ASSESSING THE GROUNDWATER QUALITY USING SPATIAL FUZZY LOGIC MODEL IN ISLAMABAD

Abstract

Groundwater quality assessment is vital for assuring the supply of clean drinking water. Traditional assessment approaches frequently rely on hard classification procedures, which might be constrained when dealing with uncertainty and imprecision. This study employs fuzzy logic to evaluate the quality of groundwater. The approach evaluates numerous factors, such as pH, turbidity, Total Dissolved Solids (TDS) and nitrate concentration, and integrates language elements to reflect expert knowledge. In this paper, a fuzzy inference system is built to evaluate the overall groundwater quality, considering the numerous metrics and their relative relevance. The strategy attempts to provide an accurate and thorough analysis of groundwater quality and highlight any probable pollution hazards. The membership functions for input are categorized into “Desirable”, “Acceptable”, and “Unacceptable”, utilizing both experts’ expertise and the restrictions specified by the World Health Organization (WHO). This study also uses the GIS to evaluate the groundwater quality. IDW is used for that method that takes up the nearest points to assess the unknown points. The spatial variation maps are made to display the parameters. This study will detail the system’s construction and execution, along with the experimental outcomes that will illustrate how the fuzzy logic method is efficient. The results will provide useful insights into the possibilities of fuzzy logic in addressing groundwater quality issues and improving water management methods. In the end, Fuzzy logic will tell us the uncertainties present in the data.