Click here for search results
Ensuring robust flood risk management in Ho Chi Minh city, Volume 1
 
Author:Lempert, Robert; Kalra, Nidhi; Peyraud, Suzanne; Mao, Zhimin; Tan, Sinh Bach; Cira, Dean; Lotsch, Alexander; Country:Vietnam;
Date Stored:2013/05/31Document Date:2013/05/01
Document Type:Policy Research Working PaperSubTopics:Non Bank Financial Institutions; Water Supply and Sanitation Governance and Institutions; Debt Markets; Hazard Risk Management; Labor Policies
Language:EnglishRegion:East Asia and Pacific
Report Number:WPS6465Collection Title:Policy Research working paper ; no. WPS 6456
Volume No:1  

Summary: 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.

Official Documents
Official, scanned versions of documents (may include signatures, etc.)
File TypeDescriptionFile Size (mb)
PDF 65 pagesOfficial version*4.55 (approx.)
TextText version**
How To Order

* The official version is derived from scanning the final, paper copy of the document and is the official,
archived version including all signatures, charts, etc.
** The text version is the OCR text of the final scanned version and is not an accurate representation of the final text.
It is provided solely to benefit users with slow connectivity.



Permanent URL for this page: http://go.worldbank.org/UH52AD3ZE0