An Integrated Bayesian Network and Geographic Information System (Bn‑Gis) Approach for Flood Disaster Risk Assessment.
The study presents an innovative approach for flood disaster risk assessment and ecological monitoring using Bayesian networks (BNs) and geographic information systems (GIS). By integrating diverse data sources, the BN-GIS model provides a holistic risk profile of flood-prone urban ecosystems in Yinchuan, China. This approach allows for mapping vulnerable hotspots, quantifying uncertainties, and informing sustainable urban planning and disaster resilience efforts.