Z Cheng, L Li, J Liu - Ecological Indicators, 2017 - Elsevier
Exploring exactly where air pollution comes from, and identifying the key factors that influence it, can provide a scientific basis for the rational formulation and effective …
CY Hsu, HC Chiang, SL Lin, MJ Chen, TY Lin… - Science of the Total …, 2016 - Elsevier
This study investigated seasonal variations in PM 10 and PM 2.5 mass and associated trace metal concentrations in a residential area in proximity to the crude oil refinery plants and …
L Yu, G Wang, R Zhang, L Zhang, Y Song, B Wu… - Aerosol and air quality …, 2013 - aaqr.org
ABSTRACTDaily 24-hour PM2. 5 samples were collected continuously from January 1 to December 31, 2010. Elemental concentrations from Al to Pb were obtained using particle …
ML Bell, K Ebisu, BP Leaderer, JF Gent… - Environmental …, 2014 - ehp.niehs.nih.gov
Background: Epidemiological studies have demonstrated associations between short-term exposure to PM2. 5 and hospital admissions. The chemical composition of particles varies …
W Li, KS Dorans, EH Wilker, MB Rice… - … , and vascular biology, 2017 - Am Heart Assoc
Objective—The objective of this study is to examine associations between short-term exposure to ambient air pollution and circulating biomarkers of systemic inflammation in …
Background Short‐term exposure to elevated air pollution has been associated with higher risk of acute cardiovascular diseases, with systemic oxidative stress induced by air pollution …
Abstract Positive Matrix Factorization (PMF) was utilized to quantify sources of ambient PM 2.5 in central Los Angeles (LA) and Rubidoux, using the Speciation Trends Network data …
To identify major sources of ambient fine particulate matter (PM 2.5, dp< 2.5 μm) and quantify their contributions in the state of California, a positive matrix factorization (PMF) …