scholarly journals Water Resource Evaluation and Identifying Groundwater Potential Zones in Arid area using Remote Sensing and Geographic Information System

2020 ◽  
Vol 16 (3) ◽  
pp. 266-279 ◽  
Author(s):  
M.M. Kamruzzaman ◽  
Saad Awadh Alanazi ◽  
Madallah Alruwaili ◽  
Nasser Alshammari ◽  
Muhammad Hameed Siddiqi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Water Resource ◽  
Groundwater Potential ◽  
Geographic Information ◽  
Arid Area ◽  
Groundwater Potential Zones ◽  
Resource Evaluation

Mapping of groundwater potential zones using remote sensing and geographic information system: A case study of parts of Tigray, Ethiopia

2018 ◽  
Vol 25 (4) ◽  
pp. 133-140 ◽  
Author(s):  
Tesfa Gebre ◽  
Imran Ahmad ◽  
Mithas Ahmad Dar ◽  
Edissa Gadissa ◽  
Afera Halefom Teka ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Groundwater Potential ◽  
Geographic Information ◽  
Groundwater Potential Zones ◽  
System A

scholarly journals Modeling Groundwater Potential Zones across Sulaimani Governorate Using Geographic Information System and Multi-influencing Factor Techniques

2021 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Haveen Muhammed Rashid
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Influencing Factor ◽  
Specific Weight ◽  
Groundwater Potential ◽  
Geographic Information ◽  
High Potential ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones

Groundwater is one of the most important natural resources in the world. The presence of groundwater is the result of interaction of several factors such as: hydrology, geology, climate, ecology, and physiography. The purpose of this paper is to produce groundwater potential zones which are useful in determining the amount of groundwater available in Sulaimani Governorate, North of Iraq. Geographic information system database for six different thematic layers (digital elevation model, rainfall, soil texture, drainage density, slope and land use/land cover) were generated. The study approach involved integration of six layers carried out based on the multiplication of each data raster values with specific weight using weighted overlay analysis method. Raster maps of all the layers assigned a fixed score and weight using multi-influencing factor technique. Based on the resulted map the study area has been divided into four zones that had very high potential zone (1%), high potential zone (14%), moderate zone potential (79%) and low potential zone (6%). About 50% of the high groundwater potential zone were located in Halabja, Rania, and Pshdar districts. Obtained results can be useful in localizing areas of exploration, preventing excessive exploitation of groundwater and planning for suitable sites of artificial groundwater.

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