Exploration of the influence of environmental conditions on secondary organic aerosol formation and organic species properties using explicit simulations: development of the VBS-GECKO parameterization
Atmospheric chambers have been widely used to study secondary organic aerosol (SOA) properties and formation from various precursors under different controlled environmental conditions and to develop parameterization to represent SOA formation in chemical transport models (CTMs). Chamber experiments...
Saved in:
Published in | Atmospheric chemistry and physics Vol. 18; no. 18; pp. 13411 - 13428 |
---|---|
Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Katlenburg-Lindau
Copernicus GmbH
21.09.2018
European Geosciences Union Copernicus Publications |
Subjects | |
Online Access | Get full text |
ISSN | 1680-7324 1680-7316 1680-7324 |
DOI | 10.5194/acp-18-13411-2018 |
Cover
Loading…
Abstract | Atmospheric chambers have been widely used to study secondary organic aerosol
(SOA) properties and formation from various precursors under different
controlled environmental conditions and to develop parameterization to
represent SOA formation in chemical transport models (CTMs). Chamber
experiments are however limited in number, performed under conditions that
differ from the atmosphere and can be subject to potential artefacts from
chamber walls. Here, the Generator for Explicit Chemistry and Kinetics of
Organics in the Atmosphere (GECKO-A) modelling tool has been used in a box
model under various environmental conditions to (i) explore the sensitivity
of SOA formation and properties to changes on physical and chemical
conditions and (ii) develop a volatility basis set (VBS)-type parameterization.
The set of parent hydrocarbons includes n-alkanes and 1-alkenes with 10, 14,
18, 22 and 26 carbon atoms, α-pinene, β-pinene and limonene,
benzene, toluene, o-xylene, m-xylene and p-xylene. Simulated SOA yields and
their dependences on the precursor structure, organic aerosol load,
temperature and NOx levels are consistent with the
literature. GECKO-A was used to explore the distribution of molar mass,
vaporization enthalpy, OH reaction rate and Henry's law coefficient of the
millions of secondary organic compounds formed during the oxidation of the
different precursors and under various conditions. From these explicit
simulations, a VBS-GECKO parameterization designed to be implemented in 3-D
air quality models has been tuned to represent SOA formation from the 18
precursors using GECKO-A as a reference. In evaluating the ability of
VBS-GECKO to capture the temporal evolution of SOA mass, the mean relative
error is less than 20 % compared to GECKO-A. The optimization procedure
has been automated to facilitate the update of the VBS-GECKO on the basis of
the future GECKO-A versions, its extension to other precursors and/or its
modification to carry additional information. |
---|---|
AbstractList | Atmospheric chambers have been widely used to study secondary organic aerosol (SOA) properties and formation from various precursors under different controlled environmental conditions and to develop parameterization to represent SOA formation in chemical transport models (CTMs). Chamber experiments are however limited in number, performed under conditions that differ from the atmosphere and can be subject to potential artefacts from chamber walls. Here, the Generator for Explicit Chemistry and Kinetics of Organics in the Atmosphere (GECKO-A) modelling tool has been used in a box model under various environmental conditions to (i) explore the sensitivity of SOA formation and properties to changes on physical and chemical conditions and (ii) develop a volatility basis set (VBS)-type parameterization. The set of parent hydrocarbons includes n-alkanes and 1-alkenes with 10, 14, 18, 22 and 26 carbon atoms, α-pinene, β-pinene and limonene, benzene, toluene, o-xylene, m-xylene and p-xylene. Simulated SOA yields and their dependences on the precursor structure, organic aerosol load, temperature and NOx levels are consistent with the literature. GECKO-A was used to explore the distribution of molar mass, vaporization enthalpy, OH reaction rate and Henry's law coefficient of the millions of secondary organic compounds formed during the oxidation of the different precursors and under various conditions. From these explicit simulations, a VBS-GECKO parameterization designed to be implemented in 3-D air quality models has been tuned to represent SOA formation from the 18 precursors using GECKO-A as a reference. In evaluating the ability of VBS-GECKO to capture the temporal evolution of SOA mass, the mean relative error is less than 20 % compared to GECKO-A. The optimization procedure has been automated to facilitate the update of the VBS-GECKO on the basis of the future GECKO-A versions, its extension to other precursors and/or its modification to carry additional information. Atmospheric chambers have been widely used to study secondary organic aerosol (SOA) properties and formation from various precursors under different controlled environmental conditions and to develop parameterization to represent SOA formation in chemical transport models (CTMs). Chamber experiments are however limited in number, performed under conditions that differ from the atmosphere and can be subject to potential artefacts from chamber walls. Here, the Generator for Explicit Chemistry and Kinetics