Analyzing The Prediction of Water Quality Using WQI Values

Rishabh Bakliwal; Priyanka Dubey

Analyzing The Prediction of Water Quality Using WQI Values

October 2021

Vol-7, Issue-5

Paper ID: 15463

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Civil Engineering

Keywords

Prediction Water Quality Modelling Sanitation

Abstract

Artificial intelligence methods can remarkably reduce costs for water supply and sanitation systems and help ensure compliance with the quality of drinking and wastewater treatment. Therefore, modelling and predicting water quality to control water pollution has been widely researched. The novelty of the proposed system is presented to develop an efficient operation of monitoring drinking water to ensure a sustainable and friendly green environment. In this work, the adaptive neuro-fuzzy inference system (ANFIS) algorithm was developed to predict the water quality index (WQI). The dataset has eight significant parameters, but seven parameters were considered to show significant values. The proposed methodology was developed based on these statistical parameters. Prediction results demonstrated that the ANFIS model was superior for the prediction of WQI values.

License

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Author Information

#	Name	Institute / Affiliation
1	Rishabh Bakliwal	M. Tech Scholar in Dr. A.P.J Abdul Kalam University, Indore, Madhya Pradesh, India
2	Priyanka Dubey	Assistant Professor, Department of Civil Engineering in Dr. A.P.J Abdul Kalam University, Indore, Madhya Pradesh, India

How to Cite

Use the following formats to cite this article in your research.

APA Style

Bakliwal, Rishabh & Dubey, Priyanka (2021). Analyzing The Prediction of Water Quality Using WQI Values. International Journal of Advance Research and Innovative Ideas In Education, 7(5), 1116-1122.

MLA Style

Bakliwal, Rishabh, and Priyanka Dubey. "Analyzing The Prediction of Water Quality Using WQI Values." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 5, 2021, pp. 1116-1122.

IEEE Style

Rishabh Bakliwal and Priyanka Dubey, "Analyzing The Prediction of Water Quality Using WQI Values," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 5, pp. 1116-1122, 2021.

Vancouver Style

Bakliwal Rishabh, Dubey Priyanka. Analyzing The Prediction of Water Quality Using WQI Values. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(5):1116-1122.

Harvard Style

Bakliwal, Rishabh & Dubey, Priyanka (2021) 'Analyzing The Prediction of Water Quality Using WQI Values', International Journal of Advance Research and Innovative Ideas In Education, 7(5), pp. 1116-1122.

Chicago Style

Bakliwal, Rishabh and Priyanka Dubey. "Analyzing The Prediction of Water Quality Using WQI Values." International Journal of Advance Research and Innovative Ideas In Education 7, no. 5 (2021): 1116-1122.

Turabian Style

Bakliwal, Rishabh and Priyanka Dubey. "Analyzing The Prediction of Water Quality Using WQI Values." International Journal of Advance Research and Innovative Ideas In Education 7, no. 5 (2021): 1116-1122.