Abstract
In this study, the water quality of the Marreco River in the municipality of Toledo, PR, Brazil was investigated as part of a monitoring program. Conventional water pollution parameters (pH, turbidity, conductivity, COD, DO, ammonia, and total phosphorus) and metal elements were analyzed. Acute toxicity bioassays were conducted by the bacterial bioluminescence method, using the indicator Vibrio fischeri to evaluate the toxic effect of the contaminants. Principal components analysis (PCA) and Pearson’s correlation were applied to assess the statistical correlation between the physicochemical parameters and metals in the water samples. There is strong evidence, supported by Pearson and PCA analyses, of the presence of elevated levels of K and Ca associated with anthropogenic activities installed in the river basin.
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ABNT. (2012). NBR 15411–3: Ecotoxicologia aquática – Determinação do efeito inibitório de amostras aquosas sobre a emissão de luz de Vibrio fischeri (Ensaio de bactéria luminescente) Parte 3: Método utilizando bactérias liofilizadas. Rio de Janeiro (p. 23).
APHA/AWWA/WEF. (2005). Standard methods for the examination of water and wastewater (21st ed., p. 1082). Washington: American Public Health Association.
BRASIL. CONAMA. Resolução n. 357, de 17 de marco de 2005. Dispõe sobre a classificação dos corpos de agua e diretrizes ambientais para o seu enquadramento, bem como estabelece as condições e padrões de lançamento de efluentes, e da outras providências. Diário Oficial da União: Republica Federativa do Brasil, Poder Executivo, Brasília, DF, n. 53, 18 mar. 2005. Seção 1, p. 58–63. Available at: <http://www.mma.gov.br/port/conama/legiabre.cfm?codlegi=459>. Accessed in Aug 2015.
Bruker. (2007). S2 PICOFOX total reflection X-ray fluorescence spectroscopy—working principles. Lab report. Berlin, Germany: Bruker AXS Microanalysis GmbH. [Report No. XRF.
Dixon, W., & Chiswell, B. (1996). Review of aquatic monitoring program design. Water Research, 30, 1935–1948.
Espinoza-Quiñones, F. R., Módenes, A. N., Palácio, S. M., Lorenz, E. K., & Oliveira, A. P. (2011). Analysis of metal concentration levels in water, sediment and fish tissues from Toledo municipal lake by applying SR-TXRF technique. Water Science and Technology, 63, 1506–1512.
Espinoza-Quiñones, F. R., Palácio, S. M., Palácio, A. N., Szymanski, N., Zacarkim, C. E., Zenatti, D. C., Fornari, M. M. T., Rizzutto, M. A., Tabacniks, M. H., Added, N., & Kroumov, A. D. (2010). Water quality assessment of Toledo River and determination of metal concentrations by using SR-TXRF technique. Journal of Radioanalytical and Nuclear Chemistry, 283, 465–470.
Farnham, I. M., Singh, A. K., Stetzenbach, K. J., & Johannesson, K. H. (2002). Treatment of nondetects in multivariate analysis of groundwater geochemistry data. Chemometrics and Intelligent Laboratory Systems, 60, 265–281.
Harguinteguy, C. A., Cofré, M. N., Fernández-Cirelli, A., & Pignata, M. L. (2016). The macrophytes Potamogeton pusillus L. and Myriophyllum aquaticum (Vell.) Verdc. as potential bioindicators of a river contaminated by heavy metals. Microchemical Journal, 124, 228–234.
Hillel, N., Geyer, S., Licha, T., Khayat, S., Laronne, J. B., & Siebert, C. (2015). Water quality and discharge of the Lower Jordan River. Journal of Hydrology, 527, 1096–1105.
Kazi, T. G., Arain, M. B., Jamali, M. K., Jalbani, N., Afridi, H. I., Sarfraz, R. A., Baig, J. A., & Shah, A. Q. (2009). Assessment of water quality of polluted lake using multivariate statistical techniques: a case study assessment of water quality of polluted lake using multivariate statistical techniques: a case study. Ecotoxicology and Environmental Safety, 72, 301–309.
Keddy, C. J., Greene, J. C., & Bonnell, M. A. (1995). Review of whole-organism bioassays: soil, freshwater sediment, and freshwater assessment in Canada. Ecotoxicology and Environmental Safety, 30, 221–251.
Kiedrzynska, E., Kiedrzynski, M., Urbaniaka, M., Magnuszewski, A., Skłodowski, M., Wyrwicka, A., & Zalewski, M. (2014). Point sources of nutrient pollution in the lowland river catchment in the context of the Baltic Sea eutrophication. Ecological Engineering, 70, 337–348.
