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Water Quality Index (WQI) Prediction System

C. SENTHIL KUMARAN, MCA., (Ph.D)

(Dean & Head, Associate Professor, Department of Computer Applications)

F. PRAVEEN KUMAR, MCA.,

Christ College of Engineering and Technology

Moolakulam, Oulgaret Municipality, Puducherry – 605010

Abstract

Access to clean and safe water is a fundamental requirement for human health, economic development, and environmental protection [1][2]. In recent years, rapid population growth, expanding industrial activities, and large-scale agricultural practices have imposed excessive stress on natural water resources, leading to serious deterioration of surface water and groundwater quality in many regions [3][4]. Polluted water sources contribute to the spread of water-borne diseases and cause long-term damage to aquatic ecosystems, making water quality assessment an urgent global concern [5].

This study introduces a Water Quality Index (WQI)–based evaluation approach for determining the overall status of water quality by combining multiple physicochemical parameters, including pH, turbidity, total dissolved solids, hardness, chlorides, and dissolved oxygen [6][7]. Each parameter is assigned a weight according to its relative impact on human health and environmental stability. The weighted values are standardized and mathematically combined to obtain a single WQI score [8][9]. Based on this score, water samples are classified into quality categories such as excellent, good, poor, very poor, and unsuitable for drinking [10]. The proposed framework provides a systematic, reliable, and user-friendly method that supports environmental monitoring and evidence-based policy decisions [11][12].

Index Terms

Water Quality Index, Drinking Water Safety, Environmental Assessment, Physicochemical Analysis, Water Resource Management