Multi-Influence Factor Method to Determine Groundwater Potential Zone using GIS and RS (Remote sensing) Techniques in Parts of Rajasthan, India.

2021 ◽  
Author(s):  
Adya Aiswarya Dash ◽  
Abhijit Mukherjee ◽  
Rahul Garg
Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 669
Author(s):  
Abid Sarwar ◽  
Sajid Rashid Ahmad ◽  
Muhammad Ishaq Asif Rehmani ◽  
Muhammad Asif Javid ◽  
Shazia Gulzar ◽  
...  

The changing climate and global warming have rendered existing surface water insufficient, which is projected to adversely influence the irrigated farming systems globally. Consequently, groundwater demand has increased significantly owing to increasing population and demand for plant-based foods especially in South Asia and Pakistan. This study aimed to determine the potential areas for groundwater use for agriculture sector development in the study area Lower Dir District. ArcGIS 10.4 was utilized for geospatial analysis, which is referred to as Multi Influencing Factor (MIF) methodology. Seven parameters including land cover, geology, soil, rainfall, underground faults (liniment) density, drainage density, and slope, were utilized for delineation purpose. Considering relative significance and influence of each parameter in the groundwater recharge rating and weightage was given and potential groundwater areas were classified into very high, high, good, and poor. The result of classification disclosed that the areas of 113.10, 659.38, 674.68, and 124.17 km2 had very high, high, good, and poor potential for groundwater agricultural uses, respectively. Field surveys for water table indicated groundwater potentiality, which was high for Kotkay and Lalqila union councils having shallow water table. However, groundwater potentiality was poor in Zimdara, Khal, and Talash, characterized with a very deep water table. Moreover, the study effectively revealed that remote sensing and GIS could be developed as potent tools for mapping potential sites for groundwater utilization. Furthermore, MIF technique could be a suitable approach for delineation of groundwater potential zone, which can be applied for further research in different areas.


Author(s):  
K Choudhary ◽  
M S Boori ◽  
A Kupriyanov

The main objective of this study was to detect groundwater availability for agriculture in the Orenburg, Russia. Remote sensing data (RS) and geographic information system (GIS) were used to locate potential zones for groundwater in Orenburg. Diverse maps such as a base map, geomorphological, geological structural, lithology, drainage, slope, land use/cover and groundwater potential zone were prepared using the satellite remote sensing data, ground truth data, and secondary data. ArcGIS software was utilized to manipulate these data sets. The groundwater availability of the study was classified into different classes such as very high, high, moderate, low and very low based on its hydro-geomorphological conditions. The land use/cover map was prepared using a digital classification technique with the limited ground truth for mapping irrigated areas in the Orenburg, Russia.


2018 ◽  
Vol 92 (4) ◽  
pp. 484-490 ◽  
Author(s):  
G. Gnanachandrasamy ◽  
Yongzhang Zhou ◽  
M. Bagyaraj ◽  
S. Venkatramanan ◽  
T. Ramkumar ◽  
...  

2012 ◽  
Vol 7 (1) ◽  
pp. 65-75 ◽  
Author(s):  
Murugesan Bagyaraj ◽  
Thirunavukkarasu Ramkumar ◽  
Senapathi Venkatramanan ◽  
Balasubramanian Gurugnanam

2019 ◽  
Vol 68 (7) ◽  
pp. 595-606 ◽  
Author(s):  
K. Indhulekha ◽  
Kamalesh Chandra Mondal ◽  
D. C. Jhariya

Abstract Groundwater availability in urbanized areas is under high demand due to overconsumption and lack of recharge area. It is important to consider the groundwater scenario of the cities and industrial areas for its safe consumption and management. In this framework, remote sensing, geographic information system (GIS), is a tool which plays a vital role to map groundwater prospect zones due to its convenience and time-saving nature. The present study area, the watershed of Chhokra Nala, covers an area which consists partly of an industrial area and also Raipur city. The current study has utilized satellite imagery, along with other data sets, to develop different thematic layers such as geology, land use land cover, drainage and drainage density, lineament, geomorphology, rainfall, slope, groundwater depth and soil types. Integration of all these thematic layers through GIS analysis delineated the groundwater prospect zones by the application of a weighted index overlay method. A Resistivity Survey was also performed to locate groundwater potential zones. The groundwater potential zone map of the study area is categorized into five different zones, namely very low, low, moderate, high and very high.


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