Is PM1 similar to PM2.5? A new insight into the association of PM1 and PM2.5 with children’s lung function

Yang, Mo; Lee, Hyewon; Bloom, Michael S.; Dharmagee, Shyamali C.; Morawska, Lidia; Heinrich, Joachim; Jalaludin, Bin; Markevychd, Iana; Knibbsf, Luke D; Lin, Shao; Lan, Steve Hung; Jalava, Pasi; Komppula, Mika; Roponen, Marjut; Hirvonen, Maija-Riitta; Guan, Qi-Hua; Liang, Zi-Mian; Yu, Hongyao; Hu, Liwen; Yang, Bo‐Yi; Zeng, Xiao‐Wen

doi:10.1016/j.envint.2020.106092

Cited by 55 publications

(29 citation statements)

References 31 publications

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“…The concentration of PM 2.5 range from 3.3 to 35 µg/m 3 , with a mean of 11.08 ± 4.53 µg/m 3 , which is slightly higher than the annual mean guideline set by the WHO (10 µg/m 3 ). 6) The PM 1 and PM 2.5 concentrations in 2019-2020 significant different (p < 0.001) from those in 2018-2019. The average concentrations of PM 1 and PM 2.5 were approximately 47 and 33% lower, respectively, in the 2019-2020 COVID-19 period than in the same period in 2018-2019.…”

Section: Experimental Sampling Sitementioning

confidence: 84%

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Impact of COVID-19 Outbreak on the Long-Range Transport of Common Air Pollutants in KUWAMS

Zhang

Yang

et al. 2021

Chem. Pharm. Bull.

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As a background sampling site in western Japan, the Kanazawa University Wajima Air Monitoring Station (KUWAMS) continuously observes the air pollutants, including PM 1 , PM 2.5 , organic carbon (OC) and element carbon (EC). Data for September 2019 to April 2020 were compared with data for September 2018 to April 2019. The mean concentrations of both PM 1 and PM 2.5 were 4.10 µg/m 3 (47%) and 5.82 µg/m 3 (33%) lower, respectively in the Coronavirus Disease 2019 (COVID-19) period (January to April) than in the same period in 2019. Notably, the average concentrations of both classes of particulate matter (PM) in the COVID-19 period were the lowest for that period in all years since 2016. OC and EC also considerably lower (by 69 and 63%, respectively) during the COVID-19 period than during the same period in 2019. All pollutants were then started to increase after the resumption of the work in 2020. The pollutant variations correspond to the measure implemented during the COVID-19 period, including the nationwide lockdown and work resumption. Furthermore, the reductions in the ratios PM 1 /PM 2.5 and OC/EC during COVID-19 period indicate lighter pollution and fewer emission sources. This analysis of the changes in the pollutant concentrations during the epidemic and non-epidemic periods illustrates the significance of the dominant pollution emissions at KUWAMS and the impact of pollution from China that undergoes long-range transport to KUWAMS.

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Section: Experimental Sampling Sitementioning

confidence: 84%

“…5) According to a WHO report, exposure to PM 2.5 causes 4.2 million people earlier deaths per year worldwide. 6) In the light of Yang et al, PM 1 is more hazardous than PM 2.5 , especially for children. Continuous inhalation and accumulation of PM 1 can cause cardiovascular diseases, lung cancer and chronic bronchitis, etc.…”

Section: Introductionmentioning

confidence: 99%

Impact of COVID-19 Outbreak on the Long-Range Transport of Common Air Pollutants in KUWAMS

Zhang

Yang

et al. 2021

Chem. Pharm. Bull.

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“…1F). Since PM1 was found to be more toxicologically dangerous than PM2.5 in terms of cytotoxicity and inflammation, and to have a greater association with pediatric lung dysfunction than PM2.5 (Jalava et al, 2015;Yang et al, 2020), it would be meaningful to determine the effect of plants on the reduction of PM1 in this study.…”

Section: Resultsmentioning

confidence: 99%

Comparison of the Particulate Matter Removal Capacity of 11 Herbaceous Landscape Plants

