Spatial and temporal variations in erodibility of loess soil

Rejman, J.; Turski, R.; Paluszek, J.

doi:10.1016/s0167-1987(98)80108-6

Cited by 36 publications

(27 citation statements)

References 5 publications

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“…In Hungary the calculation of RFactor was also formulated (Wischmeier and Smith, 1978) and average values were found to be from 40 to 50 MJ ha -1 cm h -1 (Roksandic, 2011). For Poland, the same average R-Factor of 60.6 MJ ha -1 cm h -1 was determined by Rejman et al (1998) as well as by Wischmeier and Smith (1978). In Belgium, Salles et al (2002Salles et al ( , 1999 found an average annual R-Factor value of 87.1 MJ ha -1 cm h -1 , continued in the calculations Verstraeten et al (2006).…”

Section: Introductionsupporting

confidence: 56%

Values of rainfall erosivity factor for the Czech Republic

Janeček¹,

Květoň²,

Kubátová³

et al. 2013

Journal of Hydrology and Hydromechanics

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Abstract:The processing of ombrographic data from 29 meteorological stations of the Czech Hydrometeorological Institute (CHMI), according to the terms of the Universal Soil Loss Equation for calculating long term loss of soil through water erosion, erosion hazard rains and their occurrence have been selected, with their relative amount and erosiveness -R-Factors determined for each month and years. By comparing the value of the time division of the R-Factor in the area of the Czech Republic and in selected areas of the USA it has been demonstrated that this division may be applied in the conditions of the Czech Republic. For the Czech Republic it is recommended to use the average value R = 40 based on the original evaluation.

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Section: Introductionsupporting

confidence: 56%

Values of rainfall erosivity factor for the Czech Republic

Janeček¹,

Květoň²,

Kubátová³

et al. 2013

Journal of Hydrology and Hydromechanics

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“…This problem, occuring on lowland areas, was investigated by many authors [Rejman et al 1998, Williams et al 1984, Stach 1998]. However, such investigations on areas of mountainous basins were carried out on a small scale.…”

Section: Introductionmentioning

confidence: 99%

Spatial Variabilty of Chosen Soil Properties on Mountainous Area on Example of Kasińczanka Stream Basin, Western Carpathians

Kruk¹,

Ryczek²,

Klatka³

et al. 2018

J. Ecol. Eng.

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The phenomenon of erosion on mountain and submontane areas influences directly on high variability of soil properties. In the work there were presented results of analysis of spatial variability of bulk density, total porosity, organic matter content and saturated hydraulic conductivity, on eroded slopes of the Kasińczanka stream basin. Geostatistical analysis was carried out using the kriging method, based on irregular network, consisted of 52 points, situated by means of the GPS. Taking into account the calculated variability coefficient it was stated, that on the investigated area, the most flexible spatially was saturated hydraulic conductivity, while the less flexible turned out total porosity. Using the determined models of semivariance, the maps of spatial variability of chosen parameters were drafted. It was stated that high value of variance influenced on higher smoothing of spatial distribution in interpolation. Results of geostatistical analysis will allow to find locations for new measuring points, what has substantial significance in mountain areas, for precision analysis of soil properties. Based on the obtained results, it can be stated that the kriging method may be useful tool for determination spatial variability analysis of soil properties on an areas of mountain basins.

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“…Bajracharya and Lal (1992) concluded that there was little correlation between the change in soil erodibility and rainfall erosivity. Rejman et al (1998) investigated the temporal and spatial change in soil erodibility for the loessial region in southeast Poland, and found that there was close correlation between the soil erodibility and the soil moisture content. Wall et al (1988) pointed out that there was close correlation between the seasonal change of soil erodibility and soil properties.…”

Section: Introductionmentioning

confidence: 99%

Soil erodibility and its estimation for agricultural soils in China

Zhang¹,

Shu²,

Xu³

et al. 2008

Journal of Arid Environments

211

112

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Soil erodibility (the K factor in the Universal Soil Loss Equation, USLE) is an important index to measure soil susceptibility to water erosion, and an essential parameter needed for soil erosion prediction. To evaluate the appropriateness of the nomograph and other methods for estimating the K factor for the USLE and to develop a relationship for soil erodibility estimation for Chinese soils, a set of soil erodibility values was calculated using soil loss data from natural runoff plots at 13 sites in eastern China. The definition of soil erodibility in relation to the USLE was strictly followed. Comparing these measured values to those estimated using the nomograph method, the method adopted for the EPIC model and the formula of Shirazi and Boersma, we found that all these estimated soil erodibility values were considerably higher than the measured soil erodibility for these sites in eastern China. Soil erodibility for these Chinese sites is typically in the range from 0.007 to 0.02 t h (MJ mm)À1 and consistently lower in comparison to the measured K values from the USLE database for the conterminous United States. Strong linear relationship between the estimated and measured K values were used to develop empirical formulas for soil erodibility estimation from soil survey data for sites in eastern China. r

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Spatial and temporal variations in erodibility of loess soil

Cited by 36 publications

References 5 publications

Values of rainfall erosivity factor for the Czech Republic

Values of rainfall erosivity factor for the Czech Republic

Spatial Variabilty of Chosen Soil Properties on Mountainous Area on Example of Kasińczanka Stream Basin, Western Carpathians

Soil erodibility and its estimation for agricultural soils in China

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