%0 Dataset
%T Dataset of Calculated Indicators for Flood Control Economic Ecological Subsystems under Three Scenarios of Huangcaowei，Chu River Basin
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/2ac88708-fec9-4aff-8fba-68322532e974
%W NCDC
%R 10.12072/ncdc.nhri.db6796.2025
%A Wang Yuhui
%K Flood storage areas;ecological value accounting;sustainable development
%X This dataset focuses on evaluating the sustainability of Huangcaowei flood detention areas, covering three subsystems: economic resources, flood control capacity, and ecological functions, with a total of 17 specific indicators assessed. The economic resource subsystem includes indicators such as economic crop output, energy consumption per unit GDP, aquaculture efficiency, and electricity consumption per unit GDP, which are used to evaluate the output capacity and resource utilization efficiency of regional economic activities. The flood control subsystem includes indicators such as the loss value per acre of conventional economic crops, relocation costs per person, loss value per acre of aquaculture water area, housing repair costs, flood storage water level, and flood storage volume, primarily reflecting the impact of flood disasters on regional economies and society as well as flood control capacity. The ecological function subsystem assesses the value of ecosystem services, including climate regulation, water purification, air purification, soil conservation, carbon sequestration, biodiversity, and scientific research and education, to quantify the role of flood detention areas in ecosystem services and sustainable development.The dataset also includes predictive data under three development scenarios: a scenario based on the current development level of Huangcaowei with reduced farmland and wetland ecological functions, a scenario reflecting the current development level, and a scenario based on the ecological transformation of farmland and the expansion of wetland areas on the current development level. These scenarios aim to evaluate the sustainability of different development models.This dataset can be applied in areas such as regional sustainability analysis, ecological benefit evaluation, land use planning, and flood control management.