Ambient air pollution is a very considerable and complex physicochemical and environmental issue. Particulate matter (PM) is one of the fundamental pollutants constituted in ambient air. Rapidly expanding urban transformations in city of Novi Sad, Serbia, produces high concentrations of PM. The vast and growing number of construction sites as pollution emission hotspots induce constant nuisance for the people, build surrounding and environment in total. Serbian legislation has set PM pollution limit values for daily emissions, but the air pollutant registry still does not recognize construction sites as severe sources of PM emergence. Understanding the importance and the effects of PM emission from construction sites is crucial in environmental preservation. For the preparation and application of methods and techniques for prevention and mitigation, suitable environmental pollution modeling needs to be achieved. The aim of the research is to assess and determine the utility of Tier 1 prediction model designed by Environmental Protection Agency and environmental modeling software ADMS URBAN on observed construction sites in Novi Sad, Serbia. Assessing monitoring data confirms construction sites as significant PM10 and PM2.5 pollution sources. Two sets of correction coefficients were calculated for PM10 and PM2.5, using average and median values, 2.56-2.54 and 1.03-0.97 respectively. The research study was for the first time conducted in Novi Sad, Serbia in the case of construction sites.

An Internet of things (IoT) based system framework integrating a distributed sensor network was implemented to collect real-time data at a construction site. Various sensors were utilized to gather data concerning particulate matter (PM2.5 and PM10 concentrations) as well as meteorological parameters ? wind speed, humidity, pressure, and temperature. The real-time measurements results provide an overview of air pollution levels at the construction site, revealing its association with earth excavation work, the primary construction activity. This connection al-lows for better management aimed at reducing concentrations of suspended particles. Through on-site monitoring of two pollutant concentrations, this study identified that the dust levels resulting from excavation activities were relatively high. It can be concluded that earth excavation significantly impacts air quality in the construction area. While exploring the primary factors influencing construction dust concentrations, the correlations indicate that these concentrations were not significantly associated with meteorological factors. To predict PM2.5 and PM10 concentrations in the air using number of working machines and meteorological parameters as predictors, both multiple linear regression and artificial neural net-work models were applied. The artificial neural network model demonstrates better alignment with the measured air concentrations compared to the multiple linear regression model. The artificial neural network model demonstrated an R2 value of 0.674 for PM10 and 0.618 for PM2.5, indicating a strong predictive capability. The aim of this research, through modeling PM2.5 and PM10 concentrations in the air at the construction site is to indicate importance of the topic, especially with respect to the health of the construction site workers.

Experiencing rapid development and growth, cities worldwide face a surge in air pollution, primarily driven by the increased concentrations of the particulate matter (PM) originating from various anthropogenic sources, such as traffic, household fuel combustion, and industrial and construction activities. Urban green spaces can naturally filter PM through physicochemical processes, serving as effective urban planning instruments for the improvement of the air quality. Focusing on a street in Novi Sad, the second-largest city in Serbia, this study investigates the efficiency of vegetation in mitigating air pollution, specifically PM10 emissions from traffic and construction activities. Using the contemporary monitoring and modelling techniques for measuring and predicting PM10 concentrations, the focus of this research is to evaluate the efficacy of vegetation in affecting and minimizing detected PM concentrations. The results indicate a significant reduction in the monitored PM10 concentrations behind the green barrier compared to the modelled concentrations near the pollution source (on the road) for both traffic and construction-related emissions. The paper highlights the capacity of green elements to act as natural air pollution mitigators and suggests better integration of strategic environmental management into urban planning to foster the development of healthier and more sustainable cities, providing recommendations to facilitate this objective.

Striving for EU membership, the Republic of Serbia must adjust its waste management practices to comply with EU directives, including targets to reduce biodegradable waste disposal in landfills, as outlined in its Waste Management Program 2022 - 2031. Cadmium and lead, two highly toxic heavy metals, that are present in municipal solid waste, can pose high environmental and human health threats if not properly managed. The research evaluates how different technologies for biodegradable waste treatment influence the transformation of cadmium and lead flows through waste management systems. Hence, two waste management scenarios were modelled and developed for the Republic of Serbia, where the flows of cadmium and lead are monitored. The results indicate the differences between quantities and concentrations of cadmium and lead emitted in environmental media, thus confirming the various impacts of different waste technologies on achieving the vital goal of waste management - protection of the human health and the environment. The research concludes the crucial role of the versatile approach, where the quality of waste management outputs are highlighted.

The beginning of the new millennium provokes governments and researchers to recognize the importance and the effect that Particulate Matter (PM) has on the whole environment. PM has been marked as one of the key ambient air pollutants, due to its high sorption ability. World Health Organization indicated PM present in ambient air as pollutant with adverse, acute and hazard effect on human health and built environment. The city of Novi Sad, Serbia is rapidly expanding, redefining architectural, urban and environmental matrices. Architectural spatial transformations - construction sites need to be considered as temporal unique pollution hot spots. Trend of active construction sites increasing number in Novi Sad affects the ambient air quality. Goal of the research is to emphasize PM pollution problem on the construction sites in Novi Sad and to illustrate and display the trends in mitigation measures application during 4-year period (2019-2022).