Geosite assessment as the first step for the development of canyoning activities in North Montenegro DOI Creative Commons
Eldin Brđanin, Miško Milanović, Slavica Malinović‐Milićević

et al.

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract The objective of the study is to investigate current state canyons in northern part Montenegro, their potential for sustainable development, which could be achieved through canyoning as an attractive tourist attraction, and assess area’s geotourism potential. encompassed this research are Nevidio Canyon, Tara Grlja canyon river Ibar. was carried out using modified Geosite Assessment Model, includes tourists’ opinions on significance indicators assessment process. obtained results show that all four possess significant scientific, educational, aesthetic values development tourism. Since surveyed tourists pointed not only advantages but disadvantages these geosites, findings should further used valorization geoconservation geosite provide a more favorable deal arrival many possible. In future, investigated geosites improved with content activities, such interpretive boards tourists, expert guides, organized visits, infrastructure, promotion. Successful activities critical areas contribute being one key economically beneficial local population will develop communities larger number domestic foreign tourists.

Language: Английский

An Index for Snowmelt-Induced Landslide Prediction for Zavoj Lake, Serbia DOI Creative Commons
Rastko Marković, Manfred Mudelsee, Milica G. Radaković

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(3), P. 256 - 256

Published: Feb. 21, 2024

In February 1963, a huge landslide (ca. 1,950,000 m3) blocked the Visočica River and, thus, formed Zavoj Lake. The primary objective of this research was to investigate importance snowmelt in relation occurrence and define critical climatic conditions that may trigger massive winter landslides. We used monthly precipitation average maximum temperature data from meteorological stations basin (Dojkinci) immediate proximity Lake (Pirot, Dimitrovgrad Topli Do) as inputs Snow-Melt Landslide (SML) index. It considers summed for previous months continuously have an below 0 °C. According method, event at stands out among all other values past 72 years. After applying SML index, showed >300 mm which we consider threshold value potential landslides appearance. addition data, applied index Coordinated Regional Downscaling Experiment (CORDEX) regional climate model outputs region 2022 2100. As expected, change will influenced values, especially during winter. Conversely, study area is experiencing drastic changes land use caused by depopulation, leading reduced risk basin. suggest future make it more likely experience extreme summer events, might large method can be implemented landscapes snowy winters, providing information timely manner so local residents react properly when probability rises. grounded essential principles, provides tailor-made, data-driven methodology applicable across varied geographical settings. Its utility extends mitigating hydro-meteorological hazards on scales ranging national scales, offering diverse effective early warning solutions.

Language: Английский

Citations

4
Geomorphological Characteristics of Montenegro DOI

Gojko Nikolić,

Filip Vujović,

Goran Grozdanić

et al.

Cave and karst systems of the world, Journal Year: 2024, Volume and Issue: unknown, P. 67 - 78

Published: Jan. 1, 2024

Language: Английский

Citations

4
COMPARATIVE GEOMORPHOMETRIC ANALYSIS OF DRAINAGE BASIN USING AW3D30 MODEL IN ARCGIS AND QGIS ENVIRONMENT: CASE STUDY OF THE IBAR RIVER DRAINAGE BASIN, MONTENEGRO DOI Creative Commons

Filip Vujović,

Golub Ćulafić, Aleksandar Valjarević

et al.

The Journal Agriculture and Forestry, Journal Year: 2024, Volume and Issue: 70(1)

Published: March 30, 2024

Geomorphometric analysis provides crucial insights into the hydrological characteristics by delineating land-surface features of a drainage basin.The study focused on analyzing geomorphometric parameters Montenegrin segment Ibar River basin using ALOS Global Digital Surface Model 30 m (AW3D30).Geomorphometric parameters, covering linear and areal were computed standard mathematical formulas in LibreOffice Calc software hydrology tools commercial GIS ArcGIS, as well open-source QGIS with SAGA modules.Results reveal dendritic pattern stream network, an inverse relationship between length order, elevated bifurcation ratio indicating heightened vulnerability to flooding, influenced geological, geomorphological, climatic factors.Furthermore, examination diverse morphometric such density, frequency, form factor, circularity ratio, elongation unveils dynamics basin.This characterization illustrates region possessing high permeability dense vegetation cover, suggesting erosion consequent effects water sediment discharge.Additionally, this underscores significance user-defined modeling, particularly selecting algorithms within software, which significantly impact parameters.

