GIS-Based Modeling of Rain Garden Implementation Potential Using Evapotranspiration and Infiltration Determinants Across Philippine Climate Types for Flood Mitigation Applications

Document Types

Paper Presentation

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

Sustainability, Environment, and Energy (SEE)

School Name

De La Salle University, Manila

Track or Strand

Science, Technology, Engineering, and Mathematics (STEM)

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

Maniquiz-Redillas, Marla, C.

Start Date

25-6-2026 10:30 AM

End Date

25-6-2026 12:00 PM

Zoom Link/ Room Assignment

Online- https://zoom.us/j/92594857524 Meeting ID: 925 9485 7524 | Passcode: research

Abstract/Executive Summary

A rain garden is a form of a bioretention system and low-impact development (LID) blue-green infrastructure (BGI) utilizing infiltration techniques through small depressions and soil layers, and evapotranspiration through vegetation as a means of reducing surface runoff caused by precipitation and flooding in a given area. Given the recognition that floods worldwide rank among the most common and destructive disasters, especially in the Philippines, rain gardens are seen as a viable solution for effectively mitigating floods. However, the effectiveness of rain gardens depends on infiltration capacity and evapotranspiration. Thus, this study aims to develop a GIS-based model that integrates evapotranspiration and infiltration determinants from secondary sources and weights to identify areas in cities across four Philippine climate types under the Modified Coronas Classification: Biñan (Type I), Surigao (Type II), Lapu-Lapu (Type III), and Tacloban (Type IV), with high potential for rain garden implementation for flood mitigation. In the analysis, infiltration mapping varied across the four climate types: Biñan and Lapu-Lapu had more uniform general infiltration capacity, while Surigao and Tacloban had more varied capacity due to their mountainous landscapes. Analysis of evapotranspiration determinants showed close uniformity across the four locations, suggesting no significant differences among climate types. In the composite suitability mapping of rain gardens, most areas are in the ‘suitable’ category, with a significant portion of the maps marked ‘completely unsuitable’ due to extreme slope data. The results indicate that, despite differences in climate type, rain gardens are generally suitable for implementation across the four sites.

Keywords

geographic information system (GIS); low-impact development (LID); rain gardens; evapotranspiration; infiltration

Statement of Originality

yes

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Jun 25th, 10:30 AM Jun 25th, 12:00 PM

GIS-Based Modeling of Rain Garden Implementation Potential Using Evapotranspiration and Infiltration Determinants Across Philippine Climate Types for Flood Mitigation Applications

A rain garden is a form of a bioretention system and low-impact development (LID) blue-green infrastructure (BGI) utilizing infiltration techniques through small depressions and soil layers, and evapotranspiration through vegetation as a means of reducing surface runoff caused by precipitation and flooding in a given area. Given the recognition that floods worldwide rank among the most common and destructive disasters, especially in the Philippines, rain gardens are seen as a viable solution for effectively mitigating floods. However, the effectiveness of rain gardens depends on infiltration capacity and evapotranspiration. Thus, this study aims to develop a GIS-based model that integrates evapotranspiration and infiltration determinants from secondary sources and weights to identify areas in cities across four Philippine climate types under the Modified Coronas Classification: Biñan (Type I), Surigao (Type II), Lapu-Lapu (Type III), and Tacloban (Type IV), with high potential for rain garden implementation for flood mitigation. In the analysis, infiltration mapping varied across the four climate types: Biñan and Lapu-Lapu had more uniform general infiltration capacity, while Surigao and Tacloban had more varied capacity due to their mountainous landscapes. Analysis of evapotranspiration determinants showed close uniformity across the four locations, suggesting no significant differences among climate types. In the composite suitability mapping of rain gardens, most areas are in the ‘suitable’ category, with a significant portion of the maps marked ‘completely unsuitable’ due to extreme slope data. The results indicate that, despite differences in climate type, rain gardens are generally suitable for implementation across the four sites.

https://animorepository.dlsu.edu.ph/conf_shsrescon/2026/BoA_SEE/9