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 AbstractAllelopathic effects of sesame extracts on seed germination of moso bamboo and identification of potential allelochemicals    Next AbstractMultiple Ant Colony Algorithm Combining Community Relationship Network »

Environ Sci Technol


Title:Comprehensive Assessment for the Impacts of S/IVOC Emissions from Mobile Sources on SOA Formation in China
Author(s):Zhao J; Lv Z; Qi L; Zhao B; Deng F; Chang X; Wang X; Luo Z; Zhang Z; Xu H; Ying Q; Wang S; He K; Liu H;
Address:"State Key Joint Laboratory of ESPC, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, International Joint Laboratory on Low Carbon Clean Energy Innovation, School of Environment, Tsinghua University, Beijing100084, China. State Key Laboratory of Plateau Ecology and Agriculture, College of Eco-environmental Engineering, Qinghai University, Xining810016, China. Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas77843, United States"
Journal Title:Environ Sci Technol
Year:2022
Volume:20221118
Issue:23
Page Number:16695 - 16706
DOI: 10.1021/acs.est.2c07265
ISSN/ISBN:1520-5851 (Electronic) 0013-936X (Linking)
Abstract:"Semivolatile/intermediate-volatility organic compounds (S/IVOCs) from mobile sources are essential SOA contributors. However, few studies have comprehensively evaluated the SOA contributions of S/IVOCs by simultaneously comparing different parameterization schemes. This study used three SOA schemes in the CMAQ model with a measurement-based emission inventory to quantify the mobile source S/IVOC-induced SOA (MS-SI-SOA) for 2018 in China. Among different SOA schemes, SOA predicted by the 2D-VBS scheme was in the best agreement with observations, but there were still large deviations in a few regions. Three SOA schemes showed the peak value of annual average MS-SI-SOA was up to 0.6 +/- 0.3 mug/m(3). High concentrations of MS-SI-SOA were detected in autumn, while the notable relative contribution of MS-SI-SOA to total SOA was predicted in the coastal areas in summer, with a regional average contribution up to 20 +/- 10% in Shanghai. MS-SI-SOA concentrations varied by up to 2 times among three SOA schemes, mainly due to the discrepancy in SOA precursor emissions and chemical reactions, suggesting that the differences between SOA schemes should also be considered in modeling studies. These findings identify the hotspot areas and periods for MS-SI-SOA, highlighting the importance of S/IVOC emission control in the future upgrading of emission standards"
Keywords:Vehicle Emissions/analysis Aerosols/analysis China *Volatile Organic Compounds Seasons *Air Pollutants/analysis S/IVOCs SOA formation SOA schemes mobile sources numerical model;
Notes:"MedlineZhao, Junchao Lv, Zhaofeng Qi, Lijuan Zhao, Bin Deng, Fanyuan Chang, Xing Wang, Xiaotong Luo, Zhenyu Zhang, Zhining Xu, Hailian Ying, Qi Wang, Shuxiao He, Kebin Liu, Huan eng Research Support, Non-U.S. Gov't 2022/11/19 Environ Sci Technol. 2022 Dec 6; 56(23):16695-16706. doi: 10.1021/acs.est.2c07265. Epub 2022 Nov 18"

 
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 29-06-2024