Temporal trends of particle gross -activity and PM2.5 mass concentrations in the USA during 2001-2017

AIR QUALITY ATMOSPHERE AND HEALTH(2023)

Cited 0|Views7
No score
Abstract
Recent studies conducted in the USA have shown that adverse health effects of fine particulate matter (PM2.5) persist at levels below the national air quality standards. More recently, particle radioactivity has also been associated with adverse health effects. However, the importance of particle radioactivity at low PM2.5 levels has not been thoroughly explored. The present paper investigates the temporal trends and the relationship of particle gross beta-activity (PM-beta) and PM2.5 mass in the 48 states of the contiguous USA during the period of 2001-2017. With the implementation of stringent air pollution control policies, national ambient PM2.5 concentrations decreased by 38.5% during this period. However, a smaller decrease of 9.4% was observed for PM-beta, while the mean PM-beta/PM2.5 ratio increased by 49.1%. PM-beta is mostly associated with radon emissions and its progeny, which do not change much with time. The largest PM2.5 and PM-beta reductions were observed in the Southeast, while the smallest were found in the West. When the aggregated PM-beta to PM2.5 ratio is stratified by PM2.5 levels, the ratio was found to be highest when PM2.5 is <3 mu g/m(3), with a median PM-beta to PM2.5 ratio of 0.77 (0.64-0.88; 25th-75th percentiles). Overall, when not stratified by PM2.5 levels, the greatest state-wide overall PM-beta /PM2.5 ratios were found in Wyoming (0.69) and South Dakota (0.51), areas with higher radon, while the lowest (0.17) were in Delaware followed by New Jersey (0.18). These results indicate that the ratio of ambient particle radioactivity to particle mass concentration typically is higher at low PM2.5 levels, and consequently, the toxicity per unit mass is expected to be higher.
More
Translated text
Key words
Air quality, Ambient PM2 5, Particle radioactivity, Toxicity, Trend analysis
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined