection Unit and Manx Utilities. Once identified the issues are rectified to ensure the protection of the environment.
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6. GQA Assessments
The GQA is conducted using data collected over a period of 5 years and an average is calculated with this data. This provides an indication of the overall health of a river, and not simply the quality of the river at the point in time the sample is collected. The results presented are from the collection of data from 2015-2019. The data is presented in Appendix 5 – Raw Data, along with a description of the classification systems. 6.1. Biology Biological classification of river status in the Isle of Man is currently based on the UK River Invertebrate Prediction and Classification System (RIVPACS, see: https://www.fba.org.uk/FBA/Public/Discover- and-Learn/Projects/RIVPACS-Reference-Sites-and-Reports.aspx). This classification system allocates each macroinvertebrate taxon a score, based on its known sensitivity to water quality. Sensitive species, which require clean, oxygen-rich water, score highly, while those that are tolerant of dirtier water and low oxygen concentrations have low scores. The scores for each taxon present at a site are calculated and used to generate two index metrics– NTAXA (number of taxa present at the site) and ASPT (average score per taxon).
The two metrics are then fed into the River Invertebrate Classification Tool (RICT, see: https://www.fba.org.uk/FBA/Public/Discover-and-Learn/Projects/RIVPACS-Reference-Sites-and- Reports.aspx), which determines the classification of each site. The system works by comparing the data with that from a series of reference sites known to be of a high biological quality. Using a series of non-biological readings, including altitude, distance from source, river width and river bed composition, RICT compares the invertebrates present at the survey site with what would be expected from an undisturbed site, based on its reference site database (https://www.ceh.ac.uk/services/rivpacs-reference-database), and allocates the survey site a proportional score for each metric, in which 1.00 means that the site is undisturbed and any value below this given an indication of the percentage deviation from the expected reference condition. When applied to the WFD, the classification category is derived from the percentage similarity to the theoretical undisturbed condition, known as the Ecological Quality Ratio (EQR).
The problem with applying this method to the Isle of Man is that the reference sites, chosen because they have been subject to minimal human disturbance, do not include any in the Isle of Man. The invertebrate fauna is naturally more diverse in Great Britain and Ireland than in the Isle of Man, a consequence of their larger size, greater geological diversity and fewer restrictions to dispersal. Therefore the reference sites available in the UK RIVPACS are unable to predict correctly what the expected taxon composition would be in the Isle of Man and the classifications derived using this are consequently have statistical uncertainty.
This issue can be rectified by developing a RICT system specific to the Isle of Man, based only on the invertebrates that occur naturally on the island. There is a precedent for this, as the fauna of Ireland is different to that of Great Britain, so reference sites from Northern Ireland were sampled to develop a separate RIVPACS database for Northern Ireland.
The project to develop an Isle of Man specific RICT has commenced with the first set of reference sites being collected from 28 locations during autumn 2020. Additional data sets will be collected in spring and summer 2021 at the same 28 locations. As this project is underway, the Department has decided not to provide a summary on the biological data as the interpretations are restricted and formalisation of results will be delivered via the IoM RICT. Once the new tool has been created a comprehensive report will be produced on multiple years of invertebrate data.
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6.2. Chemistry Figures 11 to 14 show that the chemical water quality of 95% of the monitored sites are classified as ‘Very Good’ with only 4 sites having a lower classification, accounting for 4% of IoM rivers (by length) being classified as ‘good’ and just 1% identified as ‘Fairly Good’. Compared to previous year. Compared to twenty years ago, there has been a 36% increase in rivers being classified as ‘Very Good’ and no rivers performing less than ‘Fairly Good’ for the past four years. The trend suggests a continued improvement in the chemical quality of IoM rivers.
In the Northern region (figure 11), the moderate (Fairly Good) classified section of the Lhen Trench is a results of the elevated Biochemical Oxygen Demand (BOD), in 2016 and 2018. The 2019 monitoring results, reported the BOD as 2 mg/L which would independently provide a classification of ‘Very Good’. Without the skewed data points from 2016 and 2018 the classification for this area would be higher.
The Pooilvaaish Stream (southern region, figure 13) achieved a ‘Good’ classification due to an increase in BOD, reported in the 2019 data, which is likely to be due to agricultural run-off into the watercourse. Further investigation should be undertaken in this area to identify the source of the issue and implement improvements to raise the water quality.
A further investigation is required to identify the source of the increased BOD in the Port Erin stream (Figure 13) 2019 is the first year of data collected for this site, and thus there is some uncertainty associated with the classification, based on the limited presented data. Future results will be monitored to determine if further investigation is required to identify the reason for the raised BOD.
Table 3. Chemical quality by percentage; 2000 to 2019
2000 to 2002 2003 to 2005 2015 to 2016 2015 to 2015 to Grade Quality River Length River Length River Length 2017 River 2019 River % % % Length % Length %
A Very Good 69 80 88 95 95
B Good 22 15 11 4 4
C Fairly Good 6 3 0 1 1
D Fair 3 1 1 0 0
E Poor 0 1 0 0 0
F Bad 0 0 0 0 0
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Figure 11. Chemical classification for the Northern region.
Figure 12. Chemical classification for the Eastern region
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Figure 13. Chemical classification for the Southern region.
Figure 14. Chemical classification for the Western region.
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6.3. Nutrients
6.3.1. Phosphate Overall phosphate concentrations across the Isle of Man are of ‘Very Low’ or ‘Low’ GQA classification as shown by the blue and green lines on figures 15 to 18 below. The main sources of phosphate are commonly from septic tanks, treated sewage effluent and agricultural fertiliser.
The elevated phosphate levels in the River Dhoo (Figure 16) are likely to be due to the old sewage treatment works which are scheduled to be upgraded by Manx Utilities in the near future. The unit at Ballagarey has recently been upgraded to a new IRBC unit and there are plans for Crosby and Glen Vine to also be upgraded with similar units. Future data will be monitored to assess if upgrades in sewerage infrastructure reduces the phosphate concentrations. The elevated phosphate in the Southern region is thought to be likely to be due to agricultural fertilisers or private sewage treatment works.
Over the past 20 years there is a gradual increase in the percentage of Grade A and B sites from 94% to 97%. This corresponds with a decrease in sites with elevated phosphate concentrations with no sites recording Grade E or F classification since the 2003-2005 summary. There is only 1 site which was classified as Grade D in the past two reports and this will be investigated further.
Table 4. Phosphate quality by percentage; 2000 to 2019
2000 to 2003 to 2015 to 2015 to 2015 to Grade Quality 2002 River 2005 River 2016 River 2018 River 2019 River Length % Length % Length % Length % Length % A Very Low 86 89 83 84
B Low 12 5 9 12 13
C Moderate 4 4 2 4 2
D High 1 4 0 1 1
E Very High 1 1 0 0 0
F Excessively High 0 0 0 0 0
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Figure 15. Phosphate classification for the Northern region
Figure 16. Phosphate classification for the Eastern region.
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Figure 17. Phosphate classification for the Southern region.
Figure 18. Phosphate classification for the Western region.
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6.3.2. Nitrate Nitrate concentrations vary considerably across the Isle of Man (table 4 and figures 19 – 22) with some regions receiving higher concentrations than others. However, eighty percent of sites achieved ‘Very Low’ or ‘Low’ nitrate GQA classification, compared to just 72% of the sites in 2000.
The remaining 20% of monitoring sites were classified as ‘Moderately Low’ or ‘Moderate’. These sites are mainly located in the Northern (Lhen Trench) or Southern regions (figures 19 and 21) where agricultural activity accounts for a significant proportion of land use. See section 5.2 for further details on the potential impacts from agriculture on nearby watercourses and the freshwater species.
Further investigation into the source of nitrate in the Eastern region will be required as it is densely populated. The primary cause of nitrate issues in rivers are related to agriculture, and thus urban areas should not be contributing significantly to nitrate concentrations.
Over the past 20 years there is no demonstrated change in the nitrate impacts in IoM rivers. An improvement (just 5%) was noted between the 2000-2002 and 2015-2016 rivers, but since the results indicate a reduction of in river quality, with 2018-2019 results showing a fall in rivers reporting Grade A or B quality, and a small growth in Grade C, ‘Moderately Low’ sites. However, the general trend over the last two decades indicates a significant reduction in rivers recording grade C and a linked growth in rivers recording grade B.
Table 5. Nitrate quality by percentage; 2000 to 2019
2000 to 2003 to 2015 to 2015 to 2015 to Grade Quality 2002 River 2005 River 2016 River 2018 River 2019 River Length % Length % Length % Length % Length % A Very Low 49 47 54 46 47
B Low 23 28 35 37 33
C Moderately Low 27 24 7 16 19
D Moderate 1 1 4 1 1
E High 0 0 0 0 0
F Very High 0 0 0 0 0
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Figure 19. Nitrate classification for the Northern region
Figure 20. Nitrate classification for the Eastern region
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Figure 21. Nitrate classification for the Southern region
Figure 22. Nitrate classification for the Western region
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7. Additional Monitoring
7.1. River Neb Heavy Metal Catchment Monitoring Water samples from the River Neb/Foxdale Stream catchment were collected monthly from November 2018 to November 2019. This project was undertaken in conjunction with the Peel dredging project and was focused around Cross Vein Mines as this site was proposed to store the contaminated marina material. This has since changed and is awaiting planning permission to be store at Turkeylands in the south of the island. Figure 23 shows the monitoring sites within the catchment.
Figure 23. Monitoring locations in River Neb/Foxdale Stream catchment
Cross Vein Mines was formerly a lead mine developed in the 18th Century. More recently, until 2019, the former mine site was used as a public recreational area for motocross sports. This recent land use application lead to the area being devoid of vegetation, and open to weathering and erosion, resulting in large volumes of sediment being washed off the site, during rain events. The site is known to contain
29 | P a g e heavy metals within the soils. Because of this, the site was closed to the public to prevent heavy metal exposure to those who used the site, and for the Department to take preventative action to minimise sediment mobilisation. The run-off from the site is thought to be a contributing factor to the heavy metal concentrations detected in the Peel Marina (downstream of sampling site 6) dredging spoil.
The monthly samples were analysed for same suite of parameters including heavy metals. The results identified which tributaries contained higher concentrations of specific dissolved metals. The initial set of results were used to expand the project further upstream into Upper Foxdale as specific metals were identified as being elevated at site 2. This additional monitoring has been completed as Phase 2 of the Peel Dredging project by the Department of Infrastructure (DoI). All of the data collected by both Departments is being used to advise the DoI on measures to reduce the volume of sediment being deposited in Peel marina. The aim is to reduce the contamination by heavy metals at the source and the amount of sediment being eroded or deposited into the catchment.
Figure 24 shows that the concentration of lead in the water samples was highest at site 1 which is situated downstream Cross Vein Mine in the Kerrowdhoo stream. This result suggests that Cross Vein Mine is one of the sources of elevated lead into the catchment. Whereas, at site 2 in figure 25, upstream of the Kerrowdhoo stream input, manganese (Mg), iron (Fe) and zinc (Zn) were the dominant metals; the identification of the source of these metals in the Upper Foxdale catchment is unknown. Further monitoring to identify the source of these contaminants was included in Phase 2 of the Peel Dredging Project which was undertaken by the DoI.
Figure 24. Concentration of lead (Pb) in water samples (the red line is the Environmental Quality Standard (µg/L))
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Figure 25. Concentration of Iron (Fe), Manganese (Mn) and Zinc (Zn) in water samples
7.2. Cross Vein Mine Assessment In 2019, water samples were also collected at three locations on the Cross Vein Mine site shown in figure 26 during adverse weather to assess the amount of sediment being mobilised into the catchment from an area accessible to motor vehicles compared to an undisturbed area. This set of data was taken as a one off basis to inform the Department and subsequently the site has been closed to prevent motor vehicles disturbing the ground and to protect public health.
Figure 26 shows the location of the sampling sites; site 1 directs water off of the site from an undisturbed area of land whereas sites 2 and 3 are located within channels which drain water from the disturbed area outlined in red. The area outlined by the red line shows the extent of the motor vehicle facility where motorbikes and quad regularly visited and disturbed the ground. This disturbance allowed sediment to be easily transported downstream into the Kerrowdhoo stream and the Foxdale stream during adverse weather.
Figure 27 shows the concentration of suspended solids and lead in the water samples collected at the three sites. Greater concentrations of both parameters were recorded at sites 2 and 3 which drain water from the historic motor vehicle facility. During adverse weather natural channels are made in the sediment which direct the water off of the Cross Vein mine site and into the lower catchment. Site 1 was chosen as an undisturbed comparison and lower concentrations of all parameters are observed.
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Figure 26. Sampling locations at Cross Vein Mines
Additional work will be undertaken by DEFA and the DoI to trial different measures to reduce the amount of sediment and metals into the catchment during adverse weather. Some of the measures include sediment traps, heather bales being placed in ditches to filter the water and planting in the closed area to stabilise the soil where possible.
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Figure 27. Concentration of lead (Pb) and suspended solids in water samples during adverse weather in 2019
7.3. Historic Landfill Leachate Historic landfills can cause issues within watercourses through the production of leachate, or site erosion and mobilisation of physical materials from within the landfill. For the River Neb/Foxdale catchment there are redundant landfills in a couple of locations adjacent to a watercourse. There is a concern that these watercourses may cause erosion to the banks of a landfill site and hence deposit waste into the river channel.
