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Abstrakty
This study illustrates the benefits of statistical techniques to analyze spatial and temporal variations in water quality. In this scope water quality differentiation caused by anthropogenic and natural factors in the Tahtali and Balçova reservoirs in western Turkey was investigated using discriminant analysis-DA, Mann Whitney U techniques. Effectiveness of pollution prevention measures was analyzed by Mann Kendall and Sen’s Slope estimator methods. The water quality variables were divided into three groups as physical-inorganic, organic and inorganic pollution parameters for the study. Results showed that water quality between reservoirs was differentiated for “physical-inorganic” and “organic pollution” parameters. Degree of influence of water quality by urbanization was higher in the Tahtali reservoir and in general, no trend detection at pollution indicators explained by effective management practices at both sites.
Czasopismo
Rocznik
Tom
Strony
41--50
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
autor
- Dokuz Eylül University, Department of Environmental Engineering, Tinaztepe Campus Buca, 35160 Izmir, Turkey
Bibliografia
- [1] Alkarkhi, A.F.M., Ahmad, A., Ismail, N., Easa, A. & Omar, K. (2008). Assessment of surface water through multivariate analysis, Journal of Sustainable Development, 1, 3 27-33.
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- [3] Boyacioglu, H. & Boyacioglu, H. (2008). Investigation of temporal trends in hydrochemical quality of surface water in Western Turkey, Bulletin of Environmental Contamination and Toxicology, 80, 469-474.
- [4] Brauner, J.S. (2012). Non-parametric estimation of Slope: Sen’s method in environmental pollution. Environmental sampling and monitoring primer, accessed on 25 june 2012 from http://www.webapps. cee.vt.edu/ewr/environmental/teach/smprimer/sen/sen.html.
- [5] Caliskan, A. (2008). Modelling of hydrodynamics and sedimentation in a stratifi ed reservoir: Tahtali Reservoir, Izmir, Master thesis, The Graduate School of Engineering and Sciences of Izmir Institute of Technology 2008.
- [6] Feng, H., Han, X.F., Zhang, W.G. & Yu, L.Z. (2004). A preliminary study of heavy metal contamination in Yangtze River intertidal zone due to urbanization, Marine Pollution Bulletin, 49, 910-915.
- [7] Fisher, D.S., Steiner, J.L., Endale, D.M., Stuedemann, J.A., Schomberg, H.H., Franzluebbers, A.J. & Wilkinson, S.R. (2000). The relationship of land use practices to surface water quality in the Upper Oconee Watershed of Georgia, Forest Ecology and Management, 128, 39-48.
- [8] Hirsch, R.M., Alexander, R.B. & Smith, R.A. (1991). Selection of methods for the detection and estimation of trends in water quality, Water Resources Research, 27, 5, 803-813.
- [9] Karadas, D. & Elci, A. (2009). Modeling of the Izmir-Tahtali Lake buffer zones supported by GIS in terms of groundwater contaminant. Proceedings of Congress on Geographical Information Systems. 2009. Organised by Union of Chambers of Turkish Engineers and Architects.
- [10] LeBlanc, R.T., Brown, R.D. & Fitz Gibbon, J.E. (1997). Modeling the effects of land use change on the water temperature in unregulated urban streams, Journal of Environmental Management, 49, 445-469.
- [11] Ouyang, T., Zhu, Z., Kuang, Y. (2006). Assessing impact of urbanization on river water quality in the Pearl River Delta Economic Zone, China, Environmental Monitoring and Assessment, 120, 1-3, 313-325.
- [12] Pejman, A.H., Nabi Bidhendi, G.R., Karbassi, A.R., Mehrdadi, N. & Esmaeili Bidhendi, M. (2009). Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques, International Journal of Environmental Science and Technology, 6, 3, 467-476.
- [13] Ren, W.W., Zhong, Y., Meligrana, J., Anderson, B., Watt, W.E., Chen, J.K. & Leung Hok-Lin. (2003), Urbanization, land use, and water quality in Shanghai 1947-1996, Environment International, 29, 649-659.
- [14] Rômkens, P.F.A.M. (2002). Contribution of agriculture to the heavy metal loads of Dutch surface waters, Agricultural Effects on Ground and Surface Waters: Research at the Edge of Science and Society, Proceedings of a symposium held at Wageningen, October 2000, IAHS Publ. no. 273.
- [15] 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 & Software, 22, 464-475.
- [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, 353-361.
- [17] Singh, K.P., Amalik, A. & Singh, V.K. (2006). Chemometric analysis of hydro-chemical data of an alluvial river: A case study, Water Air & Soil Pollution, 170, 1-4, 383-404.
- [18] Sojka, M., Slepak, M., Ziola, A., Frankowski, M., Blazejewska, S.M. & Siepak, J. (2008). Application of multivariate statistical techniques to evaluation of water quality in the Mala Welna River (Western Poland), Environmental Monitoring and Assessment, 147, 1-3, 159-170.
- [19] State Hydraulic Works, (2012), Balcova Reservoir, http://www.dsi.gov.tr (16.06.2012).
- [20] Steele, M. & Aitkenhead-Peterson, J.A. (2010). Long-term sodium and chloride surface water exports from a humid subtropical urban gradient, American Geophysical Union, Fall Meeting 2010, abstract #B43A-0447.
- [21] Su, S., Zhi, J., Lou, L., Huang, F., Chen, X., Wu, J., (2010). Spatio-temporal patterns and source apportionment of pollution in Qiantang River (China) using neural-based modeling and multivariate statistical techniques, Physics and Chemistry of the Earth, Parts A/B/C (in press).
- [22] Tang, Z., Engel, B.A., Pijanowski, B.C. & Lim, K.J. (2005). Forecasting land use change and its environmental impact at a watershed scale, Journal of Environmental Management, 76, 35-45.
- [23] USEPA, (2000), United States Environmental Protection Agency. Nutrient Criteris Technical Guidance Manual. Rivers and streams. EPA-822-B-00-002.
- [24] Wang, J., Da, L., Song, K. & Li, B.L. (2008). Temporal variations of surface water quality in urban, suburban and rural areas during rapid urbanization in Shanghai, China, Environmental Pollution, 152, 387-393.
- [25] Yin, Z.Y., Walcott, S., Kaplan, B., Cao, J., Lin, W.Q., Chen, M.J., Liu, D.S. & Ning, Y.M. (2005), An analysis of the relationship between spatial patterns of water quality and urban development in Shanghai, China, Computers. Environment and Urban Systems, 29, 197-221.
- [26] Yue, S., Pilon, P. & Cavadias, G. (2002). Power of the Mann-Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series, Journal of Hydrology, 259, 1-4, 254-271.
- [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, 123-131.
- [28] Zhao, J., Fu, G., Lei, K. & Li, Y. (2011). Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management, Journal of Environmental Sciences, 23, 9, 1460-1471.
- [29] Zhou, F., Liu, Y. & Guo, H. (2007). Application of multivariate statistical methods to water quality assessment of the watercourses in Northwestern New Territories, Hong Kong, Environmental Monitoring and Assessment, 132, 1-3, 1-13.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e0433194-13f9-4781-a76c-e06e3916c887