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Analysis of Ground Water Quality Using Statistical Techniques: A Case Study of Madurai City
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Author(s): Keerthy K. (Thiagarajar College of Engineering, India), Sheik Abdullah A. (Thiagarajar College of Engineering, India)and Chandran S. (Thiagarajar College of Engineering, India)
Copyright: 2020
Pages: 10
Source title:
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Source Author(s)/Editor(s): Gebrail Bekdaş (Istanbul University-Cerrahpaşa, Turkey), Sinan Melih Nigdeli (Istanbul University-Cerrahpaşa, Turkey)and Melda Yücel (Istanbul University-Cerrahpaşa, Turkey)
DOI: 10.4018/978-1-7998-0301-0.ch009
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Abstract
Urbanization, industrialization, and increase in population lead to depletion of ground water quantity and also deteriorate the ground water quality. Madurai city is one of the oldest cities in India. In this chapter the ground water quality was assessed using various statistical techniques. Groundwater samples were collected from 11 bore wells and 5 dug wells in Post-monsoon season during 2002. Samples were analysed for physico-chemical characterization in the laboratory. Around 17 physico-chemical parameters were analysed for all the samples. The descriptive statistical analysis was done to understand the correlation between each parameter. Cluster Analysis was carried out to identify the most affected bore well and dug well in the Madurai city.
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