Further investigations are planned for 2021 to assess the impact of the historic landfills bordering specific watercourses within the River Neb/Foxdale catchment. This data will be used to inform the Department, who will work with stakeholders, where necessary, to reduce any potential impact from landfill leachate and solid waste.
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8. DEFA Bathing Water Strategy/Environmental Quality Standards
To improve water quality throughout European member states two Directives have been leading change and improvements. These two Directives are the EU 2006 Bathing Water Directive (2006/7/EC) (European Commission, 2006) and the Water Framework Directive (2000/60/EC) (European Commission, 2000). The Bathing Water Directive intends to safeguard public health and protect coastal and inland waters from pollution, by introducing quality standards.
Whilst the Water Framework Directive as discussed in section 2, has implemented a new scheme for assessing the quality or a river, using Environmental Quality Standards.
For the Isle of Man, the river environmental quality scheme is to be updated to reflect more stringent regulations implemented across Europe, as well as normalising the results to be comparable to river quality results presented for the UK and countries within Europe, for comparison.
Working with the EU 2006 Bathing Water Directive (2006/7/EC), the Isle of Man will deliver a complementary scheme assessing and publicising the bathing water quality of registered beaches, around the Island, throughout the bathing season. 8.1. Background In March 2018, the Environment and Infrastructure (E&I) Policy Review Committee made a series of recommendations on future sewerage infrastructure options and how they might impact on bathing water quality in its report “First report 2017-18; Regional Sewage Treatment Strategy, Phase 2”.
Later, in October 2018, DEFA and Manx Utilities (MU) responded to the E&I Policy Review Committee report through an “Interim Scoping Report of what is needed to comply with the EU 2006 Bathing Water Directive”. This report provided an outline of the work required to ensure the Isle of Man achieves compliance with the standards specified in the EU 2006 Bathing Water Directive (2006/7/EC).
Within the report, the ‘Strategy for Delivery’ section included a target of November 2019 to “secure Tynwald approval to adopt bathing water quality standards based on the public health parameters contained in the 2006 Bathing Water Quality Directive and on a strategy for delivering those standards”. The UK consultant APEM Ltd was appointed by DEFA in August 2019 to develop this strategy, and Phase 1 was approved by Tynwald in December 2019.
Within the Year 4 ‘Programme for Government’, it has been proposed that DEFA is to deliver an additional target to “Implement approved Bathing Water Standards - target date July 2021”.
The 2018 “Interim Scoping Report of what is needed to comply with the EU 2006 Bathing Water Directive” included a further commitment (Phase 2):-
“By December 2020 secure approval from Tynwald on Manx specific discharge standards and modifications to the licensing provisions in the existing Water Pollution Act which will enable proportionate compliance with the discharge standards. The discharge standards should be based on results from on-going sampling, necessary modelling and a review of the standards adopted in other jurisdictions. Maximum acceptable levels of contaminants from sources other than discharges (i.e. diffuse run off from farms) should be included in the standards”.
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8.2. Phase 1 – Bathing Water Standards After gaining approval for Phase 1 through the document ‘A strategy for the adoption of the 2006 Bathing Water Directive Standards in the Isle of Man’; the Department has worked on implementing the new bathing water standards for the 2021 bathing season (1st May to 18th September). This included consultation with local authorities on the relevant changes and the introduction of application forms.
For the 2021 bathing season, four locations will be designated as bathing waters; Port Erin, Port St Mary Chapel Beach, Douglas and Ramsey South. The Department will produce a detailed bathing water profile for each location which will be available on the Government website and will include the current data, potential pollution source and any current investigations within the catchment. All of this information will inform the public to allow them to decide when and where to bathe.
At each designated bathing water there will be new signage which will provide more information about the area and will display the water quality classification. The water quality classification is produced using a 4 year rolling average of the data and the representative classification; excellent, good, sufficient or poor. The minimum standard for Isle of Man bathing waters is ‘Good’, as approved by Tynwald in December 2019. The weekly data will be available online, for each specific bathing water profile, and the overall classification will be updated at the end of every bathing season. 8.3. Phase 2 – Environmental Quality Standards Phase 2 of the project involved developing a scheme which includes Environmental Quality Standards and updated Water Quality Objectives for the Isle of Man. The Scheme for Inland and Coastal waters was approved by Tynwald in December 2020. A further Scheme for Bathing Water standards will subsequently be brought to Tynwald in 2021 for approval.
The Schemes will include tables of maximum concentrations and updated water quality objectives for different parameters for inland, coastal and bathing waters. The values included in the Schemes have been recommended by external consultants APEM Ltd and developed in line with UK and EU regulations. The Schemes will be used to regulate and assess discharges from various sources and will improve the protection to all controlled waters which will benefit the ecosystem and public.
The reformed standards outlined in the Schemes will be regularly reviewed in line with the UK. If there are any changes to UK standards through further scientific research these changes will be considered and implemented if appropriate by the Isle of Man. 8.3.1. Heavy Metal Screening – All Island As part of the development of environmental quality standards a metal screening assessment was undertaken in March 2020 to assess the concentrations of specific suite of heavy metals at all 87 routine monitoring sites. This data was used by the Department’s consultants to revise the routine monitoring programme to include regular heavy metal monitoring at specified sites. Thirteen specified sites were identified through the metal screening process for regular heavy metal monitoring. The data collated from these sites will inform the Department on any changes in the metal concentrations resulting from the Islands mining legacy. Additional monitoring has been recommended for specific sites on the Santonburn, Foxdale stream, Glen Maye stream, Laxey river, Cornaa river, Dhoon river and the Lhen Trench. The data collected at these sites will be included in future monitoring reports.
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9. Conclusions
Overall the health of the Isle of Man watercourses is high, with 95% of monitoring sites achieving ‘Very Good’ chemical classification and 97% and 80% of phosphate and nitrogen sites achieving ‘Very Low’ or ‘Low’ classification. The concentration of nitrate in the northern and southern regions are slightly elevated compared to the rest of the Island and more research into the possible sources of this will be conducted. However, the general trend demonstrates continued quality improvement over all parameters monitored compared to data from the past 20 years.
Although the nutrient classifications are not improving at the same rate as the chemical classification there is still a positive trend. Further assessment using the most recent data needs to be completed to see if the peak results are long term trends or skewed results from an individual sample. In areas where long term trends are identified officers will work with stakeholders to identify the source and reduce the impact.
The additional monitoring projects being undertaken by the Environmental Protection Unit, will be used to improve the knowledge of the Department and increase protection of all controlled waters. This monitoring is helping to make informed choices on preventative works being undertaken across problematic catchments, and is assisting with the development of improved water quality standards for the Isle of Man. The EPU continue to develop legislative and regulatory schemes designed to encourage and nurture environmental improvements for all waterways across the Isle of Man.
10. Further Work
Continue collecting a full yearly data set for the following monitoring report; Continue to investigate all reported pollution incidents to protect controlled waters; Continue to progress the development of the Isle of Man specific River Invertebrate Classification Tool to improve the assessment of the biological/invertebrate data; Investigate the source of elevated nutrients concentrations in all regions in accordance with the most recent monitoring data; Additional monitoring in the winter for all sites to allow a comparison with the summer data when the weather is expected to provide less rainfall; Release guidance notes for owners of septic tanks and private sewage treatment works with regard to maintenance and discharge license conditions; Regularly review and update the Environmental Protection Units webpages will the most recent water reports and information; Collect additional samples to assess compliance with the Water Pollution (Standards and Objectives) Scheme 2020; Work with the agricultural sector to reduce run-off into nearby watercourses during adverse weather which should lead to reduced nutrient concentrations; Work with the relevant stakeholders to reduce the impact of historic landfills on nearby watercourses, including the erosion of plastic waste into inland waters.
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11. References
Environment Agency (1996). Assessing water quality: General Quality Assessment (GQA). Bristol: Environment Agency
European Commission (2000). Directive 2000/60/EC of the European Parliament and of the Council establishing a framework for the Community action in the field of water policy. Luxembourg: Office for Official Publications of the European Communities.
European Commission (2006). Directive 2006/7/EC of the European Parliament and of the Council concerning the management of bathing water quality and repealing Directive 76/160/EEC. Luxembourg: Office for Official Publications of the European Communities.
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12. Appendices
12.1. Appendix 1 – List of all sampling sites (codes and names)
Site Code River Name Site Name Region 2002 Middle River Richmond Hill 2003 River Douglas d/s Pulrose 2004 River Dhoo u/s Quaterbridge 2005 Middle River u/s discharge 2006 River Dhoo Union Mills 2007 Middle River Middle Farm 2011 River Dhoo d/s Greeba confluence 2013 River Glass Quaterbridge 2015 Sulby Stream u/s River Glass 2017 Baldwin River u/s Glass Confluence 2019 River Glass u/s Baldwin Tributary 2022 River Glass d/s reservoir 2023 River Glass Injebreck 2024 River Glass d/s discharge, u/s laid 2026 River Dhoo u/s Glen Vine Bridge Eastern 2027 Greeba River Creg-y-Whuallian 2028 River Dhoo d/s Archallagon 2029 River Glass d/s dairy 2030 River Glass u/s dairy 2031 Middle River Oakhill 2101 Groudle River Port Groudle 2102 Baroose Stream u/s Footbridge 2103 Groudle River u/s viaduct 2104 Groudle River u/s Molly Quirks Glen 2201 Baldrine Stream Garwick Bay 2211 River Laxey Old Laxey 2213 Glen Roy Stream u/s River Laxey 2216 Laxey River u/s Glen Roy Confluence 2218 Laxey River u/s Mooar Confluence 2311 Cornaa River Port Cornaa 2315 Cornaa River Ballaglass Glen 2421 Glen Auldyn Stream u/s Sulby confluence 2422 Fern Glen Stream u/s Glen Auldyn Stream 2423 Glen Auldyn Stream Glen Auldyn Arm Northern 2424 Garey Stream u/s Sulby Confluence 2427 Sulby River Garey Weir 2428 Sulby River Ellenbane 2429 Ballamenaugh Stream u/s Sulby River 2430 Sulby River u/s Ballamenaugh Confluence
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2431 Ballakerka Stream u/s Sulby Confluence 2432 Sulby River u/s Ballakerka Confluence 2433 Block Eary Stream u/s Sulby Confluence 2434 Sulby River u/s Block Eary Confluence 2435 Sulby River d/s reservoir 2436 Sulby River Druidale Northern 2438 Lhergyhenny Stream u/s Reservoir 2511 Lhen Trench Cronk-ny-bing 2512 Lhen Trench Kerrowmoar 2513 Lhen Trench Close-y-kewin 2603 Ballaugh Stream u/s Ballaugh Bridge 2634 Kirk Michael Stream d/s Fish Farm Abstraction 2651 Mooar Stream u/s Ford 2711 River Neb d/s weir & Raggatt 2714 Foxdale Stream u/s River Neb 2715 St John's Stream u/s Foxdale Stream Confluence 2718 Foxdale Stream u/s St John's Stream Confluence 2720 Foxdale Stream Lower Foxdale Western 2721 Foxdale Stream u/s Foxdale 2722 River Neb u/s Foxdale Stream Confluence 2725 River Neb Glen Helen 2726 River Neb u/s Ballahra 2728 River Neb u/s Raggatt Landfill Site 2801 Glen Maye Stream d/s Glen Maye 2802 Glen Maye Stream u/s Glen Maye 3002 Colby River Kentraugh 3004 Colby River Colby Glen 3021 Ballabeg Stream Strandhall 3031 Polyvaaish Stream u/s beach 3101 Silverburn u/s Castletown 3103 Awin Ruy u/s Silverburn Confluence 3105 Silverburn u/s Awin Ruy Confluence 3107 Awin Ruy St Marks 3108 Silverburn d/s Cringle Reservoir Southern 3111 Glashen Stream Derbyhaven
3201 Santonburn Ballawoods 3203 Santonburn Ballalona 3205 Santonburn Tosaby 3231 Crogga River Port Soderick 3233 Crogga River d/s Bushey's Brewery 3235 Crogga River u/s Mount Murray 3240 Port Erin Stream Athol Park Glen 3241 Cott-Ny-Greiney Surby 3242 Cott-Ny-Greiney Gansey Mill
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3243 Grenaugh River Port Grenaugh Southern 3244 Dhoon River Dhoon Glen 3245 Port Jack River Port Jack Glen Eastern 3246 Summerhill River Summerhill Glen
12.2. Appendix 2 – General Quality Assessment of Rivers Biology The biological scheme is based on the macro-invertebrate communities of rivers. Macro-invertebrates are small animals that can be seen with the naked eye and include insects such as mayflies, caddis- flies, snails, shrimps, worms and many others. Macro-invertebrates are useful for biological assessment because they are found in all fresh waters, do not move far and respond to everything in the water, as well as to physical damage to their habitat. They can be affected by pollutants that occur infrequently or in very low concentrations and which may be missed by chemical sampling.
