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Assessment of surface water quality using multivariate statistical techniques: a case study of Behrimaz Stream, Turkey

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Abstract

Multivariate statistical techniques, such as cluster analysis (CA), principal component analysis, and factor analysis, were applied for the evaluation of temporal/spatial variations and for the interpretation of a water quality data set of the Behrimaz Stream, obtained during 1 year of monitoring of 20 parameters at four different sites. Hierarchical CA grouped 12 months into two periods (the first and second periods) and classified four monitoring sites into two groups (group A and group B), i.e., relatively less polluted (LP) and medium polluted (MP) sites, based on similarities of water quality characteristics. Factor analysis/principal component analysis, applied to the data sets of the two different groups obtained from cluster analysis, resulted in five latent factors amounting to 88.32% and 88.93% of the total variance in water quality data sets of LP and MP areas, respectively. Varifactors obtained from factor analysis indicate that the parameters responsible for water quality variations are mainly related to discharge, temperature, and soluble minerals (natural) and nutrients (nonpoint sources: agricultural activities) in relatively less polluted areas; and organic pollution (point source: domestic wastewater) and nutrients (nonpoint sources: agricultural activities and surface runoff from villages) in medium polluted areas in the basin. Thus, this study illustrates the utility of multivariate statistical techniques for analysis and interpretation of data sets and, in water quality assessment, identification of pollution sources/factors and understanding temporal/spatial variations in water quality for effective stream water quality management.

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References

  • APHA (1995). Standard methods for the examination of water and waste water. Washington, DC: American Public Health Association.

  • Brumelis, G., Lapina, L., Nikodemus, O., & Tabors, G. (2000). Use of an artificial model of monitoring data to aid interpretation of principal component analysis. Environmental Modelling & Software, 15(8), 755–763. doi:10.1016/S1364-8152(00)00060-8.

    Article  Google Scholar 

  • 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. doi:10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2.

    Article  Google Scholar 

  • Dixon, W., & Chiswell, B. (1996). Review of aquatic monitoring program design. Water Research, 30, 1935–1948. doi:10.1016/0043-1354(96)00087-5.

    Article  CAS  Google Scholar 

  • Fent, K. (2004). Ecotoxicological effects at contaminated sites. Toxicology, 205, 223–240. doi:10.1016/j.tox.2004.06.060.

    Article  CAS  Google Scholar 

  • Guo, H., & Wang, Y. (2004). Hydrogeochemical processes in shallow quaternary aquifers from the northern part of the Datong Basin, China. Applied Geochemistry, 19, 19–27. doi:10.1016/S0883-2927(03)00128-8.

    Article  Google Scholar 

  • Günek, H., & Yiğit, A. (1995). Hydrographic properties of Lake Hazar basin. In Proceedings of I. Lake Hazar and its environment symposium (pp. 91–103). Elazığ.

  • Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, J. M., & Fernandez, L. (2000). Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by principal component analysis. Water Research, 34, 807–816. doi:10.1016/S0043-1354(99)00225-0.

    Article  CAS  Google Scholar 

  • Liu, C. W., Lin, K. H., & Kuo, Y. M. (2003). Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. The Science of the Total Environment, 313, 77–89. doi:10.1016/S0048-9697(02)00683-6.

    Article  CAS  Google Scholar 

  • Love, D., Hallbauer, D., Amos, A., & Hranova, R. (2004). Factor analysis as a tool in groundwater quality management: Two southern African case studies. Physics and Chemistry of the Earth, 29(15–18), 1135–1143.

    Google Scholar 

  • Madramootoo, C. A., Johnston, W. R., & Willardson, L. S. (1997). Management of agricultural drainage water quality: Water Reports 13.

  • Özdemir, M. A. (1995a). Geomorphology of Lake Hazar Basin and formation of Lake. In Proceedings of I. Lake Hazar and its environment symposium (pp. 121–148). Elazığ.

  • Özdemir, M. A. (1995b). Erosion problem in Lake Hazar Basin (Elazığ) and its precautions. In Proceedings of I. Lake Hazar and its environment symposium (pp. 229–243). Elazığ.

  • 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(1–3), 43–59. doi:10.1007/s1066100798464.

    Google Scholar 

  • 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. doi:10.1016/S0043-1354(01)00490-0.

    Article  CAS  Google Scholar 

  • Sarbu, C., & Pop, H. F. (2005). Principal component analysis versus fuzzy principal component analysis. A case study: The quality of Danube water (1985–1996). Talanta, 65, 1215–1220. doi:10.1016/j.talanta.2004.08.047.

    Article  CAS  Google Scholar 

  • 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. doi:10.1016/j.envsoft.2006.02.001.

    Article  Google Scholar 

  • Simeonov, V., Stratis, J. A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., et al. (2003). Assessment of the surface water quality in Northern Greece. Water Research, 37, 4119–4124. doi:10.1016/S0043-1354(03)00398-1.

    Article  CAS  Google Scholar 

  • Simeonova, P., Simeonov, V., & Andreev, G. (2003). Water quality study of the Struma River Basin, Bulgaria (1989–1998). Central European Journal of Chemistry, 1, 136–212. doi:10.2478/BF02479264.

    Article  Google Scholar 

  • 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. doi:10.1016/j.watres.2004.06.011.

    Article  CAS  Google Scholar 

  • Singh, K. P., Malik, A., & Sinha, S. (2005). Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques—A case study. Analytica Chimica Acta, 538, 355–374. doi:10.1016/j.aca.2005.02.006.

    Article  CAS  Google Scholar 

  • Şen, B., Koçer, M. A. T., & Alp, M. T. (2002). Some physical and chemical properties of running waters flowing into the Lake Hazar. Science and Engineering Journal of Firat University, 14(1), 241–248.

    Google Scholar 

  • Vega, M., Pardo, R., Barrado, E., & Deban, L. (1998). Assessment of seasonal and polluting effects on the qualityof river water by exploratory data analysis. Water Research, 32, 3581–3592. doi:10.1016/S0043-1354(98)00138-9.

    Article  CAS  Google Scholar 

  • 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. doi:10.1016/S0043-1354(00)00592-3.

    Article  CAS  Google Scholar 

  • Yiğit, A., & Çitçi, M. D. (1995). Agricultural activities in Lake Hazar and Behrimaz Watersheds. In Proceedings of I. Lake Hazar and its environment symposium (pp. 153–165). Elazığ.

  • Zhou, F., Liu, Y., & Guo, H. C. (2007). Application of multivariate. statistical methods to the water quality assessment of the. watercourses in the northwestern New Territories, Hong Kong. Environmental Monitoring and Assessment. 132(1–3), 1–13. doi:10.1007/s106610069497x.

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Ministry of Agriculture and Rural Affairs, Province Control Laboratory, 21010, Diyarbakir, Turkey

    Memet Varol

  2. Faculty of Aquaculture, Department of Basic Aquatic Sciences, Fýrat (Euphrates) University, Elazığ, Turkey

    Bülent Şen

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  1. Memet Varol
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  2. Bülent Şen
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Correspondence to Memet Varol.

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Varol, M., Şen, B. Assessment of surface water quality using multivariate statistical techniques: a case study of Behrimaz Stream, Turkey. Environ Monit Assess 159, 543–553 (2009). https://doi.org/10.1007/s10661-008-0650-6

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  • DOI: https://doi.org/10.1007/s10661-008-0650-6

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