Evidence of Subsidence Control in Shanghai Revealed by 10 Years of InSAR Observations

作者：Wei Li, Shuaiying Wu, Chuanhua Zhu, Huawei Hou, Xu Zhang, Chisheng Wang, Meng Lian, Jian Wang · 发表于：Remote Sensing · 年份：2025 · DOI：10.3390/rs17243954 · 被引用次数：5 · 研究领域：Synthetic Aperture Radar (SAR) Applications and Techniques、Karst Systems and Hydrogeology、Groundwater and Watershed Analysis

Since 2006, Shanghai has implemented a comprehensive subsidence control system, which aimed at groundwater extraction restrictions, artificial recharge, and the control of engineering-based settlement. While significant results have been achieved, a systematic scientific evaluation of its specific effectiveness remains unclear. This study utilizes Sentinel-1 SAR data from 2015–2024 and employs SBAS-InSAR technology to obtain high-precision ground deformation fields across Shanghai. A Multilayer Perceptron (MLP) model was introduced to intelligently classify time-series deformation data, through which we identified five typical patterns: rapid subsidence, minor subsidence, fluctuating deformation, periodic deformation, and uplift. Building upon this foundation, the research integrates Shanghai’s subsidence control zoning data and four-phase land use data (1990, 2000, 2015, 2022) to systematically evaluate the regional effectiveness of subsidence control policies and reveal the driving mechanisms of different deformation patterns from a land use transition perspective. Results demonstrate that the stratified subsidence control policy has achieved significant results with distinct spatial differentiation characteristics: major prevention zones exhibit stable deformation (benign patterns reaching 72.03%), while general prevention zones display high-risk, highly dynamic characteristics (benign patterns accounting for only 29.73%). Further analysis reveals strong coupling between t...