The variety of macro-invertebrates differs from site to site and from river to river even when there is no pollution or physical disturbance. This is because they are affected by the size, slope, altitude and geographical location of the watercourse, the nature of the streambed, the river flow and the geology of the catchment. Because of such differences, it is best to describe biological quality as the difference between the macro-invertebrate communities actually found in the river and that which would be expected under natural conditions. We use a computer-based system called RIVPACS (River Invertebrate Prediction and Classification System) to predict the macro invertebrates that would be found if the river was unpolluted and undamaged.
The rivers and streams of the Isle of Man support a less diverse biological community than those in the UK which were used in setting up the RIVPACS database. Therefore a version of RIVPACS based on similar less diverse fauna from Northern Ireland has previously been used for the treatment of local data. While this is still not perfect because of the more diverse fauna found in Northern Island than the Isle of Man, it is the best available technique currently available for assessing the Island’s biological water quality.
Because there are 4,000 species of aquatic macro-invertebrates in the British Isles, the analysis of the samples has to be simplified, so we do not identify individual species but only the major types (taxa), mostly at the family taxonomic level. A key piece of information is the number of different taxa. A fall in the number of taxa is a general index of ecological damage, including overall pollution (organic, toxic and physical pollution such as siltation, and damage to habitats or the river channel). For consistency, we only consider the taxa used in the BMWP (Biological Monitoring Working Party) system. In the BMWP System, a numerical value has been assigned to 80+ different taxa (known as the BMWP-scoring families) according to their sensitivity or tolerance to organic pollution. The average of the values for each taxon in a sample, known as ASPT (average score per taxon) is a stable and reliable index of organic pollution. Values lower than expected indicate organic pollution.
The most useful way of summarising the biological data was found to be one that combined the number of taxa and the ASPT. The best quality is indicated by a diverse variety of taxa, especially those that are sensitive to pollution. Poorer quality is indicated by a smaller than expected number of taxa, particularly those that are sensitive to pollution. Organic pollution sometimes encourages an increased abundance of the few taxa that can tolerate it. RIVPACS is used to predict the number of taxa and the ASPT that would be expected at each site if the site was unstressed by pollution. We combine the results from samples collected in spring and autumn to take account of seasonal variations. Both ASPT and number of taxa in the samples are divided by the equivalent values
40 | P a g e predicted by RIVPACS so that they are expressed as the proportion of their value when environmental quality is good. These proportional values are called Ecological Quality Indices (EQIs).
An EQI of about 1 indicates that the ASPT or number of taxa in the sample collected from the site was the same as that predicted for the site by RIVPACS. From this we infer that the site is not damaged ecologically and that it is not polluted. Lower values of EQI indicate that the environment is damaged or the river is polluted. Occasionally, we get EQIs greater than 1: these indicate that the site is of better ecological quality than the average for an unpolluted or undamaged site of that type. EQIs enable us to compare the biological quality at different sites and rivers on a common scale, unaffected by the natural differences in the macro-invertebrates that they can support.
Classification
The biological grades are based on the values of the EQIs set out below. The grade assigned to a site is whichever one is the poorest, based on either EQI for ASPT or EQI for the number of taxa.
In setting up a system that applies to all types of rivers we started from the fact that it is easy to recognise the best and worst quality. The system started out as a consensus of industry biologists on the optimal, yet simple, way of giving the appropriate grade to rivers recognised as poor or bad. We then drew up a similar consensus for rivers of best quality. Between the extremes of very good and bad we chose intermediate grades that allow us to detect and report gradual changes so that we can act on deteriorations before they go too far. Although the biology of these intermediate grades will differ from site to site in terms of the actual taxa that are present, the grades will reflect the relative position of the sites on a common scale between the best and worst possible quality.
Grade A – very good
The biology is similar to (or better than) that expected for an average, unpolluted river of this size, type and location. There is a high diversity of families, usually with several species in each. It is rare to find a dominance of any one family.
Grade B – good
The biology shows minor differences from Grade 'a' and falls a little short of that expected for an unpolluted river of this size, type and location. There may be a small reduction in the number of families that are sensitive to pollution, and a moderate increase in the number of individuals in the families that tolerate pollution (like worms and midges). This may indicate the first signs of organic pollution
Grade C – fairly good
The biology is worse than that expected for an unpolluted river of this size, type and location. Many of the sensitive families are absent or the number of individuals is reduced, and in many cases there is a marked rise in the numbers of individuals in the families that tolerate pollution.
Grade D – fair
The biology shows considerable differences from that expected for an unpolluted river of this size, type and location. Sensitive families are scarce and contain only small numbers of individuals. There may be a range of those families that tolerate pollution and some of these may have high numbers of individuals.
Grade E – poor
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The biology is restricted to animals that tolerate pollution with some families dominant in terms of the numbers of individuals. Sensitive families will be rare or absent.
Grade F – bad
The biology is limited to a small number of very tolerant families, often only worms, midge larvae, leeches and the water hog-louse. These may be present in very high numbers but even these may be missing if the pollution is toxic. In the very worst case there may be no life present in the river.
Methods
A consistent discipline is adopted across the British Isles for sampling and analysis. This includes systems for auditing and controlling the quality of the data. Each biological site corresponds to a stretch of river also characterised by a chemical site. Although the biological and chemical sites are not always coincident, they are subject to the same water quality, and as far as possible not separated by tributaries, discharges, weirs or other potential influences on water quality. Two biological samples are collected, one in spring (March to May) and one in autumn (September to November). Strictly defined protocols are followed to ensure that the data are comparable throughout the British Isles, and compatible with RIVPACS. To take account of natural seasonal variations, the lists of families from samples collected in spring and autumn are pooled for the calculation of ASPT and the number of taxa at each site. The samples are collected by three-minutes of active sampling with a kick net. Every sample is supplemented with a one-minute visual search for individual animals living on the water surface or attached to rocks, logs or vegetation. All the samples are analysed in laboratories. The methods used to wash and sort the samples have been standardised as far as possible. Environmental measurements collected for RIVPACS comprise the width and depth of the stream, the alkalinity of the water and the percentage cover on the riverbed of boulders, gravel, sand and silt. RIVPACS uses annual averages based on measurements taken in spring, summer and autumn.
Environmental measurements for RIVPACS are collected with every biological sample and once in the summer so that we can check that the measurements on which the predictions are based are still representative. RIVPACS also uses information from maps about the sampling site. This includes the grid reference, the slope of the river, its altitude and the distance of the site from the source of the river.
A scheme of quality control is established in the laboratory, to ensure that an average of no more than two taxa was missed in each sample. This involves re-inspecting 10% of all samples. There is also an independent audit in which samples are reanalysed by biologists from the RIVPACS Team at the Centre for Ecology and Hydrology in Dorset every year. When introduced, these were the first systematic schemes for measuring and controlling the analytical quality of ecological surveys of this type and size anywhere in the world. All the procedures are documented in full to provide additional quality assurance. A common and unavoidable source of error is that a biologist may fail to notice all the taxa collected. The animals are often difficult to spot amongst the vegetation, gravel, silt or detritus collected with the sample. This error is much more likely than that of recording a taxon that is not in the sample. This introduces a bias and means that our assessments of biology tend to be pessimistic estimates of the true quality of the river. 12.3. Appendix 3 – General Quality Assessment of Rivers Chemistry The industry method for classifying the water quality of rivers is known as the General Quality Assessment scheme (GQA). It is designed to provide an accurate and consistent assessment of the state of water quality and changes in this state over time. The scheme consists of separate windows on water quality. The Chemical GQA describes quality in terms of chemical measurements which
42 | P a g e detect the most common types of pollution. It allocates one of six grades (A to F). The process is set out below.
To each sampling site, we assign the stretch of river that the site will characterise. In the main, these sites, and the monitoring, are the same as those used to take decisions on developments that may affect water quality - discharges, abstractions and changes in land use.
We use only the results from the routine pre-planned sampling programmes. To avoid bias we ignore any extra data collected for special surveys or in response to incidents.
Sites are sampled 3 times a year; spring, summer and autumn. We use the data collected over five years and this produces 15 samples per site.
The percentiles are calculated from the samples for biochemical oxygen demand, dissolved oxygen and ammonia and the results are compared with the standards in Table B1. A grade is assigned to each river length according to the worst determinant.
The grade is defined in Table B1 by standards for biochemical oxygen demand (BOD), ammonia and dissolved oxygen. These determinants are indicators of pollution that apply to all rivers, first because of the widespread risk of pollution from sewage or farms, and second because of the toxicity of ammonia and the requirement for dissolved oxygen for aquatic life, including fish. Table B2 describes the general characteristics of each grade.
Table B1 GQA Grade Dissolved Oxygen Biochemical Oxygen Ammonia Demand (% saturation) (mg/L) (mg N/L) 10th-percentile 90th-percentile 90th-percentile A 80 2.5 0.25 B 70 4 0.6 C 60 6 1.3 D 50 8 2.5 E 20 15 9.0 F <20 - -
Table B2 Chemical Grade Likely uses and characteristics * A – Very Good All abstractions Very good salmonid fisheries Cyprinid fisheries Natural ecosystems B – Good All abstractions Salmonid fisheries Cyprinid fisheries Ecosystems at or close to natural C – Fairly Good Potable supply after advanced treatment Other abstractions Good cyprinid fisheries Natural ecosystems, or those corresponding to good cyprinid fisheries D – Fair Potable supply after advanced treatment Other abstractions
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Fair cyprinid fisheries Impacted ecosystems E – Poor Low grade abstraction for industry Fish absent or sporadically present, vulnerable to pollution ** Impoverished ecosystems ** F – Bad Very polluted rivers which may cause nuisance Severely restricted ecosystems * Provided other standards are met ** Where the grade is caused by discharges of organic pollution
12.4. Appendix 4 – General Quality Assessment of Rivers Nutrients The same samples collected for Chemical GQA classification described in Appendix 2 above are further analysed for the nutrients Nitrate and Phosphate. The statistic used is the mean over a five year period.
Classification A grade from A to F is allocated for both phosphate and nitrate. These are not combined into a single nutrients grade. In this respect it differs from the chemical classification, which combines factors into a single grade. This cannot be done for nutrients. There are no set ‘good’ or ‘bad’ concentrations for nutrients in rivers in the way that we describe chemical and biological quality. Rivers with different topography have naturally different concentrations of nutrients. ‘Very low’ nutrient concentrations, for example, are not necessarily good or bad; the classifications merely states that concentrations in this river are very low relative to other rivers
Phosphate grades The table below gives the limit for each phosphate grade, i.e. averages less than 0.02 mgP/l are graded class A. The description given uses common terms to distinguish between the classes.
Classification for phosphate Grade limit (mg P/L) Description Mean A < 0.02 Very low B > 0.02 to 0.06 Low C > 0.06 to 0.1 Moderate D > 0.1 to 0.2 High E > 0.2 to 1.0 Very High F > 1.0 Excessively High
The descriptors used relate to the concentrations in the grades. ‘High’ descriptions are used for all the grades where the average is more than 0.1 mg/L. This is the concentration considered indicative of possible existing or future problems of ‘eutrophication’. This is the term given to the enrichment of water by nutrients, especially compounds of nitrogen and/or phosphorus, causing accelerated growth of algae and higher plant forms to produce an undesirable disturbance to the balance of organisms present in the water and the quality of the water concerned. High concentrations of phosphate do not necessarily mean that the river is eutrophic. Other factors have to be taken into account such as the amount and type of algae present, flow rates, and dissolved oxygen concentrations.
Nitrate grades The table below gives the limits for each grade. For example, grade 2 is assigned to averages between 5 and 10 mg NO3/L. The descriptors use common terms to distinguish between the grades.
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Classification for phosphate Mean Grade limit (mg NO3/L) Description
A < 5 Very low B > 5 to 10 Low C > 10 to 20 Moderately low D > 20 to 30 Moderate E > 30 to 40 High F > 40 Very High
The descriptors relate to the nitrate concentrations in each class. ‘High’ concentrations refer to average concentrations above 30 mg/L. This limit very roughly corresponds with a 95th percentile limit of 50 mg/L which is used in the EC Drinking Water Directive and the EC Nitrate Directive. There is, however, no direct comparison because the methods used to calculate the 95th percentile for the purposes of these Directives are strictly laid down and cannot be estimated from average concentrations over three years.
