Açık Akademik Arşiv Sistemi

Water Quality Assessment Using Multivariate Statistical Methods-A Case Study: Melen River System (Turkey)

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dc.contributor.authors Koklu, R; Sengorur, B; Topal, B;
dc.date.accessioned 2020-02-26T08:58:01Z
dc.date.available 2020-02-26T08:58:01Z
dc.date.issued 2010
dc.identifier.citation Koklu, R; Sengorur, B; Topal, B; (2010). Water Quality Assessment Using Multivariate Statistical Methods-A Case Study: Melen River System (Turkey). WATER RESOURCES MANAGEMENT, 24, 978-959
dc.identifier.issn 0920-4741
dc.identifier.uri https://doi.org/10.1007/s11269-009-9481-7
dc.identifier.uri https://hdl.handle.net/20.500.12619/50339
dc.description.abstract This study is focused on water quality of Melen River (Turkey) and evaluation of 26 physical and chemical pollution data obtained five monitoring stations during the period 1995-2006. It presents the application of multivariate statistical methods to the data set, namely, principal component and factor analysis (PCA/FA), multiple regression analysis (MRA) and discriminant analysis (DA). The PCA/FA was employed to evaluate the high-low flow periods correlations of water quality parameters, while the principal factor analysis technique was used to extract the parameters that are most important in assessing high-low flow periods variations of river water quality. Latent factors were identified as responsible for data structure explaining 72-97% of the total variance of the each data sets. PCA/FA was supported with multiple regression analysis to determine the most important parameter in each factor. It examines the relation between a single dependent variable and a set of independent variables to best represent the relation in the each factor. Obtained important parameters provided us to determine the major pollution sources in Melen River Basin. So factors are conditionally named soil structure and erosion, domestic, municipal and industrial effluents, agricultural activities (fertilizer, irrigation water and livestock wastes), atmospheric deposition and seasonal effects factors. DA applied the data set to obtain the parameters responsible for temporal and spatial variations. Assessment of high-low flow period changes in surface water quality is an important aspect for evaluating temporal and spatial variations of river pollution. The aim of this study is illustration the usefulness of multivariate statistical analysis for evaluation of complex data sets, in Melen River water quality assessment identification of factors and pollution sources, for effective water quality management determination the spatial and temporal variations in water quality.
dc.language English
dc.publisher SPRINGER
dc.subject Water Resources
dc.title Water Quality Assessment Using Multivariate Statistical Methods-A Case Study: Melen River System (Turkey)
dc.type Article
dc.identifier.volume 24
dc.identifier.startpage 959
dc.identifier.endpage 978
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Çevre Mühendisliği Bölümü
dc.contributor.saüauthor Köklü, Rabia
dc.contributor.saüauthor Şengörür, Bülent
dc.contributor.saüauthor Topal, Bayram
dc.relation.journal WATER RESOURCES MANAGEMENT
dc.identifier.wos WOS:000275453900008
dc.identifier.doi 10.1007/s11269-009-9481-7
dc.contributor.author Köklü, Rabia
dc.contributor.author Şengörür, Bülent
dc.contributor.author Topal, Bayram


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