Abstract
Many countries around the world face increasing impacts from flooding due to socio-economic development in flood-prone areas, which may be enhanced in intensity and frequency as a result of climate change. With increasing flood risk, it is becoming more important to be able to assess the costs and benefits of adaptation strategies. To guide the design of such strategies, policy makers need tools to prioritize where adaptation is needed and how much adaptation funds are required. In this country-scale study, we show how flood risk analyses can be used in cost–benefit analyses to prioritize investments in flood adaptation strategies in Mexico under future climate scenarios. Moreover, given the often limited availability of detailed local data for such analyses, we show how state-of-the-art global data and flood risk assessment models can be applied for a detailed assessment of optimal flood-protection strategies. Our results show that especially states along the Gulf of Mexico have considerable economic benefits from investments in adaptation that limit risks from both river and coastal floods, and that increased flood-protection standards are economically beneficial for many Mexican states. We discuss the sensitivity of our results to modelling uncertainties, the transferability of our modelling approach and policy implications. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’.
| Original language | English |
|---|---|
| Article number | 20170329 |
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | Philosophical Transactions of the Royal Society. Series A, Mathematical, Physical and Engineering Sciences |
| Volume | 376 |
| Issue number | 2121 |
| Early online date | 30 Apr 2018 |
| DOIs | |
| Publication status | Published - 13 Jun 2018 |
Funding
Authors’ contributions. T.H. and W.J.W.B. conceived and coordinated the study. T.H., W.J.W.B., V.R. and H.C. designed the methodological framework. T.H., V.R., H.C. and P.J.W. carried out the modelling. D.M.E. designed the coastal inundation model and produced the coastal hazard maps. J.Z.H. contributed with local expert knowledge. All authors were involved in drafting the manuscript. All authors gave their final approval for publication. Competing interests. We have no competing interests. Funding. The authors acknowledge the financial support from the United Nations Development Programme (México) and the National Institute of Ecology and Climate Change (grant IC-2017-068), as part of Mexico’s Sixth National Communication to the United Nations Framework Convention on Climate Change. P.J.W. received funding from the Netherlands Organisation for Scientific Research (NWO) in the form of a VIDI grant (grant no. 016.161.324). T.H. received funding from the Netherlands Organisation for Scientific Research (NWO) in the form of a VICI grant (016140067). This research was partly funded by the Zurich Flood Resilience Program. Acknowledgements. The authors thank Francisco Estrada for providing input for the analysis, Hans de Moel for assisting with the exposure estimates, and Paul Bates and one anonymous reviewer for useful comments that helped improve this manuscript.
| Funders | Funder number |
|---|---|
| Mexico’s Sixth National Communication to the United Nations Framework Convention on Climate Change | |
| National Institute of Ecology and Climate Change | IC-2017-068 |
| Human Frontier Science Program | |
| United Nations | |
| Vanderbilt-Ingram Cancer Center | |
| Department of Energy and Climate Change | |
| United Nations Development Programme | |
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek | 016140067, 016.161.324 |
| Korea Health Industry Development Institute |
Keywords
- Adaptation
- Climate change
- Cost–benefit analysis
- Flood risk
- Policy decisions