Cangzhou City in North China Plain has long suffered from severe land subsidence. In this paper, a comprehensive risk assessment of land subsidence in Cangzhou City was carried out by establishing a risk assessment index system and a weighted comprehensive evaluation model, and utilizing methods such as the Analytic Hierarchy Process (AHP) and ArcGIS spatial analysis. The hazardousness assessment factors included topography, thickness of loose sediments, thickness of clayey soil layers, number of main groundwater exploitation layers, accumulated land subsidence, land subsidence rate, and exploitation intensity of groundwater. Vulnerability was assessed based on indicators such as population density, GDP per unit area, proportion of construction land, density of major linear projects, and elevation. The results indicate that very high risk areas cover 1.3%, high risk areas cover 3.5%,medium risk areas cover 50.9%, low risk areas cover 25.2%, and very low risk areas cover 19.1%. The findings provide valuable insights for land subsidence prevention and management, proposing targeted measures to mitigate the impacts of subsidence. This research emphasizes the importance of proactive risk assessment and management in controlling land subsidence in rapidly urbanizing areas.

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Risk Assessment of Land Subsidence in Cangzhou City, North China Plain

  • Xisheng Zang,
  • Haipeng Guo,
  • Jiajia Tang,
  • Yunlong Wang,
  • Hui Li,
  • Chaoqun Li,
  • Yongwei Zhang,
  • Linghai Zeng

摘要

Cangzhou City in North China Plain has long suffered from severe land subsidence. In this paper, a comprehensive risk assessment of land subsidence in Cangzhou City was carried out by establishing a risk assessment index system and a weighted comprehensive evaluation model, and utilizing methods such as the Analytic Hierarchy Process (AHP) and ArcGIS spatial analysis. The hazardousness assessment factors included topography, thickness of loose sediments, thickness of clayey soil layers, number of main groundwater exploitation layers, accumulated land subsidence, land subsidence rate, and exploitation intensity of groundwater. Vulnerability was assessed based on indicators such as population density, GDP per unit area, proportion of construction land, density of major linear projects, and elevation. The results indicate that very high risk areas cover 1.3%, high risk areas cover 3.5%,medium risk areas cover 50.9%, low risk areas cover 25.2%, and very low risk areas cover 19.1%. The findings provide valuable insights for land subsidence prevention and management, proposing targeted measures to mitigate the impacts of subsidence. This research emphasizes the importance of proactive risk assessment and management in controlling land subsidence in rapidly urbanizing areas.