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12.5. Appendix 5 – RAW Data
Alkalinity Site Government Sampling Sample Conductivity BOD Dissolved Dissolved NH NO PO pH HCO 4 3 4 Code Lab Reference Date Temperature (°c) (µS/cm) (mg/L) O (%) O (mg/L) 3 (mg/L) (mg/L) (mg/L) 2 2 (mg/L) 3004 3355 04/04/2015 10.2 7.42 204 <2 85.90% 9.66 28.1 0.014 4.88 <0.07 3021 3172 04/04/2015 6.8 7.94 446 <2 92.30% 11.27 129 0.073 12.2 <0.07 3031 3174 04/04/2015 6.9 8.29 6.38 6 103.00% 12.5 263 0.064 9.89 <0.07 3101 3356 04/04/2015 10.3 8.03 264 <2 96.80% 10.85 66 0.016 8.15 <0.07 3111 3173 04/04/2015 7.1 7.95 638 <2 89.40% 0.058 11.3 <0.07 3201 3357 04/04/2015 12 7.81 234 <2 98.10% 0.011 9.21 <0.07 3231 3358 04/04/2015 10.5 7.68 261 <2 95.00% 0.01 11.4 <0.07 2011 3360 04/04/2015 9.5 6.98 150 <2 90.40% 10.32 29.1 0.033 3.49 <0.07 2026 3359 04/04/2015 11.5 7.3 161 <2 105.00% 11.47 30.9 0.095 5.05 0.14 2023 3361 04/04/2015 14.5 6.7 72 <2 105.00% 10.67 4.16 <0.010 0.94 <0.07 2002 4196 24/05/2015 12.6 7.34 270 3 111.00% 11.8 42.6 0.047 15.9 <0.07 2001 4197 27/05/2015 12.4 7.56 173 <3 116.00% 12.4 33 0.019 6.82 <0.07 2007 4195 27/05/2015 12.2 7.24 278 5 109.00% 11.7 45.6 0.059 15.9 <0.07 2003 4198 27/05/2015 12.5 7.53 287 3 112.00% 11.9 53.9 0.065 14.3 <0.07 2711 4590 08/06/2015 10.1 7.46 164 <2 96.10% 10.82 32.7 0.02 3.98 <0.07 2101 4596 08/06/2015 9.3 7.39 206 <2 96.70% 11.1 39.6 <0.010 7.16 <0.07 2029 4592 08/06/2015 9.4 7.52 122 <2 97.60% 11.18 16.8 <0.010 4.3 <0.07 2030 4594 08/06/2015 9.2 7.42 121 <2 96.30% 11.09 18.4 <0.010 4.27 <0.07 2714 4873 16/06/2015 11.1 7.5 157 <2 90.60% 9.97 34.8 0.01 4.02 <0.07 3233 4874 16/06/2015 10.1 7.46 195 2 78.50% 8.84 40.1 0.036 3.19 0.15 3235 4875 16/06/2015 11.7 7.56 169 <2 91.30% 9.91 28.5 0.015 4.2 <0.07 2103 4871 16/06/2015 11 7.58 219 <2 88.40% 9.75 38.7 0.028 9.4 <0.07 2211 4872 16/06/2015 10.9 7.7 102 <2 87.50% 9.67 13.8 0.016 2.37 <0.07 2017 5434 09/07/2015 11.2 7.62 123 <2 84.50% 9.28 0.023 3.75 <0.07
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2019 5433 09/07/2015 11.2 7.66 149 3 83.60% 9.18 1.15 7.14 0.49 3002 8166 01/10/2015 9.8 7.93 234 <2 91.00% 10.32 52.5 0.039 4.21 <0.07 3004 8167 01/10/2015 10 7.77 186 <2 92.00% 10.38 27.7 0.016 3.49 <0.07 3021 8168 01/10/2015 9.4 7.76 458 <2 90.00% 10.25 160 0.056 9.81 0.2 3031 8165 01/10/2015 9.7 8 764 <2 87.00% 9.88 301 0.038 6.79 <0.07 3101 8170 01/10/2015 10.1 7.98 264 <2 94.00% 10.64 70 0.027 6.36 <0.07 3103 8171 01/10/2015 10.5 7.94 232 <2 93.00% 10.36 55.8 0.027 7.84 <0.07 3105 8172 01/10/2015 10.2 7.91 207 <2 94.00% 10.61 42.4 0.016 6.57 <0.07 3107 8173 01/10/2015 10.9 7.83 231 <2 95.00% 10.47 53.9 0.017 7.83 <0.07 3108 8174 01/10/2015 9.5 8.03 125 <2 88.00% 10.06 6.14 <0.010 1.62 <0.07 3111 8169 01/10/2015 11.1 7.84 661 <2 92.00% 10.14 0.072 8.42 <0.07 2711 8343 05/10/2015 10.2 7.46 186 <2 92.40% 10.38 44.9 0.15 5.37 <0.07 2714 8352 05/10/2015 10.4 7.31 116 <2 95.50% 10.68 20.4 <0.010 2.33 <0.07 2715 8344 05/10/2015 10.9 7.38 193 <2 94.10% 10.4 45.7 0.029 6.67 <0.07 2718 8345 05/10/2015 10.8 7.47 161 <2 96.30% 10.68 33.4 0.011 2.75 <0.07 2720 8347 05/10/2015 10.9 7.57 118 <2 95.90% 10.59 7.26 0.021 1.3 <0.07 2721 8346 05/10/2015 10.8 7.39 184 <2 95.00% 10.52 35.5 0.02 1.94 <0.07 2722 8353 05/10/2015 10.6 7.2 180 <2 95.60% 10.64 38.7 0.091 4.95 0.09 2725 8348 05/10/2015 10.1 7.51 96.1 <2 96.10% 10.82 14.3 <0.010 1.91 <0.07 2726 8349 05/10/2015 10.3 7.31 186.7 <2 94.70% 10.61 46.2 0.031 5.38 <0.07 2728 8351 05/10/2015 10.3 7.2 181 <2 96.80% 10.85 47.4 0.02 5.25 <0.07 2004 8340 05/10/2015 10.3 7.66 197 <2 95.10% 10.67 48.1 0.036 7.31 0.15 2011 8341 05/10/2015 10.6 7.6 153 <2 88.60% 9.89 33.9 0.051 2.77 <0.07 2026 8342 05/10/2015 10.5 7.5 167 <2 90.00% 10.04 36.4 0.23 4.99 0.15 2027 8350 05/10/2015 10.6 7.12 136 <2 83.50% 9.29 29 0.042 1.47 <0.07 2716 8396 06/10/2015 11.1 7.4 158 <2 100.00% 10.95 4.58 0.01 0.18 <0.07 3205 8397 06/10/2015 11.7 7.12 214 <2 99.00% 10.76 0.031 1.81 <0.07 2001 8394 06/10/2015 11.9 7.15 281 <2 103.00% 11.1 59.7 0.054 14.9 <0.07 2003 8389 06/10/2015 11.5 7.25 150 <2 104.00% 11.35 29.5 0.02 6.01 <0.07 2006 8385 06/10/2015 10.2 7.36 192 <2 93.00% 10.49 46 0.037 7.59 <0.07
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2028 8398 06/10/2015 10.8 5.69 152 <2 97.00% 10.78 3.35 0.025 0.19 <0.07 2013 8399 06/10/2015 10.9 7.06 143 <2 98.00% 10.87 2.46 0.015 5.9 <0.07 2015 8392 06/10/2015 10.9 7.17 167 <2 102.00% 11.24 40 0.015 4.7 <0.07 2016 8388 06/10/2015 11 7.3 120 <2 100.00% 10.98 18.9 0.01 6.04 <0.07 2017 8387 06/10/2015 10.5 7.33 113 <2 99.00% 11.06 18.6 0.01 3.5 <0.07 2019 8390 06/10/2015 10.7 7.32 119 <2 100.00% 11.06 16.3 0.017 6.79 <0.07 2022 8386 06/10/2015 7.54 72.3 <2 10.29 9.27 0.037 1.13 <0.07 2023 8391 06/10/2015 10.8 7.49 70 <2 101.00% 11.19 5.36 0.013 0.78 <0.07 2634 8455 07/10/2015 10.2 7.47 269 <2 93.80% 10.54 92.4 0.011 5.55 <0.07 2651 8445 07/10/2015 10.2 7.48 170 <2 99.60% 11.19 40.5 <0.010 2.42 <0.07 3201 8447 07/10/2015 9.7 7.49 263 <2 96.40% 10.96 <0.01 9.61 <0.07 3203 8446 07/10/2015 10.5 7.45 223 <2 100.00% 11.17 0.014 6.68 <0.07 3231 8448 07/10/2015 9.6 7.52 263 <2 96.00% 10.95 0.01 9.7 <0.07 3233 8449 07/10/2015 10.2 7.61 169 2 94.50% 10.62 0.018 2.62 <0.07 3235 8450 07/10/2015 9.8 7.59 169 5 92.50% 10.49 0.025 2.64 <0.07 2002 8452 07/10/2015 10.7 7.45 273 <2 96.70% 10.74 53.3 0.264 14.8 <0.07 2005 8451 07/10/2015 9.7 7.42 262 <2 95.90% 10.91 48.2 0.023 14.1 <0.07 2007 8453 07/10/2015 10 7.41 263 2 96.60% 11.29 47.9 0.035 13.9 <0.07 2031 8454 07/10/2015 10.3 7.39 273 4 95.30% 10.69 52.7 0.212 14.1 <0.07 2311 8576 12/10/2015 10.1 7.12 119 <2 95.40% 10.74 10.6 0.023 1.5 0.09 2315 8580 12/10/2015 9.9 6.9 147 <2 97.20% 11 21.5 <0.010 3.23 <0.07 2801 8487 12/10/2015 9.9 7.3 145 <2 94.00% 10.63 23.1 0.058 2.89 0.12 2802 8488 12/10/2015 9.9 7.33 128 <2 94.00% 10.59 15.3 0.039 1.94 <0.07 2102 8582 12/10/2015 11.1 7 189 <2 98.50% 10.83 39.7 0.015 5.02 <0.07 2103 8581 12/10/2015 11 6.92 233 <2 97.60% 10.76 39.3 <0.010 11.7 <0.07 2211 8577 12/10/2015 9.9 7.13 81.8 <2 96.70% 10.95 9.94 <0.010 1.01 <0.07 2213 8578 12/10/2015 10 7.1 91.6 <2 96.40% 10.88 11.4 <0.010 1.74 <0.07 2216 8583 12/10/2015 9.8 7.28 72.9 <2 95.90% 10.88 6.92 0.012 0.6 <0.07 2218 8579 12/10/2015 10.1 7.14 63.6 <2 97.80% 11.01 4.47 <0.010 0.43 <0.07 2512 8665 13/10/2015 10.5 6.32 508 <2 98.00% 10.95 193 0.026 22.2 <0.07
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2603 8668 13/10/2015 10.2 7.41 102 <2 96.00% 10.74 12.6 0.013 2.66 <0.07 2421 8662 13/10/2015 11.1 6.46 74.1 <2 100.00% 11.05 6.47 <0.010 0.66 <0.07 2422 8663 13/10/2015 11.2 6.47 65.3 <2 100.00% 10.97 6.7 0.02 0.44 <0.07 2423 8664 13/10/2015 10.8 6.44 88 <2 99.00% 10.92 5.47 0.015 0.68 <0.07 2101 8686 14/10/2015 9.9 7.03 218 <2 95.00% 10.79 44 0.046 7.74 <0.07 2104 8685 14/10/2015 10.3 6.98 219 <2 96.00% 10.78 46.7 0.026 7.73 <0.07 2201 8684 14/10/2015 10.1 6.91 239 <2 96.00% 10.85 48.8 0.02 10.8 <0.07 2435 8681 14/10/2015 9.8 6.5 87.8 <2 94.00% 10.7 7.26 0.046 0.71 <0.07 2436 8683 14/10/2015 11.1 6.67 69 <2 101.00% 11.09 6.81 0.011 0.28 <0.07 2438 8682 14/10/2015 10.1 6.59 83.3 7 95.00% 10.67 7.03 0.051 0.71 <0.07 2424 8816 20/10/2015 10.1 6.92 83.8 <2 101.00% 11.39 9.04 0.036 1.26 <0.07 2427 8817 20/10/2015 10.2 6.77 431 <2 99.00% 11.08 167 0.114 6.58 <0.07 2428 8818 20/10/2015 10 7.27 78 <2 103.00% 11.62 12.1 0.032 1.22 <0.07 2429 8848 20/10/2015 9.5 6.89 112 <2 102.00% 11.67 20.8 0.029 3.36 <0.07 2430 8851 20/10/2015 9.3 6.8 83.8 <2 100.00% 11.5 9.27 <0.010 1.27 <0.07 2431 8846 20/10/2015 9.6 7.05 86 <2 98.80% 11.26 9.49 <0.010 1.02 <0.07 2432 8847 20/10/2015 9.6 6.9 81.4 <2 98.90% 11.27 8.37 <0.010 1.07 <0.07 2433 8849 20/10/2015 9.6 6.88 67.1 <2 97.70% 11.14 9.6 0.022 1.1 <0.07 2434 8850 20/10/2015 9.8 6.81 82.5 <2 98.20% 11.14 9.71 0.028 0.92 <0.07 3004 379 15/01/2016 6.1 7.78 196 <2 99.90% 12.4 23.2 <0.010 6.31 <0.07 3021 378 15/01/2016 5.9 7.52 394 3 94.40% 11.5 113 0.155 12.9 <0.07 3101 380 15/01/2016 5.1 7.63 244 <3 98.40% 12.4 58.6 0.039 8.94 <0.07 3111 377 15/01/2016 6.1 7.42 540 2 93.80% 10.7 201 0.111 8.86 <0.07 3201 425 15/01/2016 5.6 7.11 230 <2 94.50% 12.2 44 0.025 11.01 <0.07 3231 426 15/01/2016 5.6 7.16 252 <2 92.10% 11.6 41.3 0.018 11.7 <0.07 2004 422 15/01/2016 5.7 7.12 193 <5 93.70% 11.8 37.5 0.088 7.88 <0.07 2029 423 15/01/2016 6 7.25 125 <2 95.70% 11.9 17.1 <0.010 6.56 <0.07 2030 424 15/01/2016 6.1 7.25 125 <2 97.80% 12.2 16.7 0.016 6.49 <0.07 3233 583 20/01/2016 5.6 6.98 188 <2 94.20% 11.9 34.9 0.09 6.27 <0.07 3235 584 20/01/2016 5.9 6.98 167 <2 84.70% 10.6 25.6 0.091 6.59 <0.07
