Contamination of surface waters by mining wastes in the Milluni Valley (Cordillera Real, Bolivia): Mineralogical and hydrological influences
Matı´as Miguel Salvarredy-Aranguren a,1, Anne Probst a,b,*, Marc Roulet a,c,2, Marie-Pierre Isaure d,3
a Laboratoire des Me´canismes et Transferts en Ge´ologie (LMTG), UMR 5563, CNRS/IRD/UPS, 14 Avenue Edouard Belin, 31400 Toulouse, France b ECOLAB UMR 5245, CNRS-INPT-Universite´ Paul Sabatier, ENSAT Avenue de l’Agrobiopole, BP 32607 Auzeville-Tolosane, 31326 Castanet-Tolosan, Cedex, France c Institut de Recherche pour le De´veloppement, HYBAM, UMR 154-LMTG, CP 9214 La Paz, Bolivia d Equipe Ge´ochimie de l’Environnement, Laboratoire de Ge´ophysique Interne et Tectonophysique (LGIT), UMR 5559 Universite´ J. Fourier and CNRS, BP 53, 38041 Grenoble Cedex 9, France
Abstract
This study is one of very few dealing with mining waste contamination in high altitude, tropical-latitude areas exploited during the last century. Geochemical, mineralogical and hydrological characterizations of potentially harmful elements (PHEs) in surface waters and sediments were performed in the Milluni Valley (main reservoir of water supply of La Paz, Boli- via, 4000 m a.s.l.), throughout different seasons during 2002–2004 to identify contamination sources and sinks, and contam- ination control parameters. PHE concentrations greatly exceeded the World Health Organization water guidelines for human consumption. The very acidic conditions, which resulted from the oxidation of sulfide minerals in mining waste, favoured the enrichment of dissolved PHEs (Cd > Zn As Cu Ni > Pb > Sn) in surface waters downstream from the mine. Stream and lake sediments, mining waste and bedrock showed the highest PHE content in the mining area. With the exception of Fe, the PHEs were derived from specific minerals (Fe, pyrite; Zn, Cd, sphalerite, As, Fe, arsenopyrite, Cu, Fe, chalcopyrite, Pb, galena, Sn, cassiterite), but the mining was responsible for PHEs availability. Most of the PHEs were extre- mely mobile (As > Fe > Pb > Cd > Zn Cu > Sn) in the mining wastes and the sediments downstream from the mine. pH and oxyhydroxides mainly explained the contrasted availability of Zn (mostly in labile fractions) and As (associated with Fe-oxyhydroxides). Unexpectedly, Pb, Zn, As, and Fe were significantly attenuated by organic matter in acidic lake sediments.
* Corresponding author. Address: ECOLAB UMR 5245, CNRS-INPT-Universite´ Paul Sabatier, ENSAT Avenue de l’Agrobiopole, BP 32607 Auzeville-Tolosane, 31326 Castanet-Tolosan, Cedex, France. Fax: +33 5 62 19 39 01. E-mail address: [email protected] (A. Probst). 1 Present address: Instituto de Geologı´a y Recursos Minerales, Servicio Geolo´gico Minero Argentino, Av. Julio A. Roca 651, 10o piso, Ciudad Auto´noma de Buenos Aires 1322, Argentina. 2 Deceased. 3 Present address: De´partement de Ge´ologie, Universite´ de Pau et des Pays de l’Adour, Avenue de l’Universite´, BP 576, 64012 Pau Cedex, France. Hydrological conditions highly influenced the behaviours of major elements and PHEs. During wet seasons, major elements were diluted by meteoric waters, whereas PHEs increased due to the dissolution of sulfides and unstable tertiary minerals that formed during dry seasons. This is particularly obvious at the beginning of the wet season and contributes to flushes of element transport downstream. The high altitude of the study area compensates for the tropical latitude, render- ing the geochemical behaviour of contaminants similar to that of temperate and cold regions. These results might be rep- resentative of geochemical processes in ore deposits located in the high Andes plateau, and of their influence on PHE concentrations within the upper Amazon basin. Although mining activities in this region stopped 10 years ago, the impact of mining waste on water quality remains a serious environmental problem. Ó 2008 Elsevier Ltd. All rights reserved.
