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Conducting a risk assessment of flood prone areas in the Philippines - A case study of Region III, Central Luzon

Guilando Sagandoy, Daisy LU (2025) In Student thesis series INES NGEK01 20251
Dept of Physical Geography and Ecosystem Science
Abstract (Swedish)
The Philippines is highly vulnerable to natural disasters, particularly flooding due to extreme climatic events, therefore efforts in reducing and managing associated risks are crucial. A case study for a flooding risk assessment based in Region III, Central Luzon was conducted through an exposure, damage, and risk analysis of economic and social factors for three different return periods with the aim to gain insights on vulnerabilities and risks associated with fluvial flooding. The results show some considerable flooding risk for Central Luzon, although with varying spatial extent and depth for the different flooding scenarios, along with increasing economic and social vulnerabilities and risks for higher return periods. The maximum... (More)
The Philippines is highly vulnerable to natural disasters, particularly flooding due to extreme climatic events, therefore efforts in reducing and managing associated risks are crucial. A case study for a flooding risk assessment based in Region III, Central Luzon was conducted through an exposure, damage, and risk analysis of economic and social factors for three different return periods with the aim to gain insights on vulnerabilities and risks associated with fluvial flooding. The results show some considerable flooding risk for Central Luzon, although with varying spatial extent and depth for the different flooding scenarios, along with increasing economic and social vulnerabilities and risks for higher return periods. The maximum estimated damages quantify and provide an overview of potential assets at flooding risk. Future improvements for developing local damage trends based on empirical data derived from the Philippines and additional analysis for mortality and other social vulnerability factors is needed for refining geospatial risk assessments which are vital for guiding local governmental units in developmental planning and enhancing resilience and preparedness. (Less)
Please use this url to cite or link to this publication:
author
Guilando Sagandoy, Daisy LU
supervisor
organization
course
NGEK01 20251
year
type
M2 - Bachelor Degree
subject
publication/series
Student thesis series INES
report number
710
language
English
id
9201941
date added to LUP
2025-06-19 11:28:55
date last changed
2025-06-19 11:28:55
@misc{9201941,
  abstract     = {{The Philippines is highly vulnerable to natural disasters, particularly flooding due to extreme climatic events, therefore efforts in reducing and managing associated risks are crucial. A case study for a flooding risk assessment based in Region III, Central Luzon was conducted through an exposure, damage, and risk analysis of economic and social factors for three different return periods with the aim to gain insights on vulnerabilities and risks associated with fluvial flooding. The results show some considerable flooding risk for Central Luzon, although with varying spatial extent and depth for the different flooding scenarios, along with increasing economic and social vulnerabilities and risks for higher return periods. The maximum estimated damages quantify and provide an overview of potential assets at flooding risk. Future improvements for developing local damage trends based on empirical data derived from the Philippines and additional analysis for mortality and other social vulnerability factors is needed for refining geospatial risk assessments which are vital for guiding local governmental units in developmental planning and enhancing resilience and preparedness.}},
  author       = {{Guilando Sagandoy, Daisy}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Student thesis series INES}},
  title        = {{Conducting a risk assessment of flood prone areas in the Philippines - A case study of Region III, Central Luzon}},
  year         = {{2025}},
}