Effects of spatial resolution on a raster based model of flood flow

Horritt, M. S.; Bates, Paul

doi:10.1016/s0022-1694(01)00490-5

Cited by 335 publications

(262 citation statements)

References 15 publications

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“…The effect of scaling may not be straightforward and model response complex (Hardy et al, 1999). For instance, higher resolution of generically identical DEMs does not necessarily improve modeling results, as Horritt and Bates (2001) showed using a hydraulic raster-based flowrouting model. Stevens et al (2002) investigated the effects of grid-spacing on lahar inundation zones predicted by LAHARZ by comparing a 10 m-gridded DEM with resampled derivatives of 30 m and 90 m resolution.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Huggel

Schneider

Miranda

et al. 2008

Journal of Volcanology and Geothermal Research

115

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Lahars are among the most serious and far-reaching volcanic hazards. In regions with potential interactions of lahars with populated areas and human structures the assessment of the related hazards is crucial for undertaking appropriate mitigating actions and reduce the associated risks. Modeling of lahars has become an important tool in such assessments, in particular where the geologic record of past events is insufficient. Mass-flow modeling strongly relies on digital terrain data. Availability of digital elevation models (DEMs), however, is often limited and thus an obstacle to lahar modeling. Remote-sensing technology has now opened new perspectives in generating DEMs. In this study, we evaluate the feasibility of DEMs derived from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Shuttle Radar Topography Mission (SRTM) for lahar modeling on Popocatépetl Volcano, Mexico. Two GIS-based models are used for lahar modeling, LAHARZ and a flow-routing-based debris-flow model (modified single-flow direction model, MSF), both predicting areas potentially affected by lahars. Results of the lahar modeling show that both the ASTER and SRTM DEMs are basically suitable for use with LAHARZ and MSF. Flow-path prediction is found to be more reliable with SRTM data, though with a coarser spatial resolution. Errors of the ASTER DEM affecting the prediction of flow paths due to the sensor geometry are associated with deeply incised gorges with north-facing slopes. LAHARZ is more sensitive to errors of the ASTER DEM than the MSF model. Lahar modeling with the ASTER DEM results in a more finely spaced predicted inundation area but does not add any significant information in comparison with the SRTM DEM. Lahars at Popocatépetl are modeled with volumes of 1 × 10 5 to 8 × 10 6 m 3 based on ice-melt scenarios of the glaciers on top of the volcano and data on recent and historical lahar events. As regards recently observed lahars, the travel distance of lahars of corresponding volume modeled with LAHARZ falls short by 2 to 4 km. An important finding is that the travel distance of potential lahar events modeled with LAHARZ may differ by about 2 km when using SRTM or ASTER data because of varying lateral flow-volume distribution. As a consequence, verification and sensitivity analysis of the DEM is fundamental to deriving hazard maps from predicted modeled inundation areas. Because of the global coverage of this type of remote-sensing data, the conclusion that both SRTM and ASTER-derived DEMs are feasible for lahar modeling opens a wide field of application in volcanic-hazards studies.

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Section: Discussionmentioning

confidence: 99%

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Huggel

Schneider

Miranda

et al. 2008

Journal of Volcanology and Geothermal Research

115

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“…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

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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.

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“…Therefore, we restrict the calibration to only the roughness parameters (e.g. as in Romanowicz et al 80 (1996); Aronica et al (1998);Horritt and Bates (2001); Hostache et al (2009);Di Baldassarre et al (2009a); Schumann et al (2014)). We focus on the River Dee, which has been used several times to test different hypotheses and techniques 4 related to flood inundation modelling (Di Baldassarre et al, 2009a;Stephens et al, 2012;Schumann et al, 2014).…”

mentioning

confidence: 99%

“…for flood inundation modelling (Horritt and Bates, 2001;Pappenberger et al, 2006;Horritt et al, 2007;Di Baldassarre et al, 2009a;Neal et al, 2013) only distinguish between Manning coefficients in the main channel and floodplain and assume they are temporally and spatially constant. In this study, we follow the same assumption and thus only discern between a Manning coefficient for 170 the floodplain (n f p ) and for the channel (n ch ).…”

mentioning

confidence: 99%

Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

Gobeyn

Wesemael

Neal

et al. 2017

Advances in Water Resources

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Effects of spatial resolution on a raster based model of flood flow

Cited by 335 publications

References 15 publications

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

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

Impact of the timing of a SAR image acquisition on the calibration of a flood inundation model

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