Flood Susceptibility Dataset for Southern China Based on Seven-Model SHAP Attribution
Description
This dataset supports the study “Hydrological Proximity and Road Infrastructure Dominate Flood Susceptibility Over Rainfall: Seven-Model SHAP Attribution in Southern China.” It contains processed spatial datasets used for flood susceptibility modelling across the Pearl River Basin and adjacent coastal basins in southern China. The dataset includes historical flood observations, river networks, major rivers, road-network data, 3 km road kernel density, population density, urban extent, and other flood-related conditioning layers. These data were prepared to support seven-machine-learning-model flood susceptibility analysis, SHAP-based factor attribution, pixel-level uncertainty assessment, and basin-scale anthropogenic coupling analysis. The dataset is provided for reproducibility, validation, and further research on flood susceptibility, hydrological connectivity, infrastructure impacts, and subtropical flood-risk governance.
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Institutions
- Chongqing University of Posts and TelecommunicationsChongqing, Chongqing