Spatial and temporal variations in surface water quality of the dam reservoirs in the Tigris River basin, Turkey

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dc.contributor.authorVarol, Memet
dc.contributor.authorGokot, Bulent
dc.contributor.authorBekleyen, Aysel
dc.contributor.authorSen, Bulent
dc.date.accessioned2024-04-24T16:11:00Z
dc.date.available2024-04-24T16:11:00Z
dc.date.issued2012
dc.departmentDicle Üniversitesien_US
dc.description.abstractMultivariate statistical techniques, such as cluster analysis (CA), principal component analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were applied to evaluate the temporal/spatial variations of water quality data sets for Kralkizi, Dicle and Batman dam reservoirs in the Tigris River basin, obtained during 1 year (2008-2009) of monitoring. This study highlights the usefulness of multivariate statistical techniques for the evaluation and interpretation of complex water quality data sets, apportionment of pollution sources/factors and the design of a monitoring network for the effective management of water resources. Hierarchical CA grouped 12 months into two clusters (wet and dry seasons) and classified ten monitoring sites into four clusters based on similarities in the water quality characteristics. PCA/FA identified five factors in the data structure that explained 80% of the total variance of the data set. The PCA/FA grouped the selected parameters according to common features to help evaluate the influence of each group on the overall variation in water quality. Discriminant analysis showed better results for data reduction and pattern recognition during both spatial and temporal analysis. Temporal DA revealed nine parameters (water temperature, dissolved oxygen, total alkalinity, total hardness, nitrate nitrogen, ammonia nitrogen, total phosphorus, chloride and calcium), affording 100% correct assignations. Spatial DA revealed eight parameters (water temperature, pH, dissolved oxygen, electrical conductivity, nitrate nitrogen, orthophosphate phosphorus, sodium and total suspended solids), affording 92.5% correct assignations. Therefore, DA allowed a reduction in the dimensionality of the large data set and indicated a few significant parameters responsible for large variations in water quality that could reduce the number of sampling parameters. (C) 2011 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipScientific & Technological Research Council of Turkey (TUBITAK) [107Y216]en_US
dc.description.sponsorshipThe present study was part of a research project funded by The Scientific & Technological Research Council of Turkey (TUBITAK, project no. 107Y216). We gratefully acknowledge Ahmet Bezaroglu for his assistance with the fieldwork. We also thank Dr. Lewis A. Owen for his interest in our paper and for his comments.en_US
dc.identifier.doi10.1016/j.catena.2011.11.013
dc.identifier.endpage21en_US
dc.identifier.issn0341-8162
dc.identifier.issn1872-6887
dc.identifier.scopus2-s2.0-84455200670
dc.identifier.scopusqualityQ1
dc.identifier.startpage11en_US
dc.identifier.urihttps://doi.org/10.1016/j.catena.2011.11.013
dc.identifier.urihttps://hdl.handle.net/11468/15225
dc.identifier.volume92en_US
dc.identifier.wosWOS:000301876300002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofCatena
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHydrochemistryen_US
dc.subjectInland Water Resourcesen_US
dc.subjectMultivariate Statistical Techniquesen_US
dc.subjectWater Pollutionen_US
dc.subjectMonitoringen_US
dc.titleSpatial and temporal variations in surface water quality of the dam reservoirs in the Tigris River basin, Turkeyen_US
dc.titleSpatial and temporal variations in surface water quality of the dam reservoirs in the Tigris River basin, Turkey
dc.typeArticleen_US

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