Development and Prioritization of Flood Vulnerability Indicators for Nabunturan, Davao de Oro

Authors

  • Frincess Jade C. Cajano Professional Schools, University of Mindanao, Talomo, Davao City, Davao del Sur; Institute of Leadership, Entrepreneurship and Good Governance, Davao del Norte State College, New Visayas, Panabo City, Davao del Norte https://orcid.org/0009-0001-9709-9232
  • Alex S. Olpenda University of Mindanao, Talomo, Davao City, Davao del Sur; 3Department of Forest Resource Management, College of Forestry and Environmental Science, Central Mindanao University, Maramag, Bukidnon https://orcid.org/0000-0002-7044-3275

DOI:

https://doi.org/10.59120/drj.v16i2.373

Keywords:

Analytical Hierarchy Process (AHP), Disaster Risk Reduction (DRR), Delphi Fuzzy Method (FDM), Flood Vulnerability Index (FVI), UNESCO-IHE Institute for Water Education

Abstract

Flooding remains one of the most prevalent and destructive natural hazards, threatening infrastructure, livelihoods, and communities worldwide. This study conducted a systematic assessment of flood vulnerability in Nabunturan, Davao de Oro, a municipality prone to recurrent flooding. Utilizing the UNESCO-IHE flood vulnerability indicators, the research examined the Social, Economic, Environmental, and Physical components of vulnerability. These indicators were categorized into three subdimensions—exposure, susceptibility, and resilience—and were evaluated using the Fuzzy Delphi Method (FDM) to achieve expert consensus, followed by the Analytical Hierarchy Process (AHP) to prioritize key factors influencing flood vulnerability. The study identified and prioritized 27 flood vulnerability indicators, with normalized weights (ranging from 0 to 1) derived from the Fuzzy Delphi Method (FDM) and Analytical Hierarchy Process (AHP), reflecting the relative importance of each factor. Higher-weighted indicators serve as the basis for prioritization of risk reduction actions and resilience-building efforts. The study revealed the indicators with the highest weights per component, arranged in exposure, susceptibility, and resilience, respectively. Social Component: Population in Flood-prone Areas (0.3114); Past Experience (0.4314); Shelters/Hospitals (0.2685). Economic Component: Land Use (0.5230); Quality of Infrastructure (0.6149); Amount of Investment (1.0). Environmental Component: Degraded Area (1.0); Rainfall (0.5091); Green Area (1.0). Physical Component: Topography (0.2958); Frequency of Occurrence (1.0); Dikes/Levees (1.0). The weighted indicators can support the computation of a Flood Vulnerability Index (FVI), informing Barangay Disaster Risk Reduction and Management Plans (BDRRMPs), enhancing the Climate and Disaster Risk Assessment (CDRA), and guiding targeted risk reduction and adaptation programs.

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 Flooding is a serious issue in the Philippines and vulnerability assessments help to identify potentially at risk areas

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Published

2025-05-09

How to Cite

Cajano, F. J. C., & Olpenda, A. S. (2025). Development and Prioritization of Flood Vulnerability Indicators for Nabunturan, Davao de Oro. Davao Research Journal, 16(2), 30-48. https://doi.org/10.59120/drj.v16i2.373

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