An efficient modelling approach for probabilistic assessments of present-day and future fluvial flooding
- 1Department of Coastal and Urban Risk and Risk Resilience, IHE Delft Institute for Water Education, Delft, 2601 DA, The Netherlands
- 2Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, 2628 CN, The Netherlands
- 3Department of Water Engineering and Management, University of Twente, Enschede, 7500 AE, The Netherlands
- 4Harbour, Coastal and Offshore engineering, Deltares, Delft, 2600 MH, The Netherlands
- 5Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia
- 6Department of Environmental Engineering, Universitas Muhammadiyah Kendari, Jl. Ahmad Dahlan 10, 93117, Kendari, Indonesia
- 7Agile Lotus Advisory, 104 Singel, 3112GS, Schiedam, The Netherlands
- 8United Nations Development Programme, 4th Floor, H. Aaage (Bank of Ceylon Building), Boduthakurufaanu Magu, Malé, The Maldives
- 9Ministry of environment, the government of the Maldives, Green Building, Malé, The Maldives
Abstract. Flood risk management and planning decisions in many parts of the world have historically utilised flood hazard or risk maps for a very limited number of hazard scenarios (e.g. river water levels), mainly due to computational challenges. With the potentially massive increase in flood risk in future due to the combination of climate change effects (increasing the hazard) and increasing population and developments in floodplains (increasing the consequence), risk-informed flood risk management, which enables balancing the risk with the reward, is now becoming more and more sought after. This requires a comprehensive and quantitative risk assessment, which in turn demands multiple (thousands of) river and flood model simulations. Performing such a large number of model simulations is a challenge, especially for large, complex river systems (e.g. Mekong) due to the associated computational and resource demands. This article presents an efficient modelling approach that combines a simplified 1D hydrodynamic model for the entire Mekong Delta with a detailed 1D/2D coupled model and demonstrates its application at Can Tho city in the Mekong Delta. Probabilistic flood hazard maps, ranging from 0.5 yr to 100 yr return period events, are obtained for the urban centre of Can Tho city under different future scenarios taking into account the impact of climate change forcing (river flow, sea-level rise, storm surge) and land subsidence.
Results obtained under present conditions show that more than 12 % of the study area is inundated by the present-day 100 yr return period water level. Future projections show that, if the present rate of land subsistence continues, by 2050 (under both RCP4.5 and RCP8.5 climate scenarios), the 0.5 yr and 100 yr return period flood extents will increase by around 15-fold and 8-fold, respectively, relative to the present-day flood extent. However, without land subsidence, the projected increases in the 0.5 yr and 100 yr return period flood extents by 2050 (under RCP4.5 and RCP8.5) are limited to between a doubling to tripling of the present-day flood extent. Therefore, adaptation measures that can reduce the rate of land subsidence (e.g. limiting groundwater extraction), would substantially mitigate future flood hazards in the study area. A combination of restricted groundwater extraction and the construction of a new and more efficient urban drainage network would facilitate even further reductions in the flood hazard. The projected 15-fold increase in flood extent projected by 2050 for the twice per year (0.5 yr return period) flood event implies that the
do nothing management approach is not a feasible option for Can Tho.
Hieu Ngo et al.
Hieu Ngo et al.
Hieu Ngo et al.
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