Assessing the climate change impacts on the rainfall erosivity throughout the twenty-first century in the Grande River Basin (GRB) headwaters, Southeastern Brazil

Mello, Carlos Rogério de; Ávila, Léo Fernandes; Viola, Marcelo Ribeiro; Curi, Nilton; Norton, L. D.

doi:10.1007/s12665-015-4033-3

Cited by 29 publications

(11 citation statements)

References 20 publications

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“…RUSLE requires a few parameters, which are spatially distributed, if compared to other more complex models, mainly those process-based, like GeoWEPP (Mello et al 2015). However, their acquisition can result in some level of uncertainty, such as K-factor and CP-factor when considered for large scales.…”

Section: Mapping Of Water Erosion Potential In Prbmentioning

confidence: 99%

Sediment yield in Paraopeba River Basin – MG, Brazil

Durães

Mello

Beskow

2016

International Journal of River Basin Management

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Sediment delivery rate (SDR) is traditionally defined as a fraction of upland gross erosion that is transported through the outlet of a given basin, thus representing an index of the sediment transport efficiency. The objective of this study was to evaluate a model-based approach for SDR determination in the Paraopeba River Basin (PRB), located at the central region of Minas Gerais State, Southeastern Brazil. The empirical model known as RUSLE, which stands for Revised Universal Loss Equation, was used embedded in a geographical information system (GIS) to estimate the soil erosion potential. Based on a monitoring network, considering the period between 1997 and 2008, the sediment transport was determined in five sub-basins of the PRB. The average water erosion for PRB was 2.7 ton ha 21 yr 21 , while the sediment transport varied from 0.25 to 1.63 ton ha 21 yr 21 . Considering the area and the slope as the independent variables, three empirical models were applied for estimating SDR. The results showed adequate fit for the proposed model, resulting in improvements for SDR estimates in PRB. On evaluating only sub-basins, the observed average SDR was 0.38, while the corresponding estimated value was 0.37. It was found that the three traditional equations did not generate acceptable results and this can be explained by the overestimation of SDR values for PRB.

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Section: Mapping Of Water Erosion Potential In Prbmentioning

confidence: 99%

Sediment yield in Paraopeba River Basin – MG, Brazil

Durães

Mello

Beskow

2016

International Journal of River Basin Management

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“… 28 reported that 85% of the analyzed papers were developed using a time series shorter than 20 years; in other words, only 15% of these studies used the minimum series suggested for USLE/RUSLE applications 11 . At the basin scale, climate change and its impacts on rainfall erosivity have already been investigated in many parts of the world, such as Australia 29 , Brazil 30 , China 31 , 32 , England 33 , India 17 , Japan 34 , Thailand 35 and the United States 20 . However, to our knowledge there has not been an investigation of the impacts of projected climate change in rainfall erosivity across Brazil, as has already been done for the United States 1 , 36 and Europe 37 .…”

Section: Introductionmentioning

confidence: 99%

Projected climate change impacts in rainfall erosivity over Brazil

Almagro

Oliveira

Nearing

et al. 2017

Sci Rep

134

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The impacts of climate change on soil erosion may bring serious economic, social and environmental problems. However, few studies have investigated these impacts on continental scales. Here we assessed the influence of climate change on rainfall erosivity across Brazil. We used observed rainfall data and downscaled climate model output based on Hadley Center Global Environment Model version 2 (HadGEM2-ES) and Model for Interdisciplinary Research On Climate version 5 (MIROC5), forced by Representative Concentration Pathway 4.5 and 8.5, to estimate and map rainfall erosivity and its projected changes across Brazil. We estimated mean values of 10,437 mm ha−1 h−1 year−1 for observed data (1980–2013) and 10,089 MJ mm ha−1 h−1 year−1 and 10,585 MJ mm ha−1 h−1 year−1 for HadGEM2-ES and MIROC5, respectively (1961–2005). Our analysis suggests that the most affected regions, with projected rainfall erosivity increases ranging up to 109% in the period 2007–2040, are northeastern and southern Brazil. Future decreases of as much as −71% in the 2071–2099 period were estimated for the southeastern, central and northwestern parts of the country. Our results provide an overview of rainfall erosivity in Brazil that may be useful for planning soil and water conservation, and for promoting water and food security.

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“…As a result, changes in soil coverage, biomass and the hydrological regime in basins tend to occur, affecting the erosion process, as Lee and Lee (2010) and Mello et al (2015) have suggested, possibly causing alterations in the fluvial geomorphology (GUERRERO et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

Durães

Filho

Oliveira

2016

RBRH

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Soil erosion is one of the most striking environmental degradation processes, which its mapping and assessment is an important tool for management activities and natural resource management in river basins, allowing managers to implement policies and sustainable land use occupation. This work aimed to apply the Revised Universal Soil Loss Equation (RUSLE) in a GIS environment in the upper Iguaçu river basin, located at Paraná State, in order to assess the vulnerability to water erosion as well as the concentration of dissolved solids in suspension to estimate the solid discharge and sediment delivery rate, allowing the identification of more susceptible areas to water erosion. The results showed that over 23.52% of the upper Iguaçu river basin presented soil losses below 2.5 t ha -1 yr -1 , meaning current low potential for erosion. Regarding the solid discharge, the basin has values ranging from low to very high, also leading to high values for sediment delivery rate. The identification of risk areas associated with accelerated erosion, carried out in this study provide important information for measures associated with the management, conservation and planning of land use in the basin, which is highly relevant for predicting development of various scenarios for the state Paraná for its hydroelectric potential.Keywords: Soils; Geoprocessing; RUSLE. RESUMOA erosão do solo é um dos processos de degradação ambiental mais impactantes, no qual seu mapeamento e avaliação consiste em uma importante ferramenta para atividades de manejo e gestão dos recursos naturais em bacias hidrográficas, permitindo aos gestores implementar políticas de uso e ocupação do solo de forma sustentável. O presente trabalho teve por objetivo a aplicação da Equação Universal de Perda de Solo Revisada (RUSLE) em ambiente SIG, na Bacia Hidrográfica do Alto Rio Iguaçu (BHARI), localizada no Estado do Paraná / Brasil, afim de avaliar a vulnerabilidade à erosão hídrica bem como a concentração dos sólidos dissolvidos em suspensão para estimar a descarga solida e a taxa de aporte de sedimentos, permitindo identificar áreas mais suscetíveis à erosão hídrica. Os resultados mostraram que mais de 23,52% da BHARI apresentou perdas de solo abaixo de 2,5 t ha -1 ano -1, significando baixo potencial atual de erosão. Em relação a descarga sólida, a bacia apresentou valores variando de baixo a muito alta, levando também a elevados valores para a taxa de aporte de sedimentos. A identificação de áreas de risco associadas à erosão acelerada, realizadas neste estudo, fornecem subsídios importantes para medidas associadas ao manejo, conservação e planejamento do uso do solo nesta bacia, a qual é altamente relevante para predição de desenvolvimento de cenários variados para o Estado do Paraná por seu potencial hidroelétrico. Palavras

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Assessing the climate change impacts on the rainfall erosivity throughout the twenty-first century in the Grande River Basin (GRB) headwaters, Southeastern Brazil

Cited by 29 publications

References 20 publications

Sediment yield in Paraopeba River Basin – MG, Brazil

Sediment yield in Paraopeba River Basin – MG, Brazil

Projected climate change impacts in rainfall erosivity over Brazil

Water erosion vulnerability and sediment delivery rate in upper Iguaçu river basin – Paraná

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