Basic Principles of Wastewater Treatment
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Water Quality: a Field-Based Quality Testing Program for Middle Schools and High Schools
DOCUMENT RESUME ED 433 223 SE 062 606 TITLE Water Quality: A Field-Based Quality Testing Program for Middle Schools and High Schools. INSTITUTION Massachusetts State Water Resources Authority, Boston. PUB DATE 1999-00-00 NOTE 75p. PUB TYPE Guides Classroom - Teacher (052) EDRS PRICE MF01/PC03 Plus Postage. DESCRIPTORS Bacteria; Environmental Education; *Field Studies; High Schools; Middle Schools; Physical Environment; Pollution; *Science Activities; *Science and Society; Science Instruction; Scientific Concepts; Temperature; *Water Pollution; *Water Quality; Water Resources IDENTIFIERS pH ABSTRACT This manual contains background information, lesson ideas, procedures, data collection and reporting forms, suggestions for interpreting results, and extension activities to complement a water quality field testing program. Information on testing water temperature, water pH, dissolved oxygen content, biochemical oxygen demand, nitrates, total dissolved solids and salinity, turbidity, and total coliform bacteria is also included.(WRM) ******************************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ******************************************************************************** SrE N N Water A Field-Based Water Quality Testing Program for Middle Schools and High Schools U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement PERMISSION TO REPRODUCE AND EDUCATIONAL RESOURCES INFORMATION DISSEMINATE THIS MATERIAL -
Oxygen Concentration of Blood: PO
Oxygen Concentration of Blood: PO2, Co-Oximetry, and More Gary L. Horowitz, MD Beth Israel Deaconess Medical Center Boston, MA Objectives • Define “O2 Content”, listing its 3 major variables • Define the limitations of pulse oximetry • Explain why a normal arterial PO2 at sea level on room air is ~100 mmHg (13.3 kPa) • Describe the major features of methemogobin and carboxyhemglobin O2 Concentration of Blood • not simply PaO2 – Arterial O2 Partial Pressure ~100 mm Hg (~13.3 kPa) • not simply Hct (~40%) – or, more precisely, Hgb (14 g/dL, 140 g/L) • not simply “O2 saturation” – i.e., ~89% O2 Concentration of Blood • rather, a combination of all three parameters • a value labs do not report • a value few medical people even know! O2 Content mm Hg g/dL = 0.003 * PaO2 + 1.4 * [Hgb] * [%O2Sat] = 0.0225 * PaO2 + 1.4 * [Hgb] * [%O2Sat] kPa g/dL • normal value: about 20 mL/dL Why Is the “Normal” PaO2 90-100 mmHg? • PAO2 = (FiO2 x [Patm - PH2O]) - (PaCO2 / R) – PAO2 is alveolar O2 pressure – FiO2 is fraction of inspired oxygen (room air ~0.20) – Patm is atmospheric pressure (~760 mmHg at sea level) o – PH2O is vapor pressure of water (47 mmHg at 37 C) – PaCO2 is partial pressure of CO2 – R is the respiratory quotient (typically ~0.8) – 0.21 x (760-47) - (40/0.8) – ~100 mm Hg • Alveolar–arterial (A-a) O2 gradient is normally ~ 10, so PaO2 (arterial PO2) should be ~90 mmHg NB: To convert mm Hg to kPa, multiply by 0.133 Insights from PAO2 Equation (1) • PaO2 ~ PAO2 = (0.21x[Patm-47]) - (PaCO2 / 0.8) – At lower Patm, the PaO2 will be lower • that’s -
Residence Time, Chemical and Isotopic Analysis of Nitrate in The
Residence Time, Chemical and Isotopic Analysis of Nitrate in the Groundwater and Surface Water of a Small Agricultural Watershed in the Coastal Plain, Bucks Branch, Sussex County, Delaware John Clune ([email protected]) Judy Denver ([email protected]) Introduction Introduction Problem/Need Resource managers need a practical perspective on travel time of groundwater to streams, detailed understanding of the sources of nitrogen for targeting management efforts and to better quantify water-quality improvements Introduction High TN Bucks Branch has some of the highest measured concentrations of total nitrogen in any stream in the State (Delaware Department of Natural Resources and Environmental Control, 2010) and most of the nitrogen is in the form of nitrate. Introduction Sources The vast majority of nitrogen inputs in this part of Sussex County, Delaware