Shaodong Xie

TL;DR: In this article, positive matrix factorization (PMF) was used to apportion sources of PM2.5, and eight sources were identified: biomass burning (11%), secondary sulfates (17%), secondary nitrates (14%), coal combustion (19%), industry (6%), motor vehicles (6), road dust (9%), and yellow dust.

TL;DR: Source apportionment of fine particulate matter in Beijing, China, was determined using two eigenvector models, principal component analysis/absolute principal component scores (PCA/APCS) and UNMIX and the results were comparable to previous estimate using the positive matrix factorization (PMF) and chemical mass balance (CMB) receptor models.

TL;DR: The results suggest that O3 formation is VOC-limited in major urban areas of China, and more efficient OFP-based and localized VOC control measures should be implemented, instead of the current mass- based and nationally uniform policies.

TL;DR: The relative incremental reactivity (RIR) results demonstrate that anthropogenic VOCs reduction is the most efficient way to mitigate ozone pollution at all sites, of which alkenes dominate >50% of the ozone production.

TL;DR: In this paper, multi-year inventories of vehicular emissions at a high spatial resolution of 40 km×40 km were established in China using the GIS methodology for the period 1980-2005, based on provincial statistical data from yearbooks regarding vehicles and roads, and on the emission factors for each vehicle category in each province calculated by COPERT III program.