INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
INTERDEPENDENCY OF GROUNDWATER DEPLETION USING BIG DATA ANALYTICS
Authors Name:
Mr. Sudhahar T N
, Ramagayathri B , Rathika E , Shreedevi S
Unique Id:
IJSDR2104029
Published In:
Volume 6 Issue 4, April-2021
Abstract:
Since the beginning, water has furnished us with life's essentials. Groundwater constitutes 30% of the global fresh water resource and it is a major water supply for over 2 billion people worldwide. Due to air pollution and rapid deforestation, the rate of groundwater depletion has increased. This results in water scarcity in human day to day life and agriculture, environment. Because of less number of trees in big cities, it can't bring rain which leads to lowering of water level in big cities. In the environment, we need to know how groundwater depletion is related with air pollution and deforestation. We proposed a system which predicts how groundwater level is dependent on deforestation and air pollution in the environment and the amount of danger the environment will be in the future.
Keywords:
deforestation, air pollution, groundwater depletion, big data analytics
Cite Article:
"INTERDEPENDENCY OF GROUNDWATER DEPLETION USING BIG DATA ANALYTICS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 4, page no.172 - 175, April-2021, Available :http://www.ijsdr.org/papers/IJSDR2104029.pdf
Downloads:
000337211
Publication Details:
Published Paper ID: IJSDR2104029
Registration ID:193099
Published In: Volume 6 Issue 4, April-2021
DOI (Digital Object Identifier):
Page No: 172 - 175
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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