Three-dimensional urban flood inundation simulation based on digital aerial photogrammetry

Rong, Youtong; Zhang, Ting; Zheng, Yanchen; Hu, Chunqi; Peng, Linfa; Feng, Ping

doi:10.1016/j.jhydrol.2019.124308

Cited by 57 publications

(28 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the IDF, a sample of 17 synthetic hyetographs was calculated, in order to prepare a set of events for populating the event catalogue. The synthetic hyetographs were built varying the following parameters of precipitation: (i) hyetograph shape (Chicago, right-side triangular or rectangular); (ii) return interval (5,20,20,100,200 and 500 years); (iii) rainfall duration (1, 7.6, 10, 12, and 24 h); (iv) rainfall depth (from 87 to 348 mm). For some events, the precipitation amount was increased by a percentage of 8-15% compared to the rainfall depth with the same duration in the IDF curve.…”

Section: Construction Of the Hydrological Databasementioning

confidence: 99%

“…As a matter of fact, the hydrological responses of urban and rural areas to precipitation are different, since they depend on different hydraulic and hydrological processes. Therefore, the models used for urban flood simulations need to account for the specific processes of the urban environment, where the stormwater follows multiple flow paths such as crossroads, sewers and buildings [6,[18][19][20]. Prediction of flooding effects can be carried out using several numerical models, which can be categorized into (a) one-dimensional (1D) models, (b) two-dimensional (2D) models, and (c) one-dimensional river flow models coupled with two-dimensional floodplain flow (1D-2D) models [21,22].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model

Filianoti

Nicotra

Labate

et al. 2020

Water

View full text Add to dashboard Cite

Forecasting floods in urban areas during a heavy rainfall is the aim of every early warning system. 2D-models produce the most accurate flood maps, but they are practically useless as quasi real-time tools, because their run times are comparable to times of propagation of floods. Run times of 1D-model are of tens of seconds, but their predictions lack accuracy and many useful indicators of flood severity. Our aim is the identification of the 2D-model map that is more similar to the actual map, chosen among those simulated off-line. To this aim, we produce a rough flood map of the occurring event, through a quasi real-time simulation of the rainfall-runoff using a 1D-model. Then we apply an original method, named “ranking approach”, to perform the best matching. This method is applied to the Corace torrent (Calabria, Southern Italy), using 17 synthetic hyetographs to simulate the same number of rainfall-runoff events, using 1D (SWMM) and 2D (MIKE) models. The method proves to be effective in 65% of the cases, while in 82% of cases (i.e., for 14 cases out 17), the event produced by the same ietograph falls within the third rank.

show abstract

Section: Construction Of the Hydrological Databasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model

Filianoti

Nicotra

Labate

et al. 2020

Water

View full text Add to dashboard Cite

show abstract

“…Over the past few decades, remote sensing has played a crucial role in monitoring floods, and it has also solved the challenges related to the availability of data (Sharma et al 2018;Wang and Xie 2018;Rong et al 2020). In recent times, GIS has been widely used in vulnerability and risk assessment studies as a decision support system for its database and analytical ability (Lyu et al 2018;Choubin et al 2019;Danso et al 2020).…”

Section: Introductionmentioning

confidence: 99%

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

Gupta

Dixit

2022

Geocarto International

View full text Add to dashboard Cite

Floods are hydrological disasters that can alter the physical, socioeconomic, and environmental settings of a region. The objective of the present study is to develop an efficient and reliable methodology to prepare a flood risk map for Assam, the North-eastern region (NER) of India, by the integration of hazard and vulnerability components. Three indices, namely flood hazard index (FHI), flood vulnerability index (FVI), and flood risk index (FRI), are developed using multi-criteria decision analysis (MCDA) -Analytical hierarchy process (AHP) approach in GIS environment for the regional and administrative level of Assam. The selected hazard and vulnerability indicators define the topographical, geological, meteorological, drainage characteristics, land use land cover, and demographical features of Assam. The results show that more than 70% of the total area lies in the moderate to very high FHI class, 57.37% have moderate to high FVI, and more than 50% have moderate to very high FRI class.

show abstract

“…Furthermore, with the rapid advance of computer technology and the increasing availability of digital elevation models (DEMs), 2-D models have become increasingly widely used to model flows in floodplains, lakes, rivers, and coastal regions (Hu and Kot, 1997;Mignot et al, 2006;Liang et al, 2007;Sun et al, 2008;El Kadi Abderrezzak et al, 2009;Caviedes-Voullième et al, 2014;An et al, 2015;Bellos and Tsakiris, 2015;Hu et al, 2017;Rollason et al, 2018;Pinos and Timbe, 2019;Haque et al, 2020). 3-D models, which can also represent vertical flows, have recently been used to assess flows in rivers, lakes, and coastal areas (Blumberg and Mellor, 1987;Casulli and Cattani, 1994;Kang and Sotiropoulos, 2012;Marsooli et al, 2016;Rong et al, 2020). However, they have rarely been used for flood hazard assessment because of their complexity, their cost, and the amount of time they require to analyze a large study area (World Bank Group, 2016;Wu and Lin, 2015).…”

Section: Introductionmentioning

confidence: 99%

Floodwater impacts on residential areas in floodplain areas along Day River system in emergency situation

Anh¹,

Tabata²,

Hiramatsu³

et al. 2021

Journal of the Faculty of Agriculture, Kyushu University

View full text Add to dashboard Cite

Hanoi, the capital of Vietnam, is protected from floods by dike systems for the Red and Day Rivers. In emergency situations resulting from catastrophic floods, floodwater from the Red River is discharged into the Van Coc Lake, which is a regulating reservoir that drains into the Day River system through the Day Weir at the downstream end of the Van Coc Lake. The authors investigated the flood mitigation function of the Van Coc Lake and identified an optimal operation scenario for the lake for the largest recorded flood, which occurred between the 16 th and 27 th of August 1971. However, a comprehensive evaluation of the flood risk level in residential areas within the floodplain areas located along the Day River system to determine an optimal operation scenario has not been conducted. In this study, a two-dimensional depth-integrated hydrodynamic model was employed to investigate flood risk levels in these residential areas when the floodwater level reached 11.0 m, 12.0 m, and 12.72 m (the flood peak) at the Day Weir and at 10 and 30 h after the flood peak, under the optimal operation scenario. The time at which floodwater from the Van Coc Lake reached the Day Weir was referred to as Time-0 in this study and was used to estimate the movement of floodwater. The study area, from the Day Weir to the downstream end, was more than 100 km in length and was divided into three zones: the northern part, designated Zone 1; the central part, designated Zone 2; and the downstream end part, designated Zone 3. The simulation results were used to produce reliable flood susceptibility maps that identify the areas at greatest risk of being impacted by floodwater. At the flood peak time, residential areas in the study area were inundated at levels of 84.00% (9.50 km 2 ) in Zone 1, 71.84% (29.18 km 2 ) in Zone 2, and 98.59% (13.31 km 2 ) in Zone 3. Floodwater needed 75, 87, and 135 h from Time-0 to reach 11.0 m, 12.0 m, and the flood peak at 12.72 m at the Day Weir. The results of this study form a basis for future land planning and the design of risk reduction strategies for the Day River system and serve as a strong warning about the dangers of floodwater throughout the study area.

show abstract

Three-dimensional urban flood inundation simulation based on digital aerial photogrammetry

Cited by 57 publications

References 38 publications

A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model

A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

Floodwater impacts on residential areas in floodplain areas along Day River system in emergency situation

Contact Info

Product

Resources

About