1. Introduction 1997; Ferrari et al., 2001; Hudson-Edwards et al., 2001, 2003; Maurice-Bourgoin et al., 2003; Miller Mining activities are known to be a major source et al., 2004; Smolders et al., 2004; Oporto et al., of contamination (Nriagu, 1996). Movement of con- 2007), and the geochemical behaviour at mine sites taminants in and near mining sites is a complex has hardly been investigated. function of the geology, hydrology, geochemistry, The Milluni Valley is located at more than 4000 m pedology, meteorology, microbiology, and mining above sea level (a.s.l.) in the Bolivian Sn Belt, which is and mineral processing history (Nordstrom and comprised of massive sulfide deposits in the Eastern Alpers, 1999). At most sites, pyrite-rich ores are Andes (Ahlfeld and Schneider-Scherbina, 1964). the main source of acid mine drainage (AMD), The Milluni Mine operated from 1940 until 1990, which may have adverse impacts on biota (Gray, extracting Sn, Zn and Pb. A very large volume of sul- 1997). Consequently, research often focuses on the fide-rich mine waste has been deposited in this area complexity of biogeochemical factors involved in by different mining operations which employed a pyrite oxidation (Rimstidt and Vaughan, 2003; variety of separation techniques (Rı´os, 1985). The Schippers et al., 1996). Pyrite is commonly associ- only environmental studies in this area were biologi- ated with several types of mineral deposits such as cal investigations (Apaza Chavez, 1991; Meneses- coal, massive sulfide and Au ores (Seal and Ham- Quisbert, 1997), which indicated important effects marstrom, 2003). Pyrite-rich ores in industrialised on biota and water quality. Since 1930, water from countries have been extensively investigated (Alpers this catchment has drained a variety of potentially et al., 2003; Audry et al., 2005; Muller et al., 2002; harmful elements (PHEs, Plant et al., 1997) into the Sanchez Espan˜a et al., 2005). However, for the last main reservoir used to supply drinking water to the decades an important part of mining exploitation 1.5 million inhabitants of La Paz (Crespo, 1936). This has been performed in the developing countries, contamination by PHEs (Fe, Mn, Zn, As, Cd, Pb, where scientific investigations are less common. In Cu, Sn) from mine waste is imprinted on this high South America, studies dealing with mining con- altitude and tropical region. tamination have mainly focused on Cu and As con- The aims of this study are (i) to characterize the tamination in Chile (Dittmar, 2004; Dold and intensity and the sources of the mining contamina- Fontbote, 2002; Oyarzun et al., 2004; Romero tion in the Milluni Valley, (ii) to determine the geo- et al., 2003; Smedley and Kinniburgh, 2002) and chemical and mineralogical processes involved in Hg contamination in Brasil (Lodenius and Malm, sediment, stream and lake water contamination 1998; Pfeiffer et al., 1993; Wasserman et al., 2003). and, (iii) to evaluate the influence of hydrological Bolivia has a long mining history dating to the and chemical factors on the contamination Spanish Colonial era (Galeano, 1971). In the last behaviour. century, Bolivia became the largest producer of Sn in the world (Montes de Oca, 1982). Large and med- 2. Materials and methods ium scale mining activities were intensively devel- oped in several regions of the country resulting in 2.1. Site description significant environmental damage (Chatelain and Wittinton, 1992). However, few scientific studies The Milluni Valley, located in the high altitude