are from manure and fertilizer Purpose/Objectives The purpose of this study was to present (1) estimated residence times of groundwater and (2) and provide a chemical and isotopic analysis of nitrate in the groundwater and surface water of the Bucks Branch watershed Purpose/Objectives The purpose of this study was to present Concentrations of sulfur (1) estimated residence times hexafluoride (SF6), dissolved gases and silica of groundwater and (2) and provide a in groundwater and chemical and isotopic analysis of nitrate surface water to in the groundwater and surface water of determine the apparent the Bucks Branch watershed age of groundwater in the aquifer and to estimate the average residence -
Estimation of Groundwater Mean Residence Time in Unconfined Karst Aquifers Using Recession Curves
A. Kavousi and E. Raeisi – Estimation of groundwater mean residence time in unconfined karst aquifers using recession curves. Journal of Cave and Karst Studies, v. 77, no. 2, p. 108–119. DOI: 10.4311/2014ES0106 ESTIMATION OF GROUNDWATER MEAN RESIDENCE TIME IN UNCONFINED KARST AQUIFERS USING RECESSION CURVES ALIREZA KAVOUSI AND EZZAT RAEISI Dept. of Earth Sciences, College of Sciences, Shiraz University, 71454 Shiraz, Iran, [email protected], [email protected] Abstract: A new parsimonious method is proposed to estimate the mean residence time of groundwater emerging at any specific time during recession periods from karst springs. The method is applicable to unconfined karstic aquifers with no-flow boundaries. The only required data are numerous consecutive spring hydrographs involving a wide range of discharge from high to low flow and the relevant precipitation hyetographs. First, a master recession curve is constructed using the matching-strip method. Then, discharge components corresponding to the individual hydrographs at any desired time are estimated by extrapolation of recession curves based on the master curve. Residence times are also taken from the time elapsed since the events’ centroids. Finally, the mean residence time is calculated by a discharge-weighted average. The proposed method was evaluated for the Sheshpeer Spring in Iran. There are 259 sinkholes in the catchment area of the Sheshpeer unconfined aquifer, and all the boundaries are physically no-flow. The mean residence time calculated by the proposed method was about one year longer than that of uranine dye tracer. The tracer mean time is representative of flowing water between the injection and emergence points, but the mean time by the proposed method is representative of all active circulating water throughout the entire aquifer. -
Oxygenation and Oxygen Therapy
Rules on Oxygen Therapy: Physiology: 1. PO2, SaO2, CaO2 are all related but different. 2. PaO2 is a sensitive and non-specific indicator of the lungs’ ability to exchange gases with the atmosphere. 3. FIO2 is the same at all altitudes 4. Normal PaO2 decreases with age 5. The body does not store oxygen Therapy & Diagnosis: 1. Supplemental O2 is an FIO2 > 21% and is a drug. 2. A reduced PaO2 is a non-specific finding. 3. A normal PaO2 and alveolar-arterial PO2 difference (A-a gradient) do NOT rule out pulmonary embolism. 4. High FIO2 doesn’t affect COPD hypoxic drive 5. A given liter flow rate of nasal O2 does not equal any specific FIO2. 6. Face masks cannot deliver 100% oxygen unless there is a tight seal. 7. No need to humidify if flow of 4 LPM or less Indications for Oxygen Therapy: 1. Hypoxemia 2. Increased work of breathing 3. Increased myocardial work 4. Pulmonary hypertension Delivery Devices: 1. Nasal Cannula a. 1 – 6 LPM b. FIO2 0.24 – 0.44 (approx 4% per liter flow) c. FIO2 decreases as Ve increases 2. Simple Mask a. 5 – 8 LPM b. FIO2 0.35 – 0.55 (approx 4% per liter flow) c. Minimum flow 5 LPM to flush CO2 from mask 3. Venturi Mask a. Variable LPM b. FIO2 0.24 – 0.50 c. Flow and corresponding FIO2 varies by manufacturer 4. Partial Rebreather a. 6 – 10 LPM b. FIO2 0.50 – 0.70 c. Flow must be sufficient to keep reservoir bag from deflating upon inspiration 5. -
Stocks, Flows, and Residence Times Box Models