Kwon

Odsuren

Kim

et al. 2021

J. People Plants Environ

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Background and objective Particulate matter (PM) has a fatal effect on health. There have been many studies on the use of plants such as trees and shrubs as eco-friendly and sustainable biofilter for the removal of PM. In forming more green space, ground cover plants play an important role in multi-layered planting. This study was conducted to investigate the ability of plants to reduce PM, targeting Korean native ground cover plants with high availability in urban green spaces. Methods For 4 species of Asteraceae, 4 species of Liliaceae, and 3 species of Rosaceae, one species of plants at a time were placed in an acrylic chamber (800 × 800 × 1000 mm, L × W × H) modeling an indoor space. After the injection of PM, the amount of PM remaining in the chamber over time was investigated. Results For all three types of PM (PM10, PM2.5, PM1), significant difference occurred in the amount of PM remaining between plant species after 1 hour in the Liliaceae chamber, 3 hours in the Asteraceae chamber, and 5 hours in the Rosaceae chamber. With Liliaceae, the leaf area and the amount of PM remaining in the chamber showed a negative (−) correlation. With the Asteraceae and Rosaceae, there was a weak negative correlation between the leaf area and the amount of PM remaining in the chamber. Conclusion When using ground cover plants as a biofilter to remove PM, it is considered effective to select a species with a large total leaf area, especially for Liliaceae.

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“…Previous studies have documented that the continuing increase in PM 2.5 poses various health threats, such as premature mortality and excess morbidity, which provide significant information for measuring the harmful effects of ambient air pollution (S. Chen et al., 2020; S. Liu et al., 2020; Lubczyńska et al., 2017; Mortamais et al., 2021; Xue et al., 2019; Yang et al., 2020). The scientific assessment of PM 2.5 exposure risk is the foundation for these investigations.…”

Section: Discussionmentioning

confidence: 99%

Mapping Total Exceedance PM_2.5 Exposure Risk by Coupling Social Media Data and Population Modeling Data

Cao

Guo

et al. 2021

GeoHealth

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The PM2.5 exposure risk assessment is the foundation to reduce its adverse effects. Population survey‐related data have been deficient in high spatiotemporal detailed descriptions. Social media data can quantify the PM2.5 exposure risk at high spatiotemporal resolutions. However, due to the no‐sample characteristics of social media data, PM2.5 exposure risk for older adults is absent. We proposed combining social media data and population survey‐derived data to map the total PM2.5 exposure risk. Hourly exceedance PM2.5 exposure risk indicators based on population modeling (HEPEpmd) and social media data (HEPEsm) were developed. Daily accumulative HEPEsm and HEPEpsd ranged from 0 to 0.009 and 0 to 0.026, respectively. Three peaks of HEPEsm and HEPEpsd were observed at 13:00, 18:00, and 22:00. The peak value of HEPEsm increased with time, which exhibited a reverse trend to HEPEpsd. The spatial center of HEPEsm moved from the northwest of the study area to the center. The spatial center of HEPEpsd moved from the northwest of the study area to the southwest of the study area. The expansion area of HEPEsm was nearly 1.5 times larger than that of HEPEpsd. The expansion areas of HEPEpsd aggregated in the old downtown, in which the contribution of HEPEpsd was greater than 90%. Thus, this study introduced various source data to build an easier and reliable method to map total exceedance PM2.5 exposure risk. Consequently, exposure risk results provided foundations to develop PM2.5 pollution mitigation strategies as well as scientific supports for sustainability and eco‐health achievement.

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Is PM1 similar to PM2.5? A new insight into the association of PM1 and PM2.5 with children’s lung function

Cited by 55 publications

References 31 publications

Impact of COVID-19 Outbreak on the Long-Range Transport of Common Air Pollutants in KUWAMS

Impact of COVID-19 Outbreak on the Long-Range Transport of Common Air Pollutants in KUWAMS

Comparison of the Particulate Matter Removal Capacity of 11 Herbaceous Landscape Plants

Mapping Total Exceedance PM_2.5 Exposure Risk by Coupling Social Media Data and Population Modeling Data

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Is PM1 similar to PM2.5? A new insight into the association of PM1 and PM2.5 with children’s lung function

Cited by 55 publications

References 31 publications

Impact of COVID-19 Outbreak on the Long-Range Transport of Common Air Pollutants in KUWAMS

Impact of COVID-19 Outbreak on the Long-Range Transport of Common Air Pollutants in KUWAMS

Comparison of the Particulate Matter Removal Capacity of 11 Herbaceous Landscape Plants

Mapping Total Exceedance PM2.5 Exposure Risk by Coupling Social Media Data and Population Modeling Data

Contact Info

Product

Resources

About

Mapping Total Exceedance PM_2.5 Exposure Risk by Coupling Social Media Data and Population Modeling Data