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Chinese Academy of Sciences Institutional Repositories Grid
Assessing the Impacts of Groundwater Depletion and Aquifer Degradation on Land Subsidence in Lahore, Pakistan: A PS-InSAR Approach for Sustainable Urban Development

文献类型:期刊论文

作者Sajjad, Meer Muhammad3; Wang, Juanle3,4,5; Afzal, Zeeshan6; Hussain, Sajid7; Siddique, Aboubakar8; Khan, Rehan9; Ali, Muhammad10; Iqbal, Javed1
刊名REMOTE SENSING
出版日期2023-11-01
卷号15期号:22页码:5418
关键词groundwater PS-InSAR subsidence groundwater depletion Lahore
DOI10.3390/rs15225418
产权排序1
文献子类Article
英文摘要In various regions worldwide, people rely heavily on groundwater as a significant water source for daily usage. The resulting large-scale depletion of groundwater has triggered surface deformation in densely populated urban areas. This paper aims to employ Persistent Scattered Interferometry Synthetic Aperture Radar (PS-InSAR) techniques to monitor and quantify the land surface deformation (LSD), assess the relationships between LSD and groundwater levels (GWL), and provide insights for urban planning in Lahore, Pakistan, as the research area. A series of Sentinel-1 images from the ascending track between 2017 and 2020 were analyzed. Moreover, the Mann-Kendall (MK) test and coefficient of determination were computed to analyze the long-term trends and spatial relationships between GWL depletion and line of sight (LOS) displacement. Our findings reveal significant increases in land subsidence (LS) and GWL from 2017 to 2020, particularly in the city center of Lahore. Notably, the annual mean subsidence during this period rose from -27 mm/year to -106 mm/year, indicating an accelerating trend with an average subsidence of -20 mm/year. Furthermore, the MK test indicated a declining trend in GWL, averaging 0.49 m/year from 2003 to 2020, exacerbating LS. Regions with significant groundwater discharge are particularly susceptible to subsidence rates up to -100 mm. The LS variation was positively correlated with the GWL at a significant level (p < 0.05) and accounted for a high positive correlation at the center of the city, where the urban load was high. Overall, the adopted methodology effectively detects, maps, and monitors land surfaces vulnerable to subsidence, offering valuable insights into efficient sustainable urban planning, surface infrastructure design, and subsidence-induced hazard mitigation in large urban areas.
WOS关键词CO-REGISTRATION ; CLIMATE-CHANGE ; CITY ; URBANIZATION
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
出版者MDPI
WOS记录号WOS:001122722300001
源URL[http://ir.igsnrr.ac.cn/handle/311030/201011]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Univ Napoli Parthenope, Dipartimento Ingn, I-80133 Naples, Italy
2.China Univ Geosci, Sch Environm Studies, Wuhan 430074, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan
6.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
7.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
8.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
9.Univ Sci & Technol Beijing, Beijing 100083, Peoples R China
10.Cent South Univ, Sch Geosci & Info Phys, Minist Educ, Key Lab Metallogen Predict Nonferrous Met & Geol E, Changsha 410083, Peoples R China
推荐引用方式
GB/T 7714
Sajjad, Meer Muhammad,Wang, Juanle,Afzal, Zeeshan,et al. Assessing the Impacts of Groundwater Depletion and Aquifer Degradation on Land Subsidence in Lahore, Pakistan: A PS-InSAR Approach for Sustainable Urban Development[J]. REMOTE SENSING,2023,15(22):5418.
APA Sajjad, Meer Muhammad.,Wang, Juanle.,Afzal, Zeeshan.,Hussain, Sajid.,Siddique, Aboubakar.,...&Iqbal, Javed.(2023).Assessing the Impacts of Groundwater Depletion and Aquifer Degradation on Land Subsidence in Lahore, Pakistan: A PS-InSAR Approach for Sustainable Urban Development.REMOTE SENSING,15(22),5418.
MLA Sajjad, Meer Muhammad,et al."Assessing the Impacts of Groundwater Depletion and Aquifer Degradation on Land Subsidence in Lahore, Pakistan: A PS-InSAR Approach for Sustainable Urban Development".REMOTE SENSING 15.22(2023):5418.

入库方式: OAI收割

来源:地理科学与资源研究所

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