Understanding the dispersion behaviors of radioactive particles in the atmospheric boundary layer is critical for assessing their environmental impact from nuclear facility emissions. Wind tunnels have been extensively employed to investigate wind field characteristics and atmospheric dispersion behavior of particles based on scaled similarity principles. Nevertheless, quantitative criteria governing particles similarity between wind tunnel and real atmospheric boundary layer remains largely unexplored. Here, a coupled computational fluid dynamics and discrete particle model approach was employed to quantify particles concentration distribution validated by wind tunnel experiments. Quantitative validation results revealed remarkable consistency between optimized numerical model and wind tunnel experiments for particles with three different diameters. More importantly, a similarity principle governing particles dispersion between wind tunnel and real atmospheric boundary layer environment was established via comprehensive quantitative comparison of dimensionless concentration fields. This principle revealed the scaling ratio of particle aerodynamic diameter is proportional to the one-sixth power of the spatial scale ratio when performing the wind tunnel particle dispersion experiment. Further discussion showed wind velocity has no obvious effect on the similarity principle of particles. Besides, the sphericality of particles would have an impact on the similarity principle for large size particles. This study provides fundamental data to validate particles dispersion model and guidelines to perform particle dispersion experiment in the wind tunnel system.
This paper explores the sources of radon in Capodifiume lake located in the Paestum Plain of Campania, Italy, its behavior within these aquatic systems, and the potential environmental and health impacts associated with radon in lake waters. While radon is commonly studied in the context of indoor air pollution and groundwater contamination, its presence and behavior in lacustrine environments (lakes) also merit significant attention. Assessing the risk associated with radon exposure in environmental settings, including lakes and other bodies of water, is crucial for effective risk management. Furthermore, the study includes the determination of radionuclide activity in soil and plant samples from Capodifiume Lake, performed by using gamma spectrometry. This methodology yields valuable data for assessing the radiological impacts in the lake area. The ERICA (Environmental Risk from Ionizing Contaminants: Assessment and Management) tool is an integrated software system designed to assess the radiological risks to both human health and the environment and provides a comprehensive framework for radiological risk estimation and management, ensuring that both human health and ecological integrity are safeguarded. By integrating radon concentration data, ecological risk assessments, and radionuclide activity analysis, this research offers a holistic approach to understanding and managing radioecological risks in lacustrine environments. The findings underscore the necessity of regular monitoring and the implementation of effective mitigation strategies to protect public health and ensure environmental safety.
Urban forests contribute significantly to human well-being and climate resilience, yet they may also act as reservoirs of contaminants such as radionuclides, heavy metals, and persistent organic pollutants (POPs). These pollutants accumulate in soils and can pose chronic exposure risks to surrounding communities. This study quantified radionuclides, heavy metals and POPs in soils of the protected Mount Avala forest near Belgrade, Serbia, and evaluated the associated health risks. Natural radionuclide activities exceeded the global averages, particularly for 40K, while 137Cs behavior appeared to be highly influenced by site-specific forest conditions and post-depositional processes. Mean radiological excess lifetime cancer risk (ELCR) was ∼60 % above the global average. Strong correlations among 226Ra, 232Th, Co, and Ni indicate a predominantly lithogenic origin, whereas the strong correlation between 137Cs and DDE suggests similar dynamics of these contaminants under forest-specific conditions. The homogeneous distribution of 137Cs and other surface-deposited contaminants indicates downward migration and redistribution over time, driven by post-depositional processes. Soils at AT6 showed extreme enrichment in As and Pb, whereas AT8 exhibited elevated PCB 52 and DDT metabolites. While radiological hazard indices remained within safety limits, certain metals and POPs exceeded non-carcinogenic and carcinogenic intervention criteria at identified hotspots. Spatial heterogeneity in pollutant concentrations reflects both geological controls and localized anthropogenic inputs. Integrating radionuclide- and contaminant-focused monitoring, hotspot-targeted remediation, and risk-informed urban planning is essential to ensure that urban green infrastructure remains safe, sustainable, and health-supportive.

