Prediction of ground water quality index to assess suitability for drinking purposes using fuzzy rule-based approach

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• 作者：A. K. Gorai ; S. A. Hasni ; Jawed Iqbal
• 关键词：Water quality index (WQI) ; Fuzzy aggregation ; Analytical hierarchical process (AHP)
• 刊名：Applied Water Science
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：6
• 期：4
• 页码：393-405
• 全文大小：3,816 KB
• 刊物主题：Hydrogeology; Water Industry/Water Technologies; Industrial and Production Engineering; Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution; Nanotechnology; Private International Law, International & Foreign Law, Comparative Law;
• 出版者：Springer Berlin Heidelberg
• ISSN：2190-5495
• 卷排序：6

文摘

Groundwater is the most important natural resource for drinking water to many people around the world, especially in rural areas where the supply of treated water is not available. Drinking water resources cannot be optimally used and sustained unless the quality of water is properly assessed. To this end, an attempt has been made to develop a suitable methodology for the assessment of drinking water quality on the basis of 11 physico-chemical parameters. The present study aims to select the fuzzy aggregation approach for estimation of the water quality index of a sample to check the suitability for drinking purposes. Based on expert’s opinion and author’s judgement, 11 water quality (pollutant) variables (Alkalinity, Dissolved Solids (DS), Hardness, pH, Ca, Mg, Fe, Fluoride, As, Sulphate, Nitrates) are selected for the quality assessment. The output results of proposed methodology are compared with the output obtained from widely used deterministic method (weighted arithmetic mean aggregation) for the suitability of the developed methodology.