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    2235 research outputs found

    Dynamics of suspended sediment in the Južna Morava river, south-eastern Serbia

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    This study estimate the temporal trends of recent suspended sediment in Južna Morava river. The variations of suspended sediment transport were analyzed at different time scales (inter-annual, monthly and seasonal, among different periods), based on 47-year hydrological data from the outlet hydrological station. The results indicate of a decline in suspended sediment concentration and sediment load in the long-time series,which can be divided into three periods: high SSC or Qs (1961-1976), medium SSC or Qs (1977-1988) and low SSC or Qs (1989-2007). The average annual SSC and Qs of these three periods are SSC=0.7284 g/l, SSC=0.3580 g/l, SSC=0.1865 g/l, and Qs=4260x103 t, Qs=2277 x103 t, Qs=789 x103 t, respectively. The decrease in SSC and Qs is at the significance level of α=0.001. The frequency distribution of the daily SSC show that cumulatively 92% of daily SSC during the low stage was u distributed in classes up to 0.5 g/l, versus 82% during the medium and 67% during the high period. The frequency of daily SSC in the class of 1-5 g/l decreases over time, from 14% in high period to 6% in low period. In the period 1989-2007 have not been reported SSC greater than 5 g/l. Different patterns of suspended sediment concentration SSC-Q hysteretic loops have been observed for each period. Two types of hysteretic loops were found at Južna Morava River: figure-eight typical of periods 1961-1976 and 1978-1988 and counter-clockwise in period 1989-2007. Human impact is the main factor in reducing suspended sediments. An important change in agriculture land in the basin recorded a significant impact on sediment transport

    Становништво у малим насељима

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    Ова публикација објављена је уз финансијску помоћ Европске уније. За садржину ове публикације искључиво је одговоран Републички завод за статистику и та садржина нипошто не изражава званичне ставове Европске уније

    Assessing the geotourism potential of glacial lakes in Plav, Montenegro: A multi-criteria assessment by using the M-GAM model

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    This study aims to evaluate the significance of glacial lakes within the municipality of Plav from the perspective of geotourism development, employing the modified geosite assessment model methodology for geosite assessment. Although the Plav region is distinguished by its exceptional natural values and landscape diversity, it has not yet been the subject of systematic investigation concerning its geoheritage and geotourism potential. This research represents an initial contribution toward the identification, valorization, and promotion of glacial geosites as a foundation for the development of sustainable geotourism in the area. The analysis encompasses four glacial lakes: Lake Plav, Visitor Lake, Hrid Lake, and Abdija Lake. These lakes represent attractive geosites and play a vital complementary role in shaping an integrated geotourism offer, contributing to the diversity of content and spatial cohesion of tourist attractions within the municipality. The findings confirm that the glacial lakes in Plav possess considerable geotourism potential, providing a robust basis for the planning of specialized tours, educational activities, and the dissemination of geoscientific knowledge. Realizing this potential necessitates coordinated collaboration among local government bodies, tourism organizations, and other relevant stakeholders to develop infrastructural support, enhance the interpretation of geosites, and promote geotourism as a sustainable form of tourism. Although previously underrecognized within the geoheritage framework, the Plav area offers substantial opportunities for further scientific research, educational initiatives, geoconservation efforts, and recreational use in alignment with the principles of geotourism development

    The nexus between solar activity and population displacement: The case study of Southern Europe

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    Solar activity, as the dominant feature of the Sun, has an impact on nature, technology, humans, and their activities on Earth. The aim of this paper is to investigate the linkages between solar activity, natural disasters, and population displacement in Southern Europe, particularly focusing on the characteristics of natural disasters induced displacement during different phases of solar activity. For the purpose of the paper, data on solar activity and displacements induced by hazards category and type in the period 2008–2023 (24 and 25 Solar Cycle) were collected. The quantitative analysis is supported by statistical procedures (seasonal-trend decomposition by Loess-STL, tests for stationarity, correlation analysis, cross-correlation functions-CCF, vector autoregression-VAR, linear regression model, principal component analysis-PCA, k-means) computed in the software R. The results show certain linkages between solar activity and displacements induced by weather related hazards, and indicate that the intensity of this type of displacement is significantly higher during periods of greater solar activity. This paper opens up new horizons for future research in the field of solar activity impact on population displacement

    Machine Learning and Deep Learning Approaches for Wildfire Susceptibility Prediction: A Case Study of the Djerdap Geopark, Serbia

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    Spatial modeling of wildfire probability is a key preventive measure for reducing the ecological, economic, and social impacts of wildfires. This study develops an advanced wildfire susceptibility framework for the UNESCO Global Geopark Djerdap (Serbia) by integrating geographic information systems (GIS), multi-sensor satellite data, and state-of-the-art artificial intelligence (AI) algorithms. Four modeling approaches were evaluated: convolutional neural networks (CNN), deep neural networks (DNN), Kolmogorov–Arnold networks (KANs), and Extreme Gradient Boosting (XGBoost). The dataset comprised 1,354 historical wildfire incidents (2001–2024) derived from MODIS and VIIRS imagery, combined with 15 predictive variables representing topographic, climatological, hydrological, vegetational, and anthropogenic factors. The results indicated that approximately 96.79 km² of the geopark exhibits high wildfire susceptibility. Among the tested models, XGBoost achieved the highest accuracy (99.38%) and specificity (99.63%), while CNN and KANs demonstrated balanced and robust predictive performance; DNN showed comparatively limited generalization. SHAP (SHapley Additive exPlanations) analysis identified distance from settlements and consecutive dry days as dominant predictors across models. This study presents the first application of Kolmogorov–Arnold Networks in wildfire susceptibility assessment and demonstrates their integration with conventional AI models for explainable spatial prediction. The fusion of multi-sensor data and explainable AI enhances model transparency, supporting the identification of vulnerable settlements and cultural heritage areas. The proposed framework contributes to scalable and interpretable wildfire risk modeling, offering valuable guidance for sustainable landscape management and informed policy-making across protected UNESCO sites

