Spatio-Temporal Variation and Trend Analysis of Groundwater Level in Raipur City, Chhattisgarh

Author(s):  
Sumant Kumar ◽  
Surjeet Singh ◽  
R. V. Kale ◽  
N. C. Ghosh ◽  
Mahesh M. Sonkusare ◽  
...  
2012 ◽  
Vol 610-613 ◽  
pp. 3752-3755 ◽  
Author(s):  
Qing Hui Lin ◽  
Li Ran Sun ◽  
Xue Zhi Wang ◽  
Liang Lin Hu

In this paper, Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset, a global dataset with 1km spatial resolution and one month temporal resolution, was selected as the data source. The spatio-temporal variation of vegetation NDVI in China and the seven regions of China during the period from 2001 to 2011 were studied by using maximum value method, average method and linear regression trend analysis method. Results show that: Over the past 11 years, the change of China Annual NDVI was insignificant. The variation of mean NDVI of different regions was obvious. Trend analysis shows that vegetation NDVI in China had an increasing trend from 2001 to 2011.


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).


2013 ◽  
Vol 15 (1) ◽  
pp. 1 ◽  
Author(s):  
Yangzi GAO ◽  
Honglin HE ◽  
Li ZHANG ◽  
Qianqian LU ◽  
Guirui YU ◽  
...  

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