InSAR Monitoring of Ground Subsidence in Wuzhou City Incorporating Improved Whale Algorithm Untangling
In response to the situation that interferogram unwinding in InSAR-based ground subsidence research is prone to fall into local optimum and there are many and complex ground subsidence influence factors,this paper proposes an InSAR unwinding method combined with global whale algorithm to find the optimum and uses Wuzhou city of Guangxi Zhuang Autonomous Region as the study area to construct human disturbance index to explore its ground subsidence condition and analyze its driving factors in 2018-2023.The results show that the improved whale optimization algorithm finds the shortest path of branch tangents from a global perspective,effectively avoiding the problem of falling into local optimum.Based on the above-mentioned untangling method,this paper obtains the ground settlement condition in the study area from 2018-2023 and selects two characteristic regions to explore the driving factors affecting ground settlement,and after correlation analysis,the ground settlement in the study area is closely related to urban expansion and the construction of important transportation hubs,and the goodness-of-fit R2 of the ground settlement rate in the two characteristic regions and the construction land area in Wuzhou city are 0.938 6 and 0.984 2,respectively.The results of this study can provide decision support for urban planning,construction and emergency disaster prevention in the study area.
land subsidenceSBAS-InSARhuman disturbance indexdriving force analysisBMWOA
万方数据
维普
