A recent study from Iran has mapped flood susceptibility in the Kashkan Basin using advanced machine learning models enhanced with PSO. By combining CMIP6 climate data and CA-Markov land use projections, researchers accurately forecast future flood risks. This approach offers practical insights for urban planning and disaster management, demonstrating the effective integration of digital technologies in environmental monitoring.
Q&A
- What is flood susceptibility mapping?
- How does PSO optimization contribute in the study?
- How do climate projections and LULC changes influence flood risk?