Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling

Chen, Huili; Liang, Qiuhua; Liu, Yong; Xie, Shuguang

doi:10.1016/j.jhydrol.2018.01.056

Cited by 41 publications

(23 citation statements)

References 90 publications

(86 reference statements)

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“…To tackle this issue, the creation of a new open-access high-accuracy global DEM is being strongly advocated for by the flooding community (e.g., Sampson et al, 2016;Schumann et al, 2014). Moreover, error-corrected versions of the SRTM DEM such as the Australian 1-arc-sec-resolution Hydrologically Enforced DEM Gallant, Wilson, et al, 2011) and the global 3-arc-sec-resolution "Multi-Error-Removed Improved-Terrain DEM (MERIT DEM)" (Yamazaki et al, 2017) have been released, and strategies to enhance the efficiency of DEMs for hydraulic modeling have been proposed (e.g., Baugh et al, 2013;Chen et al, 2018;Hirt, 2018;Jarihani et al, 2015;Mason et al, 2016;O'Loughlin et al, 2016). However, any DEM is inherently affected by errors and uncertainties, especially in highly complex morphological areas.…”

Section: Hydrological Regime Morphological Features and Simulation mentioning

confidence: 99%

Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods

Grimaldi

Schumann

Shokri

et al. 2019

Water Resources Research

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Flood modeling at the regional to global scale is a key requirement for equitable emergency and land management. Coupled hydrological‐hydraulic models are at the core of flood forecasting and risk assessment models. Nevertheless, each model is subject to uncertainties from different sources (e.g., model structure, parameters, and inputs). Understanding how uncertainties propagate through the modeling cascade is essential to invest in data collection, increase flood modeling accuracy, and comprehensively communicate modeling results to end users. This study used a numerical experiment to quantify the propagation of errors when coupling hydrological and hydraulic models for multiyear flood event modeling in a large basin, with large morphological and hydrological variability. A coupled modeling chain consisting of the hydrological model Hydrologiska Byråns Vattenbalansavdelning and the hydraulic model LISFLOOD‐FP was used for the prediction of floodplain inundation in the Murray Darling Basin (Australia), from 2006 to 2012. The impacts of discrepancies between simulated and measured flow hydrographs on the predicted inundation patterns were analyzed by moving from small upstream catchments to large lowland catchments. The numerical experiment was able to identify areas requiring tailored modeling solutions or data collection. Moreover, this study highlighted the high sensitivity of inundation volume and extent prediction to uncertainties in flood peak values and explored challenges in time‐continuous modeling. Accurate flood peak predictions, knowledge of critical morphological features, and an event‐based modeling approach were outlined as pragmatic solutions for more accurate prediction of large‐scale spatiotemporal patterns of flood dynamics, particularly in the presence of low‐accuracy elevation data.

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Section: Hydrological Regime Morphological Features and Simulation mentioning

confidence: 99%

Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods

Grimaldi

Schumann

Shokri

et al. 2019

Water Resources Research

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“…Errors are reduced by separating and removing absolute bias, stripe noise, speckle noise and vegetation bias, with the most significant improvements reported in flat regions (Yamazaki et al, 2017). Compared to SRTM, MERIT has fewer artifacts (Hirt, 2018) and a better performance in flood models compared to SRTM (Chen et al, 2018). Whilst a significant improvement on SRTM, MERIT is still fundamentally based on SRTM data and is thus limited by the errors in SRTM.…”

Section: Dem Editingmentioning

confidence: 99%

Perspectives on Digital Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a High-Accuracy Open Access Global DEM

et al. 2018

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Open-access global Digital Elevation Models (DEM) have been crucial in enabling flood studies in data-sparse areas. Poor resolution (>30 m), significant vertical errors and the fact that these DEMs are over a decade old continue to hamper our ability to accurately estimate flood hazard. The limited availability of high-accuracy DEMs dictate that dated open-access global DEMs are still used extensively in flood models, particularly in datasparse areas. Nevertheless, high-accuracy DEMs have been found to give better flood estimations, and thus can be considered a 'must-have' for any flood model. A highaccuracy open-access global DEM is not imminent, meaning that editing or stochastic simulation of existing DEM data will remain the primary means of improving flood simulation. This article provides an overview of errors in some of the most widely used DEM data sets, along with the current advances in reducing them via the creation of new DEMs, editing DEMs and stochastic simulation of DEMs. We focus on a geostatistical approach to stochastically simulate floodplain DEMs from several open-access global DEMs based on the spatial error structure. This DEM simulation approach enables an ensemble of plausible DEMs to be created, thus avoiding the spurious precision of using a single DEM and enabling the generation of probabilistic flood maps. Despite this encouraging step, an imprecise and outdated global DEM is still being used to simulate elevation. To fundamentally improve flood estimations, particularly in rapidly changing developing regions, a high-accuracy open-access global DEM is urgently needed, which in turn can be used in DEM simulation.

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“…With the development of hydrodynamics, DEM repair methods are becoming more and more mature. Based on the map of heaven and earth, the paper superimposes the location information of the natural water system on the basis of DEM as the constraint condition for the extraction of watershed features [24][25] . The location information of natural river system is completed by electronic map rasterization, which forms the standardized river channel information.…”

Section: Dem Abnormal Point Correction Techniquementioning

confidence: 99%

A Preliminary Study on Constructing the Bed Sounding Data from DEM

Shanghai¹

2020

AJGRR

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Accurate riverbed information, including riverbed shape, sounding data and elevation data, is needed to simulate the process of flooding in flooded areas by using two-dimensional hydrodynamic model. DEM data is an important feature reflecting topographic changes and plays an important role in hydrological model analysis.However, in the plain area where DEM elevation changes are very small, the extraction and simulation of river network are of low accuracy in the process of hydrologic analysis, and there are great errors in watershed division. Taking the Mihe river basin, shouguang city, shandong province as the research object, based on WMS to abnormal proofreading is smoothing the center line of the river, get in line with the physical meaning of vector river network, the inversion to the original elevation data (DEM), and on this basis, with the river elevation information center line interpolation, construct a sounding data of river model, provide technical support for the two-dimensional hydrodynamic model.

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Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling

Abstract: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence Newcastle University ePrints-eprint.ncl.ac.uk Chen H, Liang Q, Liu Y, Xie S. Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling.

Cited by 41 publications

References 90 publications

Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods

Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods

Perspectives on Digital Elevation Model (DEM) Simulation for Flood Modeling in the Absence of a High-Accuracy Open Access Global DEM

A Preliminary Study on Constructing the Bed Sounding Data from DEM

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