Literature DB >> 22170845

Evolution of a new surface water quality index for Karoon catchment in Iran.

F Babaei Semiromi1, A H Hassani, A Torabian, A R Karbassi, F Hosseinzadeh Lotfi.   

Abstract

Water quality standards are developed worldwide by national and international agencies for pollution control decision-making. Use-based water quality classification criteria and Water Quality Indices (WQIs) also play an important role in the assessment of the suitability of water resources for various applications. The present study proposes a better overall index for water quality in Iran and its application in Karoon River by exploring the behavior and limitations of conventional methods for quality evaluation. For this purpose, six variables were employed. Water quality determinants of the new index include Dissolved Oxygen, Total Dissolved Solids, Turbidity, Nitrate, Fecal coliform and pH. Besides, the mathematical equations applied to transform the actual concentration values into quality indices have been formulated. This study compares a new index called the Iranian Water Quality Index with other pre-existing indices such as NSFWQI, Oregon, CPCB WQI, MDOE WQI, Kaurish and Younos WQI, and Ahmed Said WQI. Results revealed that the overall quality of the surface water falls under the 'good' class. A case study of Karoon River is made to illustrate the application of this new index system.

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Year:  2011        PMID: 22170845     DOI: 10.2166/wst.2011.780

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  3 in total

1.  Dynamic water quality evaluation based on fuzzy matter-element model and functional data analysis, a case study in Poyang Lake.

Authors:  Bing Li; Guishan Yang; Rongrong Wan; Georg Hörmann
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-28       Impact factor: 4.223

2.  Assessment of spatiotemporal variations in river water quality for sustainable environmental and recreational management in the highly urbanized Danshui River basin.

Authors:  Shih-Kai Chen; Cheng-Shin Jang; Chia-Yu Chou
Journal:  Environ Monit Assess       Date:  2019-01-25       Impact factor: 2.513

3.  Application of multivariate statistical methods and water-quality index to evaluation of water quality in the Kashkan River.

Authors:  Abazar Mostafaei
Journal:  Environ Manage       Date:  2014-02-08       Impact factor: 3.266

  3 in total

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