In recent years, serious pollutional haze occurs in the mainland of China thanks to the development of urbanization and industrialization. There is a close relationship between air pollution and the occurrence and development of chronic obstructive pulmonary disease (COPD), but there are some new characteristics in some aspects of COPD associated with pollutional haze compared with COPD induced by traditional physical and chemical factors. This article attempts to summarize the new progress from these new features of COPD related to pollutional haze, focus on etiology, epidemiology, pathogenesis, pathology, biological markers and therapy.
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http://dx.doi.org/10.3978/j.issn.2072-1439.2015.11.62 | DOI Listing |
RSC Adv
January 2025
Institute of Resources and Environmental Engineering, Shanxi University, Shanxi Yellow River Laboratory Taiyuan China
Coal combustion generates soot-type air pollution, and NO, as a typical pollutant, is the main haze-causing pollutant. The degradation of NO by means of photocatalytic superhydrophobic multifunctional coatings is both durable and economical. The precipitation method was employed to create a p-n type BiOBr/α-FeO photocatalytic binary system.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China.
Nitrogen-containing organic compounds (NOCs) in frost serve as a critical pathway for atmospheric nitrogen deposition, significantly impacting the biogeochemical cycles of nitrogen. However, the molecular characteristics of NOCs in frost and their deposition fluxes are scarcely studied. In this work, frost samples, collected in rural Northeast China in the winter of 2023, were analyzed using nontargeted ultrahigh performance liquid chromatography-orbitrap mass spectrometry (UHPLC-Orbitrap MS) to reveal their content in nitrogen-containing organic compounds (NOCs) and explore their wet deposition fluxes.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
Aerosol ammonium (NH) is a critical component of particulate matter that affects air pollution, climate, and human health. Isotope-based source apportionment of NH is essential for ammonia (NH) mitigation but the role of kinetic vs equilibrium controls on nitrogen isotope (δN) fractionation between NH and NH remains unresolved. Based on concurrent measurements of NH and NH in winter Beijing, we observed that the difference of δN between NH and NH on clean days (3.
View Article and Find Full Text PDFEnviron Pollut
December 2024
Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, 50200, Thailand; Biomedical Engineering and Innovation Research Center, Chiang Mai University, Chiang Mai, 50200, Thailand. Electronic address:
Exposure to ambient air pollution is associated with several noncommunicable diseases, and it adversely affects the respiratory system and other organ systems. Several studies have investigated the underlying mechanisms of biological response to air pollutants using conventional techniques, but there is a lack of research on the effects of air pollution at the cellular level. This study developed a dual system that combines PM (particulate matter <2.
View Article and Find Full Text PDFJ Environ Manage
January 2025
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.
Optimizing an emergency air pollution control strategy for haze events presents a significant challenge due to the extensive computational demands required to quantify the complex nonlinearity associated with controls on diverse air pollutants and regional sources. In this study, we developed a forecasting tool for emergency air pollution control strategies based on a predictive response surface model that quantifies PM responses to emission changes from different pollutants and regions. This tool is equipped to assess the effectiveness of emergency control measures corresponding to various air pollution alerts and to formulate an optimized control strategy aimed at specific PM targets.
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