Language: Английский

Citations

4
GIS-Based Integrated Multi-Hazard Vulnerability Assessment in Makedonska Kamenica Municipality, North Macedonia DOI Creative Commons
Bojana Aleksova, Ivica Milevski, Slavoljub Dragićević

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(7), P. 774 - 774

Published: June 28, 2024

This study presents a comprehensive analysis of natural hazard susceptibility in the Makedonska Kamenica municipality North Macedonia, encompassing erosion assessment, landslides, flash floods, and forest fire vulnerability. Employing advanced GIS remote sensing (RS) methodologies, models were meticulously developed integrated to discern areas facing concurrent vulnerabilities. Findings unveil substantial vulnerabilities prevalent across area, notably along steep terrain gradients, river valleys, deforested landscapes. Erosion assessment reveals elevated rates, with mean coefficient (Z) 0.61 an annual production 182,712.9 m3, equivalent specific rate 961.6 m3/km2/year. Landslide identifies 31.8% exhibiting very high probability while flood depict 3.3% area prone potential. Forest mapping emphasizes slightly less than one-third municipality’s forested is highly or susceptible fires. Integration these elucidates multi-hazard zones, revealing that 11.0% territory faces from excessive erosion, These zones are predominantly located upstream areas, valleys tributaries, estuary region. The identification underscores critical need for targeted preventive measures robust land management strategies mitigate potential disasters safeguard both human infrastructure ecosystems. Recommendations include implementation enhanced monitoring systems, validation community engagement initiatives bolster preparedness response capabilities effectively.

Language: Английский

Citations

4
A Comparison of the AHP and BWM Models for the Flash Flood Susceptibility Assessment: A Case Study of the Ibar River Basin in Montenegro DOI Open Access
Filip Vujović, Aleksandar Valjarević, Uroš Durlević

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 844 - 844

Published: March 14, 2025

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 flooding. This study compares two multi-criteria GIS decision analysis (GIS–MCDA) methodologies, Analytic Hierarchy Process (AHP) and Best-Worst Method (BWM), assessing susceptibility. The uses Flash Flood Susceptibility Index (FFSI), integrating geoenvironmental climatic factors. criteria considered include terrain slope, distance from drainage network, geology, land cover, density, bare soil index, BIO16 variable, which represents mean monthly precipitation of wettest quarter enhance pattern assessment. AHP model classifies 2.78% area as high very susceptibility, while BWM identifies 3.21% these categories. Both models perform excellently based on AUC values, minor, non-significant differences. Sensitivity shows provides more stable weight distribution, whereas sensitive changes, emphasizing dominant strongly. introduces first time modeling, demonstrating its suitability key novelty lies comparative AHP, highlighting differences distribution stability.

Language: Английский

Citations

0
Advancing urban sustainability: Applying GIS technologies to assess SDG indicators – a case study of Podgorica (Montenegro) DOI Creative Commons
Duško Vujačić,

Tatjana Stanovčić,

Tamara Gajić

et al.

Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

Abstract This article investigates the application of a model for calculating sustainable development goal indicator 11.7.1 using example Podgorica (Montenegro). Indicator measures proportion open public spaces in relation to total built-up area city, which is key quality life, social integration, and sustainability urban areas. Utilizing methodology based on geographic information systems (GIS) analysis detailed spatial planning documentation, data various categories green spaces, as well street areas, were collected analyzed. The GIS enables precise mapping digitization while documents provide necessary verification compilation. including parks, squares, streets, was calculated be 1,028 ha. In comparison with 858.49 ha, 119.75%. results this study highlight importance monitoring improving environments. proposed can serve basis future research other enabling more accurate improvement citizens’ life.

Language: Английский

Citations

0
Assessing risk-prone areas in the Kratovska Reka catchment (North Macedonia) by integrating advanced geospatial analytics and flash flood potential index DOI Creative Commons
Bojana Aleksova, Ivica Milevski,

Risto Mijalov

et al.

