Abstract
Degradation of source water quality complicates water treatment processes, resulting in additional treatment cost and tap water quality deterioration. In this study, source water quality was investigated for 441 water supply systems (WSSs) during the period of 18 years (1999–2016). The investigation was performed on 21 water quality parameters (WQPs) for groundwater (GWS) and surface water (SWS) sources. The averages of dissolved organic carbon (DOC), color, and Kjeldahl nitrogen (N) were much higher in SWS than GWS while other 18 WQPs (e.g., alkalinity, conductivity, and pH) were higher in GWS. In SWS, averages of DOC during 2000–2005, 2006–2010, and 2011–2015 were 6.08, 6.74, and 6.78 mg/L, respectively. In these periods, pH were 6.39, 6.62, and 6.77, respectively. In GWS, averages of DOC in these periods were 1.43, 1.36, and 1.81 mg/L, respectively, while pH were 7.50, 7.69, and 7.89, respectively. The DOC in SWS and GWS were increasing at the rates of 0.0722 and 0.0491 mg/L/year, respectively, while pH were increasing at the rates of 0.0375 and 0.0441 units/year, respectively. Trihalomethanes showed increasing trends in drinking water from SWS and GWS while haloacetic acids showed no trend. In SWS, DOC and its rate of increase were higher while in GWS, pH and its rate of increase were higher. The higher DOC and pH, and their increasing rates could increase disinfection byproducts (DBPs) in drinking water. Many DBPs are known as possible or probable human carcinogens and some DBPs are regulated. The other WQP and their increasing patterns can also impart new challenges, which are likely to increase the treatment cost and/or deteriorate drinking water quality.
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References
Bricker, O. P., & Jones, B. F. (1995). Main parameters affecting the composition of natural waters. In B. Salbu & E. Steinnes (Eds.), Trace elements in natural waters (pp. 1–5). Boca Raton: CRC Press.
Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., & Smith, V. H. (1998). Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecological Applications, 83, 559–568.
Chowdhury, S. (2013). Impact of source waters, disinfectants, seasons and treatment approaches on trihalomethanes in drinking water: a comparison based on the size of municipal systems. Water Environment Journal, 27, 197–206.
Chowdhury, S. (2018). Occurrences and changes of disinfection byproducts in small water supply systems. Environmental Monitoring and Assessment, 190, 32. https://doi.org/10.1007/s10661-017-6410-8.
Chowdhury, S., & Zahrani, M. (2014). Water quality change in dam reservoir and shallow aquifer: analysis on trend, seasonal variability and data reduction. Environmental Monitoring and Assessment, 186, 6127–6143.
Chowdhury, S., Champagne, P., & Husain, T. (2007). Fuzzy risk-based decision-making approach for selection of drinking water disinfectants. Journal of Water Supply: Research and Technology-AQUA, 56, 75–93.
Chowdhury, S., Champagne, P., & McLellan, P. J. (2008). Factors influencing formation of trihalomethanes in drinking water: results from multivariate statistical investigation of the Ontario Drinking Water Surveillance Program database. Water Quality Research Journal of Canada, 43(2/3), 189–199.
Clark, R. M., Adams, J. Q., Sethi, V., & Sivaganesan, M. (1998). Control of microbial contaminants and disinfection byproducts for drinking water in the US: cost and performance. Journal of Water SRT, 47, 255–265.
Delpla, I., Jung, A. V., Baures, E., Clement, M., & Thomas, O. (2009). Impacts of climate change on surface water quality in relation to drinking water production. Environment International, 35, 1225–1233.
Engerholm, B. A., & Amy, G. L. (1983). A predictive model for chloroform formation from humic acid. Journal of American Water Works Association, 75, 418–423.
Evans, C. D., Monteith, D. T., & Cooper, D. M. (2005). Long-term increases in surface water dissolved organic carbon: observations, possible causes and environmental impacts. Environmental Pollution, 137, 55–71.
