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Supervise the physicochemical quality of ground water using soft computing technique
Sunil Kumar Sharma1, Vivek Sharma2, Hassan Ibrahim Mohamed3
1Department of Information Technology, College of Computer and Information Science Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.
Environmental Technology
|September 18, 2021
Summary
This study assessed groundwater physicochemical quality using a fuzzy logic system. The intelligent model evaluates water safety and sustainability, aiding policymakers in water treatment and quality monitoring efforts.
Area of Science:
- Environmental Science
- Water Resource Management
- Applied Chemistry
Background:
- Water resources are vital for human survival, but pollution from domestic, industrial, and agricultural sources threatens public health.
- Contaminated water degrades quality and adversely impacts human life, necessitating robust monitoring and management strategies.
Purpose of the Study:
- To evaluate and supervise the physicochemical quality of groundwater for human safety.
- To develop an intelligent system for assessing groundwater quality status and sustainability.
Main Methods:
- Analysis of physicochemical parameters (pH, EC, Ca2+, Mg2+, Na+, K+, Cl-, SO42-, NH4+, NO3-, Fe2+, HCO3-) from 15 groundwater sites.
- Implementation of a soft computing fuzzy logic system to create an intelligent groundwater quality assessment model.
Main Results:
- The fuzzy logic system effectively measures groundwater quality status.
- The model provides insights into the sustainability of groundwater resources.
- Results offer a basis for geochemical operations and ongoing water quality surveillance.
Conclusions:
- The developed fuzzy logic model is a valuable tool for assessing and managing groundwater quality.
- Findings support authorities and policymakers in planning effective water treatment processes and monitoring programs.
- Ensuring safe and sustainable groundwater resources is crucial for protecting human health.
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