Flooding is the most frequent and damaging natural hazard globally. While nature-based solutions can reduce flood risk, they are not part of mainstream risk management. We develop a probabilistic risk analysis framework to quantify these benefits that i) accounts for frequent small events and rarer large events, ii) can be applied to large basins and limited data contexts, and iii) quantifies economic benefits and reduction in people affected.
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Related data for: Nature-based solutions for flood risk reduction: A probabilistic modeling framework
Aug 4, 2021
Lallemant, David; Hamel, Perrine; Balbi, Mariano; Lim, Tian Ning; Schmitt, Rafael; Win, Shelly, 2021, "Related data for: Nature-based solutions for flood risk reduction: A probabilistic modeling framework", https://doi.org/10.21979/N9/BNHSTP, DR-NTU (Data), V1
Related data for publication: Nature-Based Solutions for Flood Risk Reduction: A Probabilistic Modeling Framework Model input data includes: Satellite-based flood extent maps for Monywa, Myanmar for flood events in 2002, 2003, 2007. Maps produced by Cloud2Street using MODIS satel...
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