A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds

Doten, C. O.; Bowling, L. C.; Lanini, J; Maurer, Edwin P.; Lettenmaier, Dennis P.

doi:10.1029/2004wr003829

Cited by 56 publications

(56 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Doten et al () upgraded the model to include soil loss and sediment transport from four major processes: hillslope erosion, forest road erosion, mass wasting, and channel routing using a discrete approximation to the kinematic wave equation. Hillslope erosion is based on the System Hydrologique European sediment (SHESED) model (Burton & Bathurst, ; Wicks & Bathurst, ) and incorporates overland flow and raindrop impact.…”

Section: Methodsmentioning

confidence: 99%

“…TC is based on a unit stream power approach from the KINEROS model (Woolhiser et al, ) as

normalT normalC = \frac{0.05}{normald 50 {(|, \frac{normalP normalD normale normaln normals normali normalt normaly}{normalW normalD normale normaln normals normali normalt normaly} - 1)}^{2}} \sqrt{\frac{(s l o p e) (h)}{G}} (|, normalS normalP - normalc normalr normali normalt normali normalc normala normall normalt normalh normalr normale normals normalh normalo normall normald)

where d50 is median grain size (m), PDensity is particle density (kg/m 3 ), WDensity is water density (kg/m 3 ), slope is the slope of the bed (m/m), h is water depth (m), G is gravitational acceleration (m/s 2 ), (SP) is stream power (m/s), and critical threshold is a critical stream power threshold (m/s). A critical threshold of 0.004 m/s was used following Doten et al (). DOF is calculated as sheet flow; however, the dependency of

β_{normald normale}

on soil cohesion serves to represent an empirical parameter for rill erosion as well.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range

Stewart

Livneh

Kasprzyk

et al. 2017

J Adv Model Earth Syst

View full text Add to dashboard Cite

A new paradigm of simulating suspended sediment load (SSL) with a Land Surface Model (LSM) is presented here. Five erosion and SSL algorithms were applied within a common LSM framework to quantify uncertainties and evaluate predictability in two steep, forested catchments (>1,000 km 2 ). The algorithms were chosen from among widely used sediment models, including empirically based: monovariate rating curve (MRC) and the Modified Universal Soil Loss Equation (MUSLE); stochastically based: the Load Estimator (LOADEST); conceptually based: the Hydrologic Simulation Program—Fortran (HSPF); and physically based: the Distributed Hydrology Soil Vegetation Model (DHSVM). The algorithms were driven by the hydrologic fluxes and meteorological inputs generated from the Variable Infiltration Capacity (VIC) LSM. A multiobjective calibration was applied to each algorithm and optimized parameter sets were validated over an excluded period, as well as in a transfer experiment to a nearby catchment to explore parameter robustness. Algorithm performance showed consistent decreases when parameter sets were applied to periods with greatly differing SSL variability relative to the calibration period. Of interest was a joint calibration of all sediment algorithm and streamflow parameters simultaneously, from which trade‐offs between streamflow performance and partitioning of runoff and base flow to optimize SSL timing were noted, decreasing the flexibility and robustness of the streamflow to adapt to different time periods. Parameter transferability to another catchment was most successful in more process‐oriented algorithms, the HSPF and the DHSVM. This first‐of‐its‐kind multialgorithm sediment scheme offers a unique capability to portray acute episodic loading while quantifying trade‐offs and uncertainties across a range of algorithm structures.

show abstract

Section: Methodsmentioning

confidence: 99%

“…TC is based on a unit stream power approach from the KINEROS model (Woolhiser et al, ) as

normalT normalC = \frac{0.05}{normald 50 {(|, \frac{normalP normalD normale normaln normals normali normalt normaly}{normalW normalD normale normaln normals normali normalt normaly} - 1)}^{2}} \sqrt{\frac{(s l o p e) (h)}{G}} (|, normalS normalP - normalc normalr normali normalt normali normalc normala normall normalt normalh normalr normale normals normalh normalo normall normald)

β_{normald normale}

on soil cohesion serves to represent an empirical parameter for rill erosion as well.…”

Section: Methodsmentioning

confidence: 99%

A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range

Stewart

Livneh

Kasprzyk

et al. 2017

J Adv Model Earth Syst

View full text Add to dashboard Cite

show abstract

“…Its first application was concentrated in mountainous catchments located in Northwestern USA, representing the hydrology, the weather and the vegetation of temperate regions Vail;Lettenmaier, 1994). Afterwards, other studies in USA have contributed for the consolidation of the model, highlighting Bowling and Lettenmaier (2001) and Doten et al (2006). After that, DHSVM has been applied in other countries, like Canada (Whitaker et al, 2003), northern Taiwan (Chu et al, 2010), Japan (Yoshitani et al, 2009) and Brazilian Amazon Forest (Cuartas et al, 2012).…”

