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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60460709:41330/17:70965

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40101 - Agriculture

Projekt

<a href="/cs/project/QJ1520028" target="_blank" >QJ1520028: Kvantifikace a modelování posunu půdních částic zpracováním půdy a výmolnou erozí v rámci hodnocení celkové ztráty půdy na intenzivně zemědělsky využívaných pozemcích.</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Soil and Water Research

ISSN

1801-5395

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

69-77

Kód UT WoS článku

000399433900001

EID výsledku v databázi Scopus

—