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Effect of erosive efficient rains specification on rainfall erosivity factor
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SYSNO ASEP 0584242 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Effect of erosive efficient rains specification on rainfall erosivity factor Tvůrce(i) Středová, H. (CZ)
Štěpánek, Petr (UEK-B) RID, SAI, ORCID
Středa, T. (CZ)
Nejedlík, P. (SK)Celkový počet autorů 4 Zdroj.dok. Contributions to geophysics and geodesy. - : Sciendo - ISSN 1338-0540
Roč. 53, č. 3 (2023), s. 301-318Poč.str. 18 s. Jazyk dok. eng - angličtina Země vyd. SK - Slovensko Klíč. slova period ; storms ; kinetic energy ; climate change ; water erosion Vědní obor RIV DD - Geochemie Obor OECD Climatic research Výzkumná infrastruktura CzeCOS IV - 90248 - Ústav výzkumu globální změny AV ČR, v. v. i. Způsob publikování Open access Institucionální podpora UEK-B - RVO:86652079 UT WOS 001167648700007 EID SCOPUS 85175043302 DOI 10.31577/congeo.2023.53.3.7 Anotace The water erosion represents one of the most dangerous degradation processes on agricultural land. Its estimation is thus necessary for setting rules and defining appropriate strategies for soil protection. An estimation of a long-term average annual soil loss by water erosion is frequently based on the Universal Soil Loss Equation (USLE) defined as a product of six factors, where rainfall erosivity factor (R factor) is a leading one. R factor is a multi-annual average index that measures rainfall kinetic energy and intensity describing the effect of erosive efficient rains (EER) on sheet and rill erosion. EER were defined by total higher than 12.7 mm and intensity higher than 6.4 mm in 15 minutes. As those ERR criteria are being used differently by various studies, we decided to compare R factor derived by two variants of ERR criteria: i) EER must fulfil both minimal total and minimal intensity (VAR_AND), ERR must fulfil either minimal total or minimal intensity (VAR_OR). Based on 1-minute precipitation totals database of Czech hydrometeorological institute for 111 stations for 1991-2021 we conclude that mean of Ra VAR_AND across altitude is about 30% lower than Ra VAR OR while there is high statistical significant correlation between those two variants. In addition, annual values of R factor derived by both variants show a statistically significant increase in a long run which calls for updating the R-factor values to reflect increasing climate change impacts. Pracoviště Ústav výzkumu globální změny Kontakt Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Rok sběru 2024 Elektronická adresa https://journal.geo.sav.sk/cgg/article/view/472/427
Počet záznamů: 1