Research Assistant
Golden, Colorado, United States
In the Arequipa region in Peru, numerous geoenvironmental hazards impact the daily life of small communities situated in the mountains, on the coastline, and in the hills in between. A lack of hazard susceptibility characterization in the region means that there is limited capability to predict and mitigate hazards, leaving small communities without the necessary tools to reduce their vulnerability to hazards. The primary focus of this study is to remotely characterize geoenvironmental hazards at ten sites in the Arequipa region, including landslides, debris flows, flooding, erosion, liquefaction, rockfall, and seismic and volcanic hazards. An array of hazard mapping techniques is used to develop hazard inventories from aerial imagery and adaptations of existing hazard rating systems to produce preliminary hazard maps of the ten sites. Next, we calibrate the preliminary maps through field observations, local community knowledge, and other published hazard inventories. Then we create GIS-based models for automatic mapping of hazard identification and susceptibility and validate the models against our maps. These methodologies will decrease the dependency on time-consuming field investigations to characterize geoenvironmental hazards in remote sites, providing preliminary maps that improve upon current approaches in the literature. While these maps are no substitute for field-confirmed maps, they are an important resource to help prioritize future mapping and investigation efforts. A diverse assortment of environments and hazards are included in this research; thus, the resulting framework is expected to be relevant for further hazards analysis in Peru and other countries with similar hazards and geomorphic and climatic settings. Community members, local governments, and hazard and disaster-focused organizations will be able to implement these methodologies to prepare for hazardous events and develop mitigation strategies at a community level.