With rapid economic development and urbanization, China has suffered from severe and persistent air pollution during the past years. In the work, the hourly data of PM, PM, SO, NO, CO, and O in all of the prefecture-level cities (336 cities) during 2015-2016 were collected to uncover the spatiotemporal variations and influential factors of these pollutants in China. The average concentrations of PM, PM, SO, NO, and CO decreased by 19.32%, 15.34%, 29.30%, 9.39%, and 8.00% from 2015 to 2016, suggesting the effects of efficient control measurements during this period. On the contrary, the O concentration increased by 4.20% during the same period, which mainly owed to high volatile organic compounds (VOCs) loading. The concentrations of PM, PM, SO, CO and NO showed the highest and the lowest ones in winter and summer, respectively. However, the O concentration peaked in summer, followed by ones in spring and autumn, and presented the lowest one in winter. All of the pollutants exhibited significantly weekly and diurnal cycle in China. PM, PM, SO, CO and NO presented the higher concentrations on weekdays than those at weekends, all of which showed the bimodal pattern with two peaks at late night (21:00-22:00) and in morning (9:00-10:00), respectively. However, the O concentration exhibited the highest value around 15:00. The statistical analysis suggested that the PM, PM, and SO concentrations were significantly associated with precipitation (Prec), atmosphere temperature (T), and wind speed (WS). The CO and NO concentrations displayed the significant relationship with T, while the O concentration was closely linked to the sunshine duration (Tsun) and relative humidity (RH). T and WS were major factors affecting the accumulation of PM and gaseous pollutants at a national scale. At a spatial scale, Prec and T played the important roles on the PM distribution in Northeast China, and the effect of Prec on CO concentration decreased from Southeast China to Northwest China. The results shown herein provide a scientific insight into the meteorology impacts on air pollution over China.
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http://dx.doi.org/10.1016/j.scitotenv.2018.08.181 | DOI Listing |
Heliyon
January 2025
School of Architecture, Tianjin University, 300072, Tianjin, China.
Air pollution has become a major challenge to global urban sustainable development, necessitating urgent solutions. Meteorological variables are key determinants of air quality; however, research on their impact across different urban gradients remains limited, and their mechanisms are largely unexplored. This study investigates the dynamic effects of meteorological variables on air quality under varying levels of urbanization using Kaohsiung City, Taiwan, as a case study.
View Article and Find Full Text PDFIndian J Occup Environ Med
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Department of Electronics, Sri Venkateswara College, University of Delhi, New Delhi, India.
Introduction: Construction sites generate high levels of air pollution, contributing to more than 4% of particulate matter in the atmosphere. Literature indicates that on-site pollution is an important factor that contributes to lung impairments in construction workers. Chronic obstructive pulmonary disease (COPD) and acute respiratory distress syndrome (ADRS) are known to be exacerbated because of exposure to a variety of construction pollutants mainly particulate matter (PM10, PM2.
View Article and Find Full Text PDFInt J Environ Health Res
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School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
Myocardial infarction (MI) ranks as one of the primary causes of global disabilities and disease deaths. The association between fine particulate matter (PM2.5) and MI has gained attention in recent years.
View Article and Find Full Text PDFPaediatr Perinat Epidemiol
January 2025
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
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View Article and Find Full Text PDFInterest in carbon dioxide (CO) sensors is growing rapidly due to the increasing awareness of the link between air quality and health. Indoor, high CO levels signal poor ventilation, and outdoor the burning of fossil fuels and its associated pollution. CO gas sensors based on integrated optical waveguides are a promising solution due to their excellent gas sensing selectivity, compact size, and potential for mass manufacturing large volumes at low cost.
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