融合InSAR与信息量-层次分析法的深圳西部填海区地面沉降风险评价OACHSSCD
Ground subsidence risk evaluation in the reclamation area of western Shenzhen:integrating InSAR with the information value-analytic hierarchy process
为精准评估深圳西部填海区地面沉降灾害风险,本研究构建了融合卫星 InSAR观测与信息量-层次分析法的地面沉降风险评价模型.首先采用小基线集雷达干涉测量(SBAS-InSAR)技术获取填海区地面沉降数据,并将其作为地质灾害点融入地面沉降易发性评价体系;其次,针对填海区软土固结沉降的特殊机理,首次将填海年限引入评价指标体系,结合填海区土地利用关联性及降水响应季节性的沉降特征,选取填海年限、InSAR沉降速率、累积沉降量、土地利用类型、年均降水量 5项核心评价因子,构建地面沉降易发性评价模型;同时,引入 InSAR点密度表征沉降易损性,并联合易发性与易损性构建"概率-损失"双维度沉降风险评价模型.结果表明:研究区地面沉降高风险、极高风险区总面积为 0.72 km2,整体呈现"填海时间短(<15年)、沉降快(<-20 mm/a)、累积沉降量大(<-40 mm)、建筑分布密集"的特征;极低风险区多为土体稳定性好、外部荷载小的区域.对比分析证实,本文构建的"概率-损失"双维度风险评价模型比单一易发性评价模型更加科学合理,评价结果与实际沉降风险现状高度契合,将填海年限纳入评价指标体系可有效表征填海软土固结程度对地面沉降的驱动作用,更契合填海区沉降发育规律.研究成果可为填海区地面沉降风险的快速筛查和综合防治提供技术支撑.
To accurately evaluate the ground subsidence risk in the western reclamation area of Shenzhen,this study proposes a ground subsidence risk evaluation model integrating satellite InSAR observations with the information value-analytic hierarchy process(AHP)method.Firstly,small baseline subset interferometric synthetic aperture radar(SBAS-InSAR)technology was used to obtain ground subsidence data of the study area,and the high-precision deformation observation results are incorporated as the gas key geological disaster factors into the ground subsidence susceptibility evaluation system.Considering the unique subsidence mechanism of soft soil consolidation in reclamation areas,the reclamation age is innovatively introduced into the evaluation index system.Combined with the subsidence characteristics including the spatial differentiation of land use and seasonal precipitation response in the study area,five core evaluation factors,namely reclamation age,InSAR-derived subsidence rate,cumulative subsidence,land use type,and annual average precipitation,are selected to establish a targeted ground subsidence susceptibility model for reclamation areas.Meanwhile,the spatial density of InSAR point is used to characterize regional subsidence vulnerability,and a dual-dimensional"probability-loss"ground subsidence risk evaluation model is constructed by coupling susceptibility and vulnerability indicators.The results show that the area of high and extremely high subsidence risk zones is 0.72 km2,which is characterized by"short reclamation time(<15 years),high subsidence rate(<-20 mm/a),large cumulative subsidence(<-40 mm),and dense building distribution".The extremely low-risk areas are predominately regions with stable ground soil and minor external loads.Comparative verification indicates that the evaluation results of the proposed ground subsidence risk model are highly consistent with the actual subsidence risk.The"probability-loss"dual-dimensional risk evaluation is more scientific and reasonable than the single susceptibility model;incorporating reclamation age into the evaluation index system allows full consideration of the impact of soft soil consolidation degree on subsidence,making it more suitable for the subsiendence development patterns of reclamation areas.The research results can provide technical support for the rapid screening and comprehensive prevention of ground subsidence risk in reclamation areas.
秦晓琼;李昂谦;朱国亮;吴松波;汪驰升;洪成雨;陈湘生
深圳大学极端环境岩土和隧道工程智能建养全国重点实验室,广东 深圳 518060||深圳大学生态环境部滨海城市水土环境演化重点实验室(筹),广东 深圳 518060深圳大学极端环境岩土和隧道工程智能建养全国重点实验室,广东 深圳 518060||深圳大学生态环境部滨海城市水土环境演化重点实验室(筹),广东 深圳 518060深圳大学极端环境岩土和隧道工程智能建养全国重点实验室,广东 深圳 518060||深圳大学生态环境部滨海城市水土环境演化重点实验室(筹),广东 深圳 518060香港理工大学土地测量及地理空间科学系,香港九龙 999077深圳大学极端环境岩土和隧道工程智能建养全国重点实验室,广东 深圳 518060||深圳大学建筑与城市规划学院,广东 深圳 518060深圳大学极端环境岩土和隧道工程智能建养全国重点实验室,广东 深圳 518060||深圳大学生态环境部滨海城市水土环境演化重点实验室(筹),广东 深圳 518060深圳大学极端环境岩土和隧道工程智能建养全国重点实验室,广东 深圳 518060||深圳大学生态环境部滨海城市水土环境演化重点实验室(筹),广东 深圳 518060
天文与地球科学
SBAS-InSAR填海区信息量模型层次分析法沉降风险评价
SBAS-InSARreclamation areainformation value modelanalytic hierarchy process(AHP)subsidence risk evaluation
《上海国土资源》 2026 (3)
52-65,14
国家自然科学基金面上项目(42474021)深圳市科创委可持续发展专项(No.KCXFZ20230731092803006)中欧"龙"计划合作项目(ID.95436)
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