Geospatial Assessment of Managed Aquifer Recharge Potential Sites in Punjab, Pakistan

被引:8
作者
Afzal, Muhammad [1 ,2 ,3 ]
Liu, Tie [1 ,2 ,3 ,4 ]
Butt, Asim Qayyum [3 ,4 ,5 ]
Nadeem, Adeel Ahmed [6 ]
Ali, Sikandar [1 ,3 ]
Pan, Xiaohui [1 ,3 ]
机构
[1] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[2] CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China
[5] Univ Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
[6] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China
关键词
managed aquifer recharge; MCDA; GIS; remote sensing; water management; GROUNDWATER; GIS; DELINEATION; ZONES; IDENTIFICATION; PROVINCE; TERRAIN; MODEL; BASIN;
D O I
10.3390/rs15163988
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Groundwater is a precious natural resource that is vital to various aspects of life. Punjab is experiencing groundwater stress due to urbanization and population growth, leading to overuse and reduced aquifer recharge. Sustainable groundwater supplies can only be created through better management and artificial recharge techniques. This study uses multi-influencing factor, literature-based, and combined techniques to identify and characterize groundwater-managed aquifer recharge potential sites (GWMARPSs) in Punjab. There are limitations to the previous work in this field, and these factors have not been used to estimate GWRPSs in the study area. The study uses GIS and RS techniques to overlay twelve geo-informative layers, with rainfall being the most significant factor. High-quality data and observations from the field are incorporated into the model. The study classifies the GWMARPSs into five categories, with Punjab having 0.34%, 13.29%, 60.68%, 25.26%, and 0.43% of the least, poorly, moderately, well-, and highly suitable sites. Punjab's southern regions are least suitable for recharge, while some areas in eastern and northern Punjab are well-suited for recharge. Alluvial plains, valleys, low-lying areas, and areas with volcanic landforms are classified as least to poorly suitable zones. Model predictions are validated using piezometric level data and ROC and exhibit good performance (AUC, 0.74). This study could serve as a baseline for future groundwater research.
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页数:26
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