TY - JOUR
T1 - Estimation of Direct and Indirect Economic Losses Caused by a Flood With Long-Lasting Inundation
T2 - Application to the 2011 Thailand Flood
AU - Tanoue, M.
AU - Taguchi, R.
AU - Nakata, S.
AU - Watanabe, S.
AU - Fujimori, S.
AU - Hirabayashi, Y.
N1 - Funding Information:
This paper was supported by the Environment Research and Technology Development Fund (S‐14 and 2‐2005) of the Environmental Restoration and Conservation Agency of Japan; the Integrated Research Program for Advancing Climate Models of the Ministry of Education, Culture, Sports, Science, and Technology of Japan; and a grant‐in‐aid of scientific research (ID: 18H01540) from the Japan Society for the Promotion of Science. River discharge data at sites C2 and C13 were obtained by the Royal Irrigation Department, Thailand, and provided by the project entitled Advancing Co‐design of Integrated Strategies with Adaptation to Climate Change in Thailand (ADAP‐T) supported by the Science and Technology Research Partnership for Sustainable Development, JST‐JICA, Japan. S14FD was downloaded from http://search.diasjp.net/en/dataset/S14FD . The code for CaMa‐Flood can be downloaded from http://hydro.iis.u‐tokyo.ac.jp/~yamadai/cama‐flood/ . AIM/CGE is not available in a publicly shareable version. The code will continue to be developed and hosted by Kyoto University, Department of Environmental Engineering ( http://www.athehost.env.kyoto‐u.ac.jp/ ). Requests for the code should be addressed to Shinichiro Fujimori. The developers allow the use of the code only for review and not for research purposes. The CaMa‐Flood and AIM/CGE model simulation data used for drawing the figures are available for research purposes at http://www.db.shibaura‐it.ac.jp/~hirabayashi/research/Tanoue2020WRR/index.html .
Funding Information:
This paper was supported by the Environment Research and Technology Development Fund (S-14 and 2-2005) of the Environmental Restoration and Conservation Agency of Japan; the Integrated Research Program for Advancing Climate Models of the Ministry of Education, Culture, Sports, Science, and Technology of Japan; and a grant-in-aid of scientific research (ID: 18H01540) from the Japan Society for the Promotion of Science. River discharge data at sites C2 and C13 were obtained by the Royal Irrigation Department, Thailand, and provided by the project entitled Advancing Co-design of Integrated Strategies with Adaptation to Climate Change in Thailand (ADAP-T) supported by the Science and Technology Research Partnership for Sustainable Development, JST-JICA, Japan. S14FD was downloaded from http://search.diasjp.net/en/dataset/S14FD. The code for CaMa-Flood can be downloaded from http://hydro.iis.u-tokyo.ac.jp/~yamadai/cama-flood/. AIM/CGE is not available in a publicly shareable version. The code will continue to be developed and hosted by Kyoto University, Department of Environmental Engineering (http://www.athehost.env.kyoto-u.ac.jp/). Requests for the code should be addressed to Shinichiro Fujimori. The developers allow the use of the code only for review and not for research purposes. The CaMa-Flood and AIM/CGE model simulation data used for drawing the figures are available for research purposes at http://www.db.shibaura-it.ac.jp/~hirabayashi/research/Tanoue2020WRR/index.html.
Publisher Copyright:
©2020. American Geophysical Union. All Rights Reserved.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - River floods are common natural disasters that cause serious economic damage worldwide. In addition to direct economic damage, such as the destruction of physical assets, floods with long-lasting inundation cause direct and indirect economic losses within and outside the affected area. Direct economic losses include loss of opportunity, due to interruption of business activities, and the costs associated with emergency measures such as cleaning, while indirect economic losses affect sectors within the trade and supply network. Few studies have explicitly estimated direct and indirect economic losses in several sectors, due to the difficulty of modeling inundation depth and period at finer scales. Here we developed a global modeling framework to estimate the direct and indirect economic losses associated with floods using a computable general equilibrium model and a global river and inundation model, which can simulate the flood extent, depth, and period. Application of the method to the 2011 Thailand flood demonstrated that the estimated economic losses due to business interruption in the industry and service sectors totaled $14.7 billion, which was about two thirds of the estimated direct economic damage caused by the flood ($22.0 billion). The estimated indirect economic losses reduced the gross domestic product of Thailand by 4.81% in 2011, without considering transboundary effects, and will cause more than 0.5% reduction in gross domestic product even in 2030, resulting in $55.3 billion of total losses from 2011 to 2030. Comprehensive estimation of direct and indirect economic losses facilitates understanding of various types of flood-related economic risks during and after a flood.
AB - River floods are common natural disasters that cause serious economic damage worldwide. In addition to direct economic damage, such as the destruction of physical assets, floods with long-lasting inundation cause direct and indirect economic losses within and outside the affected area. Direct economic losses include loss of opportunity, due to interruption of business activities, and the costs associated with emergency measures such as cleaning, while indirect economic losses affect sectors within the trade and supply network. Few studies have explicitly estimated direct and indirect economic losses in several sectors, due to the difficulty of modeling inundation depth and period at finer scales. Here we developed a global modeling framework to estimate the direct and indirect economic losses associated with floods using a computable general equilibrium model and a global river and inundation model, which can simulate the flood extent, depth, and period. Application of the method to the 2011 Thailand flood demonstrated that the estimated economic losses due to business interruption in the industry and service sectors totaled $14.7 billion, which was about two thirds of the estimated direct economic damage caused by the flood ($22.0 billion). The estimated indirect economic losses reduced the gross domestic product of Thailand by 4.81% in 2011, without considering transboundary effects, and will cause more than 0.5% reduction in gross domestic product even in 2030, resulting in $55.3 billion of total losses from 2011 to 2030. Comprehensive estimation of direct and indirect economic losses facilitates understanding of various types of flood-related economic risks during and after a flood.
KW - Flood
KW - Thailand
KW - computable general equilibrium model
KW - direct/indirect economic losses
KW - global river and inundation model
UR - http://www.scopus.com/inward/record.url?scp=85085478564&partnerID=8YFLogxK
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U2 - 10.1029/2019WR026092
DO - 10.1029/2019WR026092
M3 - Article
AN - SCOPUS:85085478564
SN - 0043-1397
VL - 56
JO - Water Resources Research
JF - Water Resources Research
IS - 5
M1 - e2019WR026092
ER -