Dimitrovska, Olgica
Preferred name
Dimitrovska, Olgica
Official Name
Dimitrovska, Olgica
Main Affiliation
Email
olgica@pmf.ukim.mk
8 results
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Item type:Publication, ANTHROPOGENIC PRESSURES ON AIR QUALITY IN THE SKOPJE AGGLOMERATION(Macedonian Geographical Society, 2025-02-01); ; ; Kuzmanoski, ArseAir pollution in the Skopje agglomeration represents a decades-long, complex problem, which requires a profound approach. The expansion of the urban space, which has been especially intensified in the last decade, as well as other socio-economic factors in the capital, have led to an additional serious threat to the health of the population through air pollution. This paper aims to analyze the socio-economic characteristics of the Skopje agglomeration, which exert a great pressure on the environment, and are reflected with the greatest consequences on the air quality in the agglomeration. The location for the research was determined due to the fact that the largest population of residents from the Republic of North Macedonia is concentrated in the Skopje agglomeration and it has high concentrations of air pollutants from all types of pollution sources and pollutants, where the concentration of the population and industrial facilities cause a threat to the quality of the basic components of the environment. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Meteorological Parameters versus PM10: StatisticalAnalysis of the City of Skopje, Republic of NorthMacedonia Using Multiple Linear Regression(HARD Publishing Company, 2025-06-18); ; ; Kuzmanoski, Arse - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Republic of Macedonia – A Timeless Migration Mosaic(Institut Za Migracije I Narodnosti (Institute for Migration and Ethnic Studies), 2018); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, GIS In The Hydromorphology Analysis of Selected Meanders of The River Vardar(2025-06-26); ; This paper aims to determine the hydromorphological changes of selected meander sectors of the largest river in the Republic of North Macedonia, the Vardar River using GIS. The meandering process is a significant dynamic in the hydrological studies of river systems. Covering a period of 59 years (1964-2023), in the study of the meandering process of selected three meander sectors in river Vardar, topographic maps with a scale of 1:50000, geological maps with a scale of 1:100000 and satellite images from the Landsat mission (1983-2013) and the Sentinel-2 mission (2018-2023) were used, which resulted in their processing and analysis. The planimetric characteristics that were analyzed for meandering are the width of the river channel, sinusoidality, radius of curvature, width of the meander section, slope and migration of the riverbed. In the period between 1964 and 2023, all three meander sectors have experienced significant changes in all parameters, with large changes in the width and length of the meander sectors, accompanied with significant lateral erosion on both coastal sides consistently. The hydromorphological changes that have occurred also differ in the different time periods of action, where each period is characterized by certain spatial changes. Understanding the hydromorphological changes in the meandering process has a significant role in predicting future changes in the flow of the riverbed in order to reduce and possibly prevent future potential impacts on the space. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Water Quality and Pollution Status of the Main Rivers in the Republic of North Macedonia(Springer International Publishing, 2019-10-30); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Natural regime of streamflow trends in Macedonia(Czech Geographical Society, 2018); ; ; <jats:p>This study investigates the annual and seasonal trends of minimum, mean and maximum streamflow, analyzed on 13 gauges/streams with natural regime, predominantly mountainous and homogeneously distributed in the studied area. The varying period of at least 40 years is used in the analysis. After the pre-whitening TFPW method was applied, the Mann-Kendall and Sen’s slope tests were used for trend testing. The analysis detects significant decreasing trends in the country (according to a = 0.1 significance level). In general, the streamflow shows levels of decrease in almost all streams with lower or higher magnitude (from 0.1 to 0.01). The results provide a unique assessment of streamflow trends in the country and the current findings are consistent with those in other regions of Europe, especially in Southern Europe. Significant trends of decrease have been found in each of the 13 streamflow gauges throughout Macedonia without a single positive significant trend. The test confirmed the general decreasing streamflow trend in the country; even the stations without any significant decreasing results are generally heading downward.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, GIS analysis of public green spaces in Centar municipality and the situation with air pollution from PM10 and PM2.5 particles(Macedonian Geographical Society, 2020); - 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.