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Article

A GIS-Based Hydrological Modeling Approach for Rapid Urban Flood Hazard Assessment

1
School of Civil and Transportation Engineering, Guangdong University of Technology, Waihuan Xi Road, Guangzhou 510006, China
2
Guangdong Urban & Rural Planning and Design Institute, No.483 Nanzhou Road, Guangzhou 510290, China
3
Department of Environmental Engineering (DTU Environment), Technical University of Denmark, Miljøvej, Building 113, DK-2800 Lyngby, Denmark
4
China Water Resources Pearl River Planning Surveying & Designing Co., Ltd., No. 19 Zhanyizhi Street, Tianshou Road, Guangzhou 510610, China
*
Author to whom correspondence should be addressed.
Academic Editors: Christophe Viavattene, Damien Serre and Yves Tramblay
Water 2021, 13(11), 1483; https://doi.org/10.3390/w13111483
Received: 15 April 2021 / Revised: 19 May 2021 / Accepted: 20 May 2021 / Published: 25 May 2021
(This article belongs to the Special Issue GIS Application: Flood Risk Management)
Urban floods are detrimental to societies, and flood mapping techniques provide essential support for decision-making on the better management of flood risks. This study presents a GIS-based flood characterization methodology for the rapid and efficient identification of urban flood-prone areas, which is especially relevant for large-scale flood hazards and emergency assessments for data-scarce studies. The results suggested that optimal flood mapping was achieved by adopting the median values of the thresholds for local depression extraction, the topographic wetness index (TWI) and aggregation analyses. This study showed the constraints of the depression extraction and TWI methods and proposed a methodology to improve the performance. A new performance indicator was further introduced to improve the evaluation ability of hazard mapping. It was shown that the developed methodology has a much lower demand on the data and computation efforts in comparison to the traditional two-dimensional models and, meanwhile, provides relatively accurate and robust assessments of flood hazards. View Full-Text
Keywords: flood-prone; GIS hydrological analysis; performance indicator; threshold criterion; optimization flood-prone; GIS hydrological analysis; performance indicator; threshold criterion; optimization
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MDPI and ACS Style

Zhou, Q.; Su, J.; Arnbjerg-Nielsen, K.; Ren, Y.; Luo, J.; Ye, Z.; Feng, J. A GIS-Based Hydrological Modeling Approach for Rapid Urban Flood Hazard Assessment. Water 2021, 13, 1483. https://doi.org/10.3390/w13111483

AMA Style

Zhou Q, Su J, Arnbjerg-Nielsen K, Ren Y, Luo J, Ye Z, Feng J. A GIS-Based Hydrological Modeling Approach for Rapid Urban Flood Hazard Assessment. Water. 2021; 13(11):1483. https://doi.org/10.3390/w13111483

Chicago/Turabian Style

Zhou, Qianqian, Jiongheng Su, Karsten Arnbjerg-Nielsen, Yi Ren, Jinhua Luo, Zijian Ye, and Junman Feng. 2021. "A GIS-Based Hydrological Modeling Approach for Rapid Urban Flood Hazard Assessment" Water 13, no. 11: 1483. https://doi.org/10.3390/w13111483

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