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2002 580 20/01/2016 6.1 7.03 262 <2 91.30% 11.3 49.8 0.224 14.5 <0.07 2007 585 20/01/2016 6.5 6.94 254 <2 93.50% 11.5 40.7 0.048 14.9 <0.07 2011 581 20/01/2016 5.2 7.15 147 <2 88.80% 11.3 24 0.048 5.38 <0.07 2023 582 20/01/2016 5.5 7.31 71.9 <2 95.50% 12.1 4394 <0.010 1.72 <0.07 2001 642 21/01/2016 6.1 7.17 171 6 92.20% 11.5 41.3 0.298 6.78 <0.07 2003 643 21/01/2016 6.3 7.27 124 3 97.20% 12 19.2 0.199 6.07 <0.07 2725 784 27/01/2016 6.8 7.4 83.6 <2 92.00% 11.23 5.41 0.014 1.9 <0.07 2103 783 27/01/2016 6.1 7.2 176 <2 91.00% 11.26 26.1 0.023 6.41 <0.07 3021 3572 27/04/2016 8.6 7.56 452 2 103.00% 11.98 137 0.075 15.2 <0.07 3031 3571 27/04/2016 8.7 7.39 657 5 111.00% 12.9 269 0.027 10.8 <0.07 3101 3573 27/04/2016 9 7.78 258 <3 110.00% 12.7 62.3 0.02 8.29 <0.07 3111 3574 27/04/2016 9.1 7.52 582 5 101.00% 11.6 231 0.039 7.5 <0.07 2001 3616 28/04/2016 8.2 6.71 193 6 99.40% 11.7 44 0.155 7.32 <0.07 2003 3617 28/04/2016 8.1 6.78 152 3 103.00% 12.2 32.5 0.078 5.79 <0.07 2029 3618 28/04/2016 9.2 6.87 130 <2 108.00% 12.5 20.5 <0.010 5.98 <0.07 2030 3619 28/04/2016 9.2 6.87 131 <2 110.00% 12.6 21.4 <0.010 6.09 <0.07 3231 3714 04/05/2016 8.5 7.18 255 <2 94.90% 11.11 47.5 0.012 9.93 <0.07 3233 3715 04/05/2016 8.4 7.23 192 2 91.70% 10.76 42.5 0.025 4.17 <0.07 3235 3712 04/05/2016 8.4 7.24 272 3 94.90% 11.13 32.5 0.019 4.55 <0.07 2007 3713 04/05/2016 8.2 7.18 266 3 94.40% 11.13 48.1 0.177 12.9 <0.07 2002 3766 05/05/2016 8.6 6.88 203 2 101.00% 11.74 44.7 0.028 7.21 <0.07 2011 3767 05/05/2016 8.2 6.95 160 2 95.30% 11.23 32.3 0.045 3.55 <0.07 2026 3769 05/05/2016 8.3 6.93 178 <2 101.00% 11.83 34.9 0.12 4.44 <0.07 2023 3768 05/05/2016 8.9 7.2 68 <2 97.20% 11.26 5.54 <0.010 0.71 <0.07 2711 3795 06/05/2016 8.9 7.39 89.2 3 94.00% 10.84 9.06 0.027 1.42 <0.07 2714 3797 06/05/2016 8.8 7.22 119 <2 91.00% 10.52 18.8 <0.010 2.26 <0.07 2722 3796 06/05/2016 8.8 7.29 186 <2 90.00% 10.45 36.9 5.44 0.1 2725 3798 06/05/2016 8.9 7.44 84.2 <2 88.00% 10.14 8.12 <0.010 1.43 <0.07 2101 3962 11/05/2016 10 6.87 213 <2 94.00% 10.56 38.9 0.021 8.75 <0.07 2103 3963 11/05/2016 9.9 6.93 212 <2 95.00% 10.8 38.8 0.011 8.84 <0.07
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2211 3961 11/05/2016 9.8 6.71 182 2 91.00% 10.35 36.5 0.015 5.21 <0.07 2634 4010 12/05/2016 9.9 6.64 137 <2 84.50% 9.56 25.3 <0.010 2.01 <0.07 2651 4011 12/05/2016 10 6.75 180 <2 84.80% 9.57 38.8 <0.010 3.11 <0.07 2428 4009 12/05/2016 10.1 6.7 80.3 <2 86.70% 9.76 5.76 0.017 0.59 <0.07 2435 4008 12/05/2016 10.2 6.78 81.7 <2 88.50% 9.95 6 0.017 0.58 <0.07 3004 4023 13/05/2016 10 6.47 200 7 98.50% 10.14 26.6 0.014 4.74 <0.07 3201 4024 13/05/2016 10.1 6.63 224 <2 92.00% 10.36 53.16 0.027 10.1 0.66 2423 4021 13/05/2016 9.6 6.46 90.6 6 78.50% 8.95 11.9 0.119 1.07 <0.07 2711 6778 05/08/2016 12.4 7.59 217 <2 95.10% 10.16 58.2 0.021 6.05 <0.07 2722 6777 05/08/2016 12.6 7.55 232 <2 95.10% 10.11 61.2 0.018 7.46 <0.07 2725 6776 05/08/2016 12.5 7.88 80.2 <2 96.20% 10.24 9.72 0.018 0.58 <0.07 2726 6775 05/08/2016 12.6 7.88 197 <2 97.40% 10.35 50.2 0.016 5.06 <0.07 2728 6779 05/08/2016 12.8 7.65 200 <2 98.60% 10.43 51 0.019 5.28 <0.07 2511 6902 10/08/2016 12.4 7.86 553 <2 91.00% 9.72 196 0.068 26.1 <0.07 2512 6903 10/08/2016 12.3 7.76 476 <2 88.00% 9.45 167 0.076 21.4 <0.07 2513 6904 10/08/2016 12.3 7.72 488 >7 83.00% 8.92 164 0.094 23.7 <0.07 2634 6905 10/08/2016 12.9 7.8 337 <2 94.00% 9.96 120 0.103 7.15 <0.07 2651 6906 10/08/2016 12.7 7.94 219 <2 95.00% 10.11 54.3 0.107 4.45 <0.07 2714 6907 10/08/2016 12.8 7.78 209 3 94.00% 9.94 42.9 0.361 6.3 0.3 2715 6908 10/08/2016 12.7 7.71 248 <2 97.00% 10.27 66.8 0.107 8.58 <0.07 2721 6909 10/08/2016 12.8 7.79 177 <2 96.00% 10.18 31.9 0.104 1.41 <0.07 2716 6961 11/08/2016 12.7 6.68 229 <2 90.40% 9.59 55.9 <0.010 8.96 0.14 2718 6962 11/08/2016 12.8 6.67 111 <2 93.70% 9.91 3.13 <0.010 0.84 <0.07 2720 6963 11/08/2016 12.8 6.54 111 <2 94.40% 9.99 4.36 <0.010 0.86 <0.07 2006 6964 11/08/2016 12.5 6.79 221 <2 88.30% 9.4 47.4 <0.010 9.88 0.39 2011 6965 11/08/2016 12.5 6.81 217 <2 87.70% 9.34 42.6 0.073 3.1 <0.07 2026 6966 11/08/2016 12.4 6.88 199 <2 89.10% 9.51 40.7 0.215 9.49 0.61 2027 6967 11/08/2016 6.75 168 <2 9.03 40.1 0.05 1.67 <0.07 2801 7031 12/08/2016 13.1 7.03 151 <2 90.40% 9.5 21.5 0.027 2.78 0.19 2802 7032 12/08/2016 12.9 7.1 129 <2 87.00% 9.19 16.4 <0.010 0.81 <0.07
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3002 8604 05/10/2016 12.9 7.12 268 <2 94.10% 9.94 55.8 0.026 4.84 <0.07 3004 8605 05/10/2016 12.1 7.3 186 <2 94.40% 10.15 20.9 <0.010 2.8 <0.07 3021 8606 05/10/2016 13.1 8.2 506 <2 95.40% 10.03 169 0.066 7.88 0.07 3031 8607 05/10/2016 12.6 8.02 723 <2 94.60% 10.06 306 0.075 7.89 <0.07 3101 8669 06/10/2016 12.9 7.6 279 2 99.40% 10.49 56.5 <0.010 5.51 <0.07 3111 8670 06/10/2016 13.1 8.2 668 <2 97.80% 10.28 245 0.029 8.32 <0.07 2013 8704 07/10/2016 10.2 6.71 139 <2 97.00% 10.86 24.9 <0.010 5.72 <0.07 2015 8703 07/10/2016 10 6.7 127 <2 94.00% 10.56 20.2 0.05 7.37 <0.07 2019 8705 07/10/2016 10.1 6.81 102 <2 96.00% 10.78 14.8 0.01 2.95 <0.07 2029 8706 07/10/2016 10.3 6.74 133 <2 96.00% 10.81 22.8 <0.010 5.42 <0.07 2030 8707 07/10/2016 10.3 6.8 134 <2 98.00% 10.96 22.2 <0.010 5.4 <0.07 2001 9416 02/11/2016 9.1 7.1 160 <2 100.00% 11.54 30.6 0.015 6.68 <0.07 2002 9417 02/11/2016 9 7.01 260 5 93.00% 10.75 49.4 0.034 12.1 <0.07 2005 9414 02/11/2016 8.9 6.95 266 <2 94.00% 10.9 43.1 0.039 13.3 <0.07 2007 9415 02/11/2016 9 6.98 257 >9 93.70% 10.83 46.3 0.03 13 <0.07 2003 9418 02/11/2016 9.2 7.04 277 3 97.50% 11.22 56.2 0.057 12.1 <0.07 2028 9419 02/11/2016 8.7 7.11 203 <2 96.80% 11.28 45.3 0.039 7.29 <0.07 3201 9470 03/11/2016 8.7 6.67 221 9 97.00% 11.35 45.4 0.086 1.8 <0.07 3205 9471 03/11/2016 8.8 6.8 221 2 101.00% 11.68 44.6 0.088 1.81 <0.07 2016 9466 03/11/2016 9.1 6.25 68.7 <2 100.00% 11.5 5.14 0.014 0.79 <0.07 2017 9467 03/11/2016 9.1 4.69 144 <2 93.00% 10.73 0.45 <0.010 2.95 <0.07 2022 9468 03/11/2016 9 6.03 71.7 <2 101.00% 11.68 3.35 0.015 0.8 <0.07 2023 9469 03/11/2016 9 6.1 68.1 <2 102.00% 11.74 3.13 0.012 0.8 <0.07 3231 9714 10/11/2016 7.1 7.38 246 <2 98.00% 11.83 46.3 0.024 11.5 <0.07 3233 9715 10/11/2016 7.1 7.47 167 3 89.00% 10.82 28.4 0.151 5.12 <0.07 3235 9716 10/11/2016 7.1 7.33 166 3 90.00% 10.95 26.4 0.159 5.04 <0.07 2101 9710 10/11/2016 7.4 7.33 183 <2 98.00% 11.83 31.9 0.029 5.77 <0.07 2102 9711 10/11/2016 7.9 7.33 214 <2 99.00% 11.82 40.9 0.029 9.24 <0.07 2103 9712 10/11/2016 7.5 7.44 170 <2 99.00% 11.89 29.2 0.02 4.77 <0.07 2104 9713 10/11/2016 7.3 7.47 167 <2 98.00% 11.81 29.5 0.026 4.62 <0.07
