Mathematics & Computational Science · Research Study

Predicting where Minglanilla's streets flood before the rain does.

A GIS-based computational framework that scores every road segment in Subdivision Phase 3, Barangay Tungkil, against six causative factor groups — turning drainage inspections into a repeatable, mappable index.

Study Site
Brgy. Tungkil, Minglanilla
Causative Factors
6 groups · 15 variables
Core Methods
Rational Method + Manning's Eq.
Output
GIS Susceptibility Maps
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02 — Multi-Factor Model

Six factor groups feed one susceptibility index.

Each road segment is scored on physical, hydrological, and human-driven conditions, then combined into a single classification: low, moderate, or high susceptibility.

01

Drainage System

  • Structure type
  • Dimensions
  • Shape
  • Built span (age)
  • Structural condition
  • Hydraulic capacity
02

Topographic

  • Elevation
  • Slope
03

Rainfall

  • Rainfall amount
  • Rainfall intensity
04

Lithological

  • Soil type
  • Infiltration capacity
05

Infrastructure Development

  • Building density
  • Impervious surface %
06

Environmental

  • Garbage accumulation
  • Drainage obstruction
  • Vegetation cover
04 — Study Site

Deca Homes, Barangay Tungkil

A residential subdivision within Minglanilla, Cebu, selected for its recurring street-flooding reports and mixed drainage infrastructure.

high-susceptibility node
  • ProvinceCebu, Central Visayas, Philippines
  • MunicipalityMinglanilla
  • BarangayTungkil
  • SiteSubdivision Phase 3 — residential road network with box culverts, pipe culverts, and open canals
  • StakeholdersMunicipal Engineering Office, Municipal DRRM Office, Barangay Tungkil
05 — Weather Monitoring

Live weather conditions for the Tungkil study site

Check current conditions, short-term rainfall outlook, and the next few hours of forecast data around Subdivision Phase 3.

📍 Tungkil, Minglanilla, Cebu

Weather Forecast

Realtime conditions for your selected location.

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