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 AbstractPredicting the gas-phase concentration of semi-volatile organic compounds from airborne particles: Application to a French nationwide survey    Next AbstractSemi-volatile organic compounds in French dwellings: An estimation of concentrations in the gas phase and particulate phase from settled dust »

Environ Monit Assess


Title:Speciated VOCs emission estimate for a typical petrochemical manufacturing plant in China using inverse-dispersion calculation method
Author(s):Wei W; Wang Y; Yang G; Yue L; Cheng S;
Address:"Department of Environmental Science and Engineering, Beijing University of Technology, Beijing, 100124, China. weiwei@bjut.edu.cn. Key Laboratory of Beijing on Regional Air Pollution Control, Beijing, 100124, China. weiwei@bjut.edu.cn. Department of Environmental Science and Engineering, Beijing University of Technology, Beijing, 100124, China. Key Laboratory of Beijing on Regional Air Pollution Control, Beijing, 100124, China"
Journal Title:Environ Monit Assess
Year:2018
Volume:20180707
Issue:8
Page Number:451 -
DOI: 10.1007/s10661-018-6834-9
ISSN/ISBN:1573-2959 (Electronic) 0167-6369 (Linking)
Abstract:"Volatile organic compounds (VOCs) play a key role in air pollution of China. Among various sources, petrochemical industry is one of the important contributors, but its VOC emission estimate still exists a big uncertainty. Therefore, this study developed an inverse-dispersion calculation method (IDM), and applied it in a typical petrochemical plant that manufactures ethylene (170 kt/year), polyethylene (100 kt/year), and polypropylene (61 kt/year), and determined the VOC emission amount for this complex industrial area source. Firstly, this study monitored VOC concentrations around this plant in April of 2017, and found that the VOCs at downwind receptors was obviously higher than the level at background, higher by 20.7 ppb on average. This VOC increment was mainly contributed by ethylene (30.4%), propylene (17.8%), pentanes (16.4%), and butanes (13.4%), which is consistent with the knowledge of VOC components emitted from the manufacturing of ethylene, polyethylene, and polypropylene. Then, by using the inverse-dispersion calculation method (IDM), we determined the relationship coefficient gamma between source emission rate and ambient concentration for each receptor of each test based on an assumed source emission rate, combined gamma with the actual VOC concentrations measured in monitoring tests, and estimated the average VOCs emission of 666.0 tons/year for this plant, including 18.1 tons for ethane, 21.1 tons for propane, 61.6 tons for isobutane, 44.3 tons for n-butane, 79.3 tons for isopentane, 56.8 tons for n-pentane, 115.4 tons for ethylene, 102.5 tons for propylene, 92.7 tons for benzene, and 74.1 tons for toluene. Our IDM estimate was in the same order with the traditional emission factor method estimate (916.4 tons VOCs per year for this plant), and we believed the IDM can be applied to effectively estimate the VOCs emissions for those complicated industrial sources"
Keywords:Air Pollutants/*analysis Air Pollution/statistics & numerical data Benzene/analysis China Environmental Monitoring/*methods Manufacturing and Industrial Facilities Pentanes/analysis Toluene/analysis Volatile Organic Compounds/*analysis Area source Inverse;
Notes:"MedlineWei, Wei Wang, Yating Yang, Gan Yue, Li Cheng, Shuiyuan eng 51478017/National Natural Science Foundation of China/ 51678007/National Natural Science Foundation of China/ Z171100001117098/Beijing NOVA Plan of Science and Technology/ Netherlands 2018/07/10 Environ Monit Assess. 2018 Jul 7; 190(8):451. doi: 10.1007/s10661-018-6834-9"

 
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 19-12-2024