A GIS-Based Flood Risk Assessment Utilizing the Analytic Hierarchy Process (AHP) for Determining the Relative Impact of Flood Susceptibility Parameters in Hagonoy, Bulacan

Proponent/s Name/s (Last Name, First Name, Middle Initial)

• Julia Madeleine N. Benitez, De La Salle UniversityFollow
• Kailey Rose D. Kemp, De La Salle UniversityFollow
• Gabriel Martin E. Sacro, De La Salle UniversityFollow
• Rebecca Ashley R. Villareal, De La Salle UniversityFollow

Document Types

Poster Presentation

Research Theme (for Paper Presentation and Poster Presentation submissions only)

Sustainability, Environment, and Energy (SEE)

School Name

De La Salle University

Track or Strand

Science, Technology, Engineering, and Mathematics (STEM)

Research Advisor (Last Name, First Name, Middle Initial)

De Guia, Leovine, L.

Start Date

25-6-2026 10:30 AM

End Date

25-6-2026 12:00 PM

Zoom Link/ Room Assignment

DLSU Laguna Campus (In-person) - John Gokongwei, Jr. Innovation Center (JGIC)

Abstract/Executive Summary

Flooding is one of the most widespread and destructive natural hazards globally. In the Philippines, a country frequently affected by tropical cyclones and monsoon rains, flooding has become a recurring and severe environmental problem. Rapid urban growth has further intensified flood risks, especially in low-lying and coastal areas where natural drainage systems are often disrupted. As a result, many communities face repeated damage to infrastructure, livelihoods, and local economies. The municipality of Hagonoy, Bulacan, exhibits distinct geographic and topographic features that contribute to its susceptibility to flooding, such as its proximity to bodies of water and its low elevation. This study examines the application of a GIS-based flood risk assessment framework combined with the Analytical Hierarchy Process to develop a flood susceptibility map for Hagonoy. Results showed that proximity to bodies of water is the most influential factor affecting flood susceptibility in Hagonoy, followed by elevation. Areas located near rivers, canals, and coastal zones were found to have the highest flood risk, while low-lying areas further increased the municipality’s vulnerability to flooding. The study provides a spatially grounded, data-driven basis for prioritizing flood mitigation efforts in the municipality of Hagonoy.

Keywords

flood susceptibility assessment; GIS-based assessment; flooding parameters; analytical hierarchy process; mapping

Initial Consent for Publication

yes

Statement of Originality

yes