An Investigation of DEM Resolution Influence on Flood Inundation Simulation

Hsu, Ya-Chu; Prinsen, Geert; Bouaziz, Laurène; Lin, Y.C.; Dahm, Ruben

doi:10.1016/j.proeng.2016.07.435

Cited by 30 publications

(13 citation statements)

References 2 publications

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“…In the study stretch, there is a tendency where the flood area decreases with the more accurate resolution. This result coincides with the result obtained by Hsu et al (2016) which showed that the flood area increased with coarser DEMs.…”

Section: Flood Areas Mappingsupporting

confidence: 92%

“…The resulting cross-sections were confronted with the actual surveyed cross-sections, revealing adequate correlations. Hsu et al (2016) investigated the influence of DEM resolutions on 2-D flood inundation simulation in Sanyei drainage area of Tainan City (Taiwan). The authors started with a 1×1m LiDAR DEM and later used it as basis to aggregate several DEMs including: 5×5m, 10×10m, 20×20m, 40×40m.…”

Section: Introductionmentioning

confidence: 99%

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Influence of different sources of topographic data on flood mapping: urban area São Vendelino municipality, southern Brazil

Zambrano

Kobiyama

Pereira

et al. 2020

RBRH

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Generally, the base for any flood mapping is the topography information whose resolution determines the map accuracy. Furthermore, river bathymetry in detail and the type of used model are also relevant. Therefore, the objective of the present study was to evaluate the influence of different sources of topographic data on the flood mapping by using the CAESAR-Lisflood model and three Digital Elevation Model (DEM) configurations, among which two were freely available, and the other was generated with field survey (topography and bathymetry). First, the resolution and precision of each DEM were evaluated, from the comparison of different cross-sections, besides the variation of the wetted area and absolute value of the relative error in mean velocity as a function of depth. Subsequently, after elaborating flood maps with each DEM, the results were compared in terms of flood area, mean flood width and flow depth. It is observed that the more accurate resolution, the smaller the flood area becomes. The flood map elaborated with the DEM through field survey had the best fit to the observed area. However the relation between the topographic resolutions and flow-depths was not clear in obtained results.

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Section: Flood Areas Mappingsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Influence of different sources of topographic data on flood mapping: urban area São Vendelino municipality, southern Brazil

Zambrano

Kobiyama

Pereira

et al. 2020

RBRH

View full text Add to dashboard Cite

show abstract

“…Elevation datasets are used in flood mapping to define the topographic features (slopes, banks, levees, etc.) of the area being modeled; therefore the spatial resolution and vertical accuracy of the elevation datasets being used have a large impact on the accuracy of flood inundation maps being generated (Ali et al, 2015;Brandt and Lim, 2012;Cook and Merwade, 2009;Hsu et al, 2016). A thorough investigation of the impacts of various elevation datasets on the accuracy of flood inundation maps generated using AutoRoute+ARPP is outside the scope of this paper.…”

Section: Flood Inundation Mapping Test Using a High-resolution Demmentioning

confidence: 99%

Improved accuracy and efficiency of flood inundation mapping of low-, medium-, and high-flow events using the AutoRoute model

Follum

Vera

Tavakoly

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. This article presents improvements and the development of a postprocessing module for the regional-scale flood mapping tool, AutoRoute. The accuracy of this model to simulate low-, medium-, and high-flow-rate scenarios is demonstrated at seven test sites within the US. AutoRoute is one of the tools used to create high-resolution flood inundation maps at regional to continental scales, but it has previously only been tested using extreme flood events. Modifications to the AutoRoute model and postprocessing scripts are shown to improve accuracy (e.g., average F value increase of 17.5 % for low-flow events) and computational efficiency (simulation time reduced by over 40 %) when compared to previous versions. Although flood inundation results for low-flow events are shown to be comparable with published values (average F value of 63.3 %), the model results tend to be overestimated, especially in flatter terrain. Higher-flow scenarios tend to be more accurately simulated (average F value of 77.5 %). With improved computational efficiency and the enhanced ability to simulate both low- and high-flow scenarios, the AutoRoute model may be well suited to provide first-order estimates of flooding within an operational, regional- to continental-scale hydrologic modeling framework.

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“…The digital elevation model (DEM), as the digital expression of surface morphology (Burrough and McDonnell 1998;Aguilar et al 2005), is one of the most important basic geographic information data. It plays a key data supporting role in geoscientific analysis and process simulations (Hutchinson and Gallant 2000;Pike 2000), and they have been widely applied to describe terrain characteristics (Fisher 1991;Hunter and Goodchild 1997) in hydrological (Moore et al 1991;Murphy et al 2008), environmental protection (Li and Chen 2005), natural disaster analyses (Claessens et al 2005;Kawabata et al 2010), as well as material and energy transmission in the city (Bottyan Z, Unger J., 2003;Ratti C, et al 2002;Ratti C, et al 2006;Maruyama T. 1999; Kusaka H, et al, 2001), urban rainfall and flood analysis (Fereshtehpour M., Karamouz M, 2018;Saksena S., Merwade V, 2015;Hsu Y. C et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Research on Dem Construction Methods With Effective Integration of Topographic Feature Lines

Wang¹,

Zhao²

2021

Preprint

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In cities and other human activity areas, the implementation of various ground projects has resulted in significant changes in natural surface morphology, a prominent feature of which is the formation of a variety of discontinuous terrains, such as roads and building basements. In the process of DEM modeling of these landforms, traditional modeling methods produce obvious topographic distortions at topographic prominences, which limits the application depth of DEMs in these areas. To solve these problems, this paper proposes a DEM modeling method to enhance the expression of discontinuous terrain from the perspective of simplicity and convenience for application. The method is based on terrain data such as topographic feature lines, altimetric points, and contour lines. First, parallel feature lines are generated according to a certain distance. Then, vertices are inserted into the topographic feature line and the parallel feature line according to the specified step length, and the known altimetric points are selected from both sides of the original topographic feature line to estimate the height value of the vertices. Finally, by combining the topographic feature line, parallel feature line and other available topographic data for TIN construction, the result can effectively express the special topography of discontinuous terrain. In this study, a region in Nanjing City, Jiangsu Province, China, was selected as the study area to conduct a DEM construction experiment. The experimental results showed that the DEM constructed by this method could well express the morphological characteristics of discontinuous terrain, and the height accuracy of the construction results was also significantly improved compared with that of the conventional method.

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An Investigation of DEM Resolution Influence on Flood Inundation Simulation

Cited by 30 publications

References 2 publications

Influence of different sources of topographic data on flood mapping: urban area São Vendelino municipality, southern Brazil

Influence of different sources of topographic data on flood mapping: urban area São Vendelino municipality, southern Brazil

Improved accuracy and efficiency of flood inundation mapping of low-, medium-, and high-flow events using the AutoRoute model

Research on Dem Construction Methods With Effective Integration of Topographic Feature Lines

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