Civil Engineering and Architecture Vol. 9(7), pp. 2249 - 2260
DOI: 10.13189/cea.2021.090712
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Vertical Electric Sounding and Multi-Layered Deming Perceptive Classifier for Ground Water Identification and Quality Prediction Analysis

Raghuveer Narsing ^*, K. Karthikeyan
Department of Civil Engineering, Annamalai University, Chidambaram, Tamilnadu, India

ABSTRACT

Water quality prediction is a critical problem because of vigorous impact on natural surroundings and human life. Groundwater crisis has become a global concern as their vulnerability increased with greater frequency and magnitude. This study proposes a Vertical Electric Sounding Ground Water Identification based Multi-Layered Perceptive Classifier (VESGWI-MLPC) model introduced to address prediction accuracy. The main objective is to perform groundwater quality prediction analytics with lesser time consumption and higher accuracy. This model performs two processes, namely groundwater identification, and quality prediction analytics. Groundwater identification is carried out using a vertical electric sounding process. The vertical electric sounding process is a cost-effective resistivity survey process. Current is moved through the subsurface from one current electrode to the other and the current move is recorded for groundwater identification. Groundwater quality prediction analytics is carried out using a multi-layered perceptive classification process. In order to perform groundwater quality prediction analytics with higher accuracy, multi-layered perceptive is employed. Multi-layered perceptive classification process contains three layers for groundwater quality prediction analytics. In input layer, amount of information is collected as input. After that, parameters of the input data like temperature, pH, turbidity, salinity, nitrates, and phosphates are analyzed through perceptron in a hidden layer for performing groundwater quality prediction analysis. At last, output layer classifies and displays data. Thus, the groundwater quality prediction analytics performance gets increased in accuracy and time. Simulation results are considered by different factors namely prediction accuracy, error rate, and prediction time by amount of data. VESGWI-MLPC model enhances prediction accuracy and reduces prediction time and error rate compared with three state-of-the-art methods.

KEYWORDS
Water Quality, Vertical Electric Sounding, Groundwater Quality Prediction, Multi-Layered Perceptive Classification, Cost-Effective Resistivity

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Raghuveer Narsing , K. Karthikeyan , "Vertical Electric Sounding and Multi-Layered Deming Perceptive Classifier for Ground Water Identification and Quality Prediction Analysis," Civil Engineering and Architecture, Vol. 9, No. 7, pp. 2249 - 2260, 2021. DOI: 10.13189/cea.2021.090712.

(b). APA Format:
Raghuveer Narsing , K. Karthikeyan (2021). Vertical Electric Sounding and Multi-Layered Deming Perceptive Classifier for Ground Water Identification and Quality Prediction Analysis. Civil Engineering and Architecture, 9(7), 2249 - 2260. DOI: 10.13189/cea.2021.090712.