Water erosion in surface soil conditions: runoff velocity, concentration and D50 index of sediments in runoff

Ramos, Júlio César; Bertol, Ildegardis; Barbosa, Fabrício Tondello; Bertól, Camilo; Mafra, Álvaro Luiz; Miquelluti, David José; Júnior, José Mecabô

doi:10.1590/0103-9016-2015-0110

Cited by 14 publications

(19 citation statements)

References 20 publications

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“…However, in T3, there was a decrease until the fifth rainfall, followed by an increase in roughness in the sixth rainfall. This behavior can probably be explained by the formation of surface grooves and/or by the transport of finer particles in the runoff as visually verified in the plots and in the line, which was also reported by Bertol et al (2006) and Ramos et al (2016). The mean value of the R3 index was 10.607 mm (Table 1).…”

Section: Resultssupporting

confidence: 71%

“…According to Ramos (2015) and Ramos et al (2016), the impact of droplets on the surface of the soil, especially when uncovered, decreases its roughness over time. The decrease in the roughness of uncovered and uncultivated soil may also be explained by the decrease in organic matter content and in the resistance of aggregates to water action (Bertol et al, 2006).…”

Section: Resultsmentioning

confidence: 99%

“…Zoldan Junior et al (2008) and Zhao et al (2014) observed an exponential decrease in soil surface roughness, particularly in the initial rainfall tests. According to Ramos et al (2016), the fast reduction Table 1. Statistical summary of the roughness statistics (R1, R2, and R3), limiting difference (LD), limiting slope (LS), fractal dimension (D), and intersection distance (l) indexes, considering all treatments and the application of simulated rainfall (1) .…”

Section: Resultsmentioning

confidence: 99%

“…The primary data of surface roughness and soil and water losses used in the present study were originated from a study conducted by Júlio César Ramos in the municipality of Lages, in the state of Santa Catarina, Brazil (27º47'S, 50º18'W, at 908 m of altitude) (Ramos, 2015;Ramos et al, 2016). The climate of the region, according to Köppen's classification, is of the Cfb type, and the annual average rainfall, according to Schick et al (2014), is of 1,533 mm.…”

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Soil roughness indexes and their relationship with water erosion

Zangiski

Miquelluti

Bertol

et al. 2018

Pesq. agropec. bras.

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The objective of this work was to express soil roughness through statistical, geostatistical, and fractal indexes, comparing and relating them to soil and water losses in different experimental conditions. The study was conducted from 2012 to 2015, in the municipality of Lages, in the state of Santa Catarina, Brazil, in a completely randomized design with two replicates. Three treatments were evaluated: T1, scarified soil at the end of the ryegrass (Lolium multiflorum) crop cycle after removal of the shoot residue; T2, scarified soil at the end of the vetch (Vicia sativa) crop cycle after removal of the shoot residue; and T3, scarified soil without cultivation and without cover. The heights of the microrelief were read with a surface roughness tester with rods. Soil roughness was analyzed through the statistical, geostatistical, and fractal indexes. The fractal dimension and intersection distance showed a clear difference between the treatments with cultivation. All indexes, except R1, are associated with soil losses in the treatments with cultivation. As for water losses, there is only an association with the fractal dimension index and only in the treatment without cultivation.

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Section: Resultssupporting

confidence: 71%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Soil roughness indexes and their relationship with water erosion

Zangiski

Miquelluti

Bertol

et al. 2018

Pesq. agropec. bras.

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“…The climate is Cfb type according to the Köppen classification, with an average annual rainfall of 1,533 mm (Schick et al, 2014). The soil is an Inceptisol (Ramos et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

Path coefficient analysis, a different approach to identify soil quality indicators

Ramos

Bertol

Bandeira

et al. 2019

Rev. bras. eng. agríc. ambient.

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Soil quality indicators related to water erosion reduction can assist with correct soil management. The objective of this research was to identify some variables that could be used as soil quality indicators with the aid of path coefficient analysis in order to reduce water erosion. The research was carried out in the field between May 2011 and April 2013 in southern Brazil on an Inceptisol. The following treatments were studied under simulated rainfall conditions: 1) no-tilled, cultivated and covered by cultural residue of ryegrass (Lolium multiflorum) (HCR); 2) no-tilled, cultivated and covered by crop residue of vetch (Vicia sativa) (HCV); 3) cultivated and scarified soil containing ryegrass roots (HRR); 4) cultivated and scarified soil containing vetch roots (HRV); and 5) bare and chiselled soil (BHR). Eight simulated rainfalls were applied in each treatment. Flow velocity, soil and water losses as well as variables or soil attributes influenced by management were quantified. Path coefficient analysis verified that the coverage, surface roughness, water infiltration rate and total organic carbon have the greatest direct or indirect relationships with soil and water losses or runoff velocity. These variables were indicative of soil quality, particularly its resistance to water erosion. In a rough soil, the total organic carbon, root mass and macroporosity of the soil are more important as indicators for soil resistance to water erosion.

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Runoff, erosion, and nutrient transport arising from furrow irrigation in a corn conservation production system

Spencer

Krutz

Locke

et al. 2022

Agrosystems Geosci & Env

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Contemporary row‐crop practices in the mid‐southern United States contribute to declining water tables and impairment of downstream waters, threatening the sustainability of irrigated agriculture and vital ecosystem services. This research was conducted to determine whether agro‐hydrology can be altered by cover crop or traffic pattern. The effects of cover crop {Austrian winter pea [Pisum sativum var. arvense (L.) Poiret], crimson clover [Trifolium incarnatum L.], cereal rye [Secale cereal L.], and tillage radish [Raphanus sativus L.]} and traffic pattern (traffic, nontraffic) on runoff, erosion, and nutrient transport from a furrow irrigation event were investigated at Stoneville, MS on a Commerce very fine sandy loam (a fine‐silty, mixed, superactive, nonacid, thermic Fluvaquentic Endoaquept). Relative to winter fallow, the inclusion of a cover crop reduced erosion by at least 16% but had no effect on runoff or the transport of total P, total Kjeldahl nitrogen (TKN), soluble reactive phosphate (SRP), NH4–N, or NO3–N. Eliminating traffic in furrows reduced runoff, erosion, and SRP transport up to 13%. Traffic pattern had no effect on the transport of total P, TKN, NH4–N, or NO3–N. Regardless of treatment, total N loss never exceeded 0.2% of N applied as inorganic fertilizer. This research demonstrates that cover crop and equipment traffic pattern can be manipulated in reduced tillage systems to improve the sustainability of irrigated agriculture and ecosystem services in the mid‐southern United States.

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Water erosion in surface soil conditions: runoff velocity, concentration and D50 index of sediments in runoff

Cited by 14 publications

References 20 publications

Soil roughness indexes and their relationship with water erosion

Soil roughness indexes and their relationship with water erosion

Path coefficient analysis, a different approach to identify soil quality indicators

Runoff, erosion, and nutrient transport arising from furrow irrigation in a corn conservation production system

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