Comparison of Different Approaches to LS Factor Calculations Based on a Measured Soil Loss under Simulated Rainfall

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027049%3A_____%2F17%3AN0000086" target="_blank" >RIV/00027049:_____/17:N0000086 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41330/17:70965

Result on the web

<a href="http://www.agriculturejournals.cz/publicFiles/211846.pdf" target="_blank" >http://www.agriculturejournals.cz/publicFiles/211846.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17221/222/2015-SWR" target="_blank" >10.17221/222/2015-SWR</a>

Result language

angličtina

Original language name

Comparison of Different Approaches to LS Factor Calculations Based on a Measured Soil Loss under Simulated Rainfall

Original language description

Geographic Information Systems (GIS) in combination with soil loss models can enhance evaluation of soil erosion estimation. SAGA and ARC/INFO geographic information systems were used to estimate the topographic (LS) factor of the Universal Soil Loss Equation (USLE) that in turn was used to calculate the soil erosion on a long-term experimental plot near Prague in the Czech Republic. To determine the influence of a chosen algorithm on the soil erosion estimates a digital elevation model with high accuracy (1 x 1 m) and a measured soil loss under simulated rainfall were used. These then provided input for five GIS-based and two manual procedures of computing the combined slope length and steepness factor in the (R) USLE. The results of GIS-based (R) USLE erosion estimates from the seven procedures were compared to the measured soil loss from the 11 m long experimental plot and from 38 rainfall simulations performed here during 15 years. The results indicate that the GIS-based (R) USLE soil loss estimates from five different approaches to calculation of LS factor are lower than the measured average annual soil loss. The two remaining approaches over-predicted the measured soil loss. The best method for LS factor estimation on field scale is the original manual method of the USLE, which predicted the average soil loss with 6% difference from the measured soil loss. The second method is the GIS-based method that concluded a difference of 8%. The results of this study show the need for further work in the area of soil erosion estimation (with particular focus on the rill/ interrill ratio) using the GIS and USLE. The study also revealed the need for an application of the same approach to catchment area as it might bring different outcomes.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

40101 - Agriculture

Project

<a href="/en/project/QJ1520028" target="_blank" >QJ1520028: Assessing and modelling of tillage and gully erosion under the framework of total soil loss evaluation on intensively farmed land.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Soil and Water Research

ISSN

1801-5395

e-ISSN

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Volume of the periodical

12

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

9

Pages from-to

69-77

UT code for WoS article

000399433900001

EID of the result in the Scopus database

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