Assessing the susceptibility of schools to flood events in Iran.

摘要: Catastrophic floods cause deaths, injuries, and property damages in communities around the world. The losses can be worse among those who are more vulnerable to exposure this enhanced by communities' vulnerabilities. People undeveloped developing countries, like Iran, may exposed flood hazards. In study we investigate vulnerabilities of 1622 schools hazard Chaharmahal Bakhtiari Province, Iran. We used four machine learning models produce susceptibility maps. analytic hierarchy process method was with distance from create a school-focused flood-risk map. results indicate that 492 rural 147 urban very high-risk locations. Furthermore, 54% students 8% locations high risk. situation should examined closely mitigating actions urgently needed.