have evaluated mining related contamination prob- Eastern Andes (locally called Royal Cordillera), is lems in Bolivia (Bervoets et al., 1998; Espi et al., some 20 km north of La Paz. The catchment area of 40 km2 constitutes part of the Altiplano basin fine-grained sandstone with bedded black shales system. Lithological units (Fig. 1) can be summa- (Cambrian to Ordovician); (3) a mineralized Silu- rized from north to south as: (1) a granitic terrain rian sandstone (Catavi Formation); (4) a region partially covered by glaciers (Huayna Potosı´ dominated by Quaternary till. The Catavi Forma- granite, HPG); (2) a slightly metamorphosed tion is mainly composed of sandstone deformed
Fig. 1. Location map. On the upper right: main geological features (based on geological maps, Ferna´ndez and Thompson, 1995; Lehmann, 1978; Perez and Esktrom, 1995); on the upper left: location of the main sampling points; bottom left side: detail of the most impacted sector by mining activities. by faults and folds, which allowed mineralisation particularly the upper basin, are draped with peat (Ahlfeld and Schneider-Scherbina, 1964). Geologi- bogs and high mountain pasture land. cal and mineralisation investigations have been per- Even if not entirely the same, the hydrological formed by Lehmann (1978). The main ore minerals characteristics of the Milluni basin can be consid- in the region are: pyrite (FeS2), marcasite (FeS2), ered as similar to those of the nearby Zongo area: pyrrhotite (Fe1 xS), sphalerite (ZnS), arsenopyrite a dry season (DS) and a wet season (WS), which (FeAsS), cassiterite (SnO2), galena (PbS), wolfram- occur from April to September and October to ite (Fe,Mn [WO4]2), and stannite (Cu2FeSnS4). March, respectively (Fig. 2; data from SENAMHI: Associated minerals include quartz (SiO2), siderite http://www.senamhi.gov.bo/meteorologia/climato- (FeCO3), hematite (Fe2O3), apatite (Ca5(PO4)3F2) logia.php and Great Ice IRD program; Caballero and monazite ([Ce,La,Nd]PO4). This mineralization et al., 2004; Ribstein et al., 1995; Wagnon et al., was exploited underground; however, a large 1999). Most moisture is derived from easterly winds amount of mining waste was spread in the Milluni originating in the Amazonian basin. This rainfall is Chico sector (4.6 km2) in a hazardous way on the greater along the main axis of the mountain (Zon- slopes, after the minerals had been extracted by go), and decreases towards the Altiplano (El Alto). gravimetric and flotation procedures. The maximum Temperatures range between 6.3 and 17.4 °C with production was during the 1970–1980s when the an average of 1.7 °C, but do not vary much mine produced 1.1 105 Tn/a of rough mineral throughout the year due to the high elevation (Rib- (Rı´os, 1985). stein et al., 1995). The bypass channel (sample G9) The geomorphology of the valley has the typical was built to drain the waters of Jankho Kkota Lake U-shape and several small lakes (Fig. 1) characteris- down the valley (Fig. 1), with the objective of avoid- tic of glacier regression (Argollo et al., 1987). These ing the influence of the Milluni waters. A strong cor- geomorphological features control drainage within relation was observed between precipitation in the the Milluni Valley. An important role of the mor- region and discharge through the bypass channel aines and of the sheet flow affecting the drainage (Fig. 2). has been described for the Zongo Valley and its main glacier (Caballero et al., 2002, 2004) located 2.2. Sampling and analytical procedures in the northern part of the Milluni catchment (Fig. 1). A network of diffuse runoff also was Stream sediments, mining wastes and surface observed during the wet season in the Milluni waters were collected in January/February and Sep- Valley. As a consequence, extensive sampling was tember 2003. Additionally, certain localities (J5, performed to enhance hydrochemical knowledge M1, M3, G3, G8, G9 and partially G11) were sam- of the area. Several sectors of the basin, but pled regularly (every 45 days) from January 2003
