Surface-level PM10 distribution was estimated from the satellite aerosol optical depth (AOD) products, taking the account of vertical profiles and hygroscopicity of aerosols over Jeju, Korea during March 2008 and October 2009. In this study, MODIS AOD data from the Terra and Aqua satellites were corrected with aerosol extinction profiles and relative humidity data. PBLH (Planetary Boundary Layer Height) was determined from MPLNET lidar-derived aerosol extinction coefficient profiles. Through statistical analysis, better agreement in correlation (R = 0.82) between the hourly PM10 concentration and hourly average Sunphotometer AOD was the obtained when vertical fraction method (VFM) considering Haze Layer Height (HLH) and hygroscopic growth factor f(RH) was used. The validity of the derived relationship between satellite AOD and surface PM10 concentration clearly demonstrates that satellite AOD data can be utilized for remote sensing of spatial distribution of regional PM10 concentration.
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http://dx.doi.org/10.1016/j.chemosphere.2015.09.040 | DOI Listing |
Front Public Health
January 2025
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Introduction: Facing Mount Tai in the south and the Yellow River in the north, Zibo District is an important petrochemical base in China. The effect of air pollution on cardiovascular diseases (CVDs) in Zibo was unclear.
Methods: Daily outpatient visits of common CVDs including coronary heart disease (CHD), stroke, and arrhythmia were obtained from 2019 to 2022 in Zibo.
Eur Heart J Acute Cardiovasc Care
January 2025
Department of Emergency Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen 518035, Guangdong, China.
Background: We aimed to analyze the yet unclear correlation between air pollutant concentrations (AP) and out-of-hospital cardiac arrest (OHCA) in Shenzhen, China.
Methods: A 5-year time series analysis of all OHCA events reported to the Shenzhen Emergency Center was conducted. Quasi-Poisson regression, controlling for meteorological variables (daily mean relative temperature and humidity) with multivariable fractional polynomial and using Fourier series to adjust for long-term trends and account for periodic patterns, was used to assess the association among particulate matter of 2.
Arch Gerontol Geriatr
January 2025
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore 117549, Singapore. Electronic address:
Background: Both air pollution and low socioeconomic status (SES) are associated with worse cognitive function. The extent to which low SES may compound the adverse effect of air pollution on cognitive function remains unclear.
Methods: 7,087 older adults aged 65 and above were included from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and followed up in 4 waves during 2008-2018.
Environ Pollut
January 2025
Oncologic Network, Prevention and Research Institute (ISPRO) - Health Service of Tuscany, Via Cosimo il Vecchio 2, Florence, 50139, Italy.
Outdoor air pollution is a significant risk factor for tracheal, bronchus, and lung (TBL) cancer. This study employs a Bayesian approach to evaluate TBL cancer mortality due to air pollution in Tuscany, Central Italy, in 2023. Using locally validated data, we assessed the impact of fine particulate matter (PM and PM) and nitrogen dioxide (NO) in terms of attributable deaths and years of life lost (YLL).
View Article and Find Full Text PDFEnviron Res
January 2025
Center for Medical and Health Technology Assessment (CM-HTA), Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand 50200. Electronic address:
The association between different air pollutants and Type 2 Diabetes Mellitus (T2DM) is a growing topic of interest in public health research. This umbrella review and meta-analysis aimed to consolidate current literature on the association between various outdoor air pollutants and T2DM. Subgroups and dose-response relationships were also analyzed to further quantify the association, especially by the factors such as the type of pollutants, duration of exposure, and geographical variation, etc.
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