Vulnerability assessment of surface water quality with an innovative integrated multi-parameter water quality index (IMWQI)

Authors

  • AK Kamal Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh
  • Masaaki Kurasaki Graduate School of Environmental Science, Hokkaido University, Sapporo, Japan
  • Mashura Shammi Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh
  • Md. Sikder 1Graduate School of Environmental Science, Hokkaido University, Sapporo, Japan; 2 Department of Public Health and Informatics, Jahangirnagar University, Dhaka, Bangladesh
  • Md. Uddin Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh
  • Shafi Tareq Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh
  • Shunitz Tanaka Graduate School of Environmental Science, Hokkaido University, Sapporo, Japan
  • Sulmin Gumiri Agricultural Faculty of the University of Palangka Raya, Palangka Raya, Indonesia
  • Takeshi Saito Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
Abstract:

The development of a surface water evaluation index is a critical factor in the assessment, restoration and protection of stream water quality. Quantifying water pollution in specific grade using dominant parameters is important, as this can explain the current state of water pollution with accuracy. As a result, an integrated multi-parameter water quality index has been developed. It is based on the 10 most prevailing parameters (pH, conductivity, nitrate ions, phosphate ions, Escherichia coli number, cadmium, chromium, lead, copper and manganese) with a scale of 1 to 4, wherein the grades are classified into 1: good; 1.1-1.5: slightly polluted; 1.6-2.0: moderately polluted; 2.1-2.9: heavily polluted and 3.0-4.0: gravely polluted. The measuring stick used was according to the 2011 background values of the World Health Organization (WHO) in which a value of 0.1 was attributed for each, so that the final grade can be calculated. Water quality data were successfully fitted in an integrated multi-parameter water quality index to measure the river water level of pollution, and effectively represented every water bodies. This innovative index is able to quantify pollution with respect to seasons, geography and geomorphology of the respective rivers. Although operative, this index still lacks scientific integrity and as such, more synoptic experiments in the rivers of developing countries are recommended to attain a pragmatic feature.

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Journal title

volume 1  issue 3

pages  333- 346

publication date 2015-07-01

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