Fig. 2. Monthly precipitation for the Zongo sector during the period 2002–2003 and 2003–2004 (data from Great Ice IRD program, for more details see: Caballero et al., 2004; Ribstein et al., 1995; Wagnon et al., 1999); Mean precipitation for the period 1961–1990 and for the 2003–2004 hydrological studied year at the El Alto sector (SENAMHI: http://www.senamhi.gov.bo/meteorologia/climatologia.php); mean monthly discharge of the bypass channel (G9 sampling point) registered for the period 2002 (data from Bolivian Power Company, Gousset, A., personal communication). until May 2004. Discharge, pH, Eh, conductivity matter, and tested for selectivity, reproducibility and T (°C) were all measured in situ. The surface and repeatability of the different steps (for details waters were filtered (<0.22 lm) according to estab- see Leleyter and Probst, 1999; Hernandez, 2003; lished field protocol. One aliquot of the sample (as Leleyter et al., 1999; Brunel, 2005). This procedure well as a blank) was kept for anion measurements is based on decreasing pH using successive reagents. and the rest was acidified with HNO3 for cation At the end of the original procedure, a new step and trace element analysis. After collection, samples which consists of HNO3 (5 ml, 8 N) reaction for were stored in coolers for shipment to France and 3 h, was added to characterize the sulfide fraction not exposed to light. Suspended particulate matter (Dold, 2003; Carlsson et al., 2002; Fanfani et al., was insignificant in all the samples, it was not con- 1997; Pagnanelli et al., 2004). The specificity of this sidered in the study. step, essential in mining environments, was tested Major cations and anions were analyzed by on a natural and near pure sample of galena, which atomic absorption spectrometry (AAS 5100 PC, was chosen according to its well known sensitivity Perkin–Elmer) and ion chromatography using AS- to sequential extractants (Sondag, 1981). The sul- 14 columns (DIONEX-DX300), respectively. The fide, organic matter, Mn oxides, and acid soluble analytical results were checked using CRM fractions represented 94.2%, 2.3%, 2.2%, and 1%, BMOOS-01 (National Laboratory for Environmen- respectively, whereas the remaining phases only tal Testing, 2002) and the error was consistently less contained 0.3% of the Pb. It can thus be concluded than 5%. Alkalinity was determined by titration that the procedure is accurate to determine the with HCl (DMS Titrino, Metrohm), the error was amount of element bound to the S fraction in always less than 3%. stream sediments influenced by mining waste PHEs in sediments, mining wastes and waters erosion. were determined by ICP-MS (Elan 6000, Perkin– XRD was performed with Co radiation (Co Ka, Elmer) using the international geostandard SLRS- k = 1.789 A˚ ) at 40 kV for a duration of 1800 s for 4. The detection limit varied for each analysis, but each sample. Scanning electronic microscopy (6360 generally was <0.1 lgl 1 for Sc, Cd, Ni, Cu, As, Low Vacuum – JEOL) coupled to an energy