Effects of topographic data resolution and spatial model resolution on a bi-dimensional hydro-morphological model

Frank, E.; Montoya, M.; Fattorelli, S.

doi:10.2495/rm070311

Cited by 3 publications

(3 citation statements)

References 5 publications

(6 reference statements)

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“…The choice of spatial resolution therefore becomes a factor that the modeler has to determine a priori to be able to cover specific spatial and temporal contexts similar to those here investigated. There is considerable research examining the influence of topographic detail on model output using sensitivity analysis, especially in hydrodynamics [ Bates et al ., ; Horritt and Bates , ; Casas et al ., ; Frank et al ., ; Legleiter et al ., ] and landscape evolution modeling [ Hancock , ; Hancock et al ., ; Hancock , ]. We are aware that the ranking of factors obtained in this study can depend on data resolution (i.e., size of DEM cell) but accounting for spatial resolution in this study was assessed as unfeasible.…”

Section: Discussionmentioning

confidence: 99%

Reduced-complexity modeling of braided rivers: Assessing model performance by sensitivity analysis, calibration, and validation

Ziliani

Surian

Coulthard

et al. 2013

J. Geophys. Res. Earth Surf.

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[1] This paper addresses an important question of modeling stream dynamics: How may numerical models of braided stream morphodynamics be rigorously and objectively evaluated against a real case study? Using simulations from the Cellular Automaton Evolutionary Slope and River (CAESAR) reduced-complexity model (RCM) of a 33 km reach of a large gravel bed river (the Tagliamento River, Italy), this paper aims to (i) identify a sound strategy for calibration and validation of RCMs, (ii) investigate the effectiveness of multiperformance model assessments, (iii) assess the potential of using CAESAR at mesospatial and mesotemporal scales. The approach used has three main steps: first sensitivity analysis (using a screening method and a variance-based method), then calibration, and finally validation. This approach allowed us to analyze 12 input factors initially and then to focus calibration only on the factors identified as most important. Sensitivity analysis and calibration were performed on a 7.5 km subreach, using a hydrological time series of 20 months, while validation on the whole 33 km study reach over a period of 8 years (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009). CAESAR was able to reproduce the macromorphological changes of the study reach and gave good results as for annual bed load sediment estimates which turned out to be consistent with measurements in other large gravel bed rivers but showed a poorer performance in reproducing the characteristics of the braided channel (e.g., braiding intensity). The approach developed in this study can be effectively applied in other similar RCM contexts, allowing the use of RCMs not only in an explorative manner but also in obtaining quantitative results and scenarios.Citation: Ziliani, L., N. Surian, T. J. Coulthard, and S. Tarantola (2013), Reduced-complexity modeling of braided rivers: Assessing model performance by sensitivity analysis, calibration, and validation,

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Section: Discussionmentioning

confidence: 99%

Reduced-complexity modeling of braided rivers: Assessing model performance by sensitivity analysis, calibration, and validation

Ziliani

Surian

Coulthard

et al. 2013

J. Geophys. Res. Earth Surf.

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“…Such grid-based trajectories could also be used as high-resolution input data for bathymetric interpolation algorithms (c.f Schäppi et al, 2010). and increase the reliability of model results (c.f Frank et al, 2007)…”

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confidence: 99%

Performance and accuracy of cross‐section tracking methods for hydromorphological habitat assessment in wadable rivers with sparse canopy conditions

Schroff,

De Cesare,

Perona

2024

River Research & Apps

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This article investigates the performance and accuracy of continuous Real‐Time Kinematic (RTK) Global Navigation Satellite System (GNSS) position tracking for hydromorphological surveys, based on a comprehensive river restoration monitoring campaign. The aim of the research was to assess the method's suitability for efficient data collection in turbid, wadable rivers with sparse canopy conditions, and responds to the water management sector's increasing demand for efficient, low‐cost, and robust survey techniques. The methodological approach involved comparing manual, cross‐sectional water depth measurements to water depth estimations obtained by applying different interpolation methods to the continuous tracking data. The results demonstrate good agreement between both datasets (R2 = 0.77, RMSE = 0.13 m). When using a local standard deviation filter to remove noisy RTK‐GNSS measurements, estimation performance increased significantly (R2 = 0.96, RMSE = 0.06 m). The filter's influence on the hydromorphological habitat statistics mean water depth and coefficient of variation was limited but proved to be relevant for reach‐scale assessments of hydromorphological diversity. Based on a correlation analysis of >106 RTK‐GNSS position logs, we furthermore assessed the impact of tree canopy on RTK‐GNSS measurement accuracy and observed a strong influence within 6.5 m from the canopy border. Estimated accuracy deteriorated noticeably when canopy penetration exceeded 1 m, and accuracies >1 m were common beyond 4 m penetration. The study highlights the efficiency gains achieved with RTK‐GNSS tracking, and showcases its potential for hydromorphological surveys and streamgaging applications in challenging conditions, making it a promising alternative to traditional methods and remote sensing techniques.

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“…Two dimensional models are commonly used to evaluate flows in lowland catchments [3][4][5]. The topographic data resolution affects flow routing [6][7][8]. Generally good digital terrain models (DEMs) must contain an accurate description of micro topography (e.g.…”

Section: Introductionmentioning

confidence: 99%

Flood risk modelling with LiDAR technology

Sole¹,

Giosa²,

Nolè³

et al. 2008

WIT Transactions on Ecology and the Environment

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Floods are one of the most serious, common and costly natural disasters that many countries are facing. Climate change and growing urban areas have dramatically increased the frequency and the severity of flood events. This has enhanced the interest of the Scientific Community and of public institutions into creating more accurate studies regarding the delineation of possible flood areas. In mountain and hill areas, it is much easier to mark the flood areas even with a one-dimensional scheme, while in lowlands the accurate delimitation of flood areas becomes much more difficult requiring a more detailed description of the territory. In particular, the definition of flood areas in coastal zones is extremely difficult because of the small changes in the land surface elevation and because of the presence of manmade structures that may significantly modify flood distribution. The area of study is the Ionian coastal plain of the Basilicata region (Southern Italy) crossed by five of the six main rivers of the region (Bradano, Basento, Cavone, Agri and Sinni). This work aims to: analyze the capacity of LaserScan data for the description of coastal morphology and to model flood risk areas; define a DTM able to describe the channel and floodplain morphology working on high resolution laser altimetry data and topographic data; define the most effective strategy for the delineation of flood areas using the comparison of the one dimensional model (Hec-Ras developed by the Hydrologic Engineering Center of USACE) versus the two dimensional scheme (MIKE 21 HD by the Danish Hydraulic Institute, FLO-2D by O'Brien (FLO-2D User Manual.

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Effects of topographic data resolution and spatial model resolution on a bi-dimensional hydro-morphological model

Cited by 3 publications

References 5 publications

Reduced-complexity modeling of braided rivers: Assessing model performance by sensitivity analysis, calibration, and validation

Reduced-complexity modeling of braided rivers: Assessing model performance by sensitivity analysis, calibration, and validation

Performance and accuracy of cross‐section tracking methods for hydromorphological habitat assessment in wadable rivers with sparse canopy conditions

Flood risk modelling with LiDAR technology

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