Box Models: Stocks, Flows, and Residence Times IPOL 8512 Reservoirs • Natural systems can be characterized by the transport or transformation of matter (e.g. water, gases, nutrients, toxics), energy, and organisms in and out of a reservoir. • Reservoirs can be physical (e.g. a human body, the atmosphere, ocean mixed layer), chemical (different chemical species), or biological (e.g. populations, live biomass, dead organic matter) • Transport/transformation can involve bulk movement of matter, diffusion, convection, conduction, radiation, chemical or nuclear reactions, phase changes, births and deaths, etc. Box Models • We make a simple model of a system by representing the reservoirs with a “box” and the transport/transformation with arrows. • We usually assume the box is well-mixed, and we usually are not concerned with internal details. Stock, S Inflow, Fin Outflow, Fout • Stock = the amount of stuff (matter, energy, electric charge, chemical species, organisms, pollutants, etc.) in the reservoir • Flows = the amount of stuff flowing into and out of the reservoir as a function of time Why Use Box Models? To understand or predict: • Concentrations of pollutants in various environmental reservoirs as a function of time: e.g. water pollution, outdoor/ indoor air pollution • Concentrations of toxic substance in organs after inhalation or ingestion; setting standards for toxic exposure or intake • Population dynamics, predator-prey and food- chain models, fisheries, wildlife management • Biogeochemical cycles and climate dynamics (nutrients, energy, air, trace gases, water) How Box Models Work Basic rule of box models: change in stock over time = inflow – outflow S/t = Fin –Fout Situation 1: Equilibrium Fin = Fout S/t = 0 Situation 2: Non-equilibrium Fin > Fout S/t > 0 F < F S/ t < 0 in out 5 Equilibrium: The Balance • In many problems in environmental science, it is reasonable to start with the assumption that a particular stock is in equilibrium, meaning that the stock does not change over time. -
Oxygen Saturation in High-Altitude Pulmonary Edema
Oxygen Saturation In High-Altitude Pulmonary J Am Board Fam Pract: first published as 10.3122/jabfm.5.4.429 on 1 July 1992. Downloaded from Edema James]. Bachman, M.D., Todd Beatty, M.D., and Daniel E. Levene High altitude, defined as elevations greater than Methods or equal to 8000 feet (2438 m) above sea level, is The 126 subjects for this study were all patients responsible for a variety of medical problems both who came to the Summit Medical Center Emer chronic and acute. The spectrum of altitude ill gency Department or to the Frisco Medical ness ranges from the common, mild symptoms of Center. Both units serve Summit County, Colo acute mountain sickness, such as insomnia, head rado. The base elevation of Summit County ache, and nausea, to severe and potentially fatal ranges from roughly 9000 to 11,000 feet (2743 to conditions, such as high-altitude pulmonary 3354 m). Between 1 November 1990 and 26Janu edema (HAPE) and high-altitude cerebral edema ary 1991, a record was maintained of the age, sex, (RACE).l room air pulse oximeter measure of oxygen satu HAPE is a noncardiogenic form of pulmonary ration (Sa 02)' chest radiograph findings, and final edema that predominantly affects young, physi diagnoses of all patients who underwent a chest cally active, previously healthy individuals who radiograph examination. arrived at high altitude between 1 and 4 days There were 152 patients who underwent chest before developing symptoms. Symptoms of early, radiography during the study period. Twenty-six milder cases include dry nonproductive cough, patients were excluded from the study: 18 had no decreased exercise tolerance, and dyspnea on ex oxygen saturation measurement taken or re ertion. -
Wastewater Residence Time in Sewers
