摘要
基于小基线集合成孔径雷达干涉测量(SBAS-InSAR)技术所监测的吉林省松原市宁江区2017-2021年地表形变数据,并结合地下水水位实测数据,系统分析了该地区地下水活动对地表沉降的影响。InSAR监测结果显示,研究区存在一处明显沉降,在时间上具有明显的季节周期沉降特征。并利用地下水位变化、地质条件和降水量等相关特征因子,构建了多元线性回归模型,定量分析了各因子与地表形变之间的关系,结果显示地下水位变化等对地表形变存在明显的影响。进一步结合土地利用数据发现,该沉降区地表形变主要受农业用水活动影响。
The surface cumulative deformation data of Ningjiang District in Songyuan City,Jilin Province from 2017 to 2021 have been monitored by SBAS-InSAR technology.It systematically analyzes the impact of groundwater activity on surface subsidence in the area,combined with actual groundwater level measurement data.The InSAR monitoring results show that there is a significant subsidence in study area,with obvious seasonal periodic subsidence characteristics over time.This study constructs a multivariate linear regression model through incorporating factors such as groundwater level changes,geological conditions,and precipitation to quantitatively analyze the relationship among these factors and surface deformation.The results reveal a significant influence of groundwater level changes on surface deformation.Furthermore,when combined with land use data,it is found that agricultural water usage primarily influences surface deformation in the subsidence area.
作者
都兵
张旭晴
孙涛
陈峰
王琳炜
DU Bing;ZHANG Xuqing;SUN Tao;CHEN Feng;WANG Linwei(College of Geo-Exploration Science and Technology,Jilin University,Changchun 130026,China)
出处
《世界地质》
CAS
2024年第3期424-433,共10页
World Geology
基金
国家自然科学基金面上项目(42077242)。
