Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping

Cook, Aaron A; Merwade, Venkatesh

doi:10.1016/j.jhydrol.2009.08.015

Cited by 417 publications

(302 citation statements)

References 12 publications

Supporting

Mentioning

284

Contrasting

Unclassified

Order By: Relevance

“…A similar phenomenon has been reported by Cook and Merwade [14]. They demonstrated that different amounts of the river cross-section data produced different amounts of coverage of the water surface.…”

Section: Discussionsupporting

confidence: 86%

See 1 more Smart Citation

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

Chen

Liu

2017

Water

View full text Add to dashboard Cite

A large amount of accurate river cross-section data is indispensable for predicting river stages. However, the measured river cross-section data are usually sparse in the transverse direction at each cross-section as well as in the longitudinal direction along the river channel. This study presents three algorithms to resample the river cross-section data points in both the transverse and longitudinal directions from the original data. A two-dimensional (2D) high-resolution unstructured-grid hydrodynamic model was used to assess the performance of the original and resampled cross-section data on a simulated river stage under low flow and high flow conditions. The simulated river stages are significantly improved using the resampled cross-section data based on the linear interpolation in the tidal river and non-tidal river segments. The resampled cross-section data based on the linear interpolation satisfactorily maintains the topographic and morphological features of the river channel, especially in the meandering river segment. Furthermore, the performance of the 2D and three-dimensional (3D) models on the simulated river stage was also evaluated using the resampled cross-section data. The results indicate that the 2D and 3D models reproduce similar river stages in both tidal and non-tidal river segments under the low flow condition. However, the 2D model overestimates the river stages in both the tidal and non-tidal river segments compared to the 3D model under the high flow condition. The model sensitivity was implemented to investigate the influence of bottom drag coefficient and vertical eddy viscosity on river stage using 2D and 3D models based on the linear interpolation method to resample river bed cross-section. The results reveal that the change of bottom drag coefficient has a minor impact on river stage, but the change of vertical eddy viscosity is insensitive to river stage.

show abstract

Section: Discussionsupporting

confidence: 86%

“…A large amount of bathymetric and topographic data is a primary requirement for 2D/3D water stage simulation [3,7,14,15]. An adequate interpolation method is also indispensable need to make accurate predictions at unmeasured locations using discrete data.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

Chen

Liu

2017

Water

View full text Add to dashboard Cite

show abstract

“…Cook and Merwade (2009) stated that the addition of cross sections would be followed by an increase of model result detail level. Based on this, the number of cross sections in study area was increased from 44 to 324 using interpolation technique.…”

Section: Resultsmentioning

confidence: 99%

“…It is for this reason that problems in Citarum Watershed have to be immediately responded with accuracy. One of the efforts to overcome flood related-problems is by providing the public with convincing information on flood risk through flood inundation map (Cook & Merwade 2009). …”

Section: Introductionmentioning

confidence: 99%

Effects of Forest Cover Change on Flood Characteristics in the Upper Citarum Watershed

Dasanto

Pramudya

Boer

et al. 2014

jtfm

View full text Add to dashboard Cite

show abstract

“…Dottori et al (2013) caution that the cost of fine-resolution analysis may not be justified for flood inundation modeling, where the main goal is to predict flood stage and flood extent, given other sources of uncertainty. However, a number of researchers have found that a metric resolution is needed to reasonably approximate hydraulic habitat, i.e., local depth and velocity, which is relevant to river ecology and morphology (Crowder and Diplas, 2000;Cook and Merwade, 2009;Clifford et al, 2010;Williams et al, 2013;Abu-Aly et al, 2014). Furthermore, with the aid of analytical models for the vertical velocity distribution including a characterization of bed roughness, metric-resolution 2D models can reconstruct a 3D characterization of flow for a wide range of applications at far less computational expense than 3D models based on the Navier-Stokes equations (Begnudelli et al, 2010;Abu-Aly et al, 2014;Wyrick et al, 2014), although there are many examples of 3D flow phenomena that demand 3D models for an accurate description such as horseshoe vortices around bridge piers and similarly complex turbulent velocity fluctuations occurring around boulders, large bed forms, and other types of flow obstructions (Wu, 2007;Javernick et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Metric-Resolution 2D River Modeling at the Macroscale: Computational Methods and Applications in a Braided River

2015

View full text Add to dashboard Cite

Metric resolution digital terrain models (DTMs) of rivers now make it possible for multi-dimensional fluid mechanics models to be applied to characterize flow at fine scales that are relevant to studies of river hydraulic geometry (HG) and ecological habitat, or microscales. These developments are important for managing rivers because of the potential to better understand system dynamics, anthropogenic impacts, and the consequences of proposed interventions. However, the data volumes and computational demands of microscale river modeling have largely constrained applications to small multiples of the channel width, or the mesoscale. This report presents computational methods to extend a microscale river model beyond the mesoscale to the macroscale, defined as large multiples of the channel width. A method of automated unstructured grid generation is presented that automatically clusters fine resolution cells in areas of curvature (e.g., channel banks), and places relatively coarse cells in areas lacking topographic variability. This overcomes the need to manually generate breaklines to constrain the grid, which is painstaking at the mesoscale and virtually impossible at the macroscale. The method is applied to a braided river (BR) and shown to yield an efficient fine resolution model. The sensitivity of model output to grid design and resistance parameters is also examined based on analysis of hydrology, HG, and river hydraulic habitats and the findings reiterate the importance of model calibration and validation.

show abstract

Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping

Cited by 417 publications

References 12 publications

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

Modeling the Influence of River Cross-Section Data on a River Stage Using a Two-Dimensional/Three-Dimensional Hydrodynamic Model

Effects of Forest Cover Change on Flood Characteristics in the Upper Citarum Watershed

Metric-Resolution 2D River Modeling at the Macroscale: Computational Methods and Applications in a Braided River

Contact Info

Product

Resources

About