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 AbstractUnderstanding the volatile organic compounds of 1-methylcyclopropylene fumigation and packaging on yellow-fleshed peach via headspace-gas chromatography-ion mobility spectrometry and chemometric analyses    Next Abstract[VOCs Emission Level and Emission Reduction Potential of Coating Industry in Zibo] »

Huan Jing Ke Xue


Title:[VOCs Emission Inventory of Service Stations in a Subcenter (Tongzhou District) of the City of Beijing]
Author(s):Huang YH; Hu W; Li BB; Ji X; Xiao Y; Ren BQ; Qin JP;
Address:"School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China. Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Control Technology and Applications, Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China. Beijing Tongzhou District Environmental Protection Bureau, Beijing 101100, China. Beijing Vehicle Emission Management Centre, Beijing 100176, China"
Journal Title:Huan Jing Ke Xue
Year:2018
Volume:39
Issue:2
Page Number:618 - 625
DOI: 10.13227/j.hjkx.201702037
ISSN/ISBN:0250-3301 (Print) 0250-3301 (Linking)
Abstract:"As a subcenter of the city of Beijing, Tongzhou District is faced with enormous pressure from the rapid growth of VOCs emissions from service stations. In this study, a set of bottom-up VOCs inventory estimation methods for service stations in Tongzhou District is established. Using local VOCs emission factors of service stations in Beijing, combined with gasoline and diesel sales from every service station, a high resolution VOCs emission inventory of service stations in Tongzhou District from 2015 to 2022 was established. The results showed the following. 1 in circleAn online monitoring system (OMS) based on unloading, refueling, and tank pressure vapor emission control measures can reduce the VOCs emission factor from 190 mg.L(-1) to 115 mg.L(-1), and when the percent onboard refueling vapor recovery system (ORVR) Penetration reaches to about 50%, the emission factors can be reduced to 131 mg.L(-1) and 96 mg.L(-1), respectively. The VOCs emission factor (13 mg.L(-1)) of diesel from the service station is 0.8% of the uncontrolled emission factor (1552 mg.L(-1)) of gasoline. 2 in circleThe amount of VOCs emissions from service stations in Tongzhou District was 97.8 t.a(-1) in 2015, and the emissions of gasoline and diesel were 96.2 t.a(-1) and 1.6 t.a(-1), respectively, accounting for 98.4% and 1.6%. The emissions were mainly concentrated in the area surrounding the new Beijing Municipal Government site. 3 in circleAfter implementation of the vapor recovery requirements of 'Beijing's Clean Air Action Plan from 2013-2017,' considering the increase in oil sales from 2017 to 2022, VOCs emissions of gasoline and diesel from service stations will decrease by 9% and 6%, respectively, compared to those of 2015 in Tongzhou District. Assuming that the OMS will also be installed at 28 (2000-5000) t.a(-1) service stations by the end of 2022, VOCs emissions of service stations will be reduce by 13% compared to those of 2015. 4 in circleThe measure of restricting the number of vehicles in operation by 50% can reduce VOCs emissions of service stations by (22+/-12)% every day during 2014 Asia-Pacific Economic Cooperation conference (APEC). ?╡▒It is suggested to strengthen vapor recovery supervision on service stations in the area surrounding the new Beijing Municipal Government site, and in summer and refueling idle such as in noon"
Keywords:VOCs emission inventory service station sub-center of Beijing city vapor recovery;
Notes:"PubMed-not-MEDLINEHuang, Yu-Hu Hu, Wei Li, Bei-Bei Ji, Xuan Xiao, Yu Ren, Bi-Qi Qin, Jian-Ping chi English Abstract China 2018/07/03 Huan Jing Ke Xue. 2018 Feb 8; 39(2):618-625. doi: 10.13227/j.hjkx.201702037"

 
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 29-12-2024