Development of a Method for Assessing Country-Based Flood Risk at the Global Scale

Yoshiyuki Imamura

International Journal of Disaster Risk Science ›› 2022, Vol. 13 ›› Issue (1) : 87 -99.

PDF
International Journal of Disaster Risk Science ›› 2022, Vol. 13 ›› Issue (1) : 87 -99. DOI: 10.1007/s13753-021-00388-w
Article

Development of a Method for Assessing Country-Based Flood Risk at the Global Scale

Author information +
History +
PDF

Abstract

International frameworks such as the Sustainable Development Goals and the Sendai Framework for Disaster Risk Reduction 2015−2030 require the quantification of country-based flood risk. However, few approaches at the global scale include the three necessary components (hazard, exposure, and vulnerability) for determining disaster risk and are country-based assessments, owing to major challenges such as limited data availability and vulnerability proxy selection. Therefore, in this study, a method was developed with the following features: Incorporating the hazard, exposure, and vulnerability components; Applicable to the vast majority of countries in the world; Visualizing priority countries and illustrating effective measures and strategies; Clear and easy to understand by leaders and decision makers of international organizations, governments, and other stakeholders; Identifying each country’s challenges and providing guidance on specific issues for more detailed investigation and policy creation; Including more extensive factors compared with past studies. In Asia and the Pacific, the Flood Risk Index computed by the developed method is compared with the fatality ratio, and the results show that improving flood resilience secures people and society regardless of the magnitude and frequency of floods. Analysis at the global scale visualizes regional tendencies and indicates that countries closer to the equator have higher flood risk. Analysis of country-based flood risk based on five indicators demonstrates that the developed method can assist international organizations, governments, and other stakeholders to further examine country-specific conditions and establish and implement policies and strategies toward building a resilient society and achieving international targets.

Keywords

Asia and the Pacific / Country-based analysis / Flood risk index / Global scale / Vulnerability proxy

Cite this article

Download citation ▾
Yoshiyuki Imamura. Development of a Method for Assessing Country-Based Flood Risk at the Global Scale. International Journal of Disaster Risk Science, 2022, 13(1): 87-99 DOI:10.1007/s13753-021-00388-w

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

ADB (Asia Development Bank), and APWF (Asia-Pacific Water Forum) Asian water development outlook 2013, 2013, Metro Manila: ADB

[2]

Arnell NW, Gosling SN. The impacts of climate change on river flood risk at the global scale. Climate Change, 2016, 134: 387-401

[3]

Arnell NW, Lloyd-Hughes B. The global-scale impacts of climate change on water resources and flooding under new climate and socio-economic scenarios. Climate Change, 2014, 122: 127-140

[4]

Connor RF, Hiroki K. Development of a method for assessing flood vulnerability. Water Science & Technology, 2005, 51(5): 61-67

[5]

CRED (Centre for Research on the Epidemiology of Disasters). n.d. Emergency Events Database (EM-DAT). https://www.emdat.be/. Accessed 2 May 2018.

[6]

CRED (Centre for Research on the Epidemiology of Disasters), and UNISDR (United Nations International Strategy for Disaster Reduction). 2015. Weather related disasters 1995–2015. In The human cost of weather related disasters 1995–2015, 7–11. Brussels and Geneva: CRED and UNISDR.

[7]

de Moel H, Jongman B, Kreibich H, Penning-Rowsell EC. Flood risk assessment at different spatial scales. Mitigation and Adaptation Strategies for Global Change, 2015, 20: 865-890

[8]

Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, et al. 2005. Natural disaster hotspots. The World Bank Disaster Risk Management Series. Washington, DC: World Bank.

[9]

Elhakeem, M. 2017. Flood prediction at the northern region of UAE. MATEC Web of Conferences 103: Article 04004.

[10]

Government of Japan, GFDRR (Global Facility for Disaster Reduction and Recovery), and the World Bank The Sendai report: Managing disaster risks for a resilient future, 2012, Washington, DC: World Bank

[11]

Hara Y, Umemura K, Kato K, Connor RF, Sato Y. The development of flood vulnerability index applied to 114 major river basins around the world. Journal of Japan Society of Hydrology and Water Resources, 2009, 22(1): 10-23

[12]

Hirabayashi Y, Mahendran R, Koirala S, Konoshima L, Yamazaki D, Watanabe S, Kim H, Kanae S. Global flood risk under climate change. Nature Climate Change, 2013, 3: 816-821

[13]

Hirano J, Magome J, Ishidaira H, Takeuchi K. Global dam reservoir database for large scale hydrological analysis. Annual Journal of Hydraulic Engineering, 2005, 49: 385-390

[14]

JICA (Japan International Cooperation Agency). 2016. Detailed planning study report: The Project for Research on Disaster Prevention/Mitigation Measures against Floods and Storm Surges in Bangladesh. Tokyo: JICA.

[15]

Kannami, Y. 2008. Establishment of country-based flood risk index. Tokyo and Ibaraki-ken, Japan: National Graduate Institute for Policy Studies (GRIPS) and International Centre for Water Hazard and Risk Management (ICAHRM).

[16]

Kron W. Flood risk = hazard exposure vulnerability. Water International, 2005, 30(1): 58-68

[17]

Lee S, Okazumi T, Kwak Y, Takeuchi K. Vulnerability proxy selection and risk calculation formula for global flood risk assessment: A preliminary study. Water Policy, 2015, 17: 8-25

[18]

Shi P, Yang X, Xu W, Wang J. Mapping global mortality and affected population risks for multiple natural hazards. International Journal of Disaster Risk Science, 2016, 7(1): 54-62

[19]

Sullivan CA, Meigh JR, Giacomello AM, Fediw T, Lawrence P, Samad M, Mlote S, Hutton C The water poverty index: Development and application on the community scale. Natural Resource Forum, 2003, 27: 189-199

[20]

Umemura, K., K. Hiroki, K. Kato, K. Hashimoto, Y. Hara, and T. Ishio. 2004. Formation of Flood Vulnerability Index (FVI): Preliminary computation of FVI. In Proceedings of the Annual Conference of Japan Society of Civil Engineers 2(057): 113–114.

[21]

UNDP (United Nations Development Programme) Human development report 2014, 2014, New York: UNDP

[22]

UNISDR (United Nations International Strategy for Disaster Reduction) Hyogo framework for action 2005–2015, 2007, Geneva: UNISDR

[23]

UNISDR (United Nations International Strategy for Disaster Reduction) Sendai framework for disaster risk reduction 2015–2030, 2015, Geneva: UNISDR

[24]

United Nations Transforming our world: The 2030 agenda for sustainable development, 2015, New York: United Nations

[25]

UNU-EHS (United Nations University-Institute for Environment and Human Security), and Alliance Development Works. 2014. World risk report 2014. Bonn and Berlin: UNU-EHS and Alliance Development Works.

[26]

Ward PJ, Jongman B, Weiland FS, Bouwman A, Beek R, Bierkens M, Ligtvoet W, Winsemius H. Assessing flood risk at the global scale: Model setup, results, and sensitivity. Environmental Research Letters, 2013, 8: 1-10

AI Summary AI Mindmap
PDF

127

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/