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Sumit Kasara
Ms. Pragya Bharti
Keywords:
Groundwater Quality Assessment, Physico-Chemical Parameters, Correlation and Regression Analysis, Statistical Modeling in Water Quality, Python-Based Data Analysis.
Abstract:
Groundwater is a crucial natural resource that serves as the primary source of drinking water for millions across India. However, its quality is increasingly affected by various natural and anthropogenic factors, including industrialization, agricultural runoff, urbanization, and climate change. Assessing groundwater quality is essential to ensure public health and sustainable water management.There is a relationship between variables which shows that one variable actually causes changes in another variable. In this paper, a statistical regression analysis method on ground water of four states from each zone was carried out. This technique was based on the study and calculating the correlation coefficients between various physicochemical parameters of drinking water and ranking of selected districts is done from each state.
The findings of the proposed work offer valuable insights into regional groundwater quality trends and can aid policymakers in implementing effective water management strategies. By identifying critical influencing parameters, this research contributes to improving water resource planning, ensuring sustainable usage, and mitigating potential health risks associated with groundwater contamination.
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International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XVIII, Issue 1
March 2025
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PUBLISHED
March 2025
ISSUE
Vol. XVIII, Issue 1
SECTION
Articles
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