Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS

Moung Jin Lee; Jung Eun Kang; Seongwoo Jeon

doi:10.1109/IGARSS.2012.6351414

Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS

Moung Jin Lee, Jung Eun Kang, Seongwoo Jeon

Research output: Contribution to conference › Paper › peer-review

162 Citations (Scopus)

Abstract

Recently there has been an increasing occurrence of flooded area in Korea. Most of these flooded area occurred roadside in the city or residential areas. For predictive flooded area susceptibility mapping, this study applied and verified probability model, the frequency ratio at Busan, Korea, using a Geographic Information System (GIS) and Statistical methods. Flooded areas were identified in the study area of field surveys, and maps of the topography, geology, landcover and green infrastructure were constructed to spatial database. Using this analysis results, part of urban planning can find ideal locations for GIS which are needed. This result expects that this planning framework can bring flood mitigation of city.

Original language	English
Pages	895-898
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351414
Publication status	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012 Jul 22 → 2012 Jul 27

Other

Other	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	12/7/22 → 12/7/27

Keywords

Flooded area
Geographic Information System (GIS)
frequency ratio
susceptibility mapping

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

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10.1109/IGARSS.2012.6351414

Cite this

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title = "Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS",

abstract = "Recently there has been an increasing occurrence of flooded area in Korea. Most of these flooded area occurred roadside in the city or residential areas. For predictive flooded area susceptibility mapping, this study applied and verified probability model, the frequency ratio at Busan, Korea, using a Geographic Information System (GIS) and Statistical methods. Flooded areas were identified in the study area of field surveys, and maps of the topography, geology, landcover and green infrastructure were constructed to spatial database. Using this analysis results, part of urban planning can find ideal locations for GIS which are needed. This result expects that this planning framework can bring flood mitigation of city.",

keywords = "Flooded area, Geographic Information System (GIS), frequency ratio, susceptibility mapping",

author = "Lee, {Moung Jin} and Kang, {Jung Eun} and Seongwoo Jeon",

year = "2012",

doi = "10.1109/IGARSS.2012.6351414",

language = "English",

pages = "895--898",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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AU - Lee, Moung Jin

AU - Kang, Jung Eun

AU - Jeon, Seongwoo

PY - 2012

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N2 - Recently there has been an increasing occurrence of flooded area in Korea. Most of these flooded area occurred roadside in the city or residential areas. For predictive flooded area susceptibility mapping, this study applied and verified probability model, the frequency ratio at Busan, Korea, using a Geographic Information System (GIS) and Statistical methods. Flooded areas were identified in the study area of field surveys, and maps of the topography, geology, landcover and green infrastructure were constructed to spatial database. Using this analysis results, part of urban planning can find ideal locations for GIS which are needed. This result expects that this planning framework can bring flood mitigation of city.

AB - Recently there has been an increasing occurrence of flooded area in Korea. Most of these flooded area occurred roadside in the city or residential areas. For predictive flooded area susceptibility mapping, this study applied and verified probability model, the frequency ratio at Busan, Korea, using a Geographic Information System (GIS) and Statistical methods. Flooded areas were identified in the study area of field surveys, and maps of the topography, geology, landcover and green infrastructure were constructed to spatial database. Using this analysis results, part of urban planning can find ideal locations for GIS which are needed. This result expects that this planning framework can bring flood mitigation of city.

KW - Flooded area

KW - Geographic Information System (GIS)

KW - frequency ratio

KW - susceptibility mapping

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T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Application of frequency ratio model and validation for predictive flooded area susceptibility mapping using GIS

Abstract

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Keywords

ASJC Scopus subject areas

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