Assessing surface water flood risk and management strategies under future climate change: Insights from an Agent-Based Model
Authored by S Surminski, J Hall, F Crick
Date Published: 2017
DOI: 10.1016/j.scitotenv.2017.03.242
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Abstract
Climate change and increasing urbanization are projected to result in an
increase in surface water flooding and consequential damages in the
future. In this paper, we present insights from a novel Agent Based
Model (ABM), applied to a London case study of surface water flood risk,
designed to assess the interplay between different adaptation options;
how risk reduction could be achieved by homeowners and government; and
the role of flood insurance and the new flood insurance pool, Flood Re,
in the context of climate change. The analysis highlights that while
combined investment in property-level flood protection and sustainable
urban drainage systems reduce surface water flood risk, the benefits can
be outweighed by continued development in high risk areas and the
effects of climate change. In our simulations, Flood Re is beneficial in
its function to provide affordable insurance, even under climate change.
However, the scheme does face increasing financial pressure due to
rising surface water flood damages. If the intended transition to
risk-based pricing is to take place then a determined and coordinated
strategy will be needed to manage flood risk, which utilises insurance
incentives, limits new development, and supports resilience measures.
Our modelling approach and findings are highly relevant for the ongoing
regulatory and political approval process for Flood Re as well as for
wider discussions on the potential of insurance schemes to incentivise
flood risk management and climate adaptation in the UK and
internationally. (C) 2017 Elsevier B.V. All rights reserved.
Tags
Adaptation
Climate change
behavior
Impact assessment
Risk
Insurance
England
Wales
Surface water flooding