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Books > Earth & environment > Earth sciences > The hydrosphere
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Development of an Efficient Modelling Approach to Support Economically and Socially Acceptable Flood Risk Reduction in Coastal Cities: Can Tho City, Mekong Delta, Vietnam (Paperback)
Loot Price: R2,298
Discovery Miles 22 980
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Development of an Efficient Modelling Approach to Support Economically and Socially Acceptable Flood Risk Reduction in Coastal Cities: Can Tho City, Mekong Delta, Vietnam (Paperback)
Series: IHE Delft PhD Thesis Series
Expected to ship within 12 - 19 working days
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Flooding is one of the most frequently occurring and damaging
natural disasters worldwide. Quantitative flood risk management
(FRM) in the modern context demands statistically robust approaches
(e.g. probabilistic) due to the need to deal with complex
uncertainties. However, probabilistic estimates often involve
ensemble 2D model runs resulting in large computational
costs.Additionally, modern FRM necessitates the involvement of a
broad range of stakeholders via co-design sessions. This makes it
necessary for the flood models, at least at a simplified level, to
be understood by and accessible to non-specialists. This study was
undertaken to develop a flood modelling system that can provide
rapid and sufficiently accurate estimates of flood risk within a
methodology that is accessible to a wider range of stakeholders for
a coastal city - Can Tho city, Mekong Delta, Vietnam. A web-based
hydraulic tool, Inform, was developed based on a simplified 1D
model for the entire Mekong Delta, flood hazard and damage maps,
and estimated flood damages for the urban centre of Can Tho city
(Ninh Kieu district), containing the must-have features of a
co-design tool (e.g. inbuilt input library, flexible options, easy
to use, quick results, user-friendly interface). Inform provides
rapid flood risk assessments with quantitative information (e.g.
flood levels, flood hazard and damage maps, estimated damages)
required for co-designing efforts aimed at flood risk reduction for
Ninh Kieu district in the future.
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