    Presentation of environmental content in geography textbooks for elementary schools: a case study on a sample of zuns publications

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    The formation of functional knowledge in geography lessons is made possible by the use of quality textbooks. Didactic apparatus significantly contributes to the quality of textbooks, however, its influence from this aspect has not yet been sufficiently explored. Bearing in mind the methodological importance of photographs as part of the didactic apparatus of textbooks for the presentation of phenomena and processes related to environmental protection, research was conducted with the aim of determining their characteristics in geography textbooks for elementary school. The research was conducted on a sample consisting of two editions of geography textbooks (approved in 2007 and 2021) for elementary school by the publishing house ZUNS. Bearing in mind the educational importance and function of photographs as a source of information and a means of solving questions and tasks related to environmental protection, qualitative and quantitative analysis of photographs in the editions of geography textbooks approved in 2021 was first performed. In the second stage of the research, their comparative analysis was performed with the photos used in the textbook editions approved in 2007 with the aim of determining changes in the features selected for observation. Changes were found regarding the increase in the quantity of photos showing environmental content, the increased share of photos functionally related to the main text, and the absence of photos with a decorative function. However, the didactic apparatus retained certain negative features (prevalence of photographs, their unbalanced relationship with other elements of the didactic apparatus, etc.), so it is necessary to improve it. At the end of the paper, a set of measures was given for the effective inclusion of photographs in the didactic apparatus, so that they would have the best possible educational function

    Transport as tourism: conceptual overview

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    This article explores the concept of “transport as tourism,” emphasizing how mobility modes, from historic trains and gondolas to luxury cruises and themed rides, evolve beyond mere infrastructure into experiential, symbolic, and emotionally resonant elements of the tourism product. Drawing on theories of tourist motivation, experiential value, and cultural consumption, the paper highlights how transport intersects with heritage, landscape aesthetics, media representation, and identity performance. It examines the socio-economic, cultural, and environmental implications of this phenomenon, with attention to sustainability, destination branding, and the hybridization of travel and tourism. Through diverse case studies and interdisciplinary insights, the article argues that understanding transport as an active tourism experience demands new planning frameworks that integrate cultural preservation, economic viability, and ecological responsibility. Ultimately, the study positions transport not just as a logistical enabler, but as a critical site of tourist engagement, storytelling, and value creation

    Two-piece puzzle: Older population and climate change in Serbia

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    The aim of this research is to shed a light on the dual relationship between older population and climate change in Serbia. On the one hand, there is a (dis)proportional susceptibility of the older population to the various environmental risks due to objective impairments caused by ageing process (physical and cognitive). The heterogeneous characteristics of older population pose an important limiting factor for unilateral practical responses in the case of the environmental hazards, as older population is more vulnerable than other age groups. On the other hand, the rising number of older population can have more pronounced impact on the climate actions and possible mitigation. The paper discusses the nexus of climate change and population ageing through emerging theoretical framework and empirical approach that uses purposive sampling with tailored made survey questions. The questionnaire was design to investigate the perceptions of older population on climate change, their preparedness for extreme weather events and their assessment of innovative strategies for promoting climate awareness. The research is planned to be carried out on more than 100 older adults in various cities in Serbia. The results are expected to reveal how much the older responders are worries about the impact of climate change in actual and future generations, and how much the possibility for different extreme weather events frighten them. Furthermore, the research will cover the anticipated help from others (family, friends, neighbors, medical stuff etc.) in the case of environmental emergency. Additionally, older respondents will be asked about possible lifestyle changes they would adopt as a response to the changing climate. As a conclusion, the paper will address the issues regarding the impact of climate change on older person’s life, and maneuvering room when it comes to the better climate awareness among older population.Editor: Natalija Miri

    A Comparison of AHP and BWM Models for Flash Flood Susceptibility Assessment: A Case Study of the Ibar River Basin in Montenegro

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    Assessing flash flood susceptibility is crucial for disaster management, yet Montenegro lacks research using geoinformation technologies. In northeastern Montenegro, the Ibar River Basin, mainly in Rožaje, has a well-developed hydrological network with torrential streams prone to flash flooding. This study compares two multi-criteria GIS decision analysis (GIS–MCDA) methodologies, the Analytic Hierarchy Process (AHP) and the Best-Worst Method (BWM), for assessing flood susceptibility. The analysis uses the Flash Flood Susceptibility Index (FFSI), integrating geoenvironmental and climatic factors. The geoenvironmental criteria considered include terrain slope, distance from the drainage network, geology, land cover, drainage density, bare soil index, and the BIO16 variable, which represents the mean monthly precipitation of the wettest quarter to enhance precipitation pattern assessment. The AHP model classifies 2.78% of the area as high to very high susceptibility, while the BWM model identifies 3.21% in these categories. Both models perform excellently based on AUC values, with minor, non-significant differences. Sensitivity analysis shows AHP provides a more stable weight distribution, whereas BWM is more sensitive to weight changes, emphasizing dominant criteria more strongly. This study introduces BWM for the first time in flash flood modeling, demonstrating its suitability for susceptibility assessment. The key novelty lies in its comparative analysis with AHP, highlighting differences in weight distribution and model stability

    Роми у пописима становништва Србије : између статистике и демографске стварности

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    Ова публикација објављена је уз финансијску помоћ Европске уније. За садржину ове публикације искључиво је одговоран Републички завод за статистику и та садржина нипошто не изражава званичне ставове Европске уније

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