Faculty of Natural Sciences and Mathematics
Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/16
Browse
2 results
Search Results
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Investigating relationships between PM10 and Climatic parameters using PCA in the three largest urban areas in North Macedonia(2025-06-26); ; ; Kuzmanoski, ArseThis study applies Principal Component Analysis (PCA) to evaluate how meteorological factors influence PM10 pollution in Skopje, Kumanovo and Bitola from 2012 to 2020. PCA reduces data complexity while identifying key weather variables that impact air pollution levels. Findings indicate that temperature and wind speed have the strongest negative correlation with PM10 concentrations, meaning lower temperatures and weaker winds are linked to higher pollution levels. These conditions limit pollutant dispersion, leading to worse air quality. Humidity and precipitation have mixed effects—humidity can promote both the removal and formation of pollutants, while precipitation aids in PM10 reduction through wet season, depending on intensity and duration. The extracted principal components explain a significant portion of pollution variability, highlighting the dominant meteorological influences on air quality trends. By clarifying these relationships, PCA enhances the understanding of air pollution dynamics in the three largest urban areas in North Macedonia. This analysis provides valuable insights for air quality management in North Macedonia. By identifying the key meteorological drivers of pollution, policymakers can develop more targeted and effective strategies to mitigate PM10 levels and improve public health. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, GIS In the hydromorphology analysis of selected meanders of the Crna reka(University of Sarajevo, Faculty of Science, 2024-12); ; Manevska, Emilija<jats:p>Hydromorphological changes in river systems, particularly in the context of meanders, are crucial for understanding the dynamics of fluvial environments. Meandering is a natural process in lowland areas where rivers form curved, sinusoidal flows driven by the complex interaction of hydraulic forces, sediment transport and bank erosion. These changes alter the physical morphology of rivers, influencing water quality and flood risks. The meandering process of the Crna Reka can be accessed through the processing and analysis of topographic maps and satellite imagery from the Landsat mission (1983–2013) and Sentinel-2 mission (2018–2023). Parameters analyzed include river channel width, the central flow line within a given sector, the sinuosity of the river channel, the radius of curvature of river bends, the length of meandering belts, the width of meandering channels, and riverbed migrations. Between 1964 and 2023, an increase in the sinuosity coefficient, a rise in the number of bends from 10 to 23, changes in the radius of curvature from 271 m to 577 m, and alterations in the length and width of meandering were observed. Significant lateral erosion on the right bank and dominant sedimentation on the left bank were also evident. Understanding these processes is crucial for predicting future river flow changes and mitigating potential environmental impacts.</jats:p>