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Research Article

Academia Journal of Scientific Research 8(9): 264-269, September 2020
DOI: 10.15413/ajsr.2020.0133
ISSN 2315-7712
2020 Academia Publishing


Artificial intelligence approach in impact of climate change on groundwater level using artificial neural network


Accepted 7th September, 2020

Pratyush Sainiand1 and Rajani Srivastava2

Environmental Science (Environmental Technology), Institute of Environment & Sustainable Development, RGSC, Banaras Hindu University, Mirzapur, 231001, India.

Groundwater is considered as one of the most important water resources for humans and environment. Population explosion, urbanization, industrialization and unsustainable usage of water resources are declining the water table at a rapid rate. Various models have been developed to analyze the hydrological aspects of water resources. Due to complexity in data acquisition and extensive data requirement for physical models, they are very hard to model the water resources problems. Nowadays with the development of advanced computational techniques artificial intelligence or machine learning has emerged as a new field in data science or data mining. Artificial neural network is one such part of artificial intelligence. An artificial neural network has been applied since 1980s in every field of science and technology. This is very simple approach in machine learning/artificial intelligence which requires preliminary knowledge of problem and solution and then predicts the upcoming solutions arising due to different future problems. The research aims to simulate and model groundwater level and finding how much impact climate change is imposing in groundwater scenario using Artificial Intelligence as an alternative approach over physical based models. The climate change parameters (rainfall, solar radiation, maximum temperature, minimum temperature) were obtained through regional climate model (REMO) RCP 4.5 scenario. Water table data for historical scenario was obtained from India-WRIS a web based GIS for water information developed by National Remote Sensing Center (NRSC). The findings of study show that climate change has significant impact on groundwater level depletion. Not only humans are responsible but also climate change plays a significant role in groundwater table fall.

Key words: Artificial intelligence, artificial neural network, groundwater level forecasting, climate change.

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article as:

Sainiand P and Srivastava R (2020). Artificial intelligence approach in impact of climate change on groundwater level using artificial neural network. Acad. J. Sci. Res. 8(9): 264-269.

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