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Ensuring robust flood risk management in Ho Chi Minh city

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  • Cira,Dean A.
  • Kalra,Nidhi Rajiv
  • Lempert,Robert J.
  • Lotsch,Alexander
  • Mao, Zhimin
  • Peyraud, Suzanne
  • Bach,Sinh Tan

Abstract

Ho Chi Minh City faces significant and growing flood risk. Recent risk reduction efforts may be insufficient as climate and socio-economic conditions diverge from projections made when those efforts were initially planned. This study demonstrates how robust decision making can help Ho Chi Minh City develop integrated flood risk management strategies in the face of such deep uncertainty. Robust decision making is an iterative, quantitative, decision support methodology designed to help policy makers identify strategies that are robust, that is, satisfying decision makers'objectives in many plausible futures, rather than being optimal in any single estimate of the future. This project used robust decision making to analyze flood risk management in Ho Chi Minh City's Nhieu Loc-Thi Nghe canal catchment area. It found that the soon-to-be-completed infrastructure may reduce risk in best estimates of future conditions, but it may not keep risk low in many other plausible futures. Thus, the infrastructure may not be sufficiently robust. The analysis further suggests that adaptation and retreat measures, particularly when used adaptively, can play an important role in reducing this risk. The study examines the conditions under which robust decision making concepts and full robust decision making analyses may prove useful in developing countries. It finds that planning efforts in developing countries should at minimum use models and data to evaluate their decisions under a wide range of conditions. Full robust decision making analyses can also augment existing planning efforts in numerous ways.

Suggested Citation

  • Cira,Dean A. & Kalra,Nidhi Rajiv & Lempert,Robert J. & Lotsch,Alexander & Mao, Zhimin & Peyraud, Suzanne & Bach,Sinh Tan, 2013. "Ensuring robust flood risk management in Ho Chi Minh city," Policy Research Working Paper Series 6465, The World Bank.
  • Handle: RePEc:wbk:wbrwps:6465
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    Citations

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    Cited by:

    1. J. Jäger & M. Rounsevell & P. Harrison & I. Omann & R. Dunford & M. Kammerlander & G. Pataki, 2015. "Assessing policy robustness of climate change adaptation measures across sectors and scenarios," Climatic Change, Springer, vol. 128(3), pages 395-407, February.
    2. Parker, Andrew M. & Srinivasan, Sinduja V. & Lempert, Robert J. & Berry, Sandra H., 2015. "Evaluating simulation-derived scenarios for effective decision support," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 64-77.
    3. Moallemi, Enayat A. & Elsawah, Sondoss & Ryan, Michael J., 2020. "Strengthening ‘good’ modelling practices in robust decision support: A reporting guideline for combining multiple model-based methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 175(C), pages 3-24.
    4. Moallemi, Enayat A. & Elsawah, Sondoss & Ryan, Michael J., 2020. "Robust decision making and Epoch–Era analysis: A comparison of two robustness frameworks for decision-making under uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Julie E. Shortridge & Seth D. Guikema, 2016. "Scenario Discovery with Multiple Criteria: An Evaluation of the Robust Decision‐Making Framework for Climate Change Adaptation," Risk Analysis, John Wiley & Sons, vol. 36(12), pages 2298-2312, December.
    6. Stéphane Hallegatte & Jun Rentschler, 2015. "Risk Management for Development—Assessing Obstacles and Prioritizing Action," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 193-210, February.
    7. Dittrich, Ruth & Wreford, Anita & Moran, Dominic, 2016. "A survey of decision-making approaches for climate change adaptation: Are robust methods the way forward?," Ecological Economics, Elsevier, vol. 122(C), pages 79-89.
    8. McDermott, T.K.J. & Surminski, S., 2018. "Normative interpretations of climate risk assessment and how it affects local decision making – a study at the city scale in Cork, Ireland," Working Papers 309607, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    9. Väinö Nurmi & Karoliina Pilli-Sihvola & Hilppa Gregow & Adriaan Perrels, 2019. "Overadaptation to Climate Change? The Case of the 2013 Finnish Electricity Market Act," Economics of Disasters and Climate Change, Springer, vol. 3(2), pages 161-190, July.
    10. Paul Watkiss, 2015. "A review of the economics of adaptation and climate-resilient development," GRI Working Papers 205, Grantham Research Institute on Climate Change and the Environment.
    11. Sam Fankhauser, 2017. "Adaptation to Climate Change," Annual Review of Resource Economics, Annual Reviews, vol. 9(1), pages 209-230, October.
    12. Paul Watkiss & Alistair Hunt & William Blyth & Jillian Dyszynski, 2015. "The use of new economic decision support tools for adaptation assessment: A review of methods and applications, towards guidance on applicability," Climatic Change, Springer, vol. 132(3), pages 401-416, October.
    13. Julie E. Shortridge & Benjamin F. Zaitchik, 2018. "Characterizing climate change risks by linking robust decision frameworks and uncertain probabilistic projections," Climatic Change, Springer, vol. 151(3), pages 525-539, December.
    14. Kalra, Nidhi & Hallegatte, Stephane & Lempert, Robert & Brown, Casey & Fozzard, Adrian & Gill, Stuart & Shah, Ankur, 2014. "Agreeing on robust decisions : new processes for decision making under deep uncertainty," Policy Research Working Paper Series 6906, The World Bank.
    15. Bonzanigo, Laura & Kalra, Nidhi, 2014. "Making informed investment decisions in an uncertain world : a short demonstration," Policy Research Working Paper Series 6765, The World Bank.

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    Keywords

    Labor Policies; Non Bank Financial Institutions; Debt Markets; Water Supply and Sanitation Governance and Institutions; Hazard Risk Management;
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