Health Canada (2012). Guidelines for Canadian drinking water quality. Prepared by the Federal–Provincial–Territorial Committee on Health and the Environment: March, Ottawa, Canada
Jarvie, H. P., Whitton, B. A., & Neal, C. (1998). Nitrogen and phosphorus in east-coast British rivers: speciation, sources and biological significance. Science of the Total Environment, 210/211, 79–109.
Krasner, S. W., Weinberg, H. S., Richardson, S. D., Pastor, S. J., Chinn, R., Sclimenti, M. J., Onstad, G. D., & Thruston Jr., A. D. (2006). Occurrences of a new generation of disinfection byproducts. Environmental Science and Technology, 40, 7175–7185.
Mann, H. B. (1945). Non-parametric test against trend. Econometrica, 13, 245–259.
Minitab Inc. (2016). The statistical software package. Available at: http://www.minitab.com/en-us/.
MOE (Ministry of the Environment) (2007). Drinking Water Surveillance Program (DWSP) summary report for 2000–2004. Personal communication with Dave Fellowes, Ministry of the Environment, Ontario, Canada.
Monteith, D.T., Stoddard, J.L., Evans, C.D., deWit, H.A., Forsius, M., Høgasen, T., Wilander, A., Skjelkvale, B.L., Jeffries. D.S., Vuorenmaa, J., Keller, B., Jiri Kopacek, J., Vesely, J. (2007). Dissolved organic carbon trends resulting from changes in atmospheric deposition chemistry. Vol 450|22 November 2007|. https://doi.org/10.1038/nature06316.
NL-DOE (Department of Environment and Climate Change) (2016). Newfoundland and labrador water resources portal. http://maps.gov.nl.ca/water/.
Prathumratana, L., Sthiannopkao, S., & Kim, K. W. (2008). The relationship of climatic and hydrological parameters to surface water quality in the lower Mekong River. Environment International, 34, 860–866.
Qadir, A., Malik, R. N., & Husain, S. Z. (2007). Spatio-temporal variations in water quality of Nullah Aik-tributary of the river Chenab, Pakistan. Environmental Monitoring and Assessment, 140, 43–59.
SAS Inc. (2016). Statistical discovery software. SAS Institute Inc. (http://www.jmp.com/), NC, USA.
Shrestha, S., & Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji River basin, Japan. Environmental Modelling and Software, 22, 464–475.
Simeonov, P., Simeonov, V., & Andreev, G. (2003). Environmetric analysis of the Struma River water quality. Central European Journal of Chemistry, 2, 121–126.
Singh, K. P., Malik, A., Mohan, D., & Sinha, S. (2004). Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India): a case study. Water Research, 38, 3980–3992.
USEPA (United States Environmental Protection Agency) (2016). The Integrated Risk Information System (IRIS) online database; USEPA. Available at: http://www.epa.gov/iris/subst/index.html, Washington D.C., USA.
Varol, M., & Şen, B. (2009). Assessment of surface water quality using multivariate statistical techniques: a case study of Behrimaz Stream, Turkey. Environmental Monitoring and Assessment, 159, 543–553.
Varol, M., Gökot, B., Bekleyen, A., & Şen, B. (2012). Spatial and temporal variations in surface water quality of the dam reservoirs in the Tigris River basin, Turkey. Catena, 92, 11–21.
Vega, M., Pardo, R., Barrado, E., & Deban, L. (1998). Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Research, 32, 3581–3592.
WHO (World Health Organization) (2011). Guidelines for drinking-water quality, 4th eds. Vol. 1, Recommendations, Geneva.
Wunderlin, D. A., Diaz, M. P., Ame, M. V., Pesce, S. F., Hued, A. C., & Bistoni, M. A. (2001). Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquia River basin (Cordoba, Argentina). Water Research, 35, 2881–2894.
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Chowdhury, S. Water quality degradation in the sources of drinking water: an assessment based on 18 years of data from 441 water supply systems. Environ Monit Assess 190, 379 (2018). https://doi.org/10.1007/s10661-018-6772-6
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DOI: https://doi.org/10.1007/s10661-018-6772-6