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3103 9820 14/11/2016 7.4 6.94 184 <2 93.00% 11.2 30.4 0.016 6.15 <0.07 3105 9821 14/11/2016 7.1 6.96 146 <2 92.00% 11.2 25.1 0.062 5.3 <0.07 3108 9819 14/11/2016 7 6.93 187 <2 91.00% 11.1 29.7 0.013 6.16 <0.07 2311 9955 16/11/2016 6.9 7.46 211 <2 91.00% 11.1 41.6 0.069 12.5 0.09 2201 9954 16/11/2016 6.9 7.44 240 <2 90.00% 10.9 47.2 0.091 11.2 <0.07 2651 10028 17/11/2016 6.8 7.23 154 <2 92.00% 11.19 27.7 <0.010 2.7 <0.07 2435 10025 17/11/2016 6.3 7.52 92.4 <2 88.00% 10.92 7.15 0.026 1.12 <0.07 2436 10026 17/11/2016 6.6 7.37 65.6 <2 92.00% 11.23 5.03 0.011 0.61 <0.07 2438 10027 17/11/2016 6.3 7.07 141 <2 89.00% 11.06 44.9 <0.010 0.87 <0.07 2315 10089 18/11/2016 7.2 7.54 202 <2 92.00% 11.1 33.2 <0.010 11.7 <0.07 2211 10090 18/11/2016 6.3 7.31 102 <2 94.00% 11.66 14.3 <0.010 3.3 <0.07 2213 10091 18/11/2016 6.5 7.35 101 <2 96.00% 11.79 14.1 <0.010 3.82 <0.07 2216 10092 18/11/2016 6.5 7.33 89.5 <2 96.00% 11.84 13 0.031 2.63 <0.07 2218 10093 18/11/2016 6.1 7.26 99.3 <2 95.00% 11.75 14 <0.010 3.3 <0.07 2428 10227 23/11/2016 6 6.63 74.6 <2 94.00% 11.71 7.15 0.032 1.07 <0.07 2429 10228 23/11/2016 5.9 6.91 107 <2 95.60% 11.95 13.2 <0.010 3.55 <0.07 2430 10229 23/11/2016 5.9 6.83 65.5 <2 95.90% 11.86 4.47 0.021 0.8 <0.07 2431 10230 23/11/2016 6 6.61 64.1 3 94.00% 11.71 4.58 0.025 0.72 <0.07 2432 10231 23/11/2016 6 6.6 64.4 <2 94.50% 11.78 3.91 0.026 0.72 <0.07 2421 10279 24/11/2016 5.9 6.44 89.4 <3 101.00% 12.66 3.69 <0.010 1.59 <0.07 2422 10280 24/11/2016 5.9 6.38 69.8 <3 99.80% 12.56 2.91 <0.010 1.3 <0.07 2423 10281 24/11/2016 5.9 6.6 107 <3 99.50% 12.52 11.9 0.011 3.86 <0.07 2433 10282 24/11/2016 5.9 6.73 111 <3 101.00% 12.58 8.38 <0.010 3.72 <0.07 2434 10283 24/11/2016 6.1 6.75 109 <3 103.00% 12.77 14.1 0.02 2.11 <0.07 3004 495 17/01/2018 5 7.28 195 <2 95.00% 12.1 23.8 <0.010 8.46 <0.07 3021 496 17/01/2018 5.5 7.55 455 3 94.00% 11.92 144 0.18 21.4 0.1 3031 494 17/01/2018 4.9 7.67 693 3 89.00% 11.46 301 0.163 18.4 0.11 3101 493 17/01/2018 5.1 7.58 263 <2 92.00% 11.73 64.4 0.039 11.2 <0.07 3111 497 17/01/2018 7.7 7.69 609 3 95.00% 11.32 239 0.084 14.6 <0.07 3201 498 17/01/2018 5.2 7.7 220 3 96.00% 12.23 49 0.021 10.8 <0.07
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2435 524 18/01/2018 5.6 6.19 85.4 <2 91.40% 11.5 5.1 0.018 0.94 <0.07 3231 732 24/01/2018 8 7.52 245 <2 89.00% 10.57 40.9 0.019 13.6 <0.07 3233 733 24/01/2018 7.5 7.41 187 <2 88.00% 10.52 32.7 0.078 6.87 <0.07 3235 734 24/01/2018 8 6.76 170 6 87.00% 10.36 25.6 0.067 8.59 <0.07 2711 808 25/01/2018 6.5 7.05 172 <2 101.00% 12.4 35.8 0.052 7.53 <0.07 2714 809 25/01/2018 6.5 7.01 162 3 99.10% 12.2 29.2 0.046 6.45 <0.07 2725 807 25/01/2018 5.9 6.72 95.2 3 98.30% 12.3 9.4 0.013 4.06 <0.07 2101 804 25/01/2018 6.8 7.39 186 3 100.00% 12.2 32.5 0.023 7.85 <0.07 2103 803 25/01/2018 6.6 7.21 165 <2 98.90% 12.1 30.3 0.018 5.51 <0.07 2421 805 25/01/2018 6.1 6.59 86.2 2 98.10% 12.2 5.66 0.012 3.15 <0.07 2428 806 25/01/2018 5.9 6.32 74.4 3 99.50% 12.4 5.55 0.021 2.14 <0.07 2011 826 26/01/2018 5.9 6.75 141 <2 91.20% 11.4 27.4 0.047 5.51 <0.07 2026 825 26/01/2018 5.9 6.76 149 <2 94.30% 11.5 28.4 0.112 6.31 <0.07 2023 824 26/01/2018 4.9 6.1 64.3 3 94.90% 12.2 3.4 <0.010 1.52 <0.07 2002 951 31/01/2018 6 7.37 194 <2 97.10% 12.01 37.6 0.053 10.7 <0.07 2007 950 31/01/2018 6.5 7.38 221 3 97.40% 11.98 43.8 0.079 12.3 <0.07 2029 959 01/02/2018 5.6 7.15 122 <2 94.80% 11.93 17.9 0.012 6.82 <0.07 2030 958 01/02/2018 5.5 7.18 121 <2 94.80% 11.96 18.9 0.016 6.73 <0.07 2001 1594 22/02/2018 7.1 7.35 269 <2 94.30% 11.4 58.9 0.16 12.5 <0.07 2003 1595 22/02/2018 6.1 7.29 145 <3 98.70% 12.3 25.9 0.021 7.82 <0.07 3004 3460 25/04/2018 8.5 7.28 194 <2 93.90% 10.99 25.9 <0.010 6.38 <0.07 3021 3461 25/04/2018 9 7.68 460 2 95.80% 11.08 153 0.145 16.9 0.08 3031 3462 25/04/2018 10.1 7.81 693 <2 99.10% 11.16 308 0.084 12 <0.07 3101 3463 25/04/2018 10.5 8.02 254 <2 103.00% 11.49 66.7 <0.010 8.47 <0.07 3111 3464 25/04/2018 10.9 7.75 599 <2 92.90% 10.26 240 0.037 13.5 <0.07 2029 3458 25/04/2018 10.8 7.27 125 <2 96.00% 10.58 22.6 <0.010 5.86 <0.07 2030 3459 25/04/2018 10.8 7.34 123 <2 101.00% 11.16 21.5 <0.010 5.81 <0.07 3231 3655 02/05/2018 9.1 7.5 249 <2 95.90% 11.06 52.6 0.014 11.6 <0.07 3233 3656 02/05/2018 11 7.57 185 4 98.50% 10.86 42.6 0.043 2.84 <0.07 3235 3657 02/05/2018 11.2 7.1 183 <2 99.60% 10.94 25.6 0.046 7.14 <0.07
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2101 3653 02/05/2018 9.7 7.37 170 <2 100.00% 11.4 32.3 0.033 6.46 <0.07 2103 3654 02/05/2018 10.6 7.39 149 <2 98.60% 10.97 28.9 0.018 4.29 <0.07 2711 3728 03/05/2018 8.5 7.24 173 <2 100.00% 11.7 44.2 0.017 5.22 <0.07 2714 3729 03/05/2018 8.6 7.27 169 3 100.00% 11.72 37.6 0.39 4.33 <0.07 2725 3730 03/05/2018 7.9 7.52 82.7 <2 99.70% 11.85 12.7 <0.010 1.72 <0.07 2011 3731 03/05/2018 8.6 7.15 134 <2 98.10% 11.45 29.2 0.058 3.11 <0.07 2001 3921 10/05/2018 10.9 7.54 287 <2 105.00% 11.56 70.8 0.068 11.9 <0.07 2003 3922 10/05/2018 10.6 7.69 166 <2 107.00% 11.89 37 0.019 6.58 <0.07 2026 3924 10/05/2018 11.2 7.03 148 <3 115.00% 12.61 36.2 0.067 4.55 0.1 2023 3923 10/05/2018 9.8 7.12 59.3 <2 99.60% 11.3 4.42 0.017 0.58 <0.07 2421 3925 10/05/2018 8.5 7.12 65.8 <2 97.90% 11.45 7.26 0.016 1.26 <0.07 2428 3926 10/05/2018 9 7.03 97.7 <2 100.00% 11.59 12.6 0.013 2.41 <0.07 2435 3927 10/05/2018 10.1 7.13 79.6 <2 102.00% 11.53 7.03 0.025 0.39 <0.07 3201 4048 16/05/2018 11.6 7.51 228 <2 105.00% 11.43 60.5 0.014 6.34 <0.07 2002 4046 16/05/2018 10.2 7.49 269 <2 97.00% 10.91 57 0.051 12.6 <0.07 2007 4047 16/05/2018 9.8 7.37 273 <2 97.70% 11.08 62.1 0.16 12.9 <0.07 2421 5201 21/06/2018 14.6 7.71 95.6 <2 96.00% 9.72 10.2 0.021 1.45 <0.07 2424 5200 21/06/2018 13.5 7.62 433 <2 93.00% 9.65 154 0.149 9.72 <0.07 2427 5199 21/06/2018 14.1 6.74 76.3 <2 95.00% 9.74 8.17 0.035 1.35 <0.07 2428 5198 21/06/2018 14.5 6.74 71.9 <2 96.00% 9.81 7.94 0.031 1.22 <0.07 2429 5197 21/06/2018 11.9 6.56 132 <2 91.00% 9.79 23.1 0.021 3.54 <0.07 2430 5196 21/06/2018 13.9 6.65 65.2 <2 95.00% 9.78 5.45 0.03 0.87 <0.07 2431 5195 21/06/2018 11.1 6.61 85.2 <2 89.00% 9.75 10.6 0.032 0.88 <0.07 2432 5194 21/06/2018 14.1 6.67 63.1 <2 95.00% 9.72 5.33 0.034 0.78 <0.07 2433 5193 21/06/2018 12.3 6.62 69.1 <2 93.00% 9.99 6.81 <0.010 1.66 <0.07 2434 5192 21/06/2018 12.5 6.6 75.2 <2 90.00% 9.6 9.08 0.032 0.8 <0.07 2435 5191 21/06/2018 13.4 6.6 70.6 <2 91.00% 9.52 8.96 0.056 0.71 <0.07 2311 5220 22/06/2018 14.9 7.7 108 <2 93.50% 9.44 14 0.051 5.36 0.07 2315 5221 22/06/2018 11.9 7.79 75.9 <2 91.90% 9.93 9.76 0.02 1.93 <0.07 2511 5224 22/06/2018 11.7 7.39 551 <2 85.00% 9.22 191 0.017 26 <0.07
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2512 5225 22/06/2018 12.5 7.49 477 <2 89.10% 9.48 154 0.056 20.8 <0.07 2513 5226 22/06/2018 12.1 7.43 350 5 81.20% 8.73 107 0.272 4.31 <0.07 2603 5227 22/06/2018 11.1 7.78 133 <2 87.00% 9.58 15.8 0.029 4.22 <0.07 2634 5228 22/06/2018 12.1 7.55 271 <2 87.90% 9.44 87.6 <0.010 5.83 <0.07 2651 5229 22/06/2018 10.9 7.69 210 <2 87.60% 9.68 52.4 0.025 4.26 <0.07 2201 5219 22/06/2018 12.1 7.5 222 <2 89.40% 9.61 48.2 <0.010 8.89 <0.07 2422 5222 22/06/2018 11.3 7.52 94.8 2 87.50% 9.59 8.96 0.011 0.72 <0.07 2423 5223 22/06/2018 12.1 7.56 74.1 <2 90.00% 9.67 6.58 <0.010 0.85 <0.07 3002 5344 27/06/2018 15.2 7.14 293 <2 91.50% 9.18 66 0.036 8.16 <0.07 3004 5349 27/06/2018 13.8 7.35 194 <2 88.20% 9.13 27 0.025 4.57 <0.07 3103 5346 27/06/2018 15.3 7.21 255 <2 89.90% 9 62.1 0.069 7.35 <0.07 3105 5347 27/06/2018 15.8 7.3 207 <2 91.00% 9.02 40.2 0.038 6.64 <0.07 3108 5348 27/06/2018 15.7 7.46 153 <2 90.80% 9.02 10.9 <0.010 2.72 <0.07 2801 5342 27/06/2018 14.2 7.29 177 <2 86.60% 8.89 31.5 0.059 4.85 0.3 2802 5343 27/06/2018 14.2 7.37 135 <2 87.10% 8.94 17.4 <0.010 1.2 <0.07 3111 5350 27/06/2018 13.6 7.87 613 <2 88.60% 9.21 244 0.06 10.8 <0.07 3203 5345 27/06/2018 16.5 7.13 279 3 91.30% 8.91 75.8 0.978 12.5 0.32 3031 5414 28/06/2018 18.9 7.83 712 <2 97.60% 9.07 307 0.062 5.75 <0.07 3101 5415 28/06/2018 18.3 8.24 301 <2 100.00% 9.43 91.7 0.026 6.45 <0.07 3107 5416 28/06/2018 17.4 8.2 170 3 89.20% 8.55 31.9 0.028 1.73 <0.07 3231 5418 28/06/2018 15.7 7.66 290 <2 89.40% 8.88 62.9 <0.010 12.3 <0.07 3233 5419 28/06/2018 17.9 7.69 235 <2 88.80% 8.42 68.6 0.05 2.26 0.18 2715 5577 04/07/2018 14.2 7.22 248 <2 91.10% 9.34 69.6 0.01 9.43 <0.07 2718 5578 04/07/2018 17 7.24 208 <2 94.90% 9.17 47 <0.010 2.54 <0.07 2720 5579 04/07/2018 15.5 7.34 251 <2 92.90% 9.26 58 0.028 1.31 <0.07 2721 5580 04/07/2018 14.3 7.63 112 <2 93.10% 9.52 7.94 0.012 0.77 <0.07 2004 5574 04/07/2018 19.4 7.27 252 <2 108.00% 9.94 61.6 0.034 12 0.2 2004 5574 04/07/2018 19.4 7.27 252 <2 108.00% 9.94 61.6 0.034 12 0.2 2006 5575 04/07/2018 16.3 7.24 231 <2 89.00% 8.72 49 0.073 16.1 0.64 2013 5576 04/07/2018 17.6 7.36 154 <2 98.30% 9.37 27.9 0.026 7.85 <0.07
