Spatial analysis of Ardabil plain aquifer potable groundwater using fuzzy logic

Abstract

The purpose of this study is to evaluate the quality of drinking water and qualitative classification of potable water in Ardabil plain aquifer. To determine the chemical properties 58 water samples were collected from wells and analyzed. Distribution of each quality parameter was estimated using data driven techniques of kriging and fuzzy logic modeling. According to the obtained results, the fuzzy model provides better results compared to kriging. Different water quality standards are used for assessment of drinking water. The quantitative limits specified in these standards and also water quality data are associated with uncertainty. To reduce the uncertainty a fuzzy based decision making approach was applied for interpretation of groundwater quality. Final output was presented in the form of a zoning map with three categories as ‘Desirable’, ‘Acceptable’ and ‘Not acceptable’. This map indicates that most parts of the aquifer have acceptable and desirable water quality for drinking; but the groundwater in the Southwest and North of the plain, being in conformity with Miocene formations, is undesirable (Not acceptable). This spatial distribution map can help a lot for groundwater supply and offers a good insight of groundwater qualitative trend in this study area.

Keywords

• Potable groundwater
• Qualitative classification
• Kriging
• Fuzzy logic