Mapping landslide susceptibility and critical infrastructure for spatial decision-making

摘要: Landslides pose risks to people, environments and slope infrastructures. Several methodologies have emerged to determine the susceptibility of landslides and their locations. However, susceptibility alone does not provide information about how a landslide will affect infrastructure, making it difficult to understand potential impacts for developing mitigation plans and fortifying vulnerable slopes. The authors propose mapping landslide susceptibility around critical infrastructure, then overlaying and analysing the results to facilitate investment decisions for risk mitigation and resilience. They map multi-temporal landslide susceptibility in Nepal and create an integrated index, then analyse the index with critical infrastructure. This process identifies landslide-prone infrastructures that require investments for mitigation. A web application is developed for easy dissemination of spatial information. They developed the framework in Nepal and found that Province 4 and Province 3 have more landslide-prone infrastructure than other provinces, and thus require mitigation plans and investments. The proposed solution is scalable to other regions to facilitate policy and investment planning to reduce landslide risk.