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2722 5625 06/07/2018 13.4 7.17 149 <2 90.00% 9.39 31.2 0.018 3.64 <0.07 2726 5626 06/07/2018 13.8 7.04 211 <2 94.00% 9.68 45 0.326 9.49 0.35 2728 5627 06/07/2018 13.4 6.99 272 <2 94.00% 9.77 78.3 0.019 10.2 0.1 2102 5624 06/07/2018 13.1 7.05 250 <2 93.00% 9.79 46.5 0.03 13.6 0.07 2711 5863 13/07/2018 13.6 6.79 271 <2 92.40% 9.64 79.2 0.129 9.38 <0.07 2714 5864 13/07/2018 13.7 6.81 264 <2 89.90% 9.32 59 0.736 14.4 0.93 2725 5865 13/07/2018 13.5 7.16 96.7 <2 94.40% 9.84 14.2 0.05 1.55 <0.07 2011 5862 13/07/2018 14.2 6.87 188 <2 81.60% 8.37 49.9 0.061 3.84 <0.07 2101 6012 18/07/2018 14.4 6.97 227 <2 91.70% 9.36 46.1 0.052 10.4 0.07 2103 6013 18/07/2018 14.1 7.04 212 <2 94.50% 9.7 44.1 0.013 7.99 0.12 2001 6007 18/07/2018 14.2 6.85 313 <2 90.70% 9.3 75.6 0.038 12.9 <0.07 2003 6008 18/07/2018 15.3 6.96 209 <2 96.20% 9.63 51.3 0.015 8.77 <0.07 2026 6009 18/07/2018 13.9 6.93 217 3 75.50% 7.79 50.9 0.165 13.2 0.71 2029 6010 18/07/2018 14.2 7.07 135 <2 91.30% 9.37 23.9 0.011 6.92 <0.07 2030 6011 18/07/2018 14.2 7.08 134 <2 90.60% 9.29 24.5 0.014 6.92 <0.07 3235 6279 25/07/2018 14 6.83 167 <2 92.00% 9.43 20.4 0.013 7.12 <0.07 2104 6270 25/07/2018 14.7 6.78 191 <2 94.00% 9.51 42.8 0.012 6.03 <0.07 2015 6271 25/07/2018 13.7 6.75 187 <2 89.00% 9.27 47.2 <0.010 5.8 <0.07 2016 6272 25/07/2018 13.8 6.87 120 <2 91.00% 9.45 18.4 0.013 6.74 <0.07 2017 6273 25/07/2018 14 6.86 120 <2 91.00% 9.37 23.3 <0.010 3.08 <0.07 2019 6274 25/07/2018 13.6 6.88 114 <2 95.00% 9.9 17 <0.010 7.4 <0.07 2022 6275 25/07/2018 14.1 7.04 69.8 <2 92.00% 9.44 8.62 0.187 0.76 <0.07 2023 6276 25/07/2018 16.3 7.07 63.4 <2 94.00% 9.21 8.96 0.075 0.63 <0.07 2024 6277 25/07/2018 14 6.89 119 <2 92.00% 9.51 18.6 0.028 6.49 <0.07 2025 6278 25/07/2018 14.2 6.78 118 <2 91.00% 9.35 19.1 0.027 6.52 <0.07 3201 6373 27/07/2018 16.5 6.9 270 <2 96.00% 9.38 71 0.022 8.15 0.15 2211 6367 27/07/2018 18.9 6.73 124 <2 103.00% 9.54 25.6 0.015 2.51 <0.07 2213 6368 27/07/2018 15.1 6.75 116 <2 94.00% 9.44 22.7 <0.010 3.03 <0.07 2216 6369 27/07/2018 17.6 6.73 113 <2 97.00% 9.3 20.7 <0.010 2.11 <0.07 2218 6370 27/07/2018 15.9 6.84 86.8 <2 95.00% 9.38 12.1 <0.010 2.32 <0.07
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2031 6366 27/07/2018 15.2 6.43 327 2 95.00% 9.52 68 0.204 14.8 0.13 2027 6364 27/07/2018 13.3 6.43 193 <2 77.00% 8.04 49.5 0.083 2.55 <0.07 2028 6365 27/07/2018 12.7 6.55 149 <2 83.00% 8.78 6.92 0.037 0.14 <0.07 2436 6371 27/07/2018 14.6 6.9 81.8 <2 91.00% 9.24 16.5 <0.010 0.08 <0.07 2438 6372 27/07/2018 16.2 6.99 66 <2 94.00% 9.19 6.58 <0.010 <0.05 <0.07 2002 6980 15/08/2018 14.5 7.51 311 <2 92.50% 9.43 63.7 0.019 12.5 0.19 2005 6981 15/08/2018 14.7 7.44 276 <2 94.10% 9.54 59.3 0.023 11.1 0.23 2007 6982 15/08/2018 14.8 7.59 321 3 94.80% 10.12 62.5 0.417 13.8 0.13 2725 9350 31/10/2018 7.6 7.21 103 <2 89.00% 10.66 7.71 0.012 1.95 <0.07 2011 9352 31/10/2018 8.1 6.84 155 <2 88.90% 10.5 23.5 0.073 3.36 <0.07 3004 9425 01/11/2018 7.6 7.34 207 <2 85.50% 10.24 14.5 0.015 2.45 <0.07 3021 9426 01/11/2018 7.6 7.23 487 6 83.20% 9.91 142 1.61 8.74 0.35 3031 9427 01/11/2018 7.2 7.41 672 2 82.60% 9.99 241 0.129 8.2 <0.07 3101 9428 01/11/2018 7.8 7.93 232 <2 89.10% 10.61 43.6 0.022 6.57 <0.07 3111 9429 01/11/2018 10.1 7.6 603 3 88.80% 10 196 0.237 14.7 0.13 3231 9431 01/11/2018 8 7.56 236 2 90.90% 10.77 44.5 0.029 9.24 <0.07 3233 9430 01/11/2018 7 7.55 183 3 88.20% 10.72 40.2 0.055 4.62 <0.07 3235 9454 02/11/2018 8.9 6.93 185 <2 86.20% 9.99 25.9 <0.010 7.2 <0.07 2001 9456 02/11/2018 8.5 7.41 275 <2 89.90% 10.51 57.8 0.087 12.5 <0.07 2003 9455 02/11/2018 7.7 7.12 164 <2 88.60% 10.57 31.2 0.015 5.84 <0.07 2029 9452 02/11/2018 7.4 7.24 133 <2 88.20% 10.6 18.3 <0.010 5.21 <0.07 2030 9453 02/11/2018 7.2 7.25 127 <2 87.70% 10.6 17.8 0.012 5.19 <0.07 2002 10014 21/11/2018 8.7 6.75 238 <2 96.80% 11.28 42.1 0.044 15.1 <0.07 2023 10013 21/11/2018 6.7 6.44 62.1 <2 95.20% 11.65 4.37 <0.010 1.01 <0.07 2101 10078 22/11/2018 8 7.22 179 <2 97.70% 11.58 29.5 <0.010 7.65 <0.07 2103 10077 22/11/2018 7.9 6.61 160 <2 98.90% 11.74 26 <0.010 5.54 <0.07 2007 10079 22/11/2018 9 7.17 261 2 98.10% 11.34 48.7 0.172 16.3 <0.07 2421 10076 22/11/2018 7 6.52 81.1 <2 95.80% 11.64 4.49 <0.010 1.94 <0.07 2428 10075 22/11/2018 7.3 6.47 78.7 <2 95.80% 11.54 5.06 <0.010 2.37 <0.07 2435 10074 22/11/2018 8.8 6.38 86.7 <2 95.70% 11.12 4.49 0.029 0.89 <0.07
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2711 473 17/01/2019 5.5 6.73 200 <2 92.00% 11.67 43 0.045 7.28 <0.07 2714 471 17/01/2019 5.6 6.7 189 <2 91.00% 11.44 36.6 0.271 7.39 0.21 2722 472 17/01/2019 5.4 6.88 120 <2 90.00% 11.44 16.6 0.02 3.64 <0.07 2711 2521 27/03/2019 8.4 6.75 179 <2 99.00% 11.56 38.9 0.069 6.6 <0.07 2714 2522 27/03/2019 8.7 6.83 167 <2 102.00% 11.83 30 0.02 5.58 <0.07 2725 2523 27/03/2019 8 7.07 90.8 <2 100.00% 11.81 10.2 0.017 2.76 <0.07 2011 2524 27/03/2019 9.4 6.87 139 <2 98.00% 11.26 28.1 0.048 4.33 <0.07 2026 2525 27/03/2019 9.7 6.84 148 3 101.00% 11.51 28.9 0.134 5.2 <0.07 3231 2578 28/03/2019 10.2 7.02 253 <2 104.00% 11.66 43.5 <0.010 14.9 <0.07 3233 2577 28/03/2019 10.4 6.79 187 2 102.00% 11.43 33.4 <0.010 5.19 <0.07 3235 2576 28/03/2019 10.7 6.54 162 <2 102.00% 11.33 24.5 <0.010 7.49 <0.07 2421 2575 28/03/2019 8.2 6.35 86.6 <2 98.00% 11.55 6.1 <0.010 1.58 <0.07 2428 2574 28/03/2019 7.9 6.35 81.8 <2 96.80% 11.5 7.59 <0.010 2.41 <0.07 2435 2573 28/03/2019 7.2 6.36 82.3 <2 93.30% 11.28 5.98 <0.010 1.13 <0.07 2101 2604 29/03/2019 9 7.05 187 <2 99.40% 11.49 31.8 0.065 7.77 <0.07 2023 2603 29/03/2019 7.7 6.49 68.8 <2 97.00% 11.58 3.11 0.037 0.85 <0.07 2103 2842 04/04/2019 8.1 7.11 155 <2 101.00% 11.89 28.7 0.016 4.33 <0.07 2001 2844 04/04/2019 8.8 6.97 285 2 100.00% 11.64 64.2 0.18 13.3 <0.07 2002 2845 04/04/2019 8.5 7.05 253 3 101.00% 11.8 47.4 0.22 14.8 0.1 2003 2843 04/04/2019 7.9 7.1 156 <2 103.00% 12.18 28.5 0.024 6.88 <0.07 2029 2841 04/04/2019 7.3 7.16 127 <2 98.00% 11.82 18.8 0.017 6.37 <0.07 2030 2840 04/04/2019 6.7 7.14 125 <2 96.00% 11.79 19.6 0.016 6.29 <0.07 3004 3091 10/04/2019 10.1 7.7 193 <2 100.00% 11.26 24.9 <0.010 5.96 <0.07 3021 3088 10/04/2019 7.3 7.43 439 <2 87.00% 10.5 140 0.03 18.3 <0.07 3031 3090 10/04/2019 10.7 7.7 662 4 113.00% 12.58 271 <0.010 15 <0.07 3111 3089 10/04/2019 10.2 7.55 637 2 96.00% 10.76 225 0.028 15.6 <0.07 3101 3192 11/04/2019 9.2 7.09 263 <2 101.00% 11.6 68.7 <0.010 9.3 <0.07 3201 3193 11/04/2019 9.1 7.17 223 <2 102.00% 11.7 53.2 <0.010 8.58 <0.07 2007 3191 11/04/2019 8 7.03 278 <2 93.80% 11.12 55.7 0.463 15.6 <0.07 2311 5059 14/06/2019 10.8 7.62 75.1 <2 95.00% 10.56 8.29 0.031 1.83 <0.07
