Future Projected Groundwater Level Trend Analysis using GIS Techniques
Vimal shukla1, Jyoti Sarup2
1Vimal Shukla*, PhD Scholar, Department of Civil Centre of Remote Sensing and GIS, Maulana Azad National Institute of Technology Bhopal Madhya Pradesh, India.
2Dr. Jyoti Sarup, Associate professor, Department of Civil Centre of Remote Sensing and GIS, Maulana Azad National Institute of Technology Bhopal Madhya Pradesh, India.
Manuscript received on January 16, 2020. | Revised Manuscript received on January 27, 2020. | Manuscript published on February 10, 2020. | PP: 1286-1294 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1415029420/2020©BEIESP | DOI: 10.35940/ijitee.D1415.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: High Population Growth and increase the urban sprawl in earth to less the groundwater resources causes degradation of groundwater Level in India. Water is very important for our life and natural resources. There are various uses of groundwater just as drinking, irrigation, and manufacturing. Today we are facing the shortage of groundwater level. The main goal of study is, because of increase in the population there is increase the number of bore well in earth surface this the reason to declination of groundwater level, so in these study to analysis of spatio-temporal changes in groundwater level fluctuation in Bhopal district in Madhya Pradesh, India. According to censes in Huzur Tehsil, M.P, Bhopal District, in 2001 population is 1429132 and 2011 population is 1834493. Collected the total of 350 observation wells Huzur Tehsil, Bhopal district for point observations. And using the GIS techniques spatial Analysis tools in ArcGIS10.5 to find out different Change of Groundwater Level Fluctuation since period (1996-2015) and using Matlab to generate the GWL (groundwater level) modeling .Generate the Future projected Groundwater level Fluctuation(2016-2050) and Trend Analysis of Groundwater Level (1996-2015) and Future Projected Groundwater level (2016-2050).
Keywords: High Population, Trend Analysis, GIS, Groundwater Fluctuation, Mapping.
Scope of the Article: Predictive Analysis