【摘要】 地表形变作为一种普遍存在的地质灾害，易在地形复杂的山区引发滑坡、泥石流等灾害，长期威胁着人民的人身财产安全。然而，由于缺乏全面的地表形变监测和对形变驱动因子的定量分析，难以针对性地对地表形变进行有效防范。为了准确识别山区地表形变的主导因素，本文基于升降轨SAR数据集的星载合成孔径雷达干涉测量技术(InSAR),获取了云南省六库街道2016年1月—2022年2月的地表形变时空分布；在验证监测结果的可靠性后，利用地理探测器量化驱动因子的贡献并揭示其相互作用的机制。结果表明：(1)六库街道地表形变以沉降为主，主要集中在主城区，形变速率为-44～30 mm/a;(2)降水量、高程、土壤类型与研究区地表形变表现出较强的空间相关性，驱动因子之间的交互作用增强了地表形变的空间相关性；(3)主城区形变以垂直向沉降为主，李家田、大密扣村存在水平形变。更多还原

【Abstract】 Surface deformation, a common geological hazard, frequently triggers landslides and debris flow disasters in complex mountainous terrain, posing a long-term threat to personal and property safety. However, the effective prevention of surface deformation remains challenging due to the lack of comprehensive monitoring and quantitative analysis of its driving factors. To accurately identify the dominant factors of surface deformation in mountainous areas, this study uses InSAR technology with ascending and descending orbit SAR datasets to determine the spatiotemporal distribution of surface deformation in Liuku county, Yunnan province, from January 2016 to February 2022. After verifying the reliability of the monitoring results, a geographic detector quantifies the contributions of driving factors and reveals their interactive mechanisms. The research results show that:(1)Surface deformation in Liuku county is primarily subsidence, mainly concentrated in the main urban area, with deformation rates ranging from-44 to 30 mm/a.(2)Rainfall, elevation, and soil type have a strong spatial correlation with surface deformation in the study area, and interactions among driving factors enhance this spatial correlation.(3)Deformation in the main urban area is primarily characterized by vertical subsidence, while horizontal deformation occurs in Lijiatian and Damikou village.更多还原