Coastal and river flood risk analyses for guiding economically optimal flood adaptation policies: a country-scale study for Mexico

Author:

Haer Toon1ORCID,Botzen W. J. Wouter123,van Roomen Vincent1,Connor Harry1,Zavala-Hidalgo Jorge4,Eilander Dirk M.15,Ward Philip J.1

Affiliation:

1. Institute for Environmental Studies, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands

2. Utrecht University School of Economics, Utrecht University, 3508 TC Utrecht, The Netherlands

3. Risk Management and Decision Processes Center, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA

4. Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, 04510 Ciudad de México, CDMX, Mexico

5. Deltares, 2600 MH, Delft, The Netherlands

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’.

Funder

nited Nations Development Programme (México) and the National Institute of Ecology and Climate Change

Netherlands Organisation for Scientific Research

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Reference49 articles.

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