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract This study presents a comprehensive analysis of flash flood susceptibility in the Kratovska Reka catchment area Northeastern North Macedonia, integrating Geographic Information System, remote sensing, and field survey data. Key factors influencing dynamics, including Slope, Lithology, Land use, Vegetation index, were investigated to develop Flash Flood Potential Index (FFPI). Mapping slope variation using 5-m Digital Elevation Model (DEM) revealed higher slopes eastern tributaries compared western counterparts. Lithological units classified based on erosion processes, with clastic sediments identified as most prone floods. use highlighted non-irrigated agricultural surfaces areas sparse vegetation highly susceptible. Integration these into FFPI model provided insights susceptibility, results indicating medium risk across catchment. The average value is 1.9, considering that values range from 1 5. Also, terrains susceptible floods found be 49.34%, risk. Field data validated model, revealing significant overlap between hotspot for high-risk regions by FFPI. An coefficient was calculated each tributary (sub-catchment) Reka. According Latišnica had highest potential floods, 2.16. These findings offer valuable spatial planning management, implications both local national-scale applications. Future research directions include incorporating machine learning techniques enhance modeling accuracy reduce subjectivity assigning weighting factors.

Language: Английский

Citations

1
Application of remote sensing in monitoring land degradation: A case study of Stanari municipality (Bosnia and Herzegovina) DOI Creative Commons

Luka Sablјić,

Tin Lukić,

Davorin Bajić

et al.

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract The subject of the research represents application remote sensing in monitoring land degradation municipality Stanari Bosnia and Herzegovina (B&H). aim study is to identify spatial changes during period (2017–2023) by processing “products.” Within use, focus placed on alterations resulting from surface mineral resource mining activities. total approved exploitation area amounts 3841.08 ha, covering almost a quarter (23.89%). Monitoring use was conducted through Sentinel-2 images using supervised classification (SC). results were compared with Dynamic World (DW) dataset. Results indicate significant losses forested areas, reduced −7.23% or −2.43% (SC) at municipal level −11.48% −5.90% within area. Spatial extents deforestation identified analyzed based Hansen Global Forest Data Change area, caused activity B&H over (2001–2021), 977.94 264.25 ha (27.02%) municipality. Over 90% cleared forest High erosion coefficient values ( Z ) recorded coinciding coverage deforestation. Additionally, obtained an empirical method for studying mechanical water W y high intensity For possibilities restoration degraded analyzed, including overview activities so far mapping some previously reclaimed areas. contributes better understanding activities, presented data are numerous practical issues, such as sustainable planning, protection ecosystems, environment.

Language: Английский

Citations

1
Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologies DOI Creative Commons

Filip Vujović,

Aleksandar Valjarević, Josep Vila i Subirós

et al.

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract Wildfires pose a significant ecological, environmental, and socioeconomic challenge in southeastern Europe. The preservation of wildlands is not only essential but also foremost priority for Montenegro, country recognized as the world’s first ecological state. Consequently, development optimal methodologies models paramount importance to enhance fire protection measures. With this objective mind, study strives create wildfire susceptibility model on national scale Montenegro. employed seven natural anthropogenic causative criteria: vegetation type; aspect; slope; elevation; climate classification; distance from road; population. modeling process integrates both causal criteria, employing Fuzzy Analytic Hierarchy Process (F-AHP) Frequency Ratio (FR) within geoinformatics environment. outcomes F-AHP reveal that 72.84% total area categorized having high very susceptibility. Conversely, based FR model, 29.07% falls these levels. In terms validation, under curvature values indicates good performance model. contrast, demonstrates poor performance. These novel findings, pertaining Montenegro at scale, offer valuable insights preemptive safeguarding efforts. Moreover, employed, with necessary modifications, hold potential application geographically diverse regions.

Language: Английский

Citations

1
Geosite assessment as the first step for the development of canyoning activities in North Montenegro DOI Creative Commons
Eldin Brđanin, Miško Milanović, Slavica Malinović‐Milićević

et al.

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract The objective of the study is to investigate current state canyons in northern part Montenegro, their potential for sustainable development, which could be achieved through canyoning as an attractive tourist attraction, and assess area’s geotourism potential. encompassed this research are Nevidio Canyon, Tara Grlja canyon river Ibar. was carried out using modified Geosite Assessment Model, includes tourists’ opinions on significance indicators assessment process. obtained results show that all four possess significant scientific, educational, aesthetic values development tourism. Since surveyed tourists pointed not only advantages but disadvantages these geosites, findings should further used valorization geoconservation geosite provide a more favorable deal arrival many possible. In future, investigated geosites improved with content activities, such interpretive boards tourists, expert guides, organized visits, infrastructure, promotion. Successful activities critical areas contribute being one key economically beneficial local population will develop communities larger number domestic foreign tourists.

Language: Английский

Citations

0