October 1969 Report No. EVE 19-69-7 THE EFFECT AND REGULATION OF WASTEWATER RESIDENCE TIME IN SEWERS David R. O'Toole and Donald Dean Adrian, Project Investigator Partially Funded by Office of Water Resources Research Grant WR-BO 11-MASS and Federal Water Pollution Control Administration Training Grant 5T1-WP-77-04 ENVIRONMENTAL ENGINEERING DEPARTMENT OF CIVIL ENGINEERING UNIVERSITY OF MASSACHUSETTS AMHERST, MASSACHUSETTS TKE EFFECT AND REGULATION OF WASTEWATER RESIDENCE TIME IN SEWERS by ! David R. O'Toole and Donald Dean Adrian, Project Investigator October 1969 THE AUTHORS w David Richard O'Toole received his B.S. degree in 0 Civil Engineering from the University of Massachusetts in June 1968, After a summer working for a consulting engineering firm he enroiled as a graduate student in the Environmental Engineering Program, Department of Civil Engineering, University of Massachusetts. Upon receipt of his Master's degree in September 1969, he was "commissioned by the U. S. Public Health Service to work as an Assistant Sanitary Engineer with the Indian Health Service in Portland, Oregon. Donald Dean Adrian received his B.A. degree in Liberal Arts and his B.S. degree in Civil Engineering from the University of Notre Dame in 1957 and 1958, respectively. He enrolled in the graduate program in Sanitary Engineering at the University of California at Berkeley and was awarded the M.S. degree in 1959. The Ph.D. was obtained from Stanford University in Civil Engineering in 1964. Experience has been obtained with the California Health Department, Vanderbilt University and the University of Massachusetts. He is presently an Associate Professor of Civil Engineering. -
14C Mean Residence Time and Its Relationship with Thermal Stability
Geoderma 308 (2017) 1–8 Contents lists available at ScienceDirect Geoderma journal homepage: www.elsevier.com/locate/geoderma 14C mean residence time and its relationship with thermal stability and MARK molecular composition of soil organic matter: A case study of deciduous and coniferous forest types ⁎ Tsutomu Ohnoa, , Katherine A. Heckmanb, Alain F. Plantec, Ivan J. Fernandezd, Thomas B. Parre a School of Food and Agriculture, University of Maine, Orono, ME 04469, USA b USDA Forest Service, Northern Research Station, Houghton, MI 49931, USA c Department of Earth and Environmental Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA d School of Forest Resources, University of Maine, Orono, ME 04469, USA e Department of Biology, University of Oklahoma, Norman, OK 73019, USA ARTICLE INFO ABSTRACT Keywords: Soil organic matter (SOM) plays a critical role in the global terrestrial carbon cycle, and a better understanding Soil organic carbon of soil processes involved in SOM stability is essential to determine how projected climate-driven changes in soil Carbon sequestration processes will influence carbon dynamics. We used 14C signature, analytical thermal analysis, and ultrahigh Soil minerals resolution mass spectrometry to determine the influence of deciduous and coniferous forest vegetation type and Radiocarbon dating soil depth on the stability of soil C. The 14C mean residence time (MRT) of the illuvial B horizon soils averaged Thermal analysis 1350 years for the deciduous soils and 795 years for the coniferous soils. The difference of MRT between mineral Ultrahigh resolution mass spectrometry soils by forest type may be due to the saturation of extractable Fe and Al minerals binding sites by SOM in the coniferous soils, allowing greater transport of modern SOM from the O horizon down the soil profile, as com- pared with the non-saturated minerals in the deciduous soil profile. -
Guidelines and Standard Procedures for Continuous Water-Quality Monitors: Station Operation, Record Computation, and Data Reporting
Guidelines and Standard Procedures for Continuous Water-Quality Monitors: Station Operation, Record Computation, and Data Reporting Techniques and Methods 1–D3 U.S. Department of the Interior U.S. Geological Survey Front Cover. Upper left—South Fork Peachtree Creek at Johnson Road near Atlanta, Georgia, site 02336240 (photograph by Craig Oberst, USGS) Center—Lake Mead near Sentinel Island, Nevada, site 360314114450500 (photograph by Ryan Rowland, USGS) Lower right—Pungo River at channel light 18, North Carolina, site 0208455560 (photograph by Sean D. Egen, USGS) Back Cover. Lake Mead near Sentinel Island, Nevada, site 360314114450500 (photograph by Ryan Rowland, USGS) Guidelines and Standard Procedures for Continuous