Investigation of groundwater induced land subsidence in Ludhiana City using InSAR and Sentinel-1 data

IF 2.9 Q2 GEOGRAPHY, PHYSICAL Quaternary Science Advances Pub Date : 2023-12-07 DOI:10.1016/j.qsa.2023.100151
Hari Shankar , Dharmendra Singh (Professor) , Prakash Chauhan (Director)
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Abstract

Land Subsidence (LS) is a vertically downward motion of land surface due to various reasons such as natural processes and anthropogenic activities especially excessive exploitation of groundwater. LS has adverse effects on substantial infrastructural damage, severe environmental problems, extensive economic losses, and significant societal impacts. In this study, we investigated the LS of Ludhiana city, a densely populated, largest and major industrial city of Punjab state, India. We presented a comprehensive methodology of Short BAseline Subset Interferometric Synthetic Aperture Radar (SBASInSAR) for LS measurement using an open-source computational environment. We generated 197 interferograms from 65 Sentinel-1A images acquired in descending pass between September 2019–July 2022 for deriving radar line of sight (LOS) displacement time-series and mean LOS velocity. Deformation results showed that the southern, and south-eastern parts of the city had been consistently moving downward with a mean subsidence rate of 24.7 mm/yr, while in western, few small patches in eastern and northern regions it ranges from 2 to 21 mm/yr, 3–20 mm/yr and 4–16 mm/yr respectively. The standard deviation of mean LOS velocity was observed between 0.7 and 3.3 mm/yr with majority values < 2 mm/yr. SBASInSAR results were compared with six Groundwater Level (GWL) wells observations, and both measurements generally agreed well at GWL locations (W1–W6) except W1–W2. For assessing the influence of groundwater change on LS, a correlation analysis was performed, and correlation of 0.50, 0.47, 0.81, 0.77, 0.84, and 0.64 was observed at GWL stations (W1–W6) respectively. Overall comparison of InSAR and GWL measurements are found in good agreement and significantly correlated, which can provide sufficiently detailed information about LS.

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利用 InSAR 和 Sentinel-1 数据调查卢迪亚纳市地下水诱发的地面沉降
土地沉降(LS)是指由于各种原因,如自然过程和人为活动,特别是过度开采地下水造成的地表垂直向下运动。土地沉降会对基础设施造成重大破坏、带来严重的环境问题、造成巨大的经济损失和重大的社会影响。在本研究中,我们对印度旁遮普邦人口稠密、最大的主要工业城市卢迪亚纳市的地下水层进行了调查。我们利用开放源码计算环境,介绍了一种用于 LS 测量的短 BAseline 子集干涉合成孔径雷达 (SBASInSAR) 综合方法。我们从2019年9月至2022年7月期间降序获取的65幅哨兵-1A图像中生成了197幅干涉图,用于推导雷达视线(LOS)位移时间序列和平均LOS速度。形变结果表明,该市南部和东南部地区持续下沉,平均下沉速度为 24.7 毫米/年,西部、东部和北部的少数小块地区分别为 2 至 21 毫米/年、3 至 20 毫米/年和 4 至 16 毫米/年。观测到的平均 LOS 速度标准偏差在 0.7 至 3.3 毫米/年之间,大部分数值为 2 毫米/年。将 SBASInSAR 的结果与 6 口地下水位井的观测结果进行了比较,除 W1-W2 外,两者在地下水位井位置(W1-W6)的测量结果基本一致。为评估地下水变化对 LS 的影响,进行了相关性分析,在 GWL 站(W1-W6)观察到的相关性分别为 0.50、0.47、0.81、0.77、0.84 和 0.64。总体而言,InSAR 和 GWL 测量结果比较一致,并具有显著的相关性,可以提供有关 LS 的足够详细的信息。
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来源期刊
Quaternary Science Advances
Quaternary Science Advances Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
4.00
自引率
13.30%
发文量
16
审稿时长
61 days
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