School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Hubei Luojia Laboratory, Wuhan, 430079, China.
Environ Sci Pollut Res Int. 2024 Aug;31(38):50874-50891. doi: 10.1007/s11356-024-34545-7. Epub 2024 Aug 5.
Conventional geodetic methods rely on point measurements, which have drawbacks for detecting and tracking geologic disasters at specific locations. In this study, the time series Interferometric Synthetic Aperture Radar (InSAR) approach was incorporated to estimate non-linear surface deformation caused by tectonic, shoreline reclamation, and other anthropogenic activities in economically important urban regions of Pakistan's southern coast, which possesses around 270 km. The shoreline is extended from the low-populated area on the premises of the Hub River in the west to the highly populated Karachi City and Eastern Industrial Zone, where we collected the Sentinel-1A C-band data from 2017 to 2023 to address urban security and threats to human life and property. The main advantage of opting for the non-linear persistent scatterer interferometric SAR (PSInSAR) approach for this study is that it exposes minute movements without any prior consideration of conventional monitoring techniques, making it valid in continuously varying regions. An average vertical displacement range of - 170 to + 82 mm per year was found, which was used to investigate the potential correlation with the most effective causative parameters of deformation. The densely populated areas of the study area experience an annual subsidence of 170 mm, and the less populated western region experiences an uplift of 82 mm annually. Land deformation varies along the coast of the study area, where the eastern region is highly reclaimed and is affected by erosion. Groundwater table-depleting regions experienced high levels of land subsidence, and tectonic activities controlled vertical displacement in the region. Major variation was detected after an earthquake occurred along fault lines. This study was designed because a non-linear approach is required to address ground movement activities acutely, and it will make it possible to plan surface infrastructure and handle issues brought on by subsidence more effectively.
传统的大地测量方法依赖于点测量,这对于检测和跟踪特定位置的地质灾害存在缺陷。在本研究中,时间序列合成孔径雷达干涉测量(InSAR)方法被纳入,以估计巴基斯坦南部海岸经济重要城市地区由构造、海岸线开垦和其他人为活动引起的非线性地表变形,该地区拥有约 270 公里的海岸线。该海岸线从西部人口稀少的胡布河沿岸延伸到人口稠密的卡拉奇市和东部工业区,我们从 2017 年到 2023 年在这里收集了 Sentinel-1A C 波段数据,以解决城市安全和人类生命财产面临的威胁。本研究选择非线性永久散射体干涉合成孔径雷达(PSInSAR)方法的主要优势在于,它可以暴露微小的运动,而无需考虑传统监测技术,因此在不断变化的区域中是有效的。发现每年的垂直位移范围为-170 至+82 毫米,用于研究与变形最有效成因参数的潜在相关性。研究区人口稠密地区每年沉降 170 毫米,人口较少的西部地区每年隆起 82 毫米。研究区沿海地区的土地变形各不相同,东部地区高度开垦并受到侵蚀的影响。地下水位下降地区经历了较高的地面沉降,构造活动控制了该地区的垂直位移。沿断层线发生地震后,检测到了重大变化。本研究的设计目的是因为需要采用非线性方法来急性处理地面运动活动,这将使规划地面基础设施和更有效地处理沉降带来的问题成为可能。