ArticlePloS one2018
Spatial-seasonal characteristics and critical impact factors of PM2.5 concentration in the Beijing-Tianjin-Hebei urban agglomeration.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Indoor Particulate Matter in Urban Households: Sources, Pathways, Characteristics, Health Effects, and Exposure Mitigation.International journal of environmental research and public health · 2021Pooled it
- Environmental Exposome and Atrial Fibrillation: Emerging Evidence and Future Directions.Circulation research · 2024Review
- Effects of air pollution control policies on intracerebral hemorrhage mortality among residents in Tianjin, China.BMC public health · 2023Article
- Spatiotemporal Evolution and Driving Forces of PMInternational journal of environmental research and public health · 2023Article
- Review
- Historical rice farming explains faster mask use during early days of China's COVID-19 outbreak.Current research in ecological and social psychology · 2022Article
- Spatiotemporal variation and determinants of population's PMEnvironmental science and pollution research international · 2020Article
- Airborne Particulates Affect Corneal Homeostasis and Immunity.Investigative ophthalmology & visual science · 2020Article
- Estimation of ground-level PM2.5 concentration using MODIS AOD and corrected regression model over Beijing, China.PloS one · 2020Article
- Spatial Econometric Analysis of the Impact of Socioeconomic Factors on PMInternational journal of environmental research and public health · 2019Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As China's political and economic centre, the Beijing-Tianjin-Hebei (BTH) urban agglomeration experiences serious environmental challenges on particulate matter (PM) concentration, which results in fundamental or irreparable damages in various socioeconomic aspects. This study investigates the seasonal and spatial distribution characteristics of PM2.5 concentration in the BTH urban agglomeration and their critical impact factors. Spatial interpolation are used to analyse the real-time monitoring of PM2.5 data in BTH from December 2013 to May 2017, and partial least squares regression is applied to investigate the latest data of potential polluting variables in 2015. Several important findings are obtained: (1) Notable differences exist amongst PM2.5 concentrations in different seasons; January (133.10 mg/m3) and December (120.19 mg/m3) are the most polluted months, whereas July (38.76 mg/m3) and August (41.31 mg/m3) are the least polluted months. PM2.5 concentration shows a periodic U-shaped variation pattern with high pollution levels in autumn and winter and low levels in spring and summer. (2) In terms of spatial distribution characteristics, the most highly polluted areas are located south and east of the BTH urban agglomeration, and PM2.5 concentration is significantly low in the north. (3) Empirical results demonstrate that the deterioration of PM2.5 concentration in 2015 is closely related to a set of critical impact factors, including population density, urbanisation rate, road freight volume, secondary industry gross domestic product, overall energy consumption and industrial pollutants, such as steel production and volume of sulphur dioxide emission, which are ranked in terms of their contributing powers. The findings provide a basis for the causes and conditions of PM2.5 pollution in the BTH regions. Viable policy recommendations are provided for effective air pollution treatment.
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