Cloud Modelling of Property-Level Flood Exposure in Megacities

Author:

Iliadis Christos1ORCID,Glenis Vassilis1ORCID,Kilsby Chris12ORCID

Affiliation:

1. School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

2. Willis Research Network, 51 Lime St., London EC3M 7DQ, UK

Abstract

Surface water flood risk is projected to increase worldwide due to the growth of cities as well as the frequency of extreme rainfall events. Flood risk modelling at high resolution in megacities is now feasible due to the advent of high spatial resolution terrain data, fast and accurate hydrodynamic models, and the power of cloud computing platforms. Analysing the flood exposure of urban features in these cities during multiple storm events is essential to understanding flood risk for insurance and planning and ultimately for designing resilient solutions. This study focuses on London, UK, a sprawling megacity that has experienced damaging floods in the last few years. The analysis highlights the key role of accurate digital terrain models (DTMs) in hydrodynamic models. Flood exposure at individual building level is evaluated using the outputs from the CityCAT model driven by a range of design storms of different magnitudes, including validation with observations of a real storm event that hit London on the 12 July 2021. Overall, a novel demonstration is presented of how cloud-based flood modelling can be used to inform exposure insurance and flood resilience in cities of any size worldwide, and a specification is presented of what datasets are needed to achieve this aim.

Funder

Engineering and Physical Science Research Council

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference72 articles.

1. Analysis of Catania flash flood case study by using combined microwave and infrared technique;Ricciardelli;J. Hydrometeorol.,2014

2. Structure and evolution of flash flood producing storms in a small urban watershed;Yang;J. Geophys. Res.,2016

3. Assessing trends in insured losses from floods in Spain 1971–2008;Barredo;Nat. Hazards Earth Syst. Sci.,2012

4. IPCC (2014). Synthesis Report Summary for Policymakers. An Assessment of the Intergovernmental Panel on Climate Change, Cambridge University Press.

5. Modelling and assessment of hydrological changes in a developing urban catchment;Guan;Hydrol. Process.,2015

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3