Supervise the physicochemical quality of ground water using soft computing technique

ABSTRACT

Water resources are essential for human beings and nowadays polluted water jeopardizes the human health. Toxic substances come from houses, industries and farm lands, dust mix with water causes water pollution. This pollution depreciates the quality of water and affects the human life. In this paper, our objective is to evaluate and supervise the physicochemical quality of the ground water, for the safety of human beings. The sample quality of 15 sites was used for measuring important parameters like pH, EC, Ca2+, Mg2+, Na+, K+, Cl−, SO42−, Also, NH4+ and NO3−, Fe2+ and HCO3−12 were considered for performance analysis. A soft computing component fuzzy logic system is used to design an intelligent system. The fuzzy logic system-based model measures groundwater quality status along with its sustainability. The results obtained from the model help the authorities, policy makers to plan proper policies for geochemical operation (water treatment process) and a foundation for observing the physicochemical quality of water in the area.

GRAPHICAL ABSTRACT

KEYWORDS:

• Fuzzy logic system
• groundwater
• soft computing techniques
• intelligent system
• Water Treatment Process

Acknowledgements

The authors extend their appreciation to the deputyship for Research & innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number (lFP-2020- 16).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Ministry of Education in Saudi Arabia: [grant number lFP-2020- 16].