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2315 5060 14/06/2019 10.2 7.69 59.6 <2 95.00% 10.73 4.93 0.024 1.12 <0.07 2201 5054 14/06/2019 10.7 7.58 189 <2 97.00% 10.78 41.3 0.016 7.66 <0.07 2211 5055 14/06/2019 11.4 7.81 77.3 <2 97.00% 10.54 10.9 0.012 1.51 <0.07 2213 5057 14/06/2019 10.4 7.64 79.4 <2 96.00% 10.74 11 <0.010 1.5 <0.07 2216 5056 14/06/2019 11.3 7.77 69.1 <2 96.00% 10.55 7.73 0.017 1.32 <0.07 2218 5058 14/06/2019 11.3 7.72 61.1 <2 96.00% 10.52 4.37 0.012 1.21 <0.07 2715 5231 19/06/2019 11.8 7.59 208 <2 89.00% 9.68 55 0.035 6.81 <0.07 2718 5230 19/06/2019 12.7 7.85 167 <2 93.00% 9.83 30.5 0.016 2.07 <0.07 2720 5232 19/06/2019 12.4 7.63 187 <2 93.00% 9.97 34.4 0.035 1.38 <0.07 2721 5235 19/06/2019 11.7 7.83 112 <2 94.00% 10.22 6.94 0.014 0.87 <0.07 2726 5229 19/06/2019 12.2 7.97 150 <2 90.00% 9.63 29.1 0.159 4.39 0.11 2728 19/06/2019 12.4 7.83 212 <2 92.00% 9.8 55.1 0.029 6.04 <0.07 2801 5233 19/06/2019 12.7 7.76 137 <2 94.00% 10 19.3 0.01 2.03 <0.07 2802 5234 19/06/2019 14.4 7.83 116 <2 95.00% 9.75 13 <0.010 0.74 <0.07 2006 5237 19/06/2019 14.6 7.29 193 <2 95.00% 9.66 47.5 0.072 8.37 0.38 2028 5236 19/06/2019 11.4 7.57 140 <2 92.00% 10.06 3.47 0.012 0.2 <0.07 2603 5307 20/06/2019 11.7 7.76 104 <2 90.00% 9.74 9.63 0.023 2.76 <0.07 2634 5306 20/06/2019 12.3 7.66 131 <2 89.00% 9.54 29.3 <0.010 2.24 <0.07 2651 5305 20/06/2019 12.1 7.57 178 <2 89.00% 9.58 42.8 0.018 3.88 <0.07 2422 5309 20/06/2019 11 7.75 79.4 <2 90.00% 9.98 4.26 <0.010 0.87 <0.07 2423 5308 20/06/2019 11.9 7.85 64 <2 91.00% 9.82 5.6 <0.010 0.46 <0.07 2424 5311 20/06/2019 13.6 7.1 430 <2 79.00% 8.26 154 0.138 6.6 <0.07 2427 5310 20/06/2019 13.3 7.66 75.4 <2 96.00% 9.99 7 0.019 1.44 <0.07 2429 5312 20/06/2019 12.9 7.57 105 <2 93.00% 9.86 15 0.013 5.19 <0.07 2430 5313 20/06/2019 13.9 7.74 69 <2 97.00% 10.02 4.93 <0.010 0.95 <0.07 2431 5314 20/06/2019 12.1 7.69 78.2 <2 94.00% 10.06 6.05 <0.010 1.18 <0.07 2432 5315 20/06/2019 13.8 7.72 67.2 <2 96.00% 9.98 4.7 0.014 0.87 <0.07 2433 5317 20/06/2019 12.8 7.68 60.7 <2 93.00% 9.89 4.14 <0.010 1.13 <0.07 2434 5316 20/06/2019 13.3 7.61 81.2 <2 96.00% 10.03 6.05 <0.010 1 <0.07 2004 5810 04/07/2019 15.8 6.59 228 <2 97.30% 9.65 51.3 0.023 11 0.3
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2013 5809 04/07/2019 14.5 6.79 153 <2 94.00% 9.58 28.7 0.012 7.01 <0.07 2015 5814 04/07/2019 13.5 6.65 169 <2 94.20% 9.82 39.2 0.018 4.5 <0.07 2017 5812 04/07/2019 13.6 6.77 110 <2 92.00% 9.83 19.2 0.013 3.53 <0.07 2019 5813 04/07/2019 13.7 6.76 124 <2 95.70% 9.93 17.9 <0.010 8.74 <0.07 2022 5811 04/07/2019 12.3 6.97 69.5 <2 92.00% 9.85 5.26 0.073 1.13 <0.07 2436 5808 04/07/2019 15.7 7.36 69.4 <2 95.70% 9.5 11.2 <0.010 0.13 <0.07 3002 5967 10/07/2019 16.6 7.82 268 <2 101.00% 9.83 62 0.031 6.75 <0.07 3004 5971 10/07/2019 14.3 7.98 185 <2 95.20% 9.74 26.2 0.013 3.6 <0.07 3021 5964 10/07/2019 14.8 7.03 499 2 90.10% 9.12 181 0.078 12 0.14 3031 5966 10/07/2019 15.4 7.49 678 4 89.80% 8.97 274 0.104 5.76 0.1 3240 5969 10/07/2019 15.5 7.59 465 4 91.60% 9.13 139 0.023 13.1 <0.07 3241 5970 10/07/2019 15.6 7.76 356 <2 95.20% 9.47 81.8 0.027 1.03 0.14 3242 5968 10/07/2019 13.5 7.56 564 <2 92.80% 9.67 180 0.05 13.6 <0.07 3111 5965 10/07/2019 13.2 7.41 569 <2 88.20% 9.25 218 0.074 9.65 0.18 3243 5972 10/07/2019 15 7.66 350 <2 95.70% 9.65 106 0.014 14.3 <0.07 2101 6043 11/07/2019 14.2 7.24 249 <2 94.40% 9.69 45.6 0.087 7.9 0.07 2102 6044 11/07/2019 13.8 7.34 226 <2 97.30% 10.07 49.4 0.013 9.58 0.06 2103 6045 11/07/2019 14 7.4 193 <2 97.10% 10 42.1 0.017 6.55 0.06 3245 6046 11/07/2019 17.4 7.61 322 <2 105.00% 10.05 70.9 0.051 15.2 0.07 2711 6231 17/07/2019 14.7 7.27 270 <2 94.50% 9.59 68.4 0.066 7.86 0.08 2714 6232 17/07/2019 14.4 7.37 233 2 92.50% 9.44 51.5 0.444 9.94 0.47 2722 6233 17/07/2019 14.5 7.45 127 <2 92.90% 9.47 24.9 <0.010 2.35 <0.07 2725 6234 17/07/2019 14.5 7.61 87.3 <2 95.30% 9.71 12.1 0.016 0.98 <0.07 3101 6852 07/08/2019 15.2 7 200 <2 91.00% 9.11 50.7 <0.010 3.25 <0.05 2001 6856 07/08/2019 14.9 6.94 287 3 91.00% 9.19 69 0.063 10.2 <0.05 2003 6855 07/08/2019 16.1 7.03 146 <2 94.00% 9.22 30.7 0.017 3.68 0.05 2029 6854 07/08/2019 15.3 7.18 105 <2 92.00% 9.24 17.4 0.01 2.82 <0.05 2030 6853 07/08/2019 15.1 7.18 105 <2 91.00% 9.19 18.9 0.012 2.81 <0.05 2511 7049 14/08/2019 13.7 6.98 510 <2 83.00% 8.62 146 0.039 14 <0.05 2512 7050 14/08/2019 14 7.01 447 2 75.00% 7.71 125 0.042 10.7 <0.05
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2513 7051 14/08/2019 14 7.03 401 2 78.00% 8.07 110 0.126 3.85 <0.05 2104 7054 14/08/2019 13.4 7.31 107 <2 92.00% 9.62 26.2 0.026 1.99 <0.05 3244 7052 14/08/2019 13.2 7.49 60.2 <2 91.00% 9.52 8.96 0.017 0.48 <0.05 3246 7053 14/08/2019 14.4 7.13 191 <2 93.00% 9.52 56.3 0.021 5.11 0.05 2031 7056 14/08/2019 14.3 7.05 232 3 94.00% 9.58 54 0.422 9.06 0.15 2027 7055 14/08/2019 13.6 7.34 95.9 <2 90.00% 9.34 13.2 0.038 1.52 <0.05 3231 7378 23/08/2019 14.5 7.6 232 <2 102.00% 10.41 47.6 0.016 9.8 <0.05 3233 7379 23/08/2019 15.1 7.58 177 3 103.00% 10.32 38 0.048 4.81 <0.05 3235 7380 23/08/2019 13.3 6.75 167 <2 98.80% 10.33 25.9 <0.010 6.58 <0.05 2002 7381 23/08/2019 14 7.44 238 <2 103.00% 10.57 47.8 0.112 11.9 0.06 2005 7382 23/08/2019 14.2 7.45 212 2 103.00% 10.59 42.7 0.176 10.5 0.07 3103 7552 29/08/2019 13.5 7.59 218 <2 98.30% 10.24 47.3 0.011 7.8 <0.05 3105 7553 29/08/2019 12.8 7.54 178 <2 98.20% 10.39 26.5 <0.010 6.21 <0.05 3107 7551 29/08/2019 14.5 7.13 163 <2 101.00% 10.25 24.5 0.018 3.76 <0.05 3108 7554 29/08/2019 14.8 6.21 139 <2 101.00% 10.2 6.38 <0.010 1.83 <0.05 3203 7554 29/08/2019 13 7.61 235 <2 98.90% 10.41 50 0.147 7.43 <0.05 3205 7556 29/08/2019 14.1 7.44 203 <2 100.00% 10.27 45.8 0.022 1.38 <0.05 2011 7584 30/08/2019 13.9 6.75 142 <2 98.00% 10.08 28.1 0.039 2.89 <0.05 2026 7585 30/08/2019 14 6.91 150 <2 98.00% 10.07 30.1 0.145 3.99 0.07 2023 7586 30/08/2019 12.8 6.58 62.2 <2 102.00% 10.76 4.82 0.01 0.43 <0.05 2421 7587 30/08/2019 15.3 6.69 79.6 <2 108.00% 10.82 6.94 0.012 0.94 <0.05 2428 7582 30/08/2019 14.4 6.74 76.4 <2 102.00% 10.46 9.74 0.019 1.33 <0.05 2435 7583 30/08/2019 14.1 6.37 76.6 <2 101.00% 10.43 6.05 0.067 0.49 <0.05 3201 7685 04/09/2019 13.4 7.63 218 <2 93.50% 9.76 55.8 0.014 5.93 <0.05 2024 7686 04/09/2019 13.6 7.2 105 <2 96.10% 9.99 16.2 <0.010 5.23 <0.05 2438 7684 04/09/2019 11.7 5.99 54.1 <2 89.10% 9.67 3.58 0.012 <0.05 <0.05 3231 9053 16/10/2019 11.5 7.45 239 <2 97.80% 10.66 44.9 0.056 12.9 <0.05 3233 9052 16/10/2019 11.2 7.39 174 <2 95.00% 10.43 38.1 0.079 5.04 <0.05 3235 9051 16/10/2019 11.4 6.82 160 <2 91.10% 9.95 26.7 0.059 6.86 <0.05 2002 9894 14/11/2019 8.5 7.16 221 <2 83.20% 9.74 44.7 0.053 12.5 <0.05
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2011 9892 14/11/2019 7.1 6.76 134 <2 77.80% 9.42 26 0.046 4.66 <0.05 2026 9893 14/11/2019 7.4 6.85 142 <2 80.30% 9.66 26.9 0.067 5.86 <0.05 2421 10446 04/12/2019 7.7 6.56 79.9 <2 92.80% 11.1 8.19 0.012 1.98 <0.05 2428 10447 04/12/2019 7.5 6.57 70.7 <2 91.20% 10.9 7.97 <0.010 2.07 <0.05 2435 10448 04/12/2019 7.1 6.27 74.3 <2 91.90% 11.1 7.41 0.046 0.72 <0.05 3004 10479 05/12/2019 7.9 7.49 182 <2 90.60% 10.76 22.1 <0.010 6.51 <0.05 3021 10476 05/12/2019 8.4 7.66 447 2 88.90% 10.43 141 0.085 17.7 0.1 2711 10477 05/12/2019 7.9 7.52 176 <2 88.90% 10.56 38.5 0.046 6.72 <0.05 2714 10478 05/12/2019 7.9 7.43 165 <2 89.10% 10.58 32 0.057 6.12 0.06 2725 10475 05/12/2019 7.3 6.87 127 <2 85.90% 10.35 9.41 <0.010 3.3 <0.05 3031 10677 12/12/2019 6.9 7.71 636 3 82.70% 10.07 266 0.316 13.4 0.19 3111 10676 12/12/2019 8.6 7.8 553 <2 87.60% 10.2 219 0.099 10.97 0.18 2101 10880 18/12/2019 6.4 7.52 174 <2 96.00% 11.85 33.3 0.012 6.95 <0.05 2103 10881 18/12/2019 6.5 7.28 158 7 97.00% 11.87 29 0.016 4.86 <0.05 2001 10879 18/12/2019 8 7.17 257 <2 96.00% 11.43 57.2 0.153 11.3 <0.05 2003 10878 18/12/2019 6.4 7.22 141 <2 97.00% 11.9 25.1 0.024 7.38 <0.05 2029 10877 18/12/2019 6.4 7.23 117 <2 97.00% 11.91 18.5 0.018 6.77 <0.05 2030 10876 18/12/2019 6.2 7.21 116 <2 95.00% 11.76 18.2 0.017 6.77 <0.05 3101 10923 19/12/2019 7.9 7.68 248 <2 90.00% 10.74 63.5 0.023 8.34 <0.05 3201 10924 19/12/2019 7.7 7.69 214 <2 90.00% 10.7 48.2 0.023 8.85 <0.05 2007 10925 19/12/2019 8.8 7.6 244 <2 92.00% 10.68 50.2 0.155 11.1 0.05 2023 10926 19/12/2019 7.5 6.45 60 <2 93.00% 11.13 6.4 <0.010 1.19 <0.05
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