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Spatial and temporal assessment of surface water quality using water quality index The Saguling Reservoir, Indonesia

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Języki publikacji
EN
Abstrakty
EN
Developments in agriculture, industry, and urban life have caused the deterioration of water resources, such as rivers and reservoirs in terms of their quality and quantity. This includes the Saguling Reservoir located in the Citarum Basin, Indonesia. A review of previous studies reveals that the water quality index (WQI) is efficient for the identification of pollution sources, as well as for the understanding of temporal and spatial variations in reservoir water quality. The NSFWQI (The National Sanitation Foundation water quality index) is one of WQI calculation methods. The NSFWQI is commonly used as an indicator of surface water quality. It is based on nitrate, phosphate, turbidity, temperature, faecal coliform, pH, DO, TDS, and BOD. The average NSFWQI has been 48.42 during a dry year, 43.97 during a normal year, and 45.82 during a wet year. The WQI helped to classify water quality in the Saguling Reservoir as “bad”. This study reveals that the strongest and most significant correlation between the parameter concentration and the WQI is the turbidity concentration, for which the coefficient correlation is 0.821 in a dry year, and faecal coli, for which the coefficient correlation is 0.729 in a dry year. Both parameters can be used to calculate the WQI. The research also included a nitrate concentration distribution analysis around the Saguling Reservoir using the Inverse Distance Weighted method.
Wydawca
Rocznik
Tom
Strony
111--120
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
  • Bandung Institute of Technology, Faculty of Civil and Environmental Engineering, Jl. Ganesha No 10, Bandung, Indonesia
autor
  • Bandung Institute of Technology, Faculty of Civil and Environmental Engineering, Jl. Ganesha No 10, Bandung, Indonesia
  • Bandung Institute of Technology, Faculty of Civil and Environmental Engineering, Jl. Ganesha No 10, Bandung, Indonesia
Bibliografia
  • ADB 2016. Indonesia country water assessment. Asian Development Bank. ISBN 978-92-9257-360-7 pp. 112.
  • BARKI D.N., SINGA P. 2014. Water quality assessment in terms of water quality index. Global Journal of Biology, Agriculture & Health Science. Vol. 3(3) p. 69–71.
  • BOLSTAD P.V., SWANK W.T. 2003. Cumulative impacts of landuse on water quality in a southern Appalachian watershed. Journal of the American Water Resources Association. Vol. 33. Iss. 3 p. 519–533. DOI 10.1111/j.1752-1688.1997.tb03529.x
  • BORDALO A.A., NILSUMRANCHIT W., CHALERMWAT K. 2001. Water quality and uses of the Bangpakong River (Eastern Thailand). Water Research. Vol. 35. Iss. 15 p. 3635–3642. DOI 10.1016/S0043-1354(01)00079-3.
  • Government Regulations Number 82 of 2001 regarding Water Quality Management and Water Pollution Control.
  • GREENBERG A.E., EATON A.D., CLESCERL L.S. (eds) 1999. Standard methods for the examination of water and wastewater. APHA US. ISBN 0-87553-235-7 pp. 1325.
  • HORTON R.K. 1965. An index number system for rating water quality. Journal (Water Pollution Control Federation). Vol. 37(3) p. 300–306.
  • JOHN V., JAIN P., RAHATE M., LABHASETWAR P. 2014. Assessment of deterioration in water quality from source to household storage in semi-urban settings of developing countries. Environmental Monitoring and Assessment. Vol. 186 p. 725–734. DOI 10.1007/s10661-013-3412-z
  • KANNEL P.R., LEE S., LEE Y.S., KANEL S.R., KHAN S.P. 2007. Ap-plication of water quality indices and dissolved oxygen as indicators for river water classification and urban impact assessment. Environmental Monitoring and Assessment. Vol. 132 p. 93–110. DOI 10.1007/s10661-006-9505-1.
  • Keputusam Menter Negara Lingkungan Hidup Nomor 115 Tahun 2003 tentang Pedoman Penentuan Status Mutu Air [Decree of the Ministry of Environment and Forestry Number 115 of 2003 concerning Guidelines for Determining Water Quality Status].
  • KOÇER M.A.T., SEVGILI H. 2014. Parameters selection for water quality index in the assessment of the environmental impacts of land-based trout farms. Ecological Indicators. Vol. 36 p. 672–681. DOI 10.1016/j.ecolind.2013.09.034.
  • PAUN I., CRUCERU L.V., CHIRIAC F.L., NICULESCU M., VASILE G.G., MARIN N.M. 2016. Water quality indices-methods for evaluating the quality of drinking water. In: The environment and the industry. INCD ECOIND – International Symposium – Simi 2016. Proceeding Book p. 396–402.
  • PESCE S.F., WUNDERLIN D.A. 2000. Use of water quality indices to verify the impact of Cordoba city (Argentina) on Suqú ya River. Water Research. Vol. 34 p. 2915–2926.
  • PRICE C., BLACK K.D., HARGRAVE B.T., MORRIS J. JR. 2015. Marine cage culture and the environment: Effects on water quality and primary production. Aquaculture Environment Interactions. Vol. 6 p. 151–174. DOI 10.3354/aei00122.
  • SANCHEZ E., COLMENAREJO M.F., VICENTE J., RUBIO A., GARCIA M.G., TRAVIESO L., BORJA R. 2007. Use of the water quality index and dissolved oxygen deficit as simple indicators of watersheds pollution. Ecological Indicators. Vol. 7(2) p. 315–328. DOI 10.1016/j.ecolind.2006.02.005.
  • SHARMA D., KANSAL A. 2011. Water quality analysis of River Yamuna using water quality index in the national capital territory, India (2000–2009). Applied Water Science. Vol. 1 p. 147–157. DOI 10.1007/s13201-011-0011-4.
  • TODD A.S., MANNING A.H., VERPLANCK P.L., CROUCH C., MCKNIGHT D.M., DUNHAM R. 2012. Climate-change-driven deterioration of water quality in a mineralized watershed. Environmental Science and Technology. Vol. 46(17) p. 9324–9332. DOI 10.1021/es3020056.
  • WU Z., ZHANG D., CAI Y., WANG X., ZHANG L., CHEN Y. 2017. Water quality assessment based on the water quality index method in Lake Poyang: the largest freshwater lake in China. Scientific Reports. Vol. 7, 17999. DOI 10.1038/s41598-017-18285-y.
  • ZEINALZADEH K., REZAEI E. 2017. Determining spatial and temporal changes of surface water quality using principal component analysis. Journal of Hydrology: Regional Studies. Vol. 13 p. 1–10. DOI 10.1016/j.ejrh.2017.07.002.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f5e72769-60d2-41e8-933b-677f383bccd2
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