| Title | Exploration of PM2.5 sources on the regional scale in the Pearl River Delta based on ME-2 modeling |
| Authors | Huang, Xiao-Feng Zou, Bei-Bing He, Ling-Yan Hu, Min Prevot, Andre S. H. Zhang, Yuan-Hang |
| Affiliation | Peking Univ, Sch Environm & Energy, Key Lab Urban Habitat Environm Sci & Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China. Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100871, Peoples R China. Paul Scherrer Inst, CH-5232 Villigen, Switzerland. |
| Keywords | POSITIVE MATRIX FACTORIZATION FINE PARTICULATE MATTER AEROSOL MASS-SPECTROMETER SOURCE-APPORTIONMENT CHEMICAL-COMPOSITION SOUTHERN CHINA HAZE EVENTS HONG-KONG MULTILINEAR ENGINE SUBMICRON AEROSOLS |
| Issue Date | 2018 |
| Publisher | ATMOSPHERIC CHEMISTRY AND PHYSICS |
| Citation | ATMOSPHERIC CHEMISTRY AND PHYSICS. 2018, 18(16), 11563-11580. |
| Abstract | The Pearl River Delta (PRD) of China, which has a population of more than 58 million people, is one of the largest agglomerations of cities in the world and had severe PM2.5 pollution at the beginning of this century. Due to the implementation of strong pollution control in recent decades, PM2.5 in the PRD has continuously decreased to relatively lower levels in China. To comprehensively understand the current PM2.5 sources in the PRD to support future air pollution control strategies in similar regions, we performed regional-scale PM2.5 field observations coupled with a state-of-the-art source apportionment model at six sites in four seasons in 2015. The regional annual average PM2.5 concentration based on the 4-month sampling was determined to be 37 mu g m(-3), which is still more than 3 times the WHO standard, with organic matter (36.9 %) and SO42- (23.6 %) as the most abundant species. A novel multilinear engine (ME-2) model was first applied to a comprehensive PM2.5 chemical dataset to perform source apportionment with predetermined constraints, producing more environmentally meaningful results compared to those obtained using traditional positive matrix factorization (PMF) modeling. The regional annual average PM2.5 source structure in the PRD was retrieved to be secondary sulfate (21 %), vehicle emissions (14 %), industrial emissions (13 %), secondary nitrate (11 %), biomass burning (11 %), secondary organic aerosol (SOA, 7 %), coal burning (6 %), fugitive dust (5 %), ship emissions (3 %) and aged sea salt (2 %). Analyzing the spatial distribution of PM2.5 sources under different weather conditions clearly identified the central PRD area as the key emission area for SO2, NOx, coal burning, biomass burning, industrial emissions and vehicle emissions. It was further estimated that under the polluted northerly air flow in winter, local emissions in the central PRD area accounted for approximately 45% of the total PM2.5, with secondary nitrate and biomass burning being most abundant; in contrast, the regional transport from outside the PRD accounted for more than half of PM2.5, with secondary sulfate representing the most abundant transported species. |
| URI | http://hdl.handle.net/20.500.11897/517793 |
| ISSN | 1680-7316 |
| DOI | 10.5194/acp-18-11563-2018 |
| Indexed | SCI(E) |
| Appears in Collections: | 环境与能源学院 环境科学与工程学院 环境模拟与污染控制国家重点联合实验室 |
