Simulation modeling for a resilience improvement plan for natural disasters in a coastal area

Kihwan Song, Soojin You, Jinhyung Chon

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Floods are threats to ecosystems that are caused by natural disasters such as typhoons and heavy rain, and to respond to these threats, resilience needs to be improved. In this study, the response of the social-ecological system of Haeundae-gu (Busan, Republic of Korea) to disasters is analyzed by using a causal loop diagram, and a resilience improvement plan is presented by simulating the disaster resilience using green infrastructure through the System Resilience Dynamics Model. First, the resilience values are highest when green infrastructure is applied at the maximum applicable ratio (30%) compared with no application. Second, in the public and private areas of Haeundae-gu, resilience according to green roof scenario was higher until approximately 8 h after the beginning of rainfall, but then the resilience according to infiltration storage facility scenario was higher. In the transportation and industrial areas, the overall resilience according to infiltration storage facility scenario was higher than the resilience according to porous pavement scenario. This study demonstrates that a resilience improvement plan based on simulation can support decision making to respond to disasters such as typhoons.

Original languageEnglish
JournalEnvironmental Pollution
DOIs
Publication statusAccepted/In press - 2018 Jan 1

Fingerprint

Disasters
Cyclonic Storms
Computer simulation
Infiltration
Ecosystem
Rain
Republic of Korea
Pavements
Roofs
Ecosystems
Dynamic models
Decision Making
Decision making

Keywords

  • Coastal resilience
  • Ecosystem threats
  • Green infrastructure
  • System dynamics

ASJC Scopus subject areas

  • Toxicology
  • Pollution
  • Health, Toxicology and Mutagenesis

Cite this

Simulation modeling for a resilience improvement plan for natural disasters in a coastal area. / Song, Kihwan; You, Soojin; Chon, Jinhyung.

In: Environmental Pollution, 01.01.2018.

Research output: Contribution to journalArticle

@article{99e29e9dece44d428a00a0bd2a5ce656,
title = "Simulation modeling for a resilience improvement plan for natural disasters in a coastal area",
abstract = "Floods are threats to ecosystems that are caused by natural disasters such as typhoons and heavy rain, and to respond to these threats, resilience needs to be improved. In this study, the response of the social-ecological system of Haeundae-gu (Busan, Republic of Korea) to disasters is analyzed by using a causal loop diagram, and a resilience improvement plan is presented by simulating the disaster resilience using green infrastructure through the System Resilience Dynamics Model. First, the resilience values are highest when green infrastructure is applied at the maximum applicable ratio (30{\%}) compared with no application. Second, in the public and private areas of Haeundae-gu, resilience according to green roof scenario was higher until approximately 8 h after the beginning of rainfall, but then the resilience according to infiltration storage facility scenario was higher. In the transportation and industrial areas, the overall resilience according to infiltration storage facility scenario was higher than the resilience according to porous pavement scenario. This study demonstrates that a resilience improvement plan based on simulation can support decision making to respond to disasters such as typhoons.",
keywords = "Coastal resilience, Ecosystem threats, Green infrastructure, System dynamics",
author = "Kihwan Song and Soojin You and Jinhyung Chon",
year = "2018",
month = "1",
day = "1",
doi = "10.1016/j.envpol.2018.07.057",
language = "English",
journal = "Environmental Pollution",
issn = "0269-7491",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Simulation modeling for a resilience improvement plan for natural disasters in a coastal area

AU - Song, Kihwan

AU - You, Soojin

AU - Chon, Jinhyung

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Floods are threats to ecosystems that are caused by natural disasters such as typhoons and heavy rain, and to respond to these threats, resilience needs to be improved. In this study, the response of the social-ecological system of Haeundae-gu (Busan, Republic of Korea) to disasters is analyzed by using a causal loop diagram, and a resilience improvement plan is presented by simulating the disaster resilience using green infrastructure through the System Resilience Dynamics Model. First, the resilience values are highest when green infrastructure is applied at the maximum applicable ratio (30%) compared with no application. Second, in the public and private areas of Haeundae-gu, resilience according to green roof scenario was higher until approximately 8 h after the beginning of rainfall, but then the resilience according to infiltration storage facility scenario was higher. In the transportation and industrial areas, the overall resilience according to infiltration storage facility scenario was higher than the resilience according to porous pavement scenario. This study demonstrates that a resilience improvement plan based on simulation can support decision making to respond to disasters such as typhoons.

AB - Floods are threats to ecosystems that are caused by natural disasters such as typhoons and heavy rain, and to respond to these threats, resilience needs to be improved. In this study, the response of the social-ecological system of Haeundae-gu (Busan, Republic of Korea) to disasters is analyzed by using a causal loop diagram, and a resilience improvement plan is presented by simulating the disaster resilience using green infrastructure through the System Resilience Dynamics Model. First, the resilience values are highest when green infrastructure is applied at the maximum applicable ratio (30%) compared with no application. Second, in the public and private areas of Haeundae-gu, resilience according to green roof scenario was higher until approximately 8 h after the beginning of rainfall, but then the resilience according to infiltration storage facility scenario was higher. In the transportation and industrial areas, the overall resilience according to infiltration storage facility scenario was higher than the resilience according to porous pavement scenario. This study demonstrates that a resilience improvement plan based on simulation can support decision making to respond to disasters such as typhoons.

KW - Coastal resilience

KW - Ecosystem threats

KW - Green infrastructure

KW - System dynamics

UR - http://www.scopus.com/inward/record.url?scp=85050480944&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050480944&partnerID=8YFLogxK

U2 - 10.1016/j.envpol.2018.07.057

DO - 10.1016/j.envpol.2018.07.057

M3 - Article

C2 - 30061081

AN - SCOPUS:85050480944

JO - Environmental Pollution

JF - Environmental Pollution

SN - 0269-7491

ER -