The concept of resilience has recently been gaining ground as a tool for understanding the landscape. Although it was already used in antiquity, the concept in its modern sense derives from physics, where it designates a characteristic of the material that is returns to its original position after a fault. The term was first used in biology in the seventies of the last century, and then it slowly moved to other sciences. It has been established in geography over the last decade, especially in the field of economic geography, and recently in the field of natural hazards. In this paper we present different natural- and social-geographic indicators to measure resilience of natural hazards and from the calculated indices that can help us better understand geographical environment.
COBISS.SI-ID: 37914669
A set of cyclical aerial photogrammetric measurements of Slovenia (CAS) taken over the course of many years is available. Among other things, their use in geography has been connected with exploring changes in land use, studying environmental degradation, and determining specific physical geographical changes in the landscape, such as changes in glaciers and river beds. This article presents the usefulness of CAS for monitoring the intensity of slope processes. Among other cases, the CAS stereoimages were used to measure the size of the terrain changes in the torrent valley of Suhelj Creek in the Upper Sava Valley.
COBISS.SI-ID: 37923885
The article presents hydro-geomorphic processes associated with natural and artificial dams. Landslides and rockfalls are triggered behind the dams due to different causes, e.g. fluctuation of the water level. Such phenomena can cause overspilling or demolish natural and artificial dams. Some examples are presented with the focus on geographical aspects of the phenomena which is a case of sediment transport with torrential floods or mass movements, including their relation to debris flows.
COBISS.SI-ID: 41031981
Avalanche accidents, particularly those resulting in fatalities, attract substantial attention from policy makers and organizations, as well as from the media and the public. Placing fatal accidents in a wider context requires long-term and robust statistics. However, avalanche accident statistics, like most other accident statistics, often rely on relatively small sample sizes, with single multi-fatality events and random effects having a potentially large influence on summary and trend statistics. Additionally, trend interpretation is challenging because statistics are generally explored at a national level, and studies vary in both the period covered and the methods. Here, we addressed these issues by combining the avalanche fatality data from the European Alps (Austria, France, Germany, Liechtenstein, Italy, Slovenia, and Switzerland) for three different periods between 1937 and 2015 and applying the same data analysis methodology.
COBISS.SI-ID: 40090669
Suspended solids are present in every river, but high quantities can worsen the ecological conditions of streams; therefore, effective monitoring and analyses of this hydrological variable are necessary. Frequency, seasonality, inter-correlation, extreme events, trends, and lag analyses were carried out for peaks of suspended sediment concentration (SSC) and discharge (Q) data from Slovenian streams using officially monitored data from 1955 to 2006 that were made available by the Slovenian Environment Agency. In total more than 500 station-years of daily Q and SSC data were used. No uniform (positive or negative) trend was found in the SSC series, however all the statistically significant trends were decreasing. No generalization is possible for the best fit distribution function. A seasonality analysis showed that most of the SSC peaks occurred in the summer (short-term intense convective precipitation produced by thunderstorms) and in the autumn (prolonged frontal precipitation). Correlations between Q and SSC values were generally relatively small (Pearson correlation coefficient values from 0.05 to 0.59), which means that the often applied Q-SSC curves should be used with caution when estimating annual suspended sediment loads. On average, flood peak Q occurred after the corresponding SSC peak (clockwise-positive hysteresis loops), but the average lag-time was rather small (less than 1 day).
COBISS.SI-ID: 6926689