The GSE journal was, by the decision of the Council for Science, Research and Innovation after an update in 2010, added to the list of peer reviewed periodicals published in the Czech Republic
In our study we focused on advanced software applications to allow simulation of an avalanche. We used the model ELBA+, by which we tried to assess the vulnerability of mountain environments around the old mining settlement called Magurka (1036 m a.s.l.), which lies below the main ridge of Low Tatras at the end of Ľupčianská valley. The avalanche in the Ďurková valley released on 14th March 1970 went down in history because it is still one of the largest avalanches recorded in Slovakia. Using archived data of the Avalanche Prevention Centre in Jasná, we tried its most faithful reconstruction. Then we tried to simulate an avalanche in the Viedenka valley using the same amount of snow in the release zone as it was supposed to be in 1970. Because a part of the Magurka settlement is situated at the mouth of this valley, which has more direct and shorter terrain than the valley of Ďurková, we examined the possibility of intervention by the avalanche.
The contribution deals with the evaluation of the quality of geographic information in accordance with the ISO standards from the family of ISO 19100. The quality assessment was carried out on a sample of the data of the digital elevation model of the Slovak republic – DMR3. The selected data quality elements and sub-elements were evaluated using measures defined in the INSPIRE data specification for Elevation.
This paper summarizes the methods and results of error modelling and propagation analyses in the Olše and Stonávka confluence area. In terrain analyses, the outputs of the aforementioned analysis are always a function of input. Two approaches according to the input data were used to generate field elevation errors which subsequently entered the error propagation analysis. The main goal solved in this research was to show the importance of input data in slope estimation and to estimate the elevation error propagation as well as to identify DEM errors and their consequences. Dependencies were investigated as well to achieve a better prediction of slope errors. Four different digital elevation model (DEM) resolutions (0.5, 1, 5 and 10 meters) were examined with the Root Mean Square Error (RMSE) rating up to 0.317 meters (10 m DEM). They all originated from a LIDAR survey. In the analyses, a stochastic Monte Carlo simulation was performed with 250 iterations. The article focuses on the error propagation in a large-scale area using high quality input DEM and Monte Carlo methods. The DEM uncertainty (RMSE) was obtained by sampling and ground research (RTK GPS) and from subtraction of two DEMs. According to empirical error distribution a semivariogram was used to model spatially autocorrelated uncertainty in elevation. The second procedure modelled the uncertainty without autocorrelation using a random N(0,RMSE) error generator. Statistical summaries were drawn to investigate the expected hypothesis. As expected, the error in slopes increases with the increasing vertical error in the input DEM. According to similar studies the use of different DEM input data, high quality LIDAR input data decreases the output uncertainty. Errors modelled without spatial autocorrelation do not result in a greater variance in the resulting slope error. In this case, although the slope error results (comparing random uncorrelated and empirical autocorrelated error fields) did not show any statistical significant difference, the input elevation error pattern was not normally distributed and therefore the random error generator realization is not a suitable interpretation of the true state of elevation errors. The normal distribution was rejected because of the high kurtosis and extreme values (outliners). On the other hand, it can show an important insight into the expected elevation and slope errors. Geology does not influence the slope error in the study area.
IThe use of GIS in developing countries has been coined as an oxymoron for several reasons, but mainly due to the fact that the historical burden of maps is to have been used as a tool of control and technological dominance. Participatory approaches in mapping and GIS allow to bring a greater degree of social responsibility and ethics in research and visualisation of local spatial knowledge. The article focuses on the description of selected reasons that led to the sceptical attitude towards GIS, and to identify the basic ethical issues of collection and interpretation of spatial information in developing countries on an example of mapping water resources in the village Koffiekraal in South Africa.
This article is a basic study dealing with the issues of underground storage of carbon dioxide generated from different kinds of activities. Carbon dioxide can be stored underground as a free gas; gas dissolved in water, or can be adsorbed in the rock mass and in the remaining seams. The technology for processing and storage of carbon dioxide is known as carbon capture & storage (ccs). The article focuses on the possibility to store co2 underground at the paskov mine in the czech republic.
The article deals with business environment in the moravia-silesian region, which is very various, dynamic and complex. It is influenced by many factors, which can have positive or negative impacts on corporations. The objective of the article is to determine the structural assistance from the operational programmes in the programming period 2007 – 2013, which can reinforce the factors influencing this business environment, and this way improve the quality of this environment, and to evaluate mutual relationships among the operational programmes and the factors. The article defines these factors, the structural assistance of the european union, finds and analyses their mutual relationships.
The present article deals with the area of social and health welfare of former and current employees of the abolished, privatized or otherwise affected by reorganization mining enterprises in connection with the decline of uranium, ore and coal mining industry in the country. It describes a thorough analysis of the legislation governing the given area from the start of the decline in mining activity in 1990 to the present. Subsequently, relying on real data from practice, the article shows elaborated overviews of trends in the number of beneficiaries of all kinds of provided mandatory and decline-based social and health reimbursements in the years 2001-2012, including the total cost financed in a form of subsidies from the state budget. The forecast of trends of these monitored indicators, processed by the age of beneficiaries of compensations, type of work and other practice-verifiable data, suggests a sharp reduction in the number of recipients of mandatory compensations in the year 2015, the complete termination of payment of a special health benefit for miners by 2025, compensations of accidents at work, occupational diseases and allotments of coal and wood by the year 2035. The payment of the special benefit to miners, a claim for which occurred after 31 december 1992, will have finished by the year 2040.
In the contemporary geodetic practice it is practically a must to use modern geodetic apparatuses and a variety of the cad (computer aided design) software for processing and visualising spatial data. The present paper deals with geodetic surveying of kecerovce open pit mine to determine, for the purpose of mine reopening and commencing with mining of andesite, the volume of non-extracted volumes of andesite. The open pit mine is situated on the foot of slanské vrchy mountain range. Determining of the auxiliary survey control points and the quarry vicinity was performed by gnss technology and rtk method. Detailed surveying of the open pit mine was performed through an electronic total station. by measurements attained spatial data were processed by pertinent proprietary software. Subsequently, the determined spatial coordinated were imported into the graphic-calculating softwares for further processing and visualisation. These graphical-calculating applications make possible not only 3d modelling and visualising of surfaces but also their analysing, especially then determining the volumetric data that represent various aspects necessary to assess as activities within the related branches so possible future development.