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Application of environmetric methods to investigate control factors on water quality

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the study, environmetric methods were successfully performed a) to explore natural and anthropogenic controls on reservoir water quality, b) to investigate spatial and temporal differences in quality, and c) to determine quality variables discriminating three reservoirs in Izmir, Turkey. Results showed that overall water quality was mainly governed by “natural factors” in the whole region. A parameter that was the most important in contributing to water quality variation for one reservoir was not important for another. Between summer and winter periods, difference in arsenic concentrations were statistically significant in the Tahtalı, Ürkmez and iron concentrations were in the Balçova reservoirs. Observation of high/low levels in two seasons was explained by different processes as for instance, dilution from runoff at times of high flow seeped through soil and entered the river along with the rainwater run-off and adsorption. Three variables “boron, arsenic and sulphate” discriminated quality among Balçova & Tahtalı, Balçova & Ürkmez and two variables “zinc and arsenic” among the Tahtalı & Ürkmez reservoirs. The results illustrated the usefulness of multivariate statistical techniques to fingerprint pollution sources and investigate temporal/spatial variations in water quality.
Rocznik
Strony
17--23
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
  • Dokuz Eylul University, Turkey Department of Environmental Engineering
  • Ege University, Turkey Department of Statistics
Bibliografia
  • [1]. APHA American Public Health Association (2005). Standard methods for the examination of water and waste water. 21st edition, American Public Health Association, Washington 2005.
  • [2]. Aris, A.Z., Praveena, S.M., Isa, N.M., Lim, W.Y., Juahir, H., Yusoff, M.K. & Mustapha, A. (2013). Application of environmetric methods to surface water quality assessment of Langkawi Geopark (Malaysia), Environmental Forensics, 14:3, pp. 230–239.
  • [3]. BCME-British Columbia Ministry of Environment-Lands and Parks (2000). Ambient water quality guidelines for sulphate. Water quality. ambient water quality guidelines for sulphate overview report.
  • [4]. Bolca, M., Turkyılmaz, B., Kurucu, Y., Altınbaş, Ü., Esetlili, M.T. & Gülgün, B. (2007). Determination of impact of urbanization on agricultural land and wetland land use in Balçovas Delta by remote sensing and GIS technique, Environmental Monitoring and Assessment, 131, pp. 409–419.
  • [5]. Boyacioglu, H. (2014). Spatial differentiation of water quality between reservoirs under anthropogenic and natural factors based on statistical approach, Archives of Environmental Protection, 40/1, pp. 41–50.
  • [6]. CCME-Canadian Environmental Quality Guidelines (2009). Canadian Water Quality Guidelines for the Protection of Aquatic Life. Canadian Council of Ministers of the Environment.
  • [7]. EEA (2011): European Environment Agency. Surface water quality monitoring. Retrieved April 18, 2016 from http://www.eea.europa.eu/publications/92-9167-001-4/page003.html
  • [8]. Gao, C. Yan, J.. Yang, S & Tan, G. (2011). Applying factor analysis to water quality assessment: a study case of Wenyu River. Nonlinear mathematics for uncertainty and its applications AISC 100 Chapter. pp. 541–547.
  • [9]. Gault, A.G., Polya, D.A. & Lythgoe, P.R. (2003). Seasonal variation of total dissolved arsenic and arsenic speciation in a polluted surface waterway, Environmental Geochemistry and Health, 25/1, pp. 77–85.
  • [10]. Gülersoy, A. (2014). Temporal change of land use in Seferihisar (1984-2010) and proposals for optimal land use. SDU Faculty of Arts and Sciences, Journal of Social Sciences, 31, pp. 155–180.
  • [11]. IZSU (Izmir Water Supply and Sewerage Authority). (www.izsu.gov.tr (05.05.2016)).
  • [12]. Juahir, H., Zain, S., Aris, A.Z. & Mokhtar, L.M. (2010). Spatial assessment of Langat River water quality using chemometrics, Journal of Environmental Monitoring, 12(1), pp. 287–295.
  • [13]. Kaur, S. & Mehra, P. (2012). Assessment of heavy metals in summer & winter seasons in River Yamuna segment flowing through Delhi, India, Journal of Environment and Ecology, 3/1, pp. 149–165.
  • [14]. Niedzielski, P., Siepak, J., Siepak, M. & Kraska, M. (2002). Occurrence of arsenic, antimony and selenium in surface waters of Drawieński National Park, Polish Journal of Environmental Studies, 11/1, pp. 41–45.
  • [15]. Prestes, E.C., Anjos, V.E, Sodré, F.F. & Grassi, M.T. (2006). Copper, lead and cadmium loads and behavior in urban stormwater runoff in Curitiba, Brazil, Journal of the Brazilian Chemical Society, 17/1. DOI: 10.1590/S0103-50532006000100008.
  • [16]. Simeonov, V., Simeonova, P., Tsakovski, S. & Lovchinov, V. (2010). Lake water monitoring data assessment by multivariate statistics, Journal of Water Resource and Protection, 2, pp. 353–361.
  • [17]. 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(18), pp. 3980–3992.
  • [18]. Singovszka, E. & Balintova, M. (2012). Application factor analysis for the evaluation surface water and sediment quality, Chemical Engineering Transactions, 26, pp. 183–188.
  • [19]. UNESCO (2010). Water Quality and standards Editors: Kubota S. and Tsuchiya Y. EOLSS Publishers.
  • [20]. USEPA (2007). United States Environmental Protection Agency. Aquatic life ambient freshwater quality criteria for copper – 2007 Revision.
  • [21]. WHO (2002): Environmental Health Criteria 227 Fluorides.
  • [22]. WHO (2003a): Boron in drinking-water background document for development of WHO guidelines for drinking-water quality. WHO/SDE/WSH/03.04/54.
  • [23]. WHO (2003b): Chromium in drinking-water background document for development of WHO Guidelines for drinking water quality. Guidelines for drinking-water quality, WHO/SDE/WSH/03.04/04. World Health Organization, Geneva.
  • [24]. WHO (2003c): Iron in drinking-water background document for development of who guidelines for drinking-water quality. WHO/SDE/WSH/03.04/08.
  • [25]. WHO (2011): Arsenic in drinking-water background document for development of WHO guidelines for drinking-water quality. WHO/SDE/WSH/03.04/75/Rev/1.
  • [26]. Voza, D., Vukovic, M., Takic, L., Nikolic, D. & Ranisavljevic, I.M. (2015). Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia, Archives of Environmental Protection, 41/4, pp. 96–103.
  • [27]. Zhang, Q., Li, Z., Zeng, G., Li, J., Fang, Y., Yuan, Q., Wang, Y. & Ye, F. (2009): Assessment of surface water quality using multivariate statistical techniques in red soil hilly region: A case study of Xiangjiang Watershed, China, Environmental Monitoring and Assessment, 152, pp. 123–131.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8dd242fa-c8f7-4514-a5da-007a015dfcdf
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