Section: Swat Calibrationmentioning

confidence: 99%

Agricultural watershed modeling: a review for hydrology and soil erosion processes

et al. 2016

View full text Add to dashboard Cite

Models have been used by man for thousands of years to control his environment in a favorable way to better human living conditions. The use of hydrologic models has been a widely effective tool in order to support decision makers dealing with watersheds related to several economic and social activities, like public water supply, energy generation, and water availability for agriculture, among others. The purpose of this review is to briefly discuss some models on soil and water movement on landscapes (RUSLE, WEPP, GeoWEPP, LASH, DHSVM and AnnAGNPS) to provide information about them to help and serve in a proper manner in order to discuss particular problems related to hydrology and soil erosion processes. Models have been changed and evaluated significantly in recent years, highlighting the use of remote sense, GIS and automatic calibration process, allowing them capable of simulating watersheds under a given land-use and climate change effects. However, hydrology models have almost the same physical structure, which is not enough for simulating problems related to the long-term effects of different land-uses. That has been our challenge for next future: to understand entirely the hydrology cycle, having as reference the critical zone, in which the hydrological processes act together from canopy to the bottom of aquifers.Index terms: RUSLE; WEPP; GeoWEPP; LASH; DHSVM; AnnAGNPS. RESUMOModelos têm sido usados pelo homem há milhares de anos para controlar seu ambiente de uma maneira favorável para melhores condições de vida para os humanos. O uso de modelos hidrológicos tem sido uma ferramenta muito eficaz para apoiar os decisores que lidam com as bacias hidrográficas para subsidiar diversas atividades econômicas e sociais, como o abastecimento público de água, geração de energia, e a disponibilidade de água para a agricultura, entre outros. Objetivou-se, nesta revisão, discutir brevemente alguns modelos muito aplicados ao estudo do movimento da água e solos em paisagens (RUSLE, WEPP, GeoWEPP, LASH, DHSVM and AnnAGNPS), para fornecer informações sobre os mesmos, para auxiliar no entendimento adequado de problemas específicos relacionados com os processos de hidrologia e erosão do solo. Modelos têm sido alterados e avaliados de forma significativa nos últimos anos, com destaque para o uso de sensoriamento remoto, GIS e processo de calibração automática, permitindo aos mesmos que sejam capazes de simular bacias hidrográficas nas suas condições atuais de uso do solo e mudanças climáticas. No entanto, os modelos hidrológicos têm quase a mesma estrutura física, o que não é suficiente para simular problemas relacionados com os efeitos a longo prazo de diferentes usos do solo. Esse tem sido um dos principais desafios para o futuro: compreender inteiramente o ciclo hidrológico, tendo como referência a zona crítica, na qual os processos hidrológicos agem em conjunto a partir do dossel até a base dos aquíferos.

show abstract

“…Large-scale spatial resolutions and fast calculations are common in this group of models. The SHETRANsport model SHETRAN with SHE standing for Système Hydrologique Européen (Lukey et al, 2000;Bathurst et al, 2010), the Distributed Hydrology-Soil-Vegetation Model (DHSVM) (Doten et al, 2006) and others (e.g. Mouri et al, 2011) fall in this group.…”

Section: Introductionmentioning

confidence: 99%

Calculation of bedload transport in Swiss mountain rivers using the model sedFlow: proof of concept

et al. 2015

View full text Add to dashboard Cite

Abstract.Fully validated numerical models specifically designed for simulating bedload transport dynamics in mountain streams are rare. In this study, the recently developed modelling tool sedFlow has been applied to simulate bedload transport in the Swiss mountain rivers Kleine Emme and Brenno. It is shown that sedFlow can be used to successfully reproduce observations from historic bedload transport events with plausible parameter set-ups, meaning that calibration parameters are only varied within ranges of uncertainty that have been predetermined either by previous research or by field observations in the simulated study reaches. In the Brenno river, the spatial distribution of total transport volumes has been reproduced with a Nash-Sutcliffe goodness of fit of 0.733; this relatively low value is partially due to anthropogenic extraction of sediment that was not considered. In the Kleine Emme river, the spatial distribution of total transport volumes has been reproduced with a goodness of fit of 0.949. The simulation results shed light on the difficulties that arise with traditional flow-resistance estimation methods when macro-roughness is present. In addition, our results demonstrate that greatly simplified hydraulic routing schemes, such as kinematic wave or uniform discharge approaches, are probably sufficient for a good representation of bedload transport processes in reach-scale simulations of steep mountain streams. The influence of different parameters on simulation results is semi-quantitatively evaluated in a simple sensitivity study. This proof-of-concept study demonstrates the usefulness of sedFlow for a range of practical applications in alpine mountain streams.

show abstract

A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds

Cited by 56 publications

References 39 publications

A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range

A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range

Agricultural watershed modeling: a review for hydrology and soil erosion processes

Calculation of bedload transport in Swiss mountain rivers using the model sedFlow: proof of concept

Contact Info

Product

Resources

About