Water-Quality Monitors: Station Operation, Record Computation, and Data Reporting By Richard J. Wagner, Robert W. Boulger, Jr., Carolyn J. Oblinger, and Brett A. Smith Techniques and Methods 1–D3 U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior P. Lynn Scarlett, Acting Secretary U.S. Geological Survey P. Patrick Leahy, Acting Director U.S. Geological Survey, Reston, Virginia: 2006 For product and ordering information: World Wide Web: http://www.usgs.gov/pubprod Telephone: 1-888-ASK-USGS For more information on the USGS—the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment: World Wide Web: http://www.usgs.gov Telephone: 1-888-ASK-USGS Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report. -
The Activated Sludge Process Part II Revised October 2014
Wastewater Treatment Plant Operator Certification Training Module 16: The Activated Sludge Process Part II Revised October 2014 This course includes content developed by the Pennsylvania Department of Environmental Protection (Pa. DEP) in cooperation with the following contractors, subcontractors, or grantees: The Pennsylvania State Association of Township Supervisors (PSATS) Gannett Fleming, Inc. Dering Consulting Group Penn State Harrisburg Environmental Training Center MODULE 16: THE ACTIVATED SLUDGE PROCESS – PART II Topical Outline Unit 1 – Process Control Strategies I. Key Monitoring Locations A. Plant Influent B. Primary Clarifier Effluent C. Aeration Tank D. Secondary Clarifier E. Internal Plant Recycles F. Plant Effluent II. Key Process Control Parameters A. Mean Cell Residence Time (MCRT) B. Food/Microorganism Ratio (F/M Ratio) C. Sludge Volume Index (SVI) D. Specific Oxygen Uptake Rate (SOUR) E. Sludge Wasting III. Daily Process Control Tasks A. Record Keeping B. Review Log Book C. Review Lab Data Unit 2 – Typical Operational Problems I. Process Operational Problems A. Plant Changes B. Sludge Bulking C. Septic Sludge D. Rising Sludge E. Foaming/Frothing F. Toxic Substances II. Process Troubleshooting Guide Bureau of Safe Drinking Water, Department of Environmental Protection i Wastewater Treatment Plant Operator Training MODULE 16: THE ACTIVATED SLUDGE PROCESS – PART II III. Equipment Operational Problems and Maintenance A. Surface Aerators B. Air Filters C. Blowers D. Air Distribution System E. Air Header/Diffusers F. Motors G. Gear Reducers Unit 3 – Microbiology of the Activated Sludge Process I. Why is Microbiology Important in Activated Sludge? A. Activated Sludge is a Biological Process B. Tools for Process Control II. Microorganisms in Activated Sludge A. -
Cropland Has Higher Soil Carbon Residence Time Than Grassland In
Soil & Tillage Research 174 (2017) 130–138 Contents lists available at ScienceDirect Soil & Tillage Research journal homepage: www.elsevier.com/locate/still Cropland has higher soil carbon residence time than grassland in the MARK subsurface layer on the Loess Plateau, China ⁎ Ding Guoa, Jing Wanga, Hua Fua, , Haiyan Wena, Yiqi Luob a State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China b Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA ARTICLE INFO ABSTRACT Keywords: Carbon (C) residence time is one of the key factors that determine the capacity of C storage and the potential C Carbon mineralization loss in soil, but it has not been well quantified. Assessing C residence time is crucial for an improved under- Inverse analysis standing of terrestrial C dynamics. To investigate the responses of C residence time to land use, soil samples were Residence time collected from millet cropland (MC) and enclosed grassland (EG) on the Loess Platea, China. The soil samples were incubated at 25 °C for 182 days. A Bayesian inverse analysis was applied to evaluate the residence times of different C fractions based on the information contained in the time-series data from laboratory incubation. Our results showed that soil organic carbon (SOC) mineralization rates and the amount of SOC mineralized sig- nificantly was increased after the conversion of cropland into grassland due to the increase in labile C fraction. At the end of the incubation study, 2.1%–6.8% of the initial SOC was released.