Imperial College London
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DrAthanasiosPaschalis

Faculty of Engineering, Department of Civil and Environmental Engineering

Senior Lecturer in Hydrology
 
 
 
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Contact

 

+44 (0)20 7594 6004a.paschalis

 
 
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Location

 

407Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Peleg:2022:10.1016/j.advwatres.2022.104258,
author = {Peleg, N and Ban, N and Gibson, MJ and Chen, AS and Paschalis, A and Burlando, P and Leitão, JP},
doi = {10.1016/j.advwatres.2022.104258},
journal = {Advances in Water Resources},
pages = {104258--104258},
title = {Mapping storm spatial profiles for flood impact assessments},
url = {http://dx.doi.org/10.1016/j.advwatres.2022.104258},
volume = {166},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Synthetic design storms are often used to plan new drainage systems or assess flood impacts on infrastructure.To simulate extreme rainfall events under climate change, design storms can be modified to match a differentreturn frequency of extreme rainfall events as well as a modified temporal distribution of rainfall intensities.However, the same magnitude of change to the rainfall intensities is often applied in space. Several hydrologicalapplications are limited by this. Climate change impacts on urban pluvial floods, for example, require the useof 2D design storms (rainfall fields) at sub-kilometer and sub-hourly scales. Recent kilometer scale climatemodels, also known as convection-permitting climate models (CPM), provide rainfall outputs at a high spatialresolution, although rainfall simulations are still restricted to a limited number of climate scenarios and timeperiods. We nevertheless explored the potential use of rainfall data obtained from these models for hydrologicalflood impact studies by introducing a method of spatial quantile mapping (SQM). To demonstrate the newmethodology, we extracted high-resolution rainfall simulations from a CPM for four domains representingdifferent urban areas in Switzerland. Extreme storms that are plausible under the present climate conditionswere simulated with a 2D stochastic rainfall model. Based on the CPM-informed stochastically generatedrainfall fields, we modified the design storms to fit the future climate scenario using three different methods:the SQM, a uniform quantile mapping, and a uniform adjustment based on a rainfall–temperature relationship.Throughout all storms, the temporal distribution of rainfall was the same. Using a flood model, we assessedthe impact of different rainfall adjustment methods on urban flooding. Significant differences were found inthe flood water depths and areas between the three methods. In general, the SQM method results in a higherflood impact than the storms that were modifie
AU  - Peleg,N
AU  - Ban,N
AU  - Gibson,MJ
AU  - Chen,AS
AU  - Paschalis,A
AU  - Burlando,P
AU  - Leitão,JP
DO  - 10.1016/j.advwatres.2022.104258
EP  - 104258
PY  - 2022///
SN  - 0309-1708
SP  - 104258
TI  - Mapping storm spatial profiles for flood impact assessments
T2  - Advances in Water Resources
UR  - http://dx.doi.org/10.1016/j.advwatres.2022.104258
UR  - https://www.sciencedirect.com/science/article/pii/S0309170822001282?via%3Dihub
UR  - http://hdl.handle.net/10044/1/98096
VL  - 166
ER  -
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