张婧，郑光明，高彦涛，等. 河南省城市地面沉降易发性评价及地下水位关联性分析[J].河南理工大学学报(自然科学版)，doi:10.16186/j.cnki.1673-9787.2025100023.

ZHANG J, ZHENG G M, GAO Y T, et al. Assessment of urban land subsidence susceptibility and deformation mechanism in typical areas of Henan Province [J]. Journal of Henan Polytechnic University ( Natural Science) ，doi: 10.16186/j.cnki.1673-9787.2025100023.

特厚煤层综放工作面变宽煤柱段巷道掘进期间围岩矿压显现特征分析(网络首发)

张婧1,2，郑光明1,2，高彦涛3，李春意4,5，周文龙4，王艳艳3，王世敏6

1.河南省自然资源监测和国土整治院，河南 郑州 450016；2.河南省地质灾害防治重点实验室，河南 郑州 450016；3.河南省地质局矿产资源勘查中心，河南 郑州 450000；4.河南理工大学 测绘与国土信息工程学院，河南 焦作 454003； 5.自然资源部矿山时空信息与生态修复重点实验室，河南 焦作 454003； 6.中科川信科技有限公司，四川 成都 610041

摘要: 目的 为了开展河南省域城市地面沉降易发性评价及地下水位关联性研究，方法 基于982幅Sentinel-1A SAR数据、水文地质数据、基础地理信息数据，采用SBAS-InSAR技术对河南省域17个地市地表形变进行解译，通过坐标变换和高斯投影变换，获得各地市沉降面积。以年均降雨量、人口数量、城市面积和地下水储量为特征序列，以沉降面积为母序列，构建基于灰色关联赋权的地面沉降易发性模糊综合评价方法，对各地市地面沉降的易发性进行评价。基于此，选取地下水位监测数据充分的濮阳市作为典型区域，联合InSAR解译结果，分析地表形变与地下水位的关联性。结果 研究表明: 郑州市和濮阳市属于地面沉降高易发区，在避灾减损过程中应重点关注。濮阳市地面沉降主要集中在濮阳县南部、范县南部和台前县中部，台前县工业园区内发育的椭圆形沉降漏斗最大沉降量为523 mm，主要是由于超采地下水引起。1号、10号、12号测井水位变化与地面标高变化紧密相关，Pearson相关系数分别为0.55，0.68，0.65，8号测井水位变化与地面标高变化显著相关，相关系数为0.70。结论 控制地下水开采是解决城市地面沉降的重要举措之一。

关键词: 城市地面沉降；易发性评价；关联性；灰色关联赋权；模糊综合评价

doi: 10.16186/j.cnki.1673-9787.2025100023

基金项目: 国家自然科学基金资助项目（41671507）；自然资源部自然灾害防治体系建设专项（财资环〔2023〕116号、豫财环资〔2023〕136号）；自然资源部矿山时空信息与生态修复重点实验室开放基金重点项目（KLM202303）；河南省自然科学基金面上项目（252300420282）；河南省研究生教育改革与质量提升工程项目（YJS2026AL032，YJS2026XSKC16）

收稿日期：2025-10-20

修回日期：2026-03-10

网络首发日期：2026-04-10

Assessment of urban land subsidence susceptibility and deformation mechanism in typical areas of Henan Province

 Zhang Jing 1,2, Zheng Guangming1,2, Gao Yantao3, Li Chunyi 4,5, Zhou Wenlong4, Wang Yanyan3, Wang Shimin6

1. Henan Natural Resources Monitoring and Land Consolidation Institute, Zhengzhou 450016,Henan,China; 2. Key Laboratory of Geohazard Prevention and Control of Henan Province, Zhengzhou 450016, Henan,China; 3. Mineral Resources Exploration Center of Henan Geological Bureau, Zhengzhou 450000, Henan, China; 4. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan, China; 5. Key Laboratory of Mine Spatiotemporal Information and Ecological Restoration, MNR, Jiaozuo 454003,Henan,China; 6. ZKCX Technology Co., Ltd., Chengdu 610041, Sichuan, China

Abstract：Objectives With the intention of evaluating the susceptibility of urban land subsidence and its correlation with groundwater level in Henan Province, Methods Based on 982 Sentinel-1A SAR data sets, hydrogeological data, and basic geographic information data, this paper employed the Small Baseline Subset InSAR (SBAS-InSAR) technique to interpret the surface deformation across 17 prefecture-level cities in Henan Province. Through coordinate transformation and Gauss projection transformation, the land subsidence area of each city was obtained. Taking the annual average rainfall, population size, urban area, and groundwater storage as the characteristic sequences, and the subsidence area as the parent sequence, a fuzzy comprehensive evaluation method for land subsidence susceptibility based on grey relational weighting was constructed. This method was then applied to evaluate the land subsidence susceptibility of each prefecture-level city. On this basis, Puyang City where groundwater level monitoring data is sufficient—was selected as a typical study area. By combining the InSAR interpretation results, the correlation between surface deformation and groundwater level was analyzed. Results The results indicate that Zhengzhou City and Puyang City are high-susceptibility areas for land subsidence and should be given priority in disaster prevention and loss reduction efforts. In Puyang City, land subsidence is mainly concentrated in the southern part of Puyang County, the southern part of Fan County, and the central part of Taiqian County. An elliptical subsidence funnel developed in the Taiqian County Industrial Park has a maximum subsidence of 523 mm, primarily caused by the over-exploitation of groundwater. The groundwater level changes in three monitoring wells (1#, 10#, and 12#) are closely correlated with the changes in ground elevation, with Pearson correlation coefficients of 0.55, 0.68, and 0.65 respectively. The groundwater level change in Well No. 8 shows a significant correlation with ground elevation change, with a correlation coefficient of 0.70. Conclusions Controlling groundwater exploitation is one of the important measures to solve urban land subsidence.

Key words: urban land subsidence; susceptibility assessment; correlation; grey correlation weighting; fuzzy comprehensive evaluation