Article ; Online: Characterization of Atmospheric Particulate Matter in Oil-Resource Cities and its Impact on Health
E3S Web of Conferences, Vol 393, p
Daqing City, Northeast China
2023 Volume 01022
Abstract: Atmospheric pollution can affect human production life and physical and mental health to a great extent. In this paper, the hourly pollutant monitoring data from five state-controlled automatic atmospheric monitoring stations in Daqing City from 2017 to ... ...
Abstract | Atmospheric pollution can affect human production life and physical and mental health to a great extent. In this paper, the hourly pollutant monitoring data from five state-controlled automatic atmospheric monitoring stations in Daqing City from 2017 to 2021 are collected to analyze the temporal and spatial variation patterns of CO, SO2, NO2, PM2.5, PM10, O3. And to assess the health risks of atmospheric particulate matter. The HYSPLIT model is applied to analyze air pollutants' transport pathways and the potential source areas of atmospheric particulate matter with the PSCF model. The results show that the concentrations of SO2 and NO2 are higher in the north of Daqing and the concentrations of pollutants generally show a decreasing trend with time. The hazard quotient (HQ) for atmospheric particulate matter, which is slightly above the safe range set by the EPA, is higher in winter and spring. After principal component analysis, CO, NO2, and PM10 are the main factors affecting PM2.5. In the summer, the main urban area's air pollution is mostly influenced by the southwest pollution trajectory. In other seasons, the northwest route predominantly regulates the regional transfer of contaminants. The key regions that could be the sources of atmospheric particulate matter include North China, Inner Mongolia, Mongolia, and Russia. |
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Keywords | Environmental sciences ; GE1-350 |
Subject code | 333 |
Language | English |
Publishing date | 2023-01-01T00:00:00Z |
Publisher | EDP Sciences |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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