Morphometric analysis of Araniar river basin using remote sensing and geographical information system in the assessment of groundwater potential

2012 ◽  
Vol 6 (10) ◽  
pp. 3683-3692 ◽  
Author(s):  
I. Jasmin ◽  
P. Mallikarjuna
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographical Information System ◽  
River Basin ◽  
Morphometric Analysis ◽  
Groundwater Potential ◽  
Geographical Information

Morphometric analysis of small watershed using geographical information system and remote sensing

2020 ◽  
Vol 19 (2) ◽  
pp. 176
Author(s):  
Love Kumar ◽  
Dhiraj Khalkho ◽  
V.K. Pandey ◽  
Manish Kumar Sinha ◽  
Prashant Singh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographical Information System ◽  
Morphometric Analysis ◽  
Geographical Information ◽  
Small Watershed

scholarly journals Geographical Information System (GIS) and Analytical Hierarchy Process (AHP) based groundwater Potential Zones delineation in Chennai River Basin (CRB), India

2021 ◽  
Author(s):  
Sajil Kumar PJ ◽  
Elnago L ◽  
Michael Schneider
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
River Basin ◽  
New Technologies ◽  
Specific Capacity ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Slope Aspect ◽  
Groundwater Depletion ◽  
Groundwater Potential Zones

Abstract Groundwater depletion is one of the most important concerns for users and policy makers. Information on the locations where groundwater potential is high, or low is the key factor that helps them to do proper planning. Application of new technologies and methods are essential in this situation. This study has used the possibilities of Geographical Information System (GIS), Remote Sensing and, of course, field data to delineate the groundwater potential zones in the Chennai River Basin (CRB). To provide accurate results, 11 controlling factors- geology, water level, drainage, soil, lineament, rainfall, land use, slope, aspect, geomorphology, and depth to bed rock-- were brought into a digital GIS environment and appropriate weightage given to each layer depending on their effect on potential. The weightage is given based on Multi-Criteria Decision Making (MCDM), namely Analytical Hierarchal Process (AHP). Groundwater potential zones in the CRB were mapped as very poor, poor, moderate, good, very good using weighted overlay analysis. The results were compared with actual specific capacity from the borehole data. The accuracy of prediction was found to be 78.43%, indicating that in most of the locations, the predicted potential map agrees with the bore hole data. Thus, AHP aided GIS-RS mapping is a useful tool in groundwater prospecting in this region of the world.

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