We are pleased to share that the AUC Geographica was awarded an Impact Factor of 0.6 in the 2022 Journal Citation Reports™ released by Clarivate in June 2023. AUC Geographica ranks (JCI) in Q3 in Geography.
AUC Geographica (Acta Universitatis Carolinae Geographica) is a scholarly academic journal continuously published since 1966 that publishes research in the broadly defined field of geography: physical geography, geo-ecology, regional, social, political and economic geography, regional development, cartography, geoinformatics, demography and geo-demography.
AUC Geographica also publishes articles that contribute to advances in geographic theory and methodology and address the questions of regional, socio-economic and population policy-making in Czechia.
Periodical twice yearly.
Release dates: June 30, December 31
All articles are licenced under Creative Commons Attribution 4.0 International licence (CC BY 4.0), have DOI and are indexed in CrossRef database.
AUC Geographica is covered by the following services: WOS, EBSCO, GeoBibline, SCOPUS, Ulrichsweb and Directory of Open Access Journals (DOAJ).
The journal has been covered in the SCOPUS database since 1975 – today
https://www.scopus.com/source/sourceInfo.uri?sourceId=27100&origin=recordpage
The journal has been selected for coverage in Clarivate Analytics products and services. Beginning with V. 52 (1) 2017, this publication will be indexed and abstracted in Emerging Sources Citation Index.
The journal has been indexed by the Polish Ministry of Science and Higher Education (MSHE) on the list of scientific journals recommended for authors to publish their articles. ICI World of Journals; Acta Universitatis Carolinae, Geographica.
Journal metrics 2022
Web of Science
Impact factor (JCR®): 0.6
Journal Citation Indicator (JCI): 0.24
Rank (JCI): Q3 in Geography
Scopus
Cite Score: 1.1
Rank (ASJC): Q3 in Geography, Planning and Development; Q3 in General Earth and Planetary Sciences
The journal is archived in Portico.
AUC GEOGRAPHICA, Vol 49 No 1 (2014), 21–31
Estimation of bedload transport in headwater streams using a numerical model (Moravskoslezké Beskydy Mts, Czech Republic)
Tomáš Galia, Jan Hradecký
DOI: https://doi.org/10.14712/23361980.2014.3
published online: 01. 09. 2014
abstract
The TOMSED numerical model, originally developed for Alpine torrents, was successfully applied on the May, 2010 flood event in headwater streams of the Czech part of the Western Flysch Carpathians. The Manning equation was used together with application of a reduced energy gradient and potential erosion limits. Contributions of form resistance and grain resistance to Manning’s roughness parameter were considered separately. The absence of bedload discharge measurement made it difficult to validate the model for local headwater channels, although channel reaches with recent erosional and depositional trends were recognized fairly well by the simulations. Bedload transport was calculated in the range from 480–1240 m3 for the richly-supplied headwater stream and 380–860 m3 for the stream with limited sediment- supply conditions. It turns out that the channel reaches with higher sediment supply have less developed bedforms (e.g. steps) and thus lower flow resistance resulting in a higher intensity of bedload transport.
keywords: headwater stream; hydrological modelling; bedload transport; TOMSED; Moravskoslezské Beskydy Mts
Estimation of bedload transport in headwater streams using a numerical model (Moravskoslezké Beskydy Mts, Czech Republic) is licensed under a Creative Commons Attribution 4.0 International License.
