A combined flood risk assessment with SWMM hydrological modelling and AHP based on multi-criteria decision-making
Yanping Li
MOE Lab of 3D Spatial Data Acquisition and Application, Capital Normal University, Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China
Tao Wang
MOE Lab of 3D Spatial Data Acquisition and Application, Capital Normal University, Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China
Xiwei Wang
MOE Lab of 3D Spatial Data Acquisition and Application, Capital Normal University, Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China
Xiaojuan Li
MOE Lab of 3D Spatial Data Acquisition and Application, Capital Normal University, Beijing, 100048, China
College of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, China
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Short summary
Short summary
This study produced the first sub-meter map of Spartina alterniflora in mainland China for 2020. Compared to the 10 m product, the sub-meter map achieved a 14.60% increase in overall accuracy, revealed a 57.73% discrepancy in spatial distribution, and detected 17 times more individual patches. The improved sensitivity to small patches significantly enhances early detection of Spartina alterniflora invasion. This finer mapping further refines soil carbon estimates and informs wetland management.
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