Urban and river flooding:Comparison of flood risk management approaches in the UK and China and an assessment of future knowledge needs

Abstract

Increased urbanisation, economic growth, and long-term climate variability have made both the UK and China more susceptible to urban and river flooding, putting people and property at increased risk. This paper presents a review of the current flooding challenges that are affecting the UK and China and the actions that each country is undertaking to tackle these problems. Particular emphases in this paper are laid on (1) learning from previous flooding events in the UK and China, and (2) which management methodologies are commonly used to reduce flood risk. The paper concludes with a strategic research plan suggested by the authors, together with proposed ways to overcome identified knowledge gaps in flood management. Recommendations briefly comprise the engagement of all stakeholders to ensure a proactive approach to land use planning, early warning systems, and water-sensitive urban design or redesign through more effective policy, multi-level flood models, and data driven models of water quantity and quality.

Publication DOI: https://doi.org/10.1016/j.wse.2019.12.004
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering
Additional Information: Copyright © 2019 Hohai University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Uncontrolled Keywords: SDG 13 - Climate Action,SDG 9 - Industry, Innovation, and Infrastructure,SDG 11 - Sustainable Cities and Communities
Publication ISSN: 1674-2370
Last Modified: 14 Nov 2024 08:17
Date Deposited: 16 Oct 2024 10:55
Full Text Link:
Related URLs: https://www.sci ... 1255?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2019-12
Published Online Date: 2019-12-14
Accepted Date: 2019-10-15
Authors: Rubinato, Matteo (ORCID Profile 0000-0002-8446-4448)
Nichols, Andrew
Peng, Yong
Zhang, Jian-min
Lashford, Craig
Cai, Yan-peng
Lin, Peng-zhi
Tait, Simon

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