Resilient capacity assessment for geological failure areas: examples from communities affected by debris flow disaster

Abstract

This study establishes a novel method for assessing the community resilient capacity of debris flow disasters with appropriate parameters, such as responding, monitoring and communication capabilities. This study adopts eight communities in Taiwan, namely Nangang, Tongfu, Jhongyang, Laiyuan, Chingfu, Sinsheng, Shangan and Jyunkeng, as examples. First, the Analytic Hierarchy Process was applied to establish the framework of the community resiliency capacity, including the community's resources for disaster resilience and resident capabilities. The community's resources for disaster resilience are identified by surveying the community leaders via checklists. Resident capabilities are determined using questionnaires. The community resilient capacity refers to the sum of the results from these two investigations. The two investigations have similar weights, indicating that they are equally significant when evaluating community resilient capacity. Second, FLO-2D software is utilized for hazard analysis by simulation results of deposited areas for debris flows, and then these areas were categorized according to hazard degrees. Finally, the vulnerability of communities is classified based on the land use type. In summary, the values of capacity, hazard and vulnerability are integrated to determine the risk of debris flow for each community. A risk map is then generated

The efficiency of a risk reduction program for debris-flow disasters – a case study of the Songhe community in Taiwan

“…The assessment framework for community resilient capacity consists of five hierarchies proposed by Chen et al (2009). The first hierarchy is divided into the two stated categories.…”

Simulation of event-based landslides and debris flows at watershed level

“…The former generally describes the downslope displacement of the failed material from a landslide. Runouts are often confined within channels but can also be found on open slopes (Chen et al, 2009;Guthrie at al., 2010;Scheidl and Rickenmann, 2010). Frequently, runout is also used as an adjective in descriptions of such features as runout distance and runout path.…”

Kalman filter decision systems for debris flow hazard assessment

“…Various approaches for debris flow risk assessment have been proposed to solve debris flow-related problems (Calvo and Savi 2009;Chen et al 2009;Archetti and Lamberti 2003;Liu et al 2002). Among the available decision methods for debris flow risk assessment, the least squares methods served a simple but archetypal case (Chen et al 2008;Crosta and Frattini 2004;Chen and Lee 2000).…”

“…The effect of different vulnerability functions on the risk maps was explored and discussed. A different risk map was generated by Chen et al (2009), consisting three steps: First, the analytic hierarchy process was applied to establish the framework of the community resiliency capacity. Second, the FLO-2D software was utilized for hazard analysis by simulation results of deposited areas for debris flows.…”