Modeling soil erosion using RUSLE and GIS at watershed level in the upper beles, Ethiopia

Kebede, Yadeta S.; Endalamaw, Nega Tamene; Sinshaw, Berhanu G.; Atinkut, Haimanot B.

doi:10.1016/j.envc.2020.100009

Cited by 99 publications

(46 citation statements)

References 20 publications

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“…This consideration is in close accordance with [56,84], who suggested that estimations of C-factors for burned areas should be determined for each context and fire type, although previous works reported several indicative values [30,91]. Therefore, the estimation of the site-specific C-factors using locally measured data, as was the aim of our study, increases the erosion prediction accuracy of USLE-family models [92].…”

Section: Usle-m Modelsupporting

confidence: 88%

Modelling the Event-Based Hydrological Response of Mediterranean Forests to Prescribed Fire and Soil Mulching with Fern Using the Curve Number, Horton and USLE-Family (Universal Soil Loss Equation) Models

Carrà

Bombino

Lucas‐Borja

et al. 2021

Land

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The SCS-CN, Horton, and USLE-family models are widely used to predict and control runoff and erosion in forest ecosystems. However, in the literature there is no evidence of their use in Mediterranean forests subjected to prescribed fire and soil mulching. To fill this gap, this study evaluates the prediction capability for runoff and soil loss of the SCS-CN, Horton, MUSLE, and USLE-M models in three forests (pine, chestnut, and oak) in Southern Italy. The investigation was carried out at plot and event scales throughout one year, after a prescribed fire and post-fire soil mulching with fern. The SCS-CN and USLE-M models were accurate in predicting runoff volume and soil loss, respectively. In contrast, poor predictions of the modelled hydrological variables were provided by the models in unburned plots, and by the Horton and MUSLE models for all soil conditions. This inaccuracy may have been due to the fact that the runoff and erosion generation mechanisms were saturation-excess and rainsplash, while the Horton and MUSLE models better simulate infiltration-excess and overland flow processes, respectively. For the SCS-CN and USLE-M models, calibration was needed to obtain accurate predictions of surface runoff and soil loss; furthermore, different CNs and C factors must be input throughout the year to simulate the variability of the hydrological response of soil after fire. After calibration, two sets of CNs and C-factor values were suggested for applications of the SCS-CN and USLE-M models, after prescribed fire and fern mulching in Mediterranean forests. Once validated in a wider range of environmental contexts, these models may support land managers in controlling the hydrology of Mediterranean forests that are prone to wildfire risks.

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Section: Usle-m Modelsupporting

confidence: 88%

Modelling the Event-Based Hydrological Response of Mediterranean Forests to Prescribed Fire and Soil Mulching with Fern Using the Curve Number, Horton and USLE-Family (Universal Soil Loss Equation) Models

Carrà

Bombino

Lucas‐Borja

et al. 2021

Land

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“…Para el procesamiento de estos datos se pueden usar las redes neuronales, los árboles de decisión o los árboles altamente aleatorizados. (De León Mata, et al, 2014, Llamas, et al, 2013 Estos métodos combinados con técnicas como los sistemas de información geográfica pueden hacer clasificación de características similares para suelos con variables como la altitud, la latitud, la cobertura, la pendiente o la curvatura del terreno que junto con datos tomados de campo pueden inferir otras características físicas y químicas (Minasny y Hartemink 2011, Jalmacín, et al, 2017, Kebede, et al, 2021.…”

Section: Discussionunclassified

Métodos de análisis estadístico con datos dispersos

Bautista

2020

Ingeniería y Región

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En este artículo se presentan las principales características de algunas metodologías para derivar modelos de predicción o clasificación cuando se tienen muchos datos. Dentro de estos se describen las redes neuronales, bosques aleatorios, árboles de decisión, árboles altamente aleatorizados (extra trees) y método de regresión asistida por patrón de contraste (CPXR). Técnicas que han sido utilizadas para derivar modelos de predicción de retención de agua, clasificación de imágenes, clasificación de suelos, determinación de las principales variables que intervienen en un proceso.

