Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractDoes the last 20 years paradigm of clinical research using volatile organic compounds to non-invasively diagnose cancer need to change? Challenges and future direction    Next Abstract"The Effects of Milkweed Induced Defense on Parasite Resistance in Monarch Butterflies, Danaus plexippus" »

Sci Total Environ


Title:New insight into PM(2.5) pollution patterns in Beijing based on one-year measurement of chemical compositions
Author(s):Tan T; Hu M; Li M; Guo Q; Wu Y; Fang X; Gu F; Wang Y; Wu Z;
Address:"State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Beijing Innovation Center for Engineering Sciences and Advanced Technology, Peking University, Beijing, China. Electronic address: minhu@pku.edu.cn"
Journal Title:Sci Total Environ
Year:2018
Volume:20171201
Issue:
Page Number:734 - 743
DOI: 10.1016/j.scitotenv.2017.11.208
ISSN/ISBN:1879-1026 (Electronic) 0048-9697 (Linking)
Abstract:"In recent years, air pollution has become a major concern in China, especially in the capital city of Beijing. Haze events occur in Beijing over all four seasons, exhibiting distinct characteristics. In this study, the typical evolution patterns of atmospheric particulate matter with a diameter of less than 2.5mum (PM(2.5)) in each season were illustrated by episode-based analysis. In addition, a novel method was developed to elucidate the driving species of pollution, which is the largest contributor to the incremental PM(2.5) (DeltaPM(2.5)), not PM(2.5). This method revealed a temporal variation of the driving species throughout the year: nitrate-driven spring, sulfate-driven summer, nitrate-driven early fall, and organic matters (OM)-driven late fall and winter. These results suggested that primary organic particles or volatile organic compounds emissions were dominant in the heating season due to residential heating, while NOx and SO(2) emissions dominated in the other seasons. Besides, nitrate formation seemed more significant than sulfate formation during severe pollution episodes. It was also found that the pollution formation mechanism in the winter showed some unique features in comparison with the other seasons: aqueous reactions were more important in the winter, while multiple pathways coexisted in the other seasons. Furthermore, this study confirmed that the PM(2.5) in Beijing was moderately acidic despite a fully neutralized system. In addition, the acidity variation during pollution episodes displayed different patterns between seasons and was driven by both the variation of aerosol water and chemical compositions. These results provide a new perspective to understand the characteristics and mechanisms of aerosol pollution in Beijing. However, more accurate measurements are necessary for effective air pollution control that depends on the seasonal variation of fine particle formation in Beijing and the surrounding areas"
Keywords:Aerosol acidity Aqueous reactions Chemical compositions Fine particles Meteorological parameters;
Notes:"PubMed-not-MEDLINETan, Tianyi Hu, Min Li, Mengren Guo, Qingfeng Wu, Yusheng Fang, Xin Gu, Fangting Wang, Yu Wu, Zhijun eng Netherlands 2017/12/05 Sci Total Environ. 2018 Apr 15; 621:734-743. doi: 10.1016/j.scitotenv.2017.11.208. Epub 2017 Dec 1"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 05-12-2024