Inherent relationship of the USLE, RUSLE topographic factor algorithms and its impact on soil erosion modelling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A81940" target="_blank" >RIV/60460709:41330/20:81940 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/02626667.2020.1784423" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/02626667.2020.1784423</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/02626667.2020.1784423" target="_blank" >10.1080/02626667.2020.1784423</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Inherent relationship of the USLE, RUSLE topographic factor algorithms and its impact on soil erosion modelling

Popis výsledku v původním jazyce

The accurate representation of the Earth s surface plays a vital role in soil erosion modelling. Topography is parameterized in the Universal Soil Loss Equation (USLE) and Revised USLE (RUSLE) by the topographic (LS) factor. For slope gradients less than 20 percent, soil loss values are similar for both models, but when the gradient is increased, RUSLE estimates are only half of those of USLE. The study aims to assess the validity of this statement for complex hillslope profiles. To that end, both models were applied at eight diverse mountainous subwatersheds. The USLE and RUSLE indices were estimated utilizing the SEAGIS model and a European dataset, respectively. LS factors were in a 3 to 1 ratio (i.e. USLE to RUSLE) considering the entire basin area. For areas with slopes less than 20 percent, gross erosion estimates of both models converged. Sites of strong relief (greater than 20 percent) USLE yielded significantly higher values than RUSLE.

Název v anglickém jazyce

Inherent relationship of the USLE, RUSLE topographic factor algorithms and its impact on soil erosion modelling

Popis výsledku anglicky

The accurate representation of the Earth s surface plays a vital role in soil erosion modelling. Topography is parameterized in the Universal Soil Loss Equation (USLE) and Revised USLE (RUSLE) by the topographic (LS) factor. For slope gradients less than 20 percent, soil loss values are similar for both models, but when the gradient is increased, RUSLE estimates are only half of those of USLE. The study aims to assess the validity of this statement for complex hillslope profiles. To that end, both models were applied at eight diverse mountainous subwatersheds. The USLE and RUSLE indices were estimated utilizing the SEAGIS model and a European dataset, respectively. LS factors were in a 3 to 1 ratio (i.e. USLE to RUSLE) considering the entire basin area. For areas with slopes less than 20 percent, gross erosion estimates of both models converged. Sites of strong relief (greater than 20 percent) USLE yielded significantly higher values than RUSLE.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Hydrological sciences journal-journal des sciences hydrologiques

ISSN

0262-6667

e-ISSN

2150-3435

Svazek periodika

65

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

1879-1893

Kód UT WoS článku

000547392100001

EID výsledku v databázi Scopus

2-s2.0-85087690714