disper- Sn, Mn, Ti and Pb, <2.8 lgl 1 for Zn and Al, sion spectrometer (SDD, Sahra Silicon Drift Detec- and generally <7 lgl 1 for Fe. The analytical error tor – PGT) was used to determine minor was consistently less than 10%. Analytical measure- mineralogical phases in different samples. Micro- ments followed an interference correction for oxides probe analysis (Cameca SX50) was applied at and bi-charged ions according to a well-calibrated 15–25 kV to determine the chemical composition laboratory procedure (Aries et al., 2000). Results of the sulfide minerals. were corrected using blanks. Organic matter content was determined on Sediments were air dried in a controlled atmo- 100 mg of lake sediment (G8), by thermogravimetric sphere, and then sieved with Teflon-coated sieves. (TG) analysis, with a gradient of 5 °C/min up to A portion of the <2 mm fraction was analyzed by 700 °C. X-ray diffraction (XRD), and the remainder was completely dissolved in strong acids (HF/HNO3/ 2.3. Calculations H2O2) in a clean room. Acid digestions did not exceed 90 °C to avoid As volatilization. Every diges- The code WATEQ4F (Ball and Nordstrom, tion was controlled with procedural blanks and 1991) was used to assess the mineral saturation indi- certified standard sediment STDS02. Recovery of ces, the ion activities and the distribution of aque- the different elements was: Zn: 109 ± 10%, As: ous species of the surface waters. 88 ± 9%, Sn: 107 ± 15%, Pb: 102 ± 9%, Cu: 94 ± An enrichment factor (EF) was calculated to 11%, Mn: 88 ± 11% and Fe: 83 ± 13%. characterize the influence of geological, hydrologi- A sequential extraction procedure was performed cal and mining factors on element concentrations on sediment samples. This experimental technique in surface waters (Schu¨tz and Rahn, 1982; Shotyk, has been largely used in environmental studies (Fil- 1996). Several reference elements can be used (Zr, gueiras et al., 2002), and several schemes exist (Smi- Hf, Ti, Al and Sc), but Zr and Hf were often below chowski et al., 2005). The procedure of Leleyter and analytical detection limits, and Al was not conserva- Probst (1999) was chosen because it has been devel- tive in the acidic and oxic conditions of the mining oped for river sediments and suspended particulate sector (Table 1). Titanium was a good candidate Table 1 Main physico-chemical parameters and composition of water in Milluni basin 1 2 1 Chemical parameters, WG WHO pH, wg HCO3 (mg l ), wg SO4 (mg l ), 400 Points n Wet season Dry season Wet season Dry season Wet season Dry season Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Pristine and slightly contaminated waters P1 2 7.51 8.11 3.12 10.6 0.59 6.94 J5 15 6.60 6.94 7.99 6.40 6.74 7.64 7.20 15.7 19.7 10.2 16.6 20.9 10.6 14.6 22.3 13.7 38.1 74.0 J9 2 6.68 6.61 17.0 15.7 15.5 20.6 V1 2 4.87 4.74 1.36 1.40 28.0 25.0 M3 17 3.69 4.04 4.35 3.81 4.27 4.65 0.60 2.56 27.9 39.5 52.9 18.0 24.5 33.7 G9 15 6.68 7.33 9.16 6.04 7.40 9.20 14.0 23.5 30.2 8.76 17.7 21.8 18.9 20.5 24.1 12.3 17.1 20.9 Highly contaminated waters M1 15 2.56 2.72 2.86 2.58 3.05 3.29 897 1340.0 1550.0 757 1100.0 1630.0 M4 2 2.63 2.44 850 806 M6 2 2.67 2.86 1060.0 7190.0 M8 2 2.76 2.50 517 2290.0 G3 16 2.90 3.22 3.31 2.98 3.16 3.38 99.7 124 280 90.0 138 176 G8 15 2.70 2.82 2.90 2.70 2.83 3.02 310 463 540 260 349 471
