monitoring of volatile organic compounds (vocs) from an oil and gas station in northwest china for 1 year
Clicks: 275
ID: 211496
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
275 views
13 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #72 of 850 articles by views in Journal of agricultural and food chemistry
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 850 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Oil and natural gas are important for energy supply around the world. The
exploring, drilling, transportation and processing in oil and gas regions can
release a lot of volatile organic compounds (VOCs). To understand the VOC
levels, compositions and sources in such regions, an oil and gas station in
northwest China was chosen as the research site and 57 VOCs
designated as the photochemical precursors were continuously measured for an
entire year (September 2014–August 2015) using an online monitoring system.
The average concentration of total VOCs was 297 ± 372 ppbv and the
main contributor was alkanes, accounting for 87.5 % of the total VOCs.
According to the propylene-equivalent concentration and maximum incremental
reactivity methods, alkanes were identified as the most important VOC groups
for the ozone formation potential. Positive matrix factorization (PMF)
analysis showed that the annual average contributions from natural gas, fuel
evaporation, combustion sources, oil refining processes and asphalt
(anthropogenic and natural sources) to the total VOCs were 62.6 ± 3.04, 21.5 ± .99, 10.9 ± 1.57, 3.8 ± 0.50
and 1.3 ± 0.69 %, respectively. The five identified VOC sources
exhibited various diurnal patterns due to their different emission patterns
and the impact of meteorological parameters. Potential source contribution
function (PSCF) and concentration-weighted trajectory (CWT) models based on
backward trajectory analysis indicated that the five identified sources had
similar geographic origins. Raster analysis based on CWT analysis indicated
that the local emissions contributed 48.4–74.6 % to the total VOCs. Based
on the high-resolution observation data, this study clearly described and
analyzed the temporal variation in VOC emission characteristics at a typical
oil and gas field, which exhibited different VOC levels, compositions and
origins compared with those in urban and industrial areas.
| Reference Key |
zheng2018atmosphericmonitoring
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;H. Zheng;H. Zheng;S. Kong;X. Xing;X. Xing;Y. Mao;T. Hu;Y. Ding;G. Li;D. Liu;S. Li;S. Qi;S. Qi |
| Journal | Journal of agricultural and food chemistry |
| Year | 2018 |
| DOI |
10.5194/acp-18-4567-2018
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.