Variabilidade espacial do potencial de erosão das chuvas do Estado de São Paulo

Vieira, Sidney Rosa; Neto, Francisco Lombardi

doi:10.1590/s0006-87051995000200019

Cited by 44 publications

(45 citation statements)

References 5 publications

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“…Thus, the minimum spacing between stations should be 12 km so that the spatial distribution effect of rainfall and erosivity can be detected in semivariogram studies. The average range for the monthly semivariograms was 72.67 km, similar to that found by Vieira and Lombardi Neto (1995) for the state of São Paulo (70 km).…”

Section: Resultssupporting

confidence: 82%

“…Studies of erosivity mapping on a national scale (Silva, 2004;Oliveira et al, 2012;Mello et al, 2013) and for the states of Minas Gerais (Mello et al, 2007;Moreira et al, 2008), with specific details for the south of the state of Minas Gerais (Aquino et al, 2012), and São Paulo (Vieira and Lombardi Neto, 1995;Moreira et al, 2006) showed analysis on a regional scale with low spatial resolution. However, river basins are the basic unit of planning and management of water resources, and the planning and implementation of soil and water conservation practices require a level of spatial detail consistent with their scale .…”

Section: Introductionmentioning

confidence: 99%

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Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin

Pontes

Silva

Bispo

et al. 2017

Rev. Bras. Ciênc. Solo

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ABSTRACT:The Jaguarí River Basin forms the main water supply sources for the São Paulo Metropolitan Region and other cities in the state. Since the kinetic energy of rainfall is the driving force of water erosion, the main cause of land and water degradation, we tested the hypothesis of correlation between the erosive potential of rainfall (erosivity) and geographical coordinates and altitude for the purpose of predicting the spatial and temporal distribution of the rainfall erosivity index (EI 30 ) in the basin. An equation was used to estimate the (EI 30 ) in accordance with the average monthly and total annual rainfall at rainfall stations with data available for the study area. In the regression kriging technique, the deterministic part was modeled using multiple linear regression between the dependent variable (EI 30 ) and environmental predictor variables: latitude, longitude, and altitude. From the result of equations and the maps generated, a direct correlation between erosivity and altitude could be observed. Erosivity has a markedly seasonal behavior in accordance with the rainy season from October to March. ), a region that should be prioritized in soil and water conservation efforts. From this validation, good precision and accuracy of the model was observed for the long period of the annual average, which is the main factor used in soil loss prediction models.

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Section: Resultssupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin

Pontes

Silva

Bispo

et al. 2017

Rev. Bras. Ciênc. Solo

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“…The range is another important parameter of interpretation of semivariograms and spatial variations in general, indicating the limit distance at which a sample point has influence over another point, i.e., the maximum distance up to which sample points are correlated. All points located within a circle with radius equal to the range can be used to estimate values with smaller spacing (Vieira & Lombardi Neto, 1995). Points located at distances beyond the range have no defined spatial dependence but are randomly distributed, behaving independently.…”

Section: Crop Yieldmentioning

confidence: 99%

Spatial and temporal variability of crop yield and some Rhodic Hapludox properties under no-tillage

Filho¹,

Vieira

Chiba

et al. 2010

Rev. Bras. Ciênc. Solo

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SUMMARYSoil properties are closely related with crop production and spite of the measures implemented, spatial variation has been repeatedly observed and described. Identifying and describing spatial variations of soil properties and their effects on crop yield can be a powerful decision-making tool in specific land management systems. The objective of this research was to characterize the spatial and temporal variations in crop yield and chemical and physical properties of a Rhodic Hapludox soil under no-tillage. The studied area of 3.42 ha had been cultivated since 1985 under no-tillage crop rotation in summer and winter. Yield and soil property were sampled in a regular 10 x 10 m grid, with 302 sample points. Yields of several crops were analyzed (soybean, maize, triticale, hyacinth bean and castor bean) as well as soil chemical (pH, Soil Organic Matter (SOM), P, Ca 2+ , Mg 2+ , H + Al, B, Fe, Mn, Zn, CEC, sum of bases (SB), and base saturation (V %)) and soil physical properties (saturated hydraulic conductivity, texture, density, total porosity, and mechanical penetration resistance). Data were analyzed using geostatistical analysis procedures and maps based on interpolation by kriging. Great variation in crop yields was observed in the years evaluated. The yield values in the Northern region of the study area were high in some years. Crop yields and some physical and soil chemical properties were spatially correlated.Index terms: crop yield maps, geostatistics, kriging.(1) Part of the master dissertation of the primary author developed at the IAC Tropical and Sub-tropical Agriculture Graduate Program, Campinas (SP (pH, MOS, P, Ca, Mg, H + Al, B, Fe, Mn, Zn, CTC, SB e V %)

