001     857700
005     20240712100947.0
024 7 _ |a 10.1016/j.scib.2018.07.001
|2 doi
024 7 _ |a 1001-6538
|2 ISSN
024 7 _ |a 1861-9541
|2 ISSN
024 7 _ |a 2095-9273
|2 ISSN
024 7 _ |a 2095-9281
|2 ISSN
024 7 _ |a WOS:000442738700014
|2 WOS
037 _ _ |a FZJ-2018-06672
082 _ _ |a 500
100 1 _ |a Tan, Zhaofeng
|0 P:(DE-Juel1)173726
|b 0
245 _ _ |a Explicit diagnosis of the local ozone production rate and the ozone-NOx-VOC sensitivities
260 _ _ |a [S.l.]
|c 2018
|b Science China Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1542896694_6135
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a In the troposphere, ozone is a harmful gas compound to both human health and vegetation. Ozone is produced from the reaction of NOx (NO + NO2) and VOCs (volatile organic compounds) with light. Due to the highly nonlinear relationships between ozone and its precursors, proper ozone mitigation relies on the knowledge of chemical mechanisms. In this study, an observation-based method is used to simulate ozone formation and elucidate its controlling factors for a rural site on the North China Plain. The instantaneous ozone production rate is calculated utilizing a box model using the dataset obtained from the Wangdu campaign. First, the model was operated in a time-dependent mode to calculate the ozone production rate at each time stamp. The calculated ozone formation rate showed a diurnal average maximum value of 17 ppbv/h (1-h diurnal averaged). The contribution of individual peroxy radicals to ozone production was analyzed. In addition, the functional dependence of calculated P(O3) reveals that ozone production was in a NOx-limited regime during the campaign. Furthermore, the missing peroxy radical source will further extend NOx-limited conditions to earlier in the day, making NOx limitation dominate more of a day than the current chemical model predicts. Finally, a multiple scenarios mode, also known as EKMA (empirical kinetic modeling approach), was used to simulate the response of P(O3) to the imaginary change in precursor concentrations. We found that ozone production was in the NOx-limited region. However, the use of NO2 measured by the molybdenum converter and/or the absence of a peroxy radical source in the current chemical model could over-emphasize the VOC-limited effect on ozone production.
536 _ _ |a 243 - Tropospheric trace substances and their transformation processes (POF3-243)
|0 G:(DE-HGF)POF3-243
|c POF3-243
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Lu, Keding
|0 P:(DE-Juel1)6776
|b 1
|e Corresponding author
700 1 _ |a Dong, Huabin
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Hu, Min
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Li, Xin
|0 P:(DE-Juel1)6775
|b 4
700 1 _ |a Liu, Yuhan
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Lu, Sihua
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Shao, Min
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Su, Rong
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Wang, Haichao
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Wu, Yusheng
|0 P:(DE-HGF)0
|b 10
700 1 _ |a Wahner, Andreas
|0 P:(DE-Juel1)16324
|b 11
700 1 _ |a Zhang, Yuanhang
|0 P:(DE-HGF)0
|b 12
|e Corresponding author
773 _ _ |a 10.1016/j.scib.2018.07.001
|g Vol. 63, no. 16, p. 1067 - 1076
|0 PERI:(DE-600)2816140-3
|n 16
|p 1067 - 1076
|t Science bulletin
|v 63
|y 2018
|x 2095-9273
856 4 _ |u https://juser.fz-juelich.de/record/857700/files/1-s2.0-S2095927318303177-main.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/857700/files/1-s2.0-S2095927318303177-main.pdf?subformat=pdfa
|x pdfa
|y Restricted
909 C O |o oai:juser.fz-juelich.de:857700
|p VDB
|p VDB:Earth_Environment
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)173726
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)6775
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 11
|6 P:(DE-Juel1)16324
913 1 _ |a DE-HGF
|l Atmosphäre und Klima
|1 G:(DE-HGF)POF3-240
|0 G:(DE-HGF)POF3-243
|2 G:(DE-HGF)POF3-200
|v Tropospheric trace substances and their transformation processes
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
914 1 _ |y 2018
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SCI BULL : 2017
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-Juel1)IEK-8-20101013
|k IEK-8
|l Troposphäre
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-8-20101013
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)ICE-3-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21