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.

doi: 10.16186/j.cnki.1673-9787.2025100023

Received： 2025-10-20

Revised： 2026-03-10

Online： 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