Kowalkowski, T., Zbytniewskia, R., Szpejna, J., & Buszewskia, B. (2006). Application of chemometrics in river water classification. Water Research, 40, 744–752.
Krusche, A. V., Carvalho, F. P., Moraes, J. M., Ballester, M. V. R., Hornink, S., Martinelli, L. A., & Victoria, R. L. (1997). Spatial and temporal water quality variability in the Piracicaba river basin, Brasil. Journal of the American Water Resources Association, 33, 1117–1123.
Lewis, M. A., Goodman, L. R., Macauley, J. M., & Moore, J. C. (2004). Sediment toxicity and community composition of benthos and colonized periphyton in the everglades–Florida bay transitional zone. Ecotoxicology, 13, 231–244.
Martinelli, L. A., Krusche, A. V., Victoria, R. L., Camargo, P. B., Bernardes, M., Ferraz, E. S., Moraes, J. M., & Ballester, M. V. (1999). Effects of sewage on the chemical composition of Piracicaba River, South-East Brazil. Water, Air and Soil Pollution, 110, 67–69.
Obregón, P. L., Espinoza-Quiñones, F. R., & Módenes, A. N. (2014). Water quality monitoring of the Bezerra River (Cascavel, Brazil) using SR-TXRF technique. Journal of Chemistry and Chemical Engineering, 8, 587–595.
Olsen, R. L., Chappell, R. W., & Loftis, J. C. (2012). Water quality sample collection, data treatment and results presentation for principal components analysis—literature review and Illinois River watershed case study. Water Research, 46, 3110–3122.
Ometto, J. P. H. B., Martinelli, L. A., Ballester, M. V. R., Gessner, A., Krusche, A. V., Victoria, R. L., & Williams, M. (2000). Effects of land use on the water chemistry and macroinvertebrates in two streams of the Piracicaba River basin, South-East Brazil. Freshwater Biology, 44, 327–337.
Reghunath, R., Murthy, T. R. S., & Raghavan, B. R. (2002). The utility of multivariate statistical techniques in hydrogeochemical studies: an example from Karnataka, India. Water Research, 36, 2437–2442.
Rizzutto, M. A., Added, N., Tabacniks, M. H., Espinoza-Quiñones, F. R., Palacio, S. M., Galante, R. M., Rossi, N., Zenatti, D. C., Rossi, F. L., Welter, R. A., & Módenes, A. N. (2006). Trace element concentrations from São Francisco River—PR analyzed with PIXE technique. Journal of Radioanalytical and Nuclear Chemistry, 269, 727–731.
Roig, N., Sierra, J., Nadal, M., Moreno-Garrido, I., Nieto, E., Hampel, M., Gallego, E. P., Schuhmacher, M., & Blasco, J. (2014). Assessment of sediment ecotoxicological status as a complementary tool for the evaluation of surface water quality: the Ebro river basin case study. Science of The Total Environment, 503, 269–278.
Simeonov, V., Simeonova, P., & Tsitouridou, R. (2004). Chemometric quality assessment of surface waters: two case studies. Chemical and Engineering Ecology, 11, 449–469.
Tuikkaa, A. I., Schmittb, C., Hössc, S., Bandowd, N., Von Der Ohed, P. C., De Zwarte, D., De Deckereb, E., Streckd, G., Mothesd, S., Van Hattumf, B., Kocang, A., Brixh, R., Brackd, W., Barcelóh, D., Sormunena, A. J., & Kukkonena, J. V. K. (2011). Toxicity assessment of sediments from three European river basins using a sediment contact test battery. Ecotoxicology and Environmental Safety, 74, 123–131.
USEPA. (2006). National Recommended Water Quality Criteria. United States Environmental Protection Agency. Office of Water, Office of Science and Technology.
Zadorozhnaya, O., Kirsanov, D., Buzhinsky, I., Tsarev, F., Abramova, N., Bratov, A., Muñoz, F. J., Ribó, J., Bori, J., Riva, M. C., & Legin, A. (2015). Water pollution monitoring by an artificial sensory system performing in terms of Vibrio fischeri bacteria. Sensors and Actuators B, 207, 1069–1075.
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Palácio, S.M., Espinoza-Quiñones, F.R., de Pauli, A.R. et al. Assessment of Anthropogenic Impacts on the Water Quality of Marreco River, Brazil, Based on Principal Component Analysis and Toxicological Assays. Water Air Soil Pollut 227, 307 (2016). https://doi.org/10.1007/s11270-016-3025-6
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DOI: https://doi.org/10.1007/s11270-016-3025-6