Spatio-temporal variability of erosivity in Mato Grosso, Brazil

Raimo, Luis Di Loreto Di Augusto; Amorim, Ricardo Santos Silva; Couto, Eduardo Guimarães; Nóbrega, Rodolfo; Torres, Gilmar Nunes; Bocuti, Edwaldo Dias; Almeida, Cristiana O. S; Rodrigues, Rafael Vinicius

doi:10.4136/ambi-agua.2276

Cited by 7 publications

(10 citation statements)

References 29 publications

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“…Os índices de erosividade, R, encontrados nas bacias hidrográficas dos córregos Macacão e Mutum (Figura 2), foram considerados muito alto, segundo José e Cristiano (2018), Raimo et al (2018), com valores máximos e mínimos situados entre 12,188 a 12,319 t/ha MJ -1 mm -1 . Resultado semelhante foi encontrado por Chaves (2012) no Projeto Produtor de Água no alto e médio curso da bacia hidrográfica do Ribeirão Taquaruçu Grande.…”

Section: Resultsunclassified

Perda de Solo no Alto Curso das Bacias Hidrográficas dos Ribeirões Taquaruçu Grande e Taquaruçuzinho, Palmas (TO)

Pereira¹,

Cabral²

2021

Rev. Bras. Geog. Fis.

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A aplicação de modelos matemáticos na análise da perda de solo em bacias hidrográficas ganhou atenção, nos anos de 1960 e 1970, a partir da análise integrada da paisagem. Nesse contexto, a Equação Universal de Perda de Solo (EUPS) se destaca como um dos modelos mais utilizados mundialmente no conhecimento dos processos erosivos e no planejamento ambiental. Diante disso, este estudo tem por objetivo estimar as perdas de solos nas bacias hidrográficas dos córregos Macacão e Mutum, localizadas no município de Palmas (TO). Os resultados demonstram que as áreas estudadas sofreram com um alto poder de erosividade (R) ao longo dos anos 1995 a 2019, com valores entre 12,188 a 12,319 t/ha MJ-1 mm-1. Quanto ao solo, o Neossolo Litólico Distrófico (RLD) apresenta o maior valor de erodibilidade (K), 0,049 t/ha MJ-1 mm-1.No que tange ao fator topográfico (LS), cerca de 80% das áreas das bacias mostram valores de LS considerados baixos, situados entre 0,029 a 1,86, e 1,86 a 4,30. Já para o fator relacionado ao uso e manejo do solo e às práticas conservacionistas (CP), as áreas mais suscetíveis ao processo erosional diz respeito às classes de pastagem e queimadas. Desta forma, observa-se que as classes de erosão hídrica nas bacias são consideradas moderada, grave e muito grave pelo estudo da Food and Agriculture Organization (FAO) de 1984, ainda que represente somente 19% da área da bacia do Macacão e 24% da bacia do Córrego Mutum. Loss of soil in the high course of hydrographic basins of ribeirões Taquaruçu Grande and Taquaruçuzinho, Palmas (TO) A B S T R A C TThe application of mathematical models in the analysis of soil loss in watersheds gained attention in the 1960s and 1970s from the integrated analysis of the landscape. In this context, the Universal Soil Loss Equation (EUPS) stood out as one of the most used models worldwide in the knowledge of erosion processes and in environmental planning. Therefore, this study aims to estimate soil losses in the hydrographic basins of the Macacão and Mutum streams, located in the municipality of Palmas (TO). The results demonstrate that the studied areas suffered from a high power of erosivity (R) over the years 1995 to 2019, with values between 12.188 to 12.319 t/ha MJ-1 mm-1. As for the soil, the Neosol Litolic Dystrophic (RLD) has the highest erodibility value (K), 0.049 t/ha MJ-1 mm-1. Regarding the topographic factor (LS), about 80% of the basin areas show LS values considered low, situated between 0.029 to 1.86, and 1.86 to 4.30. As for the factor related to the use and management of soil and conservation practices (CP), the areas most susceptible to the erosion process concern the grazing and burning classes. Thus, it is observed that the classes of water erosion in the basins are considered moderate, severe and very severe by the Food and Agriculture Organization (FAO) study of 1984, although it represents only 19% of the area of the Macacão basin and 24% of the Mutum Stream basin.Keywords: Water erosion. Hydrographic basin. USLE.

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Section: Resultsunclassified

Perda de Solo no Alto Curso das Bacias Hidrográficas dos Ribeirões Taquaruçu Grande e Taquaruçuzinho, Palmas (TO)

Pereira¹,

Cabral²

2021

Rev. Bras. Geog. Fis.

