Literature DB >> 28147293

Evaluation of water quality using water quality index (WQI) method and GIS in Aksu River (SW-Turkey).

Şehnaz Şener1, Erhan Şener2, Ayşen Davraz3.   

Abstract

The aim of this study is evaluate water quality of the Aksu River, the main river recharging the Karacaören-1 Dam Lake and flowing approximately 145km from Isparta province to Mediterranean. Due to plan for obtaining drinking water from the Karacaören-1 Dam Lake for Antalya Province, this study has great importance. In this study, physical and chemical analyses of water samples taken from 21 locations (in October 2011 and May 2012, two periods) through flow path of the river were investigated. The analysis results were compared with maximum permissible limit values recommended by World Health Organization and Turkish drinking water standards. The water quality for drinking purpose was evaluated using the water quality index (WQI) method. The computed WQI values are between 35.6133 and 337.5198 in the study. The prepared WQI map shows that Karacaören-1 Dam Lake generally has good water quality. However, water quality is poor and very poor in the north and south of the river basin. The effects of punctual and diffuse pollutants dominate the water quality in these regions. Furthermore, the most effective water quality parameters are COD and Mg on the determination of WQI for the present study.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aksu River; Drinking water; GIS; WQI

Year:  2017        PMID: 28147293     DOI: 10.1016/j.scitotenv.2017.01.102

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  22 in total

1.  Evaluation of multiple water quality indices for drinking and irrigation purposes for the Karoon river, Iran.

Authors:  Milad Mirzaei Aminiyan; Jacqueline Aitkenhead-Peterson; Farzad Mirzaei Aminiyan
Journal:  Environ Geochem Health       Date:  2018-06-16       Impact factor: 4.609

2.  Use of water quality index and multivariate statistical techniques for the assessment of spatial variations in water quality of a small river.

Authors:  Smita Dutta; Ajay Dwivedi; M Suresh Kumar
Journal:  Environ Monit Assess       Date:  2018-11-13       Impact factor: 2.513

3.  Hydrochemistry and Water Quality Index of groundwater resources in Enugu north district, Enugu, Nigeria.

Authors:  Nwachukwu R Ekere; Vitus E Agbazue; Benedict U Ngang; Janefrances N Ihedioha
Journal:  Environ Monit Assess       Date:  2019-02-09       Impact factor: 2.513

4.  Application of water quality index, synthetic pollution index, and geospatial tools for the assessment of drinking water quality in the Indus Delta, Pakistan.

Authors:  Ghulam Shabir Solangi; Altaf Ali Siyal; Muhammad Munir Babar; Pirah Siyal
Journal:  Environ Monit Assess       Date:  2019-11-08       Impact factor: 2.513

5.  Evaluation of water quality index and geochemical characteristics of surfacewater from Tawang India.

Authors:  Nisha Gaur; Arpan Sarkar; Dhiraj Dutta; B J Gogoi; Rama Dubey; Sanjai Kumar Dwivedi
Journal:  Sci Rep       Date:  2022-07-09       Impact factor: 4.996

6.  Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality.

Authors:  Adil Masood; Mohammad Aslam; Quoc Bao Pham; Warish Khan; Sarfaraz Masood
Journal:  Environ Sci Pollut Res Int       Date:  2021-12-03       Impact factor: 5.190

7.  A new method for water quality assessment: by harmony degree equation.

Authors:  Qiting Zuo; Chunhui Han; Jing Liu; Junxia Ma
Journal:  Environ Monit Assess       Date:  2018-02-22       Impact factor: 2.513

8.  Water quality assessment based on the water quality index method in Lake Poyang: The largest freshwater lake in China.

Authors:  Zhaoshi Wu; Dawen Zhang; Yongjiu Cai; Xiaolong Wang; Lu Zhang; Yuwei Chen
Journal:  Sci Rep       Date:  2017-12-21       Impact factor: 4.996

9.  Water quality of streams associated with artisanal gold mining; Suárez, Department of Cauca, Colombia.

Authors:  José Antonio Gallo Corredor; Edier Humberto Pérez; Ricardo Figueroa; Apolinar Figueroa Casas
Journal:  Heliyon       Date:  2021-06-05

10.  Evaluation of water quality based on a machine learning algorithm and water quality index for the Ebinur Lake Watershed, China.

Authors:  Xiaoping Wang; Fei Zhang; Jianli Ding
Journal:  Sci Rep       Date:  2017-10-09       Impact factor: 4.379

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