Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory

Tian, Z. and Ramsbottom, D. and Sun, L. and Huang, Y. and Zou, H. and Liu, J. (2023) Dynamic adaptive engineering pathways for mitigating flood risks in Shanghai with regret theory. Nature Water.

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Official URL: https://doi.org/10.1038/s44221-022-00017-w


Uncertainty in sea level rise and future extreme climate events presents a great planning challenge for flood defence in coastal mega cities like Shanghai. While academic literature has largely focused on uncertainty analysis, engineering solution design requires effective uncertainty management. Here we incorporate the regret theory of economics and decision science into the dynamic-adaptation-pathways framework and assess the impacts of high rates of changes on the flood defence systems in Shanghai. Specific options are developed to manage flooding on the Huangpu River from tidal water levels, river flows, rainfall, drainage inflows and combinations of these flood sources including sea level rises of up to 3 m. Dynamic adaptation pathways are developed where the timing of tipping points from one intervention to the next depends on the actual changes in sea level, rainfall and other variables that affect the future design. This framework is potentially applicable for planning ‘no regrets’ flood-defence systems in other low-lying coastal cities.

Item Type: Article
Additional Information: Open Access
Subjects: Floods > Flood risk assessment and mapping
Divisions: Floods
Depositing User: Helen Stevenson
Date Deposited: 14 Feb 2023 10:03
Last Modified: 14 Feb 2023 10:03
URI: http://eprints.hrwallingford.com/id/eprint/1534

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