PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 23, 2026Natural Hazards Research2 citationsOpen Access

When Artificial Intelligence Meets Cultural Knowledge: Forecasting Storm Surge Risks, Predicting Disaster Preparedness, and Building Resilient Coastal Communities in the Philippines

View Full Paper
EOEmmanuel A. OnsayJVJerald M. VelascoGSGirly B. Sumaculub

Key Points

  • This research aims to evaluate the impacts of storm surges and community responses to disasters in Bicol, Philippines.
  • Conducted a mixed-method analysis utilizing 7,925 household observations and 13 in-depth narratives.
  • Employed quantitative methods including PCA logistic regression, random forest, XGBoost, and decision tree.
  • Implemented qualitative approaches such as hermeneutic phenomenology and thematic analysis.
  • Identified significant positive associations between disaster preparedness and housing quality, utilities, and livelihood.
  • Forecasted storm surge risks utilizing random forest ranking barangays by susceptibility.
  • Introduced culturally grounded frameworks for disaster risk reduction and management.

Abstract

This study assesses immediate storm surge impacts and community responses to Supertyphoon Pepito in Bicol, Philippines, and provides a comprehensive mixed-method analysis of storm surge risk and disaster risk preparedness. Drawing on 7,925 household observations from CBMS and 13 in-depth household narratives, we (1) document Pepito ’s localized impacts and community coping rooted in ecological cues, faith, and collective action; (2) forecast hazard, exposure, sensitivity, adaptive capacity, and vulnerability; (3) predict disaster risk preparedness; and (4) evaluate the lived experiences and resilience of the community. Methodologically, we integrate quantitative (PCA logistic regression, Random Forest, XGBoost, SVM, Decision Tree) and qualitative approaches (hermeneutic phenomenology, narrative inquiry, thematic analysis, and anthropology at home). PCA reduced seven domains (housing, utilities, assets, livelihood, education, demography, and environmental vulnerability) into categories used as predictors. Econometric results show significant positive associations between preparedness and housing quality (β = 0.24, p < 0.01), utilities (β ≈ 0.32, p < 0.01), assets and connectivity (β ≈ 0.45, p < 0.001), livelihood (farming β = 0.67; fishing β = 1.28; p < 0.001), and prior calamity exposure (β = 0.22, p < 0.01). Random Forest forecasts rank barangays by susceptibility as follows: Tagas (19.5, Very High), Telegrafo (18.8, High), and Sabang (18.0, High), while XGBoost yields the highest prediction accuracy (0.87–0.93). Qualitative findings emphasize hybrid readiness, where indigenous ecological indicators complement scientific warnings. We introduce three culturally grounded frameworks, ORAGON, ILAWOD, and TANDAYAG, that integrate science, culture, and community values in disaster management. ORAGON embodies Bicolano courage and collective adaptation, ILAWOD promotes a whole-of-community DRRM approach, and TANDAYAG reflects the spiritual belief that “the sea fights the typhoon.” We advocate culturally sensitive DRRM policies that integrate local knowledge with data-driven forecasts to strengthen community collaboration, government accountability, and sustainable environmental stewardship, prioritizing targeted infrastructure, early warning, and livelihood support interventions in high-risk barangays.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Onsay et al. (2026) studied this question.

synapsesocial.com/papers/699ba05e72792ae9fd86fc56https://doi.org/10.1016/j.nhres.2026.02.005
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Traditional Weather Forecasting in the Age of Climate Change: Folk Meteorology, Indigenous Knowledge, Disaster Preparedness, and Coastal Resilience in the Philippines2026
  2. 2Public Opinion in Disaster Contexts: Indigenous Knowledge and the SALIGAN Framework in the Philippines2026
  3. 3Indigenous knowledge systems for typhoon resilience: evidence-based lessons from the Philippines’ Agta communities for disaster risk reduction and crime prevention2026
  4. 4Beyond warnings: A perspective on disaster response and preparedness in the Philippines2025
  5. 5Disaster Management Awareness And Indigenous Practices In Barangay Pinsao Proper, Baguio City2025