%0 Dataset
%T Dataset for ecological risk assessment of Chinese cities under water resource constraints (2022)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/fb412d32-73a6-473d-9738-2d259dedbcd5
%W NCDC
%R 10.12072/ncdc.iueltyjz.db6866.2025
%A Jia Zixu
%K Water resource constraints;urban ecological risks;hazard exposure vulnerability water resources
%X This dataset provides the 2022 China Urban Ecological Risk Assessment Index and constructs a four-dimensional risk assessment framework of "Hazard Exposure Vulnerability Water Resource Constraint (H-E-V-W)" that integrates water resource constraints. The data covers 16 secondary indicators including climate, land use, vegetation, water resources, and socio-economic factors, all sourced from authoritative public databases such as remote sensing products, climate reanalysis data, land cover data, and statistical yearbooks. By normalizing and combining Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) to calculate comprehensive weights, two types of urban ecological risk indices were finally formed: Urban Ecological Risk Index without Water Resource Constraints (UERHEV) and Urban Ecological Risk Index with Water Resource Constraints (UERHEVW). After normalizing the risk indices, they were divided into five risk levels using the equidistant method (0-0.2 for low risk, 0.2-0.4 for low risk, 0.4-0.6 for medium risk, 0.6-0.8 for high risk, and 0.8-1.0 for high risk).