Identifying hotspots based on high-resolution emission inventory of volatile organic compounds: A case study in China

2021 ◽  
Vol 288 ◽  
pp. 112419
Author(s):  
Xin Liu ◽  
Foyou Yan ◽  
Hui Hua ◽  
Zengwei Yuan
Keyword(s):  
High Resolution ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Emission Inventory ◽  
Volatile Organic

Compilation of emission inventory and source profile database for volatile organic compounds: A case study for Sichuan, China

2020 ◽  
Vol 11 (1) ◽  
pp. 105-116 ◽  
Author(s):  
Zihang Zhou ◽  
Qinwen Tan ◽  
Ye Deng ◽  
Danlin Song ◽  
Keying Wu ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Emission Inventory ◽  
Source Profile ◽  
Volatile Organic

Volatile organic compounds sources in Paris in spring 2007. Part II: source apportionment using positive matrix factorisation

2011 ◽  
Vol 8 (1) ◽  
pp. 91 ◽  
Author(s):  
Cécile Gaimoz ◽  
Stéphane Sauvage ◽  
Valérie Gros ◽  
Frank Herrmann ◽  
Jonathan Williams ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compound ◽  
Organic Compounds ◽  
Emission Inventory ◽  
Positive Matrix ◽  
Air Mass ◽  
Volatile Organic ◽  
Industrial Sources ◽  
Fuel Evaporation ◽  
Matrix Factorisation

Environmental context Volatile organic compounds are key compounds in atmospheric chemistry as precursors of ozone and secondary organic aerosols. To determine their impact at a megacity scale, a first important step is to characterise their sources. We present an estimate of volatile organic compound sources in Paris based on a combination of measurements and model results. The data suggest that the current emission inventory strongly overestimates the volatile organic compounds emitted from solvent industries, and thus needs to be corrected. Abstract A positive matrix factorisation model has been used for the determination of volatile organic compound (VOC) source contributions in Paris during an intensive campaign (May–June 2007). The major sources were traffic-related emissions (vehicle exhaust, 22% of the total mixing ratio of the measured VOCs, and fuel evaporation, 17%), with the remaining emissions from remote industrial sources (35%), natural gas and background (13%), local sources (7%), biogenic and fuel evaporation (5%) and wood-burning (2%). It was noted that the remote industrial contribution was highly dependent on the air-mass origin. During the period of oceanic influences (when only local and regional pollution was observed), this source made a relatively low contribution (<15%), whereas the source contribution linked to traffic was high (54%). During the period of continental influences (when additional continental pollution was observed), remote industrial sources played a dominant role, contributing up to 50% of measured VOCs. Finally, the positive matrix factorisation results obtained during the oceanic air mass-influenced period were compared with the local emission inventory. This comparison suggests that the VOC emission from solvent industries might be overestimated in the inventory, consistent with findings in other European cities.

scholarly journals An Integrated Method for Factor Number Selection of PMF Model: Case Study on Source Apportionment of Ambient Volatile Organic Compounds in Wuhan

Atmosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 390 ◽  
Author(s):  
Fenjuan Wang ◽  
Zhenyi Zhang ◽  
Costanza Acciai ◽  
Zhangxiong Zhong ◽  
Zhaokai Huang ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Source Apportionment ◽  
Correlation Coefficient ◽  
Organic Compounds ◽  
Industrial Emissions ◽  
Integrated Method ◽  
Pmf Model ◽  
Volatile Organic ◽  
Measurement Period

The positive matrix factorization (PMF) model is widely used for source apportionment of volatile organic compounds (VOCs). The question about how to select the proper number of factors, however, is rarely studied. In this study, an integrated method to determine the most appropriate number of sources was developed and its application was demonstrated by case study in Wuhan. The concentrations of 103 ambient volatile organic compounds (VOCs) were measured intensively using online gas chromatography/mass spectrometry (GC/MS) during spring 2014 in an urban residential area of Wuhan, China. During the measurement period, the average temperature was approximately 25 °C with very little domestic heating and cooling. The concentrations of the most abundant VOCs (ethane, ethylene, propane, acetylene, n-butane, benzene, and toluene) in Wuhan were comparable to other studies in urban areas in China and other countries. The newly developed integrated method to determine the most appropriate number of sources is in combination of a fixed minimum threshold value for the correlation coefficient, the average weighted correlation coefficient of each species, and the normalized minimum error. Seven sources were identified by using the integrated method, and they were vehicular emissions (45.4%), industrial emissions (22.5%), combustion of coal (14.7%), liquefied petroleum gas (LPG) (9.7%), industrial solvents (4.4%), and pesticides (3.3%) and refrigerants. The orientations of emission sources have been characterized taking into account the frequency of wind directions and contributions of sources in each wind direction for the measurement period. It has been concluded that the vehicle exhaust contribution is greater than 40% distributed in all directions, whereas industrial emissions are mainly attributed to the west southwest and south southwest.

scholarly journals Emissions of volatile organic compounds from crude oil processing – Global emission inventory and environmental release

2020 ◽  
Vol 727 ◽  
pp. 138654 ◽  
Author(s):  
Hamid Rajabi ◽  
Mojgan Hadi Mosleh ◽  
Parthasarathi Mandal ◽  
Amanda Lea-Langton ◽  
Majid Sedighi
Keyword(s):  
Volatile Organic Compounds ◽  
Crude Oil ◽  
Organic Compounds ◽  
Emission Inventory ◽  
Oil Processing ◽  
Global Emission ◽  
Volatile Organic

Characteristics and sources of volatile organic compounds during high ozone episodes: A case study at a site in the eastern Guanzhong Plain, China

Chemosphere ◽  
2021 ◽  
Vol 265 ◽  
pp. 129072
Author(s):  
Lirong Hui ◽  
Tong Ma ◽  
Zongjiang Gao ◽  
Jian Gao ◽  
Zhe Wang ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Volatile Organic ◽  
A Site ◽  
Ozone Episodes
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