Chemical parameters, WG WHO TDS (mg l 1), wg Ca (mg l 1), wg Mg (mg l 1), wg Points n Wet season Dry season Wet season Dry season Wet season Dry season Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Pristine and slightly contaminated waters P1 2 5.3 26.5 0.9 5.3 0.1 0.3 J5 15 25.6 43.1 51.4 45.4 76.6 125.6 4.7 7.1 9.5 8.5 14.5 23.0 0.7 1.4 1.8 1.8 3.0 5.3 J9 2 46.2 50.6 8.6 10.0 1.4 2.2 V1 2 43.0 36.2 3.9 3.7 3.1 2.8 M3 17 37.5 55.3 73.8 27.5 35.4 48.3 3.5 4.1 4.7 2.7 3.2 4.4 2.4 3.3 3.9 2.0 2.3 3.2 G9 15 45.2 61.2 70.1 29.2 47.8 58.4 6.8 8.6 9.2 5.1 8.8 12.1 1.3 3.2 4.3 1.2 1.7 2.2 Highly contaminated waters M1 15 1310 1940 2220 1150 1620 2290 30.3 42.9 55.5 37.4 50.9 69.2 38.0 58.9 66.8 30.6 52.1 78.8 M4 2 1220 1190 25.3 16.5 31.1 20.3 M6 2 1480 11,000 30.2 57.8 32.1 179 M8 2 725 3450 14.4 45.1 19.5 45.2 G3 16 132 167 378 125 187 231 5.6 6.9 11.5 5.9 9.7 12.1 6.9 8.4 14.5 7.0 10.5 12.9 G8 15 407 643 797 379 490 634 10.5 15.1 18.0 7.2 13.3 26.8 12.3 18.8 23.0 8.8 16.9 33.9
Chemical parameters, WG WHO Eh (mv), wg Fe (mg l 1), 0.3 Al (mg l 1), 1.43 Points n Wet season Dry season Wet season Dry season Wet season Dry season Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Pristine and slightly contaminated waters P1 2 150 22 0.04 0.06 0.01 0.01 J5 15 118 194 276 185 230 268 0.01 0.11 0.25 0.01 0.07 0.19 <0.01 0.01 0.04 <0.01 <0.01 0.01 J9 2 160 153 0.08 0.01 0.01 0.01 V1 2 384 229 0.11 0.13 0.23 0.13 M3 17 422 438 457 265 321 384 0.14 0.54 1.22 0.05 0.16 0.65 0.23 0.76 1.46 0.16 0.31 0.56 G9 15 129 213 308 184 293 357 0.01 0.18 0.30 0.01 0.08 0.31 0.02 0.08 0.28 <0.01 0.02 0.07 Highly contaminated waters M1 15 412 420 425 319 363 407 195 367 437 152 253 310 3.0 10.5 13.9 3.6 5.4 7.4 M4 2 476 467 227 123 6.0 1.9 M6 2 434 287 277 2900.0 21.1 24.6 M8 2 429 362 123 905 4.5 4.4 G3 16 476 477 480 353 434 487 4.7 7.1 11.5 7.8 14.5 21.5 1.9 3.6 13.5 0.4 1.7 3.4 G8 15 554 562 571 522 531 537 49.0 97.9 152 44.1 58.3 80.1 1.8 3.8 5.9 2.3 3.0 3.7 NB: WG WHO, water guidelines given by the World Health Organization; wg, without guideline; n, number of samples. If only one measurement was made, it is indicated as a median value. HCO3 was not measured for acid waters. (particularly relative to hydrological discrimina- Piper diagrams were used to compare major ion tion), but Sc was more efficient at distinguishing composition of WS water samples, which exhibited between pristine and contaminated areas in terms large variations in TDS (Fig. 3). Cation (Fig. 3a) of weathering. The EF calculated using local geo- and anion (Fig. 3b) distributions identify three chemical background or earth crust (Wedepohl, regions with distinct water compositions: (1) the 1995) values as references, gives similar discrimina- upper basin, including the Pata Kkota sector (PK, 2+ tions of the contaminated areas. To standardize black circles), dominated by Ca and HCO3 ; (2) the results, the latter was chosen: the middle basin, in the vicinity of Jankho Kkota (JK, black squares) with a transition from Ca2+ M w M ec EF ¼ ð1Þ and HCO to Ca2+ +Mg2+ and HCO þ SO2 Sc Sc 3 3 4 w ec dominated waters; (3) the mining and downstream where EF is enrichment factor, M is the PHE of region including the Milluni Chico (MC) and Mill- interest, Sc is scandium, and subscript w indicated uni Grande (MG) areas (triangles), which is charac- 2 surface water concentration and ec earth crust con- terized by SO4 plus a range between nearly equal centration. An EF between 0.5 and 2 is in the range proportions of Ca2+ and Mg2+,toMg2+ dominated of natural variability, whereas values greater than 2 waters. indicate a likelihood of anthropogenic enrichment Whatever the season, the Eh of surface waters (Hernandez et al., 2003; Schu¨tz and Rahn, 1982). was higher