BRÁZDIL, Rudolf, Karel ŠILHÁN, Tomáš PÁNEK, Petr DOBROVOLNÝ, Lucie KAŠIČKOVÁ and Radim TOLASZ. The influence of meteorological factors on rockfall in the Moravskoslezské Beskydy Mts. Geografie - Sborník České geografické společnosti. Praha, 2012, vol. 117, No 1, p. 1-20. ISSN 1212-0014.
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Basic information
Original name The influence of meteorological factors on rockfall in the Moravskoslezské Beskydy Mts.
Authors BRÁZDIL, Rudolf (203 Czech Republic, guarantor, belonging to the institution), Karel ŠILHÁN (203 Czech Republic), Tomáš PÁNEK (203 Czech Republic), Petr DOBROVOLNÝ (203 Czech Republic, belonging to the institution), Lucie KAŠIČKOVÁ (203 Czech Republic, belonging to the institution) and Radim TOLASZ (203 Czech Republic).
Edition Geografie - Sborník České geografické společnosti, Praha, 2012, 1212-0014.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10500 1.5. Earth and related environmental sciences
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 0.500
RIV identification code RIV/00216224:14310/12:00057336
Organization unit Faculty of Science
UT WoS 000302329600001
Keywords in English rockfall; dendrogeomorphology; regelation cycle; meteorological factors; air temperature; precipitation; Moravskoslezské Beskydy Mts.
Tags AKR, rivok
Changed by Changed by: Ing. Andrea Mikešková, učo 137293. Changed: 11/4/2013 19:38.
Abstract
Rockfall rate (RR) series for four sites in the Moravskoslezské Beskydy Mountains (Smrk1, Smrk2, Ropice and Satina) were created for the period 1931–2008, using a dendrogeomorphic approach. Meteorological stations from the immediate area were also selected to study the influence of meteorological factors on rockfall. Monthly, seasonal, and annual mean air temperatures (TM), number of days with transitions of temperatures through 0 deg C (Tr0) and precipitation totals (Pr) were used for this analysis. Despite the complexity of the rockfall process, uncertainty in the development of RR series and uncertainty in local meteorological patterns, there exist statistically significant correlation coefficients between RR series and meteorological variables. Multiple stepwise linear regression allows explanation of up to 43% (Satina in 1975–2008) of the RR variability by meteorological factors. Tr0, followed by TM, are the most important factors, while the influence of Pr was demonstrated only randomly.
Links
GAP209/10/0309, research and development projectName: Vliv historických klimatických a hydrometeorologických extrémů na svahové a fluviální procesy v oblasti Západních Beskyd a jejich předpolí
Investor: Czech Science Foundation
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