Sediment delivery modeling in practice: Comparing the effects of watershed characteristics and data resolution across hydroclimatic regions

Hamel, Perrine; Falinski, Kim; Sharp, Richard; Auerbach, Daniel A.; Sánchez-Canales, María; Dennedy‐Frank, P. James

doi:10.1016/j.scitotenv.2016.12.103

Cited by 87 publications

(38 citation statements)

References 25 publications

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“…In order to adapt the RUSLE to a two-dimensional landscape, the upslope length is replaced by the unit contributing area, i.e., the upslope drainage per unit of contour length. The use of contributing areas implies that the effects of flow convergence and divergence on topographically complex landscapes are explicitly accounted for [51].…”

Section: Watem/sedemmentioning

confidence: 99%

Modelling of Soil Erosion and Accumulation in an Agricultural Landscape—A Comparison of Selected Approaches Applied at the Small Stream Basin Level in the Czech Republic

Jakubínský

Pechanec

Procházka

et al. 2019

Water

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This article deals with the modelling of erosion and accumulation processes in the contemporary cultural landscape of Central Europe. The area of interest is the headwater part of the small stream catchment—the Kopaninský Stream in central Czech Republic. It is an agricultural and forest–agricultural landscape with a relatively rugged topography and riverbed slope, which makes the terrain very vulnerable to water erosion. The main aim of this article is to compare the results of four selected soil erosion and sediment delivery models, which are currently widely used to quantitate the soil erosion and sediment accumulation rates, respectively. The models WaTEM/SEDEM, USPED, InVEST and TerrSet work on several different algorithms. The model outputs are compared in terms of the total volume of eroded and accumulated sediment within the catchment per time unit, and further according to the spatial distribution of sites susceptible to soil loss or sediment accumulation. Although each model is based partly on a specific calculation algorithm and has different data pre-processing requirements, we have achieved relatively comparable results in calculating the average annual soil loss and accumulation. However, each model is distinct in identifying the spatial distribution of specific locations prone to soil loss or accumulation processes.

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Section: Watem/sedemmentioning

confidence: 99%

Modelling of Soil Erosion and Accumulation in an Agricultural Landscape—A Comparison of Selected Approaches Applied at the Small Stream Basin Level in the Czech Republic

Jakubínský

Pechanec

Procházka

et al. 2019

Water

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“…A major challenge for empirical‐based models is meaningful parameterization across regions with limited data. Model parameters that are borrowed from other regions may misestimate actual pollutant loads by orders of magnitude (Hamel et al., ). A recent analysis found that global‐scale models of sediment delivery were highly inaccurate when compared against local data, however predictions could be drastically improved by accounting for local spatial variability in erosion and sediment delivery, even with limited local scale data (Hamel et al., ).…”

Section: Modelling the Land‐sea‐fisheries Processmentioning

confidence: 99%

“…Model parameters that are borrowed from other regions may misestimate actual pollutant loads by orders of magnitude (Hamel et al., ). A recent analysis found that global‐scale models of sediment delivery were highly inaccurate when compared against local data, however predictions could be drastically improved by accounting for local spatial variability in erosion and sediment delivery, even with limited local scale data (Hamel et al., ). The approach offers a way forward for developing relatively accurate empirical methods that can estimate sediment delivery in catchments that lack gauge data.…”

Section: Modelling the Land‐sea‐fisheries Processmentioning

confidence: 99%

A guide to modelling priorities for managing land‐based impacts on coastal ecosystems

Brown

Jupiter

Albert

et al. 2019

Journal of Applied Ecology

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1. Pollution from land-based run-off threatens coastal ecosystems and the services they provide, detrimentally affecting the livelihoods of millions people on the world's coasts. Planning for linkages among terrestrial, freshwater and marine ecosystems can help managers mitigate the impacts of land-use change on water quality and coastal ecosystem services.2. We examine the approaches used for land-sea planning, with particular focus on the models currently used to estimate the impacts of land-use change on water quality and fisheries. Our findings could also be applied to other ecosystem services. This Review encompasses modelling of: large scale drivers of land-use change; local activities that cause such change; run-off, dispersal and transformation of pollutants in the coastal ocean; ecological responses to pollutants; socioeconomic responses to ecological change; and finally, the design of a planning response.3. We find that there is a disconnect between the dynamical models that can be used to link land to sea processes and the simple tools that are typically used to inform planning. This disconnect may weaken the robustness of plans to manage dynamic processes. Land-sea planning is highly interdisciplinary, making the development of effective plans a challenge for small teams of managers and decision makers.4. Synthesis and applications. We propose some guiding principles for where and how dynamic land-sea connections can most effectively be built into planning tools. | 1107Journal of Applied Ecology BROWN et al.

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“…A obtenção de dados de uso e ocupação do solo e topográficos junto com outras características hidrológicas pode ser manipulada para gerar informações do cenário atual, fazer estimativas baseado em cenários mais antigos ou planejamento de cenários futuros. Uma das principais funções dessa ferramenta associada à modelos de predição de sedimentos é identificar os locais que produzem mais sedimentos para buscar a sua restauração ou adoção de práticas conservacionistas e manejo do solo (Hamel et al 2016).…”

Section: Introductionunclassified

Avaliação De Diferentes Cenários Na Produção De Sedimentos Em Uma Microbacia Hidrográfica Amazônica

Dorneles¹,

Almeida

Zolin

et al. 2019

G. Sci.

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O objetivo deste trabalho foi estimar a produção de sedimentos na microbacia hidrográfica do rio Caiabi (MBHRC) utilizando a MUSLE com um evento de precipitação comum à região, avaliando seus parâmetros e a importância do seu uso aliado ao SIG para a observação de diferentes cenários. Na simulação foram gerados os mapas do fator R, fator K, fator topográfico LS e o fator C. Foram utilizadas imagens de satélites dos anos de 1993 e de 2015 para representar o uso e ocupação do solo. O cenário com uso do solo similar ao proposto no código florestal brasileiro e condição de superfície favorável (C1) e em condição de superfície desfavorável (C2) produziram 282,37 Megagramas (Mg) e 1.309,93 Mg respectivamente. No cenário com uso do solo mais próximo ao atual e condição de superfície favorável (C3) e condição de superfície desfavorável (C4) tiveram respectivamente 1.194,55 Mg e 3.167,56 Mg. O C1 foi o que apresentou a menor produção de sedimentos e o menor potencial erosivo. Já a análise conjunta dos cenários C2 e C3 demonstrou que a conversão de área de floresta para uso alternativo não aumentou a produção de sedimentos.

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Sediment delivery modeling in practice: Comparing the effects of watershed characteristics and data resolution across hydroclimatic regions

Cited by 87 publications

References 25 publications

Modelling of Soil Erosion and Accumulation in an Agricultural Landscape—A Comparison of Selected Approaches Applied at the Small Stream Basin Level in the Czech Republic

Modelling of Soil Erosion and Accumulation in an Agricultural Landscape—A Comparison of Selected Approaches Applied at the Small Stream Basin Level in the Czech Republic

A guide to modelling priorities for managing land‐based impacts on coastal ecosystems

Avaliação De Diferentes Cenários Na Produção De Sedimentos Em Uma Microbacia Hidrográfica Amazônica

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