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An enhanced inundation method for urban flood hazard mapping at the large catchment scale

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An enhanced inundation method for urban flood hazard mapping at the large catchment scale. / Zhao, Gang; Xu, Zongxue; Pang, Bo; Tu, Tongbi; Xu, Liyang; Du, Longgang.

In: Journal of Hydrology, Vol. 571, 01.04.2019, p. 873-882.

Research output: Contribution to journalArticle

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Zhao, G, Xu, Z, Pang, B, Tu, T, Xu, L & Du, L 2019, 'An enhanced inundation method for urban flood hazard mapping at the large catchment scale', Journal of Hydrology, vol. 571, pp. 873-882. https://doi.org/10.1016/j.jhydrol.2019.02.008

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Zhao, Gang ; Xu, Zongxue ; Pang, Bo ; Tu, Tongbi ; Xu, Liyang ; Du, Longgang. / An enhanced inundation method for urban flood hazard mapping at the large catchment scale. In: Journal of Hydrology. 2019 ; Vol. 571. pp. 873-882.

Bibtex

@article{e2804ca40dea4ea2ac5be1042501b1a4,
title = "An enhanced inundation method for urban flood hazard mapping at the large catchment scale",
abstract = "Urban flooding occurs frequently in the world and urban hydrological models are widely applied in urban flood management and disaster mitigation. In this study, an enhanced inundation method (EIM) for urban flood hazard mapping at the large catchment scale is proposed. EIM can be easily coupled with urban hydrological models and the coupled framework can consider both source flooding and non-source flooding in floodwater generation. In EIM, the floodwater spreading order in the positive process is based on the topological relationship between depression outlets; the floodwater from lower depression elements is considered as a feedback process. These improvements make this proposed method suitable for inundation estimation in large urban catchments. Dahongmen (DHM) catchment in Beijing, China was selected as the case study area to illustrate the applicability of the proposed method. Historical inundation records during one heavy storm were applied to test the performance of the method. EIM is compared with USISM (urban storm-inundation simulation method) on the flood hazard map in the DHM catchment, which reveals the effectiveness of the improvements. The results show that all inundation locations are successfully identified by EIM and are distributed in flooding areas (water depth greater than 0.15 m) in the catchment. The average relative error of simulated inundation depths is 15{\%}, which indicates that EIM can successfully simulate flooding scopes and depths in the study area. The results revealed that EIM can be a valuable tool for mapping urban flood hazards at the large catchment scale based on GIS techniques.",
keywords = "Enhanced inundation method, Flood hazard map, Large urban catchment, GIS, SWMM",
author = "Gang Zhao and Zongxue Xu and Bo Pang and Tongbi Tu and Liyang Xu and Longgang Du",
year = "2019",
month = "4",
day = "1",
doi = "10.1016/j.jhydrol.2019.02.008",
language = "English",
volume = "571",
pages = "873--882",
journal = "Journal of Hydrology",
issn = "0022-1694",
publisher = "Elsevier",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - An enhanced inundation method for urban flood hazard mapping at the large catchment scale

AU - Zhao, Gang

AU - Xu, Zongxue

AU - Pang, Bo

AU - Tu, Tongbi

AU - Xu, Liyang

AU - Du, Longgang

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Urban flooding occurs frequently in the world and urban hydrological models are widely applied in urban flood management and disaster mitigation. In this study, an enhanced inundation method (EIM) for urban flood hazard mapping at the large catchment scale is proposed. EIM can be easily coupled with urban hydrological models and the coupled framework can consider both source flooding and non-source flooding in floodwater generation. In EIM, the floodwater spreading order in the positive process is based on the topological relationship between depression outlets; the floodwater from lower depression elements is considered as a feedback process. These improvements make this proposed method suitable for inundation estimation in large urban catchments. Dahongmen (DHM) catchment in Beijing, China was selected as the case study area to illustrate the applicability of the proposed method. Historical inundation records during one heavy storm were applied to test the performance of the method. EIM is compared with USISM (urban storm-inundation simulation method) on the flood hazard map in the DHM catchment, which reveals the effectiveness of the improvements. The results show that all inundation locations are successfully identified by EIM and are distributed in flooding areas (water depth greater than 0.15 m) in the catchment. The average relative error of simulated inundation depths is 15%, which indicates that EIM can successfully simulate flooding scopes and depths in the study area. The results revealed that EIM can be a valuable tool for mapping urban flood hazards at the large catchment scale based on GIS techniques.

AB - Urban flooding occurs frequently in the world and urban hydrological models are widely applied in urban flood management and disaster mitigation. In this study, an enhanced inundation method (EIM) for urban flood hazard mapping at the large catchment scale is proposed. EIM can be easily coupled with urban hydrological models and the coupled framework can consider both source flooding and non-source flooding in floodwater generation. In EIM, the floodwater spreading order in the positive process is based on the topological relationship between depression outlets; the floodwater from lower depression elements is considered as a feedback process. These improvements make this proposed method suitable for inundation estimation in large urban catchments. Dahongmen (DHM) catchment in Beijing, China was selected as the case study area to illustrate the applicability of the proposed method. Historical inundation records during one heavy storm were applied to test the performance of the method. EIM is compared with USISM (urban storm-inundation simulation method) on the flood hazard map in the DHM catchment, which reveals the effectiveness of the improvements. The results show that all inundation locations are successfully identified by EIM and are distributed in flooding areas (water depth greater than 0.15 m) in the catchment. The average relative error of simulated inundation depths is 15%, which indicates that EIM can successfully simulate flooding scopes and depths in the study area. The results revealed that EIM can be a valuable tool for mapping urban flood hazards at the large catchment scale based on GIS techniques.

KW - Enhanced inundation method, Flood hazard map, Large urban catchment, GIS, SWMM

UR - http://www.scopus.com/inward/record.url?scp=85062270808&partnerID=8YFLogxK

U2 - 10.1016/j.jhydrol.2019.02.008

DO - 10.1016/j.jhydrol.2019.02.008

M3 - Article

VL - 571

SP - 873

EP - 882

JO - Journal of Hydrology

JF - Journal of Hydrology

SN - 0022-1694

ER -