- Biogeography (19)
- Climatology (36)
- Environment (76)
- Geomorphology (57)
- GIS and Remote Sensing (18)
- Human and economic geography (62)
- Hydrology (54)
- Regional geography (45)
- Tourism (42)
- Various (33)
Abstract: The Bucegi Mountains and the Prahova Valley represent the most important destinations for winter tourism activities, of great heritage value in the Southern Carpathians – Romanian Carpathians. A number of resorts have developed here over time, currently enjoying great popularity among those keen on such activities. This article aims at presenting, on the one hand, the natural features (terrain factors and climate variables) favourable for winter tourism activities, and on the other, our results concerning the statistical analysis of the accommodation infrastructure, ski amenities and tourist flow. The expansion of the ski area and the development perspectives of the existing infrastructure as much as the local, regional and national authorities’ interest represent the premises for hosting the winter edition of the European Youth Olympic Festival, in 2013 and the Winter Olympic Games in the year 2020 in the outlined area.
Abstract: The present study aims at examining the natural potential of the region as a prerequisite for the planning and the expansion of the ski domain, in order to reinvigorate the resorts Muntele Mic and Poiana Mărului. The factors taken into account to identify the best areas for planning new ski tracks are: the altitude, the slope, the orientation of the slopes to the solar radiation, the duration and the thickness of the snow layer, the land use, the risk of snow avalanches occurrence and the degree of accessibility. Because the factors considered don’t have the same importance for the favorability, before the combination of the factors, we used the Analytical Hierarchy Process (AHP) implemented by the IDRISI Andes software to assign for each factor a relative weight to use in the analysis. The risk of snow avalanches occurrence was considered as restrictive factor (Boolean factor). The combination of factors by Weight of Evidence method resulted in the creation of the final model, which presents the probability map for new ski tracks. The probability degree varies continuously in space, from a very high probability (255) to a very low probability (0) depending on the combination mode in a certain area of the considered factors and their weight. We considered as optimal areas only the areas with values above 200. The best areas to expand the ski domain are the detached secondary peaks of Muntele Mic towards north and the northern slopes of the Nedeia Ridge. These areas could allow for the development of certain ski tracks at least the same size as the ones of the Prahova Valley. The development of the ski domain in these areas will connect the two resorts, Muntele Mic and Poiana Mărului, and could increase the touristic potential of the study area.
Abstract: A relief that is strongly modelled by extensive erosion processes (sheet erosion, rills and gullies) characterizes the Alpine level of the Bucegi Mountains. All processes are favoured by the geological structure represented by conglomerates, limestone with grit stone intrusions, by strongly degraded podzolic soils with a loamy-sandy texture in the first layer and by some economic activities, such as the overgrazing and the tourism. We have identified an area with large-scale erosion forms in the sector comprised between Furnica Peak and Piatra Arsa Peak. This paper analyses the genesis and the manifestation conditions of the erosion processes, as well as the climate, making use of the temperature and the precipitation data provided by the meteorological stations in the region. Using the Péltier diagram, we framed the region to various seasons. By subsequently using the Péguy diagram, we framed the region to the morphoclimatic conditions and to the river processes. On the other hand, by using GIS, we created geology, slope, soil and vegetation Boolean maps and then the risk map to the erosion processes.
© 2009- 2026 Forum geografic
Designed by Alin Clincea.
