Spatiotemporal Distribution and Evolution of Air Pollutants Based on Comparative Analysis of Long-Term Monitoring Data and Snow Samples in Petroșani Mountain Depression, Romania DOI Open Access
Csaba Lorinț, Eugen Traistă, Adrian Florea

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3141 - 3141

Published: April 2, 2025

Air quality is an essential factor for human health and ecosystem balance, but in regions like Petroșani Mountain Depression, air pollution continues to be a significant challenge. This area, marked by decades of coal mining, confronted with high concentrations pollutants, influenced activities the specific geography climate. study aims compare instrumental measurements snow sample analysis, as sustainable alternative method. Specifically, it examines spatiotemporal distribution evolution utilizing long-term monitoring data extensive sampling network (42 points) both snow, provide thorough understanding dynamics area. The experimental part this focused on determining VOCs PM air, dissolved ions (sulfate, calcium, magnesium) suspended solids snow. results highlight correlations between sources atmospheric mountain depressions, while also analyzing efficiency instruments used collection. emphasizes that, although methods precise detailed measurements, their implementation isolated presents challenges. Therefore, approaches such analysis can represent more efficient option these regions.

Language: Английский

Spatiotemporal Distribution and Evolution of Air Pollutants Based on Comparative Analysis of Long-Term Monitoring Data and Snow Samples in Petroșani Mountain Depression, Romania DOI Open Access
Csaba Lorinț, Eugen Traistă, Adrian Florea

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3141 - 3141

Published: April 2, 2025

Air quality is an essential factor for human health and ecosystem balance, but in regions like Petroșani Mountain Depression, air pollution continues to be a significant challenge. This area, marked by decades of coal mining, confronted with high concentrations pollutants, influenced activities the specific geography climate. study aims compare instrumental measurements snow sample analysis, as sustainable alternative method. Specifically, it examines spatiotemporal distribution evolution utilizing long-term monitoring data extensive sampling network (42 points) both snow, provide thorough understanding dynamics area. The experimental part this focused on determining VOCs PM air, dissolved ions (sulfate, calcium, magnesium) suspended solids snow. results highlight correlations between sources atmospheric mountain depressions, while also analyzing efficiency instruments used collection. emphasizes that, although methods precise detailed measurements, their implementation isolated presents challenges. Therefore, approaches such analysis can represent more efficient option these regions.

Language: Английский

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