Use of water quality index and multivariate statistical methods for the evaluation of water quality of a stream affected by multiple stressors: A case study

dc.authorid0000-0001-6475-0570en_US
dc.contributor.authorVarol, Memet
dc.date.accessioned2021-09-02T17:43:57Z
dc.date.available2021-09-02T17:43:57Z
dc.date.issued2020en_US
dc.departmentMTÖ Üniversitesi, Doğanşehir Vahap Küçük Meslek Yüksekokulu, Su Ürünleri Bölümüen_US
dc.description.abstractTherefore, water quality of the stream is of great importance. In this study, multivariate statistical techniques (MSTs) and water quality index (WQI) were applied to assess water quality of the stream affected by multiple stressors such as untreated domestic sewage, effluents from fish farms, agricultural runoff and streambank erosion. For this, 16 water quality parameters at five sites along the stream were monitored monthly during one year. Most of parameters showed significant spatial variations, indicating the influence of anthropogenic activities. All parameters except TN (total nitrogen) showed significant seasonal differences due to high seasonality in WT (water temperature) and water flow. The spatial variations in the WQI were significant (p < 0.05) and the mean WQI values ranged from 87.6 to 95.3, indicating “good” to “excellent” water quality in the stream. Cluster analysis classified five sites into three groups, that is, clean region, low polluted region and very clean region. Stepwise temporal discriminant analysis (DA) identified that pH, WT, Cl?, SO42?, COD (chemical oxygen demand), TSS (total suspended solids) and Ca2+ are the parameters responsible for variations between seasons, and stepwise spatial DA identified that DO (dissolved oxygen), EC (electrical conductivity), NH4–N, TN (total nitrogen) and TSS are the parameters responsible for variations between the regions. Principal component analysis/factor analysis revealed that the parameters responsible for water quality variations were mainly associated with suspended solids (both natural and anthropogenic), soluble salts (natural) and nutrients and organic matter (anthropogenic).en_US
dc.identifier.citationVarol, M. (2020). Use of water quality index and multivariate statistical methods for the evaluation of water quality of a stream affected by multiple stressors: A case study. Environmental Pollution, 266, 115417.en_US
dc.identifier.doi10.1016/j.envpol.2020.115417
dc.identifier.endpage10en_US
dc.identifier.issn0269-7491en_US
dc.identifier.issn1873-6424en_US
dc.identifier.pmid32823067
dc.identifier.scopus2-s2.0-85089551593en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1016/j.envpol.2020.115417
dc.identifier.urihttps://hdl.handle.net/20.500.12899/382
dc.identifier.volume266en_US
dc.identifier.wosWOS:000572418200005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorVarol, Memet
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnvironmental Pollutionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWater quality indexen_US
dc.subjectMultivariate analysisen_US
dc.subjectMultiple stressorsen_US
dc.subjectWater quality assessmenten_US
dc.subjectStream monitoringen_US
dc.subjectWater resources managementen_US
dc.titleUse of water quality index and multivariate statistical methods for the evaluation of water quality of a stream affected by multiple stressors: A case studyen_US
dc.typeArticleen_US

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