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“…Na Tabela 2 pode-se observar que os valores do alcance obtidos variam de 706,50 a 6.444,00 m, os quais correspondem aos raios das áreas consideradas homogêneas para cada variável estudada. Desta forma, todos os vizinhos situados dentro de um círculo com esses raios, podem ser usados para estimar valores para qualquer ponto entre eles (Vieira & Lombardi Neto, 1995). Observa-se que os atributos que apresentaram menor e maior alcance foram o teor de Ca e o índice de floculação (IF) respectivamente.…”

Section: Resultsunclassified

Variabilidade de atributos do solo sob pastagens e mata atlântica na escala de microbacia hidrográfica

Lima

Silva

Oliveira

et al. 2014

Rev. bras. eng. agríc. ambient.

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R E S U M OO solo é um dos recursos naturais de maior importância cuja heterogeneidade reflete na variabilidade de seus atributos químicos e físicos. Esta heterogeneidade é decorrente do processo de formação natural e do uso e manejo realizados pelo homem. Assim, o objetivo deste estudo foi avaliar a variabilidade espacial dos atributos químicos e físicos do solo e elaborar seus mapas de distribuição espacial na Sub-Bacia das Posses, Extrema. Para isto foram coletadas amostras em 150 pontos nas profundidades de 0-0,20 e determinados os atributos físicos e químicos. As variáveis: Ca, Mg, K, P, pH, matéria orgânica (MO), diâmetro médio geométrico dos agregados (DMG cp ), diâmetro médio ponderado dos agregados (DMP cp ) e índice de floculação (IF). IF apresentaram estrutura de dependência espacial, o que permitiu seu mapeamento a partir de técnicas geoestatísticas. O P, DMG sp e DMP sp apresentaram estrutura com efeito pepita puro, possivelmente decorrente de uma distância insuficiente para captar dependência espacial na amostragem para esses atributos e interferências antrópicas. A variação verificada para o Ca pode ser explicada pela aplicação localizada de calcário, a qual foi realizada em algumas pequenas propriedades localizadas nas subbacias. O DMG p , DMP p , e IF avaliados foram ajustados em conformidade entre si indicando boa agregação do solo. Variability of soil attributes under pasturing and Atlantic Forest on the watershed basin scale A B S T R A C TSoil is one of the most important natural resource and its heterogeneity reflects the variability of its chemical and physical attributes. Soil heterogeneity occurs due to the natural process of formation and use by men and management. The objectives of this study were to evaluate the spatial variability of physical and chemical soil attributes and map the spatial distribution of these in Posses sub-basin, Extrema, representative of the Atlantic Forest biome present in southern Minas Gerais. For this, samples (0-0.20 m depth) were collected at 150 points, and their physical and chemical attributes were determined. Variables: Ca, Mg, K, P, pH, organic matter (MO), geometric mean diameter of aggregates (DMG cp) , weighted mean diameter of aggregates (DMP cp ) and flocculation index (IF) showed spatial dependence structure, which allowed mapping from geostatistical techniques. P, DMG sp and DMP sp presented structure with nugget effect, possibly due to an insufficient distance to capture spatial dependence in the sample for these attributes, and human interferences. The variation for Ca can be explained due to lime application, which occurred in some small properties located in the sub-basin. The DMG cp , DMP cp , and IF evaluated were adjusted in line with each other, indicating good soil aggregation. ISSN 1807 -1929 v.18, n.5, p.517-526, 2014 Introdução O Brasil é um país rico em recursos naturais distribuídos em seus diversos biomas. A Mata Atlântica é considerada, atualmente, seu bioma mais importante em razão do seu estado crítico -nela se concent...

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Variabilidade espacial do potencial de erosão das chuvas do Estado de São Paulo

Cited by 44 publications

References 5 publications

Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin

Spatial Distribution of Annual and Monthly Rainfall Erosivity in the Jaguarí River Basin

Spatial and temporal variability of crop yield and some Rhodic Hapludox properties under no-tillage

Variabilidade de atributos do solo sob pastagens e mata atlântica na escala de microbacia hidrográfica

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