The importance of gully flow modelling to urban flood simulation

Jang, Jiun Huei; Hsieh, Chi Tai; Chang, Tien Hao

doi:10.1080/1573062x.2019.1669198

Cited by 13 publications

(5 citation statements)

References 27 publications

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“…The CFS model has been validated in urban and coastal areas with an overall hit rate of 0.8, meaning that 80% of the observed food extents are correctly predicted. The details of the CFS model can be referred to Jang et al (2018); Jang et al (2019).…”

Section: Cfs Modelmentioning

confidence: 99%

“…Flash floods resulting from extremely heavy rainfall have been recognized as one of the most common and destructive threats in recent years (Panthou et al, 2014;Chan et al, 2016;Bao et al, 2017;Busuioc et al, 2017;Yang et al, 2017;Fu et al, 2019). In the last two decades, computational flood simulation (CFS) has been widely used to generate detailed flood scenarios in space and time by simulating water transportation on the surface and in sewer systems (Hunter et al, 2007;Kuiry et al, 2010;Seyoum et al, 2012;Jahanbazi and Egger, 2014;Chang et al, 2015;Jang et al, 2018;Jang et al, 2019). However, these CFS models require a detailed digital elevation model (DEM) and real-time flood records for model construction and validation, which are often inadequate in timeliness and accuracy for flash flood events occurring rapidly in localized areas (Suarez et al, 2005;Yin et al, 2016;Pregnolato et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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High-Resolution Flood Simulation in Urban Areas Through the Application of Remote Sensing and Crowdsourcing Technologies

Lin

Jang

et al. 2022

Front. Earth Sci.

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High-resolution flood simulation considering the influence of high buildings and fundamental facilities is important for flood risk assessment in urban areas. However, it is also a challenging task due to the difficulties in acquiring detailed topography and monitoring data for model construction and validation. In this study, a high-resolution flood simulation with a grid size of 0.5 m is realized through the use of detailed topography obtained by an unmanned aerial vehicle and real-time flood information acquired from social media. To discover the influence of terrain resolution on flood simulations, the high-resolution simulation results are compared with those with coarser grid resolutions (5, 10, and 20 m) for a flash flood event in Taiwan. In the case with higher grid resolution, the simulation results are in better agreement with the photos from social media in terms of flood extent, depth, and occurrence time. The flood simulation with coarse resolution (>5 m) tends to overestimate the flood duration on roads and provide bias information to decision-makers in the assessment of traffic impact and economic loss.

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Section: Cfs Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High-Resolution Flood Simulation in Urban Areas Through the Application of Remote Sensing and Crowdsourcing Technologies

Lin

Jang

et al. 2022

Front. Earth Sci.

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“…In addition, it is the most commonly used method for free flow analysis, as well as the most stable one (Fang et al, 2010;Gómez Valentin, 2007;Jang et al, 2019;Kleidorfer et al, 2018;Téllez Álvarez et al, 2003).…”

Section: Numerical Modelmentioning

confidence: 99%

“…The drainage network plays a fundamental role in protecting urban activities in cities (Cosco et al, 2020). The functionality of catchment structures, such as drains, can define the occurrence and extent of urban flooding due to rain (Jang et al, 2019;Leitão et al, 2017). These elements are often overlooked and may not be considered in drainage models (Kleidorfer et al, 2018); as such, they have become weaknesses in the design and management of infrastructure (Sedano-Cruz et al, 2013), even when the underlying system has sufficient capacity (Palla et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional Numerical Evaluation of Hydraulic Efficiency and Discharge Coefficient in Grate Inlets

Zambrano

González

Tequia

2022

EREM

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Floods are one of the causes of ground movement and displacement, and due to rapid urbanization and urban growth may occur more frequently than before. The characteristics of an urban drainage system can define the occurrence and extent of flooding, where catchment elements have a determining role. This document presents the numerical investigation of the hydraulic inlet efficiency and the discharge coefficient of seven types of grate inlets. The FLOW-3D® simulator is used to test the gratings at a full scale, under flow rates of Q = 24, 34.1, 44, 100, 200 and 300 L/s, preserving the configuration of the experimental prototype with longitudinal slopes of 1.0%, 1.5% and 2.0% and a fixed cross slope, for a total of 126 models. Based on the results, hydraulic inlet efficiency curves and discharge coefficients are constructed for each type and a longitudinal slope condition. The results are adjusted with empirical formulations proposed in other investigations, serving to verify the results of physical testing of prototypes.

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“…The model performs better when NSE approaches 1 and RMSE, PE, and TE approach 0. The flood extent indicators were calculated as follows (Jang et al, 2019):…”

Section: Performance Indicatorsmentioning

confidence: 99%

Improvement of Flood Risk Analysis Via Downscaling of Hazard and Vulnerability Maps

Jang

Vohnicky

Kuo

2021

Water Resour Manage

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Flood risk maps are important references for disaster prevention and emergency response. The accuracy of risk maps is greatly affected by the resolutions of hazard and vulnerability maps. To determine the impact of map resolutions on flood risk analysis, a total of 12 risk maps were generated for Shanhua District, Taiwan, via the integration of hazard and vulnerability maps under two resolutions and three return periods. The hazard, vulnerability, and risk maps were classified into five levels according to flood depth, socio-economic indicators, and their products, respectively. The results show that the downscaling of hazard maps greatly increases the hit rate by 28% and decreases the false alarm rate by 53% in the flood risk analyses of households. In contrast, the downscaling of vulnerability maps only slightly increases the hit rate without an obvious decrease in the false alarm rate. To improve flood risk analysis under time and budget limitations, numerical downscaling of hazard maps should be given higher priority because it reduces the structural errors in hydraulic simulations that cannot be compensated for by the statistical downscaling of vulnerability maps.

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The importance of gully flow modelling to urban flood simulation

Cited by 13 publications

References 27 publications

High-Resolution Flood Simulation in Urban Areas Through the Application of Remote Sensing and Crowdsourcing Technologies

High-Resolution Flood Simulation in Urban Areas Through the Application of Remote Sensing and Crowdsourcing Technologies

Three-dimensional Numerical Evaluation of Hydraulic Efficiency and Discharge Coefficient in Grate Inlets

Improvement of Flood Risk Analysis Via Downscaling of Hazard and Vulnerability Maps

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