in mine outputs (M1, M4) than in pris- tine waters (P1, V1). There was a general trend of 3. Results decreasing Eh value from WS to DS in all catch- ments, however, all values were indicative of oxidiz- 3.1. Chemical composition of surface waters ing conditions. Most of the chemical species in the highly contaminated waters exceeded the water 3.1.1. Major elements guidelines proposed by the World Health Organiza- Table 1 presents physical and chemical parame- tion (WG WHO, O.P.S., 1987, Table 1). ters for representative surface water samples. Pris- tine waters originate from separate geochemical 3.1.2. PHEs formations: a granitic area (P1) and a non-mined PHE concentrations in the Milluni waters mineralized unit (Catavi Formation, V1). The pH (Table 2) shows a huge break between waters drain- and TDS values indicate a clear difference between ing the pristine and slightly contaminated areas and pristine or slightly contaminated and mining those draining the mining area. A generally decreas- impacted waters. This shift in aqueous geochemistry ing trend in concentrations was observed for con- was observed for all cations. Water from the mining taminated waters (Tables 1 and 2), with five orders sector is characterized by a decrease in pH and alka- of magnitude difference between Fe and Pb: 2 linity and an increase in SO4 concentrations. Fe Zn > Mn Al As Cu >Cd Pb. This
Fig. 3. Piper diagrams for cations (a) and anions (b) of the main streams from the Milluni Valley during the wet season. Table 2 PHE concentrations in waters of Milluni Valley Chemical parameters, WG Zn (lgl 1), 2000 Mn (lgl 1), 500 As (lgl 1), 10 WHO Points n Wet season Dry season Wet season Dry season Wet season Dry season Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Pristine and slightly contaminated waters P1 2 13.4 0.5 6.4 8.3 3.7 4.4 J5 15 32.6 129.0 206 81.7 261 425 48.5 214 330 4.6 76.8 175 0.7 1.0 1.5 0.1 0.4 0.9 J9 2 58.8 49.3 51.4 13.5 2.3 0.6 V1 2 1080 756 336 305 0.5 0.4 M3 17 1230 2110 3170 810 1180 1530 557 625 778 274 426 548 0.8 1.5 2.2 0.5 0.9 2.1 G9 15 16.8 101 220 10.0 110 282 13.4 88.6 125 <0.1 43.1 160 1.1 1.9 3.0 0.5 1.5 3.2 Highly contaminated waters M1 15 55,100 74,200 119,000 78,600 126,000 166,000 17,500 28,400 33,500 14.5 27.2 35.2 23 1180 2280 40 115 232 M4 2 53,800 202,000 14,000 11.6 3560 573 M6 2 28,100 489,000 15,500 105 4600 17,800 M8 2 26,700 114,000 9350 25.6 636 1400 G3 16 2580 6890 25,800 2090 4610 8840 1200 2530 12,200 1.0 2.1 4.5 6.2 24 121 3.6 16 37 G8 15 16,100 29,000 57,200 22,400 31,400 39,800 3860 8420 13,200 5.5 7.2 9.2 19 77 170 16 29 37
Chemical parameters, WG WHO Cu (lgl 1), 1300 Cd (lgl 1), 3 Pb (lgl 1), 10 Points n Wet season Dry season Wet season Dry season Wet season Dry season Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Min Med Max Pristine and slightly contaminated waters P1 2 0.7 0.2 <0.1 <0.1 0.1 <0.1 J5 15 <0.1 0.5 1.1 0.1 0.3 0.5 <0.1 0.2 0.3 0.2 0.3 0.6 <0.1 0.1 0.3 <0.1 <0.1 0.3 J9 2 3.3 0.9 0.1 0.2 19.0 <0.1 V1 2 51.7 31.1 3.6 2.5 0.2 <0.1 (continued on next page) trend was similar for pristine and slightly contami- nated waters, but the difference between Fe and Pb concentrations was only three orders of magni- tude. PHE speciation calculated for contaminated waters showed that >60% of Zn, Cd, Cu, Ni, Fe and Mn were as free cations and the remaining frac- tion was represented mostly by SO4 complexes. Only Pb was dominated by SO4 complexes 1 ( 60%). Arsenic was mainly as H2AsO4 (>70%). Cadmium was the only element for which guide- ), 10 1