Imperial College London
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DrPabloSalinas

Faculty of Engineering, Department of Earth Science & Engineering

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Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hu:2019:10.1016/j.advwatres.2018.11.011,
author = {Hu, R and Fang, F and Salinas, P and Pain, C and StoDomingo, ND and Mark, O},
doi = {10.1016/j.advwatres.2018.11.011},
journal = {Advances in Water Resources},
pages = {173--188},
title = {Numerical simulation of floods from multiple sources using an adaptive anisotropic unstructured mesh method},
url = {http://dx.doi.org/10.1016/j.advwatres.2018.11.011},
volume = {123},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The coincidence of two or more extreme events (precipitation and storm surge, for example) may lead to severe floods in coastal cities. It is important to develop powerful numerical tools for improved flooding predictions (especially over a wide range of spatial scales - metres to many kilometres) and assessment of joint influence of extreme events. Various numerical models have been developed to perform high-resolution flood simulations in urban areas. However, the use of high-resolution meshes across the whole computational domain may lead to a high computational burden. More recently, an adaptive isotropic unstructured mesh technique has been first introduced to urban flooding simulations and applied to a simple flooding event observed as a result of flow exceeding the capacity of the culvert during the period of prolonged or heavy rainfall. Over existing adaptive mesh refinement methods (AMR, locally nested static mesh methods), this adaptive unstructured mesh technique can dynamically modify (both, coarsening and refining the mesh) and adapt the mesh to achieve a desired precision, thus better capturing transient and complex flow dynamics as the flow evolves.In this work, the above adaptive mesh flooding model based on 2D shallow water equations (named as Floodity) has been further developed by introducing (1) an anisotropic dynamic mesh optimization technique (anisotropic-DMO); (2) multiple flooding sources (extreme rainfall and sea-level events); and (3) a unique combination of anisotropic-DMO and high-resolution Digital Terrain Model (DTM) data. It has been applied to a densely urbanized area within Greve, Denmark. Results from MIKE 21 FM are utilized to validate our model. To assess uncertainties in model predictions, sensitivity of flooding results to extreme sea levels, rainfall and mesh resolution has been undertaken. The use of anisotropic-DMO enables us to capture high resolution topographic features (buildings, rivers and streets) only where and when
AU  - Hu,R
AU  - Fang,F
AU  - Salinas,P
AU  - Pain,C
AU  - StoDomingo,ND
AU  - Mark,O
DO  - 10.1016/j.advwatres.2018.11.011
EP  - 188
PY  - 2019///
SN  - 0309-1708
SP  - 173
TI  - Numerical simulation of floods from multiple sources using an adaptive anisotropic unstructured mesh method
T2  - Advances in Water Resources
UR  - http://dx.doi.org/10.1016/j.advwatres.2018.11.011
UR  - http://hdl.handle.net/10044/1/66507
VL  - 123
ER  -
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