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Wyświetlanie 1-3 z 3
Tytuł:
Use of Chosen Methods for Determination of the USLE Soil Erodibility Factor on the Example of Loess Slope
Autorzy:
Kruk, Edyta
Powiązania:
https://bibliotekanauki.pl/articles/1839571.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
soil erodibility factor
model USLE
Opis:
The investigations were carried out on a loess slope in the Brzeźnica village, in the Rudnik commune. Nine points were chosen, in which particular parameters being parts of the examined models, were determined. On the basis of the literature, eight models for the Universal Soil Loss Equation (USLE) erodibility factor determination were designated. The chosen models were the ones proposed by: Wishmeier, Monchareonm, Torii et al. and Walker (all based on texture and organic matter content, Wischmeier and Smith (based on texture organic matter content and additionally on aggregate classes), Wiliams et al. (based on texture and organic carbon content), Renard et al. as well as Stone and Hilborn (both based only on texture). The investigated site was characterized as well. The statistical conclusions were drawn and the obtained results were compared with the results presented in the literature.
Źródło:
Journal of Ecological Engineering; 2021, 22, 1; 151-161
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of the Methods for LS Factor Calculation when Evaluating the Erosion Risk in a Small Agricultural Area Using the USLE Tool
Autorzy:
Karásek, Petr
Pochop, Michal
Konečná, Jana
Podhrázská, Jana
Powiązania:
https://bibliotekanauki.pl/articles/2025427.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
water erosion
land use
GIS
LS factor
USLE
anti-erosion measure
Opis:
In the projects of anti-erosion protection in the Czech Republic, USLE was used as a standard tool for evaluating the risk of water erosion. The precision of the resulting USLE values is defined by the quality of input data and algorithms used. Two methods for LS factor calculation are recommended for use in the planning practice in the Czech Republic: the computing method based on the USLE 2D software and the other computing methods. Various methods can assess the LS factor; however, their results differ. On the example of the Starovice – Hustopeče study area (Czech Republic), strongly threatened by erosion, this report aimed to show the differences brought using these differing methods of LS factor assessment, all in two variants before and after application of antierosion measures (retention grass belts, grassed thalweg). Changes in the calculation of the LS factor were directly reflected in the calculation of the long-term average soil loss by water erosion.
Źródło:
Journal of Ecological Engineering; 2022, 23, 1; 100-109
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of Rainfall-Runoff Erosivity Factor for Cameron Highlands, Pahang, Malaysia
Autorzy:
Abdulkadir, T. S.
Mustafa, M. R.
Yusof, K. W.
Hashim, A. M.
Powiązania:
https://bibliotekanauki.pl/articles/123050.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
rainfall
erosivity factor
soil erosion
USLE/RUSLE
runoff
Opis:
Rainfall-runoff is the active agent of soil erosion which often resulted in land degradation and water quality deterioration. Its aggressiveness to induce erosion is usually termed as rainfall erosivity index or factor (R). R-factor is one of the factors to be parameterized in the evaluation of soil loss using the Universal Soil Loss Equation and its reversed versions (USLE/RUSLE). The computation of accurate R-factor for a particular watershed requires high temporal resolution rainfall (pluviograph) data with less than 30-minutes intensities for at least 20 yrs, which is available only in a few regions of the world. As a result, various simplified models have been proposed by researchers to evaluate R-factor using readily available daily, monthly or annual precipitation data. This study is thus aimed at estimating R-factor and to establish an approximate relationship between R-factor and rainfall for subsequent usage in the estimation of soil loss in Cameron highlands watershed. The results of the analysis showed that the least and peak (critical) R-factors occurred in the months of January and April with 660.82 and 2399.18 MJ mm ha-1 h-1year-1 respectively. Also, it was observed that erosivity power starts to increase from the month of January through April before started falling in the month of July. The monthly and annual peaks (critical periods) may be attributed to increased rainfall amount due to climate change which in turn resulted to increased aggressiveness of rains to cause erosion in the study area. The correlation coefficient of 0.985 showed that there was a strong relationship rainfall and R-factor.
Źródło:
Journal of Ecological Engineering; 2016, 17, 3; 1-8
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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