PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
10.21203/rs.3.rs-160152/v120212021Surface water quality assessment using hybrid multivariate statistical analysis and geographic information system based on integrated water quality index model for Maozhou River Basin, Guangdong, ChinaTao Lin, Huiqing Yu, Qi Wang, Lin Hu, Jing Yinhttps://www.researchsquare.com/article/rs-160152/v1, https://www.researchsquare.com/article/rs-160152/v1.html
Environmental Monitoring and Assessment10.1007/s10661-019-7281-y201920193Assessment of spatial variations in the surface water quality of the Velhas River Basin, Brazil, using multivariate statistical analysis and nonparametric statisticsCarolina Cristiane Pinto, Giovanna Moura Calazans, Sílvia Corrêa Oliveirahttp://link.springer.com/content/pdf/10.1007/s10661-019-7281-y.pdf, http://link.springer.com/article/10.1007/s10661-019-7281-y/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10661-019-7281-y.pdf
Environmental Modelling & Software10.1016/j.envsoft.2006.02.001200720074464-475Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, JapanS. Shrestha, F. Kazamahttps://api.elsevier.com/content/article/PII:S136481520600048X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S136481520600048X?httpAccept=text/plain
River Research and Applications10.1002/rra.15332011201191428-1438WATER QUALITY ASSESSMENT AND APPORTIONMENT OF POLLUTION SOURCES OF TIGRIS RIVER (TURKEY) USING MULTIVARIATE STATISTICAL TECHNIQUES-A CASE STUDYM. Varol, B. Gökot, A. Bekleyen, B. Şenhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Frra.1533, https://onlinelibrary.wiley.com/doi/full/10.1002/rra.1533
Environmental Monitoring and Assessment10.1007/s10661-008-0300-z200820081-4105-121Water quality assessment and source identification of Daliao river basin using multivariate statistical methodsYuan Zhang, Fen Guo, Wei Meng, Xi-Qin Wanghttp://link.springer.com/content/pdf/10.1007/s10661-008-0300-z.pdf, http://link.springer.com/article/10.1007/s10661-008-0300-z/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10661-008-0300-z
Environmental Monitoring and Assessment10.1007/s10661-015-4904-92015201511An assessment of water quality in the Coruh Basin (Turkey) using multivariate statistical techniquesAyla Bilginhttp://link.springer.com/content/pdf/10.1007/s10661-015-4904-9.pdf, http://link.springer.com/article/10.1007/s10661-015-4904-9/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10661-015-4904-9
Applied Water Science10.1007/s13201-019-1045-2201920197Water quality assessment of a tropical river using water quality index (WQI), multivariate statistical techniques and GISSanjoy Shil, Umesh Kumar Singh, Pankaj Mehtahttp://link.springer.com/content/pdf/10.1007/s13201-019-1045-2.pdf, http://link.springer.com/article/10.1007/s13201-019-1045-2/fulltext.html, http://link.springer.com/content/pdf/10.1007/s13201-019-1045-2.pdf
Water10.3390/w1210276420202020102764Spatiotemporal Analysis of Water Quality Using Multivariate Statistical Techniques and the Water Quality Identification Index for the Qinhuai River Basin, East ChinaXiaoxue Ma, Lachun Wang, Hong Yang, Na Li, Chang Gonghttps://www.mdpi.com/2073-4441/12/10/2764/pdf
Environmental Monitoring and Assessment10.1007/s10661-015-4774-1201520159Assessment of surface water quality using multivariate statistical techniques: case study of the Nampong River and Songkhram River, ThailandSomphinith Muangthong, Sangam Shresthahttp://link.springer.com/content/pdf/10.1007/s10661-015-4774-1.pdf, http://link.springer.com/article/10.1007/s10661-015-4774-1/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10661-015-4774-1
Urban Ecology, Water Quality and Climate Change10.1007/978-3-319-74494-0_1820182018227-253Assessment of Water Quality Using Multivariate Statistical Analysis in the Gharaso River, Northern IranYones Khaledian, Soheila Ebrahimi, Usha Natesan, Nabee Basatnia, Behroz Behtari Nejad, Hamed Bagmohammadi, Mojtaba Zeraatpishehhttp://link.springer.com/content/pdf/10.1007/978-3-319-74494-0_18