- Biogeography (19)
- Climatology (36)
- Environment (74)
- Geomorphology (56)
- GIS and Remote Sensing (18)
- Human and economic geography (60)
- Hydrology (53)
- Regional geography (44)
- Tourism (40)
- Various (32)
Abstract: The paper investigates whether specific categories of street names (in particular, politically relevant vs. politically neutral) have more probability to be renamed in historical perspective. Focusing on the case of Kyiv, the capital of Ukraine, a city with a rich history of street renaming due to numerous transitions of political power, and based on a longitudinal dataset (1880-2023) of street renaming in the city, we determine the odds of a certain category of street names to be renamed in a certain historical period employing multiple binomial logistic regressions as a research method. The results generally confirmed a theoretically grounded hypothesis that politicised street names are more likely of being renamed that politically neutral ones. At the same time, in between the tumultuous phases of the power transitions, ideologically neutral names become primary targets of renaming just because of their political neutrality, since the commemoration of new heroes needs additional street names. In this way, the probability of a specific semantic category of a street name to be changed depends on the stage of political transition cycle.
Abstract: Travelers nowadays expect to have a proper, constant, and free internet connection at their disposal almost everywhere, with the Wi-Fi service offered as a standard in tourist lodgings. Such is the importance of the service, that the issue of free internet access has become a crucial booking factor to be considered in the pre-reservation stage. The main working hypothesis argues that online booking platforms offer insights regarding the capitalization of internet connectivity in accommodation establishments as a free service. Focusing on a rural tourism destination, the Land of Maramureș, northern Romania as a case study, the paper proposes an empirical methodological framework designed in a GIS environment that concentrates on two key variables – the mobile aggregated signal coverage data in the study area as an independent variable, sourced from the map of mobile signal coverage in Romanian settlements developed by ANCOM (the National Authority for Management and Regulation in Communications) and the Wi-Fi secondary scores as the dependent variable, sourced from Booking.com score data to test the above working hypothesis. The testing of the working hypothesis was performed using spatial processing and analysis methods such Inverse Distance Weighted Interpolation (IDW) and Regression Analysis.
Abstract: Water samples for chemical analyses have been collected from impenetrable karst springs and from water flows intercepted by caves within the area of Sohodol valley. The analyzed inorganic constituents were noticed to belong to two distinct categories. One category included solutes of variable concentrations, likely related to local allochtonous inputs (Al, NO3) and to local occurrences of decaying organic matter (PO4, NO3), such solutes being hence irrelevant in terms of regional patterns of rock weathering. The other category of solutes (Ca, Mg, Na, K, Sr, Ba, Rb, Fe, HCO3 and SiO2) proved to have concentrations that did not differ between two interconnected water flows (e.g., impenetrable karst springs that discharged from a common water body; a cave stream connected to an impenetrable karst spring). Accordingly, the concentrations of this second group of constituents represented reliable chemical fingerprints of a particular karst watershed. And implicitly, water flows having contrasting concentrations of such solutes were conjectured to belong to distinct karst watersheds, which likely differed in terms of chemical composition of the karstifiable rocks, and/or of the impervious rocks which provided allochtonous recharge to the concerned karst drainage systems.
Abstract: Maize, the most important cereal crop at global level, is a climate-sensitive plant. Consequently, the changes of the key meteorological parameters, namely temperature and precipitation amount, determine low yields, especially in rain-fed regions. The dependency of maize yield on climate conditions was assessed based on monthly values of the considered meteorological parameters (data from 14 meteorological stations for the period 1990-2021). The mean values of the analysed interval generally reveal proper conditions for the development of maize. However, starting with June until September, mean temperatures are 1 to 2°C above the optimum thermal threshold, as mentioned in the specialized literature. The growth degree days index (GDD) emphasizes Oltenia as a region with a very good thermal potential for maize, all mean values exceeding 1600°C, but the southwestern sector of the plain area has already exceeded 2000°C, underlining the increase in heat stress. The water deficit generates dry conditions, especially in Mehedinți, Dolj, and Olt, mainly in the interval July-August, which also corresponds to the maximum water requirements of maize. Drought prone areas were determined based on Selyaninov’s hydrothermal coefficient (HTC), which indicates slightly dry conditions in the growing season in the plain area, while northwards, in the piedmont and Subcarpathians, the climate is slightly humid, respectively moderately humid, drought risk decreasing gradually in this direction. At monthly level, August is the most problematic period as, except the northeastern part (Polovragi and Râmnicu Vâlcea), the entire region displays dry, moderately dry, and slightly dry conditions. The lowest maize yields correspond to the years 1993, 2000, 2002, 2007, and 2012. If in the first three years, the drastic yield reduction was mostly determined by a severe water deficit registered during the entire life cycle of the plant, in the last two years, the main restrictive factor was represented by temperature, mean monthly values exceeding 27°C and mean maximum values 35°C, especially in the plain area. Taking into account the projected increase in temperature and water deficit, the impact of climate conditions on maize crops may also be gradually higher in Oltenia and certain adaptation measures should be taken.
Abstract: The current article aims to evaluate water contamination in the crossborder section of the Timok River in terms of metalloids and heavy metals. Water pollution comes due to the unregulated discharges of untreated effluents from the Bor mining area (Eastern Serbia) and surrounding ore-smelting plants, dressing and processing factories. Input data includes information concerning the values of eight chemical parameters (As, Cd, Cu, Fe, Mn, Ni, Pb, and Zn), measured at one water sampling site from 2015 until 2020. The analysis follows the Environmental Quality Standards (EQS) for priority substances and some other pollutants recommended in Directive 2013/39/EC and their equivalent criteria transposed into Ordinance H-4/2012. The Heavy Metal Pollution Indеx (HPI) to assess the suitability of water resources for various human needs is calculated. Results obtained show the content of Cd, Cu, Fe, Mn, Ni, and Zn does not fulfill the EQS. The contamination with Cd and Cu is the most severe, the highest concentrations exceeding the normatively determined standards by more than 20 times. The HPI achieves scores ranging from 200.58 (2015) up to 1163.65 (2019), indicating “High pollution” and suggesting the water resources are inappropriate for human consumption. This work complements past studies with findings for a recent period.
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