Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems
Article
Article Title | Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems |
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ERA Journal ID | 123718 |
Article Category | Article |
Authors | Maqsoom, Ahsen (Author), Aslam, Bilal (Author), Khalid, Nauman (Author), Ullah, Fahim (Author), Anysz, Hubert (Author), Almaliki, Abdulrazak H. (Author), Almaliki, Abdulrhman A. (Author) and Hussein, Enas E. (Author) |
Journal Title | Water: an open access journal |
Journal Citation | 14 (11), pp. 1-29 |
Article Number | 1824 |
Number of Pages | 29 |
Year | 2022 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2073-4441 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/w14111824 |
Web Address (URL) | https://www.mdpi.com/2073-4441/14/11/1824 |
Abstract | Owing to the extensive global dependency on groundwater and associated increasing water demand, the global groundwater level is declining rapidly. In the case of Islamabad, Pakistan, the groundwater level has lowered five times over the past five years due to extensive pumping by various departments and residents to meet the local water requirements. To address this, water reservoirs and sources need to be delineated, and potential recharge zones are highlighted to assess the recharge potential. Therefore, the current study utilizes an integrated approach based on remote sensing (RS) and GIS using the influence factor (IF) technique to delineate potential groundwater recharge zones in Islamabad, Pakistan. Soil map of Pakistan, Landsat 8TM satellite data, digital elevation model (ASTER DEM), and local geological map were used in the study for the preparation of thematic maps of 15 key contributing factors considered in this study. To generate a combined groundwater recharge map, rate and weightage values were assigned to each factor representing their mutual influence and recharge capabilities. To analyze the final combined recharge map, five different assessment analogies were used in the study: poor, low, medium, high, and best. The final recharge potential map for Islamabad classifies 15% (136.8 km2) of the region as the “best” zone for extracting groundwater. Furthermore, high, medium, low, and poor ranks were assigned to 21%, 24%, 27%, and 13% of the region with respective areas of 191.52 km2, 218.88 km2, 246.24 km2, and 118.56 km2. Overall, this research outlines the best to least favorable zones in Islamabad regarding groundwater recharge potentials. This can help the authorities devise mitigation strategies and preserve the natural terrain in the regions with the best groundwater recharge potential. This is aligned with the aims of the interior ministry of Pakistan for constructing small reservoirs and ponds in the existing natural streams and installing recharging wells to maintain the groundwater level in cities. Other countries can expand upon and adapt this study to delineate local groundwater recharge potentials. |
Keywords | geographical information systems; groundwater assessment; groundwater recharge; remote sensing; Islamabad |
ANZSRC Field of Research 2020 | 339999. Other built environment and design not elsewhere classified |
400513. Water resources engineering | |
440612. Urban geography | |
370901. Geomorphology and earth surface processes | |
330404. Land use and environmental planning | |
370704. Surface water hydrology | |
370499. Geoinformatics not elsewhere classified | |
400411. Water treatment processes | |
410504. Surface water quality processes and contaminated sediment assessment | |
370508. Resource geoscience | |
370703. Groundwater hydrology | |
330413. Urban planning and health | |
370705. Urban hydrology | |
Byline Affiliations | COMSATS University Islamabad, Pakistan |
Northern Arizona University, United States | |
School of Surveying and Built Environment | |
Warsaw University of Technology, Poland | |
Taif University, Saudi Arabia | |
No affiliation | |
National Water Research Center, Egypt | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7616/delineating-groundwater-recharge-potential-through-remote-sensing-and-geographical-information-systems
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