Descriptive and Predictive Analytics of Groundwater

Groundwater contributes as one of the most important sources of water for a country's water requirements. It is majorly used as a source for irrigation, domestic usage and most industries. With its constant usage, there is a possibility of overexploitation of groundwater by any of these major s...

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Bibliographic Details
Published in2021 4th International Conference on Computing and Communications Technologies (ICCCT) pp. 416 - 422
Main Authors Madhumithaa, S., Mannish, S., Justus, J. Jean
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.12.2021
Subjects
Data analysis
Data Analytics
Data models
Groundwater Management
Machine Learning
Temperature measurement
Temperature sensors
Urban areas
Vegetation
Water conservation
Web Application
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DOI10.1109/ICCCT53315.2021.9711907

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Summary:Groundwater contributes as one of the most important sources of water for a country's water requirements. It is majorly used as a source for irrigation, domestic usage and most industries. With its constant usage, there is a possibility of overexploitation of groundwater by any of these major sectors. Therefore, it is essential to monitor and mitigate the usage of groundwater region-wise and prevent its exhaustion by analysing the level of groundwater used in these major sectors. Before using data analytics, assessing the level of groundwater was possible only a few days in advance but with the advancement in data analytics and predictive methods, accurately predicting groundwater is now achievable. The proposed model determines the regions, sectors accountable for the decline in groundwater availability and provides a solution to these respective regions by taking account of the major plantation pattern and wells used in that area.
DOI:10.1109/ICCCT53315.2021.9711907