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“…This is in accordance with the results of Oğuz (2019) 2009) may be due to an embedded underestimation of the kinetic energy due to RUSLE methodology. Although there was still no test of the effectiveness of the modified Fournier index -until this study-, the MF method has been used for Brazilian conditions as a rainfall erosivity estimator in several parts of the country, as the states of Santa Catarina (Back et al, 2018), Espírito Santo (Moreira et al, 2020), Tocantins (Avanzi et al, 2019), Mato Grosso (Di Raimo et al, 2018), São Paulo (Lombardi Neto, 1977, and Amazonas (Silva et al, 2020), along with large areas for regional studies (Mello et al, 2013(Mello et al, , 2015Oliveira et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Rainfall erosivity mapping for Africa utilizing Tropical Rainfall Measurement Mission (TRMM), based on TMPA 3B43 satellite data (precipitation data) coupled with the modified Fournier index, proved to be a reliable methodology (Vrieling et al, 2010). Although regions use available databases and automated data collection systems -automatic rain gauges, and real-time data transfer-provide reliable hourly or daily rainfall records, even some with 5-, 10-, or 15-minute resolution (Angulo-Martínez and Beguería, 2009;Porto, 2016;Diodato et al, 2017;Todisco et al, 2019;Yue et al, 2020), this is not the case for less technologically advanced countries (Waltrick et al, 2015;Di Raimo et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Rainfall erosivity estimation: Comparison and statistical assessment among methods using data from Southeastern Brazil

Cardoso¹,

Avanzi²,

Ferreira³

et al. 2022

Revista Brasileira De Ciência Do Solo

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Rainfall erosivity (R factor) is one of the six factors of the Universal Soil Loss Equation, being calculated based on the product of rainfall kinetic energy multiplied by its 30-minute maximum intensity. However, the lack of detailed and reliable rainfall data in many parts of the world has driven the use of other methods to estimate rainfall erosivity based on daily, monthly or annual data. These methods still need to be assessed to determine if their estimates are consistent with the standard method for calculating rainfall erosivity. This study aimed to select a consistent method for such replacement in Brazilian conditions without access the rainfall intensity data. The tested methods included: modified Fournier, MF; modified Fournier by Zhang, MF-Z; modified Fournier by Men, MF-M; Rainfall Disaggregation, RD; TRMM Satellite with modified Fournier coefficient, TRMM-F; and TRMM Satellite with monthly rainfall, TRMM-M. The rainfall data were obtained from the USP Meteorological Station, referring to the period from 2009 to 2015. The analyses were performed according to the Additive Main effects and Multiplicative Interaction (AMMI) model and Scott-Knott statistical tests. Considering the 1:1 line, all methods had a good adjustment, presenting similar behavior in relation to the standard method. The methods behaved differently for monthly and annual periods. The MF method proved to be capable of consistently replacing the standard method in all aforementioned situations. Considering the driest period, any method can be used. For annual rainfall erosivity estimation, the RD, MF, TRMM-F and TRMM-M methods can be applied; highlighting that the TRMM-based methods are optimal for locations without on-site rain gauges. Additionally, it was computed that the modified Fournier by Men and the modified Fournier by Zhang underestimated and overestimated the rainfall erosivity, respectively.

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“…The selection criteria for the best estimate of R for each of the 158 pluviometric stations was adapted from the methodology described in Oliveira et al (2012a), accounting for the distance between stations and the correlation between their rainfall characteristics. Data interpolation was performed using geostatistical methods, following the principles of spatial dependence (Di Raimo et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Natural erosion potential in the Mato Grosso state, Brazil

Raimo

Amorim

Couto

et al. 2022

Rev. bras. eng. agríc. ambient.

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Understanding the susceptibility of soils to erosion is crucial for planning land use towards sustainable agriculture. This study aimed to determine the spatial variability of natural erosion potential for the state of Mato Grosso, an important agricultural center of Brazil. Natural erosion potential was calculated using the Universal Soil Loss Equation, which accounts for erosivity, erodibility, and the topographic factor. For each of these three factors, a map was generated in raster format that was combined into a Geographic Information System and used to create a map of natural erosion potential. This map was then used to separate classes of natural erosion potential for the state of Mato Grosso. The state predominantly has medium levels of natural erosion potential (58.38% in area), followed by high (21.67%) and low (19.57%) levels. Areas of low natural erosion potential are predominantly located in the flatter sections of the state. The topographic factor was strongly correlated with natural erosion potential. It is an important component to support land use planning and soil conservation practices. Regions considered to have high natural erosion potential are most commonly in the northwest (46.69% in area), north (32.7%), and west (30.05%) macro-regions.

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Spatio-temporal variability of erosivity in Mato Grosso, Brazil

Cited by 7 publications

References 29 publications

Perda de Solo no Alto Curso das Bacias Hidrográficas dos Ribeirões Taquaruçu Grande e Taquaruçuzinho, Palmas (TO)

Perda de Solo no Alto Curso das Bacias Hidrográficas dos Ribeirões Taquaruçu Grande e Taquaruçuzinho, Palmas (TO)

Rainfall erosivity estimation: Comparison and statistical assessment among methods using data from Southeastern Brazil

Natural erosion potential in the Mato Grosso state, Brazil

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