Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran
Abstract Rivers are critical to agriculture, industry, and the needs of humans and wildlife. This study evaluates the water quality of the Beheshtabad River in Iran’s Chaharmahal and Bakhtiari Province, using water quality index and multivariate statistical methods. Nitrate, temperature, phosphate,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-10-01
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| Series: | Applied Water Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s13201-018-0859-7 |
| _version_ | 1830359395166322688 |
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| author | Ehsan Fathi Rasool Zamani-Ahmadmahmoodi Rafat Zare-Bidaki |
| author_facet | Ehsan Fathi Rasool Zamani-Ahmadmahmoodi Rafat Zare-Bidaki |
| author_sort | Ehsan Fathi |
| collection | DOAJ |
| description | Abstract Rivers are critical to agriculture, industry, and the needs of humans and wildlife. This study evaluates the water quality of the Beheshtabad River in Iran’s Chaharmahal and Bakhtiari Province, using water quality index and multivariate statistical methods. Nitrate, temperature, phosphate, turbidity, dissolved oxygen, biological oxygen demand, electrical conductivity, total solids, and pH were measured at five selected stations along the river over 6 months using standard methods. Water quality index results demonstrated that water quality varied in the selected stations between average and good and that pollution in this section of the Beheshtabad River increases from upstream to downstream. Clustering and principal component analysis were also utilized. Multivariate statistical methods were used to analyze water conditions for efficient management of surface water quality. Agricultural fertilizers, upstream wastewater discharge, and fish farms constitute the main elements that decrease the water quality of the Beheshtabad River. To preserve this water resource against pollution, the implementation of stringent rules and guidelines are needed to enhance health and preserve water resources for future generations. |
| first_indexed | 2024-12-20T02:59:13Z |
| format | Article |
| id | doaj.art-87e26665e7874bc6a7968802b46a049b |
| institution | Directory Open Access Journal |
| issn | 2190-5487 2190-5495 |
| language | English |
| last_indexed | 2024-12-20T02:59:13Z |
| publishDate | 2018-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Water Science |
| spelling | doaj.art-87e26665e7874bc6a7968802b46a049b2022-12-21T19:55:49ZengSpringerOpenApplied Water Science2190-54872190-54952018-10-01871610.1007/s13201-018-0859-7Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, IranEhsan Fathi0Rasool Zamani-Ahmadmahmoodi1Rafat Zare-Bidaki2Department of Rangeland and Watershed Management, Faculty of Natural Resources and Earth Science, Shahrekord UniversityDepartment of Fisheries and Environmental Sciences, Faculty of Natural Resources and Earth Science, Shahrekord UniversityDepartment of Rangeland and Watershed Management, Faculty of Natural Resources and Earth Science, Shahrekord UniversityAbstract Rivers are critical to agriculture, industry, and the needs of humans and wildlife. This study evaluates the water quality of the Beheshtabad River in Iran’s Chaharmahal and Bakhtiari Province, using water quality index and multivariate statistical methods. Nitrate, temperature, phosphate, turbidity, dissolved oxygen, biological oxygen demand, electrical conductivity, total solids, and pH were measured at five selected stations along the river over 6 months using standard methods. Water quality index results demonstrated that water quality varied in the selected stations between average and good and that pollution in this section of the Beheshtabad River increases from upstream to downstream. Clustering and principal component analysis were also utilized. Multivariate statistical methods were used to analyze water conditions for efficient management of surface water quality. Agricultural fertilizers, upstream wastewater discharge, and fish farms constitute the main elements that decrease the water quality of the Beheshtabad River. To preserve this water resource against pollution, the implementation of stringent rules and guidelines are needed to enhance health and preserve water resources for future generations.http://link.springer.com/article/10.1007/s13201-018-0859-7Water quality indexMultivariate statistical methodsBeheshtabad RiverChaharmahal and Bakhtiari ProvinceIran |
| spellingShingle | Ehsan Fathi Rasool Zamani-Ahmadmahmoodi Rafat Zare-Bidaki Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran Applied Water Science Water quality index Multivariate statistical methods Beheshtabad River Chaharmahal and Bakhtiari Province Iran |
| title | Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran |
| title_full | Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran |
| title_fullStr | Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran |
| title_full_unstemmed | Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran |
| title_short | Water quality evaluation using water quality index and multivariate methods, Beheshtabad River, Iran |
| title_sort | water quality evaluation using water quality index and multivariate methods beheshtabad river iran |
| topic | Water quality index Multivariate statistical methods Beheshtabad River Chaharmahal and Bakhtiari Province Iran |
| url | http://link.springer.com/article/10.1007/s13201-018-0859-7 |
| work_keys_str_mv | AT ehsanfathi waterqualityevaluationusingwaterqualityindexandmultivariatemethodsbeheshtabadriveriran AT rasoolzamaniahmadmahmoodi waterqualityevaluationusingwaterqualityindexandmultivariatemethodsbeheshtabadriveriran AT rafatzarebidaki waterqualityevaluationusingwaterqualityindexandmultivariatemethodsbeheshtabadriveriran |