As an attempt to understand and reflect on the unique circumstances of communities in assessing landslide risk, the Dynaslope Project, under the Department of Science and Technology-Philippine Institute of Volcanology and Seismology (DOST-PHIVOLCS), conducts community landslide risk assessment (CLRA). It is a participatory process of assessing landslide hazards, exposure, vulnerabilities, and capacities of at-risk communities. CLRA includes hazard assessment, participatory community workshops, focus group discussions, and surveys. Risk components are assessed, and results are integrated through a semi-quantitative method that utilizes a scoring system with equivalent categorical labels, i.e., low, moderate, and high, to classify each risk component and the overall landslide risk. It was first conducted in four project sites. Priorities of the communities are taken into account in the assessment by letting them identify and validate the elements-at-risk, vulnerability, and capacity indicators, and the corresponding weights used in the scoring system. The results are presented in household-level risk maps and landslide risk assessment reports. Participatory identification of risk indicators helps in drawing out different community contexts which is useful in developing site-specific risk management strategies and actions.

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Assessing and Contextualizing Site-Specific Landslide Risk in the Philippines

  • Cathleen Joyce Cordero,
  • Kenneth Gesmundo,
  • Arturo Daag

摘要

As an attempt to understand and reflect on the unique circumstances of communities in assessing landslide risk, the Dynaslope Project, under the Department of Science and Technology-Philippine Institute of Volcanology and Seismology (DOST-PHIVOLCS), conducts community landslide risk assessment (CLRA). It is a participatory process of assessing landslide hazards, exposure, vulnerabilities, and capacities of at-risk communities. CLRA includes hazard assessment, participatory community workshops, focus group discussions, and surveys. Risk components are assessed, and results are integrated through a semi-quantitative method that utilizes a scoring system with equivalent categorical labels, i.e., low, moderate, and high, to classify each risk component and the overall landslide risk. It was first conducted in four project sites. Priorities of the communities are taken into account in the assessment by letting them identify and validate the elements-at-risk, vulnerability, and capacity indicators, and the corresponding weights used in the scoring system. The results are presented in household-level risk maps and landslide risk assessment reports. Participatory identification of risk indicators helps in drawing out different community contexts which is useful in developing site-specific risk management strategies and actions.