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“…Por fim, a implementação de medidas de adaptação e mitigação buscando evitar as consequências das mudanças climáticas é essencial para melhorar a produção agrícola e a preservação do solo (Parajuli et al, 2016;Kebede et al, 2021). Os agricultores precisam estar cientes das alterações climáticas futuras para que realizem medidas preventivas.…”

Section: Methodsunclassified

Panorama das Alterações nos Padrões de Precipitação e Erosão diante de Mudanças Climáticas: Revisão de Literatura

Kiefer

Costa

Petsch

et al. 2021

Rev. Bras. Geog. Fis.

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Os efeitos das mudanças climáticas na erosividade possivelmente afetarão os processos erosivos no século 21, tornando emergente a discussão dessa temática. Sendo assim, os objetivos desta revisão de literatura são: traçar as relações entre a variação de perda de solos e erosividade diante de mudanças climáticas, apresentando produtos cartográficos das décadas passadas e para todo o século 21; apresentar um panorama geral de pesquisas (publicadas entre 2016-2020); e demonstrar quais são os desafios e próximos passos na pesquisa sobre esta temática. Para tanto, a pesquisa de artigos foi realizada nas plataformas do Portal de Periódicos da CAPES, Google Scholar e Science Direct, totalizando 33 artigos. Foram consideradas pesquisas de natureza conceitual, com revisões de literatura sobre os temas e de natureza procedimental com cálculos do fator R e estimativas de perda de solos. Os trabalhos consultados mostram que a erosividade estimada e a taxa de perda de solos devem aumentar e diminuir em função das futuras mudanças climáticas. Embora, em escala global, haja estimativas do aumento de erosividade para a área tropical do planeta, atingindo majoritariamente países em desenvolvimento como o Brasil. Isso demonstra a emergência da elaboração de estudos para o país, em escala regional, de bioma e de bacias hidrográficas. Nesse sentido, ressaltamos a importância da abordagem sistêmica, que pode ser proporcionada pela Geografia nos estudos desta temática, visto que os desafios se relacionam a dificuldade de integrar diversos fatores ambientais e obter dados de campo nas modelagens preditivas de perda de solo. Overview of Changes in Rainfall and Erosion Patterns in the Face of Climate Change: Literature Review A B S T R A C TThe effects of climate change on erosivity are likely to affect erosion processes in the 21st century, which makes the discussion emerging. Thus, the goals of this literature review are: to trace the relationship between the variation in soil loss and erosivity in the face of climate change, presenting cartographic products from the past decades and for the entire 21st century; present an overview of research (published between 2016-2021); demonstrate challenges and next steps in research on this topic. Therefore, the search for papers was carried out on the platforms of the CAPES Journal Portal, Google Scholar and Science Direct, totaling 78 papers. Conceptual researches was considered, with literature reviews on the themes and procedural researches with calculations of the R factor and soil loss estimate. The consulted papers show that the estimated erosivity and the rate of soil loss are expected to increase and decrease as a result of future climate changes. Although, on a global scale, there are estimates of the increase in erosivity for the tropical area of the planet, mainly affecting developing countries like Brazil. This demonstrates the emergence of studies for the country, on a regional scale, of biomes and hydrographic basins. In this sense, we emphasize the importance of the systemic approach, which can be provided by Geography in the studies of this theme, since the challenges are related to the difficulty of integrating various environmental factors and obtaining field data in predictive models of soil loss.Keywords: erosivity, extreme precipitation events, global climate models

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Modeling soil erosion using RUSLE and GIS at watershed level in the upper beles, Ethiopia

Cited by 99 publications

References 20 publications

Modelling the Event-Based Hydrological Response of Mediterranean Forests to Prescribed Fire and Soil Mulching with Fern Using the Curve Number, Horton and USLE-Family (Universal Soil Loss Equation) Models

Modelling the Event-Based Hydrological Response of Mediterranean Forests to Prescribed Fire and Soil Mulching with Fern Using the Curve Number, Horton and USLE-Family (Universal Soil Loss Equation) Models

Métodos de análisis estadístico con datos dispersos

Panorama das Alterações nos Padrões de Precipitação e Erosão diante de Mudanças Climáticas: Revisão de Literatura

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