基于InSAR技术的黄河内蒙古段河岸形变监测与影响因素分析  

Monitoring riverbank deformation and influencing factors in the Inner Mongolia section of the Yellow River using InSAR technology

作　　者：毛宇鑫 冀鸿兰[1,2] 杨震 张江浩 刘斌 MAO Yuxin;JI Honglan;YANG Zhen;ZHANG Jianghao;LIU Bin(College of Water Resources and Civil Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China;Collaborative Innovation Center for Comprehensive Management of Water Resources and Water Environment in Inner Mongolia of the Yellow River Basin,Hohhot 010018,China)

机构地区：[1]内蒙古农业大学水利与土木建筑工程学院,呼和浩特010018 [2]黄河流域内蒙段水资源与水环境综合治理协同创新中心,呼和浩特010018

出　　处：《农业工程学报》2025年第5期87-95,共9页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金联合基金项目(U23A2012);国家自然科学基金项目(52379014);内蒙古自然科学基金重点项目(2022ZD08)。

摘　　要：河岸崩塌不仅影响河势稳定,而且危及沿岸人民的生命财产安全。进行河岸形变监测,探究形变规律及其影响因素,对于河岸崩塌灾害防治具有重要意义。该研究选取2018年4月至2024年4月的153幅Sentinel-1A影像,利用SBAS-InSAR(small baseline subset interferometric synthetic aperture radar)技术获取黄河内蒙古段什四份子和温布壕两个典型弯道地区的河岸形变时空分布特征,结合实测的土体温湿度、降水、地下水位和河道水位数据,分析自然因素对河岸形变的影响。结果表明,SBAS-InSAR监测结果与水准实测数据拟合效果良好,均方根误差为1.11 mm,决定系数R^(2)为0.754,该方法在季冻区河岸形变监测中具有较高的精度。什四份子地区年平均形变速率范围为-20.0~24.8 mm/a,形变区域主要位于沿岸耕地和堤防。温布壕地区年平均形变速率范围为-18.7~19.5 mm/a,抬升区域呈散点式分布,沉降区域集中在东侧河岸,表现出整体轻微抬升和局部沉降的特点。地下水位、河道水位以及土体温度和湿度均与河岸形变表现出显著相关性,是影响河岸形变的重要因素。研究表明,SBAS-InSAR技术能够在复杂环境下有效监测河岸形变,为季冻区河岸灾害防治提供了可靠的技术支持。Riverbank collapse has seriously threatened the river channels under the combined interactions of freeze-thaw cycles,water flow erosion and groundwater level fluctuations.Particularly,a typical seasonal permafrost is located in the Inner Mongolia section of the Yellow River.However,the precision and continuity of conventional monitoring can be confined to the low coherence and vegetation-covered soil surfaces.This study aims to monitor the riverbank deformation for the prevention and mitigation of riverbank collapse.A systematic investigation was implemented to determine its patterns and influencing factors.153 Sentinel-1A images were acquired from 2018 to 2024.SBAS-InSAR(Small Baseline Subsets-Interferometric Synthetic Aperture Radar)was applied to derive the spatiotemporal distribution of riverbank deformation in two typical meander bends,Shisifenzi and Wenbuhao.A 120-day temporal baseline was adopted to effectively capture the seasonal deformation during freeze-thaw cycles and flood seasons.Goldstein filtering and minimum cost flow(MCF)phase unwrapping were also employed to enhance the monitoring accuracy.Sentinel-2 optical imagery was then integrated with the InSAR monitoring.The location and causes of deformation were then determined,according to the land use types,topographical features and normalized difference vegetation index(NDVI).The NDVI values were calculated from the images of the vegetated flood season and sparsely vegetated winter.The InSAR coherence maps were also utilized to assess the impact of vegetation coverage on the monitoring accuracy.The results reveal that the significant linear correlation was observed between the SBAS-InSAR monitoring and leveling measurement,with a root mean square error(RMSE)of 1.11 mm and a coefficient of determination(R^(2))of 0.754.The high consistency and reliability of the SBAS-InSAR were then achieved to monitor the riverbank deformation under freeze-thaw cycles and complex geomorphology.There was the seasonal and spatial heterogeneity of deformation.Specifica

关 键 词：SBAS-InSAR 形变监测 黄河内蒙古段 Sentinel-1 相关性分析 

分 类 号：TV82[水利工程—水利水电工程]