of Organics in the Atmosphere (GECKO-A) modelling tool has been used in a box model under various environmental conditions to (i) explore the sensitivity of SOA formation and properties to changes on physical and chemical conditions and (ii) develop a volatility basis set (VBS)-type parameterization. The set of parent hydrocarbons includes n-alkanes and 1-alkenes with 10, 14, 18, 22 and 26 carbon atoms, α-pinene, β-pinene and limonene, benzene, toluene, o-xylene, m-xylene and p-xylene. Simulated SOA yields and their dependences on the precursor structure, organic aerosol load, temperature and NO.sub.x levels are consistent with the literature. GECKO-A was used to explore the distribution of molar mass, vaporization enthalpy, OH reaction rate and Henry's law coefficient of the millions of secondary organic compounds formed during the oxidation of the different precursors and under various conditions. From these explicit simulations, a VBS-GECKO parameterization designed to be implemented in 3-D air quality models has been tuned to represent SOA formation from the 18 precursors using GECKO-A as a reference. In evaluating the ability of VBS-GECKO to capture the temporal evolution of SOA mass, the mean relative error is less than 20 % compared to GECKO-A. The optimization procedure has been automated to facilitate the update of the VBS-GECKO on the basis of the future GECKO-A versions, its extension to other precursors and/or its modification to carry additional information. Atmospheric chambers have been widely used to study secondary organic aerosol (SOA) properties and formation from various precursors under different controlled environmental conditions and to develop parameterization to represent SOA formation in chemical transport models (CTMs). Chamber experiments are however limited in number, performed under conditions that differ from the atmosphere and can be subject to potential artefacts from chamber walls. Here, the Generator for Explicit Chemistry and Kinetics of Organics in the Atmosphere (GECKO-A) modelling tool has been used in a box model under various environmental conditions to (i) explore the sensitivity of SOA formation and properties to changes on physical and chemical conditions and (ii) develop a volatility basis set (VBS)-type parameterization. The set of parent hydrocarbons includes n-alkanes and 1-alkenes with 10, 14, 18, 22 and 26 carbon atoms, α-pinene, β-pinene and limonene, benzene, toluene, o-xylene, m-xylene and p-xylene. Simulated SOA yields and their dependences on the precursor structure, organic aerosol load, temperature and NOx levels are consistent with the literature. GECKO-A was used to explore the distribution of molar mass, vaporization enthalpy, OH reaction rate and Henry's law coefficient of the millions of secondary organic compounds formed during the oxidation of the different precursors and under various conditions. From these explicit simulations, a VBS-GECKO parameterization designed to be implemented in 3-D air quality models has been tuned to represent SOA formation from the 18 precursors using GECKO-A as a reference. In evaluating the ability of VBS-GECKO to capture the temporal evolution of SOA mass, the mean relative error is less than 20 % compared to GECKO-A. The optimization procedure has been automated to facilitate the update of the VBS-GECKO on the basis of the future GECKO-A versions, its extension to other precursors and/or its modification to carry additional information. Atmospheric chambers have been widely used to study secondary organic aerosol (SOA) properties and formation from various precursors under different controlled environmental conditions and to develop parameterization to represent SOA formation in chemical transport models (CTMs). Chamber experiments are however limited in number, performed under conditions that differ from the atmosphere and can be subject to potential artefacts from chamber walls. Here, the Generator for Explicit Chemistry and Kinetics of Organics in the Atmosphere (GECKO-A) modelling tool has been used in a box model under various environmental conditions to (i) explore the sensitivity of SOA formation and properties to changes on physical and chemical conditions and (ii) develop a volatility basis set (VBS)type parameterization. The set of parent hydrocarbons includes n-alkanes and 1-alkenes with 10, 14, 18, 22 and 26 carbon atoms, alpha-pinene, beta-pinene and limonene, benzene, toluene, o-xylene, m-xylene and p-xylene. Simulated SOA yields and their dependences on the precursor structure, organic aerosol load, temperature and NO, levels are consistent with the literature. GECKO-A was used to explore the distribution of molar mass, vaporization enthalpy, OH reaction rate and Henry's law coefficient of the millions of secondary organic compounds formed during the oxidation of the different precursors and under various conditions. From these explicit simulations, a VBS-GECKO parameterization designed to be implemented in 3-D air quality models has been tuned to represent SOA formation from the 18 precursors using GECKO-A as a reference. In evaluating the ability of VBS-GECKO to capture the temporal evolution of SOA mass, the mean relative error is less than 20 % compared to GECKO-A. The optimization procedure has been automated to facilitate the update of the VBS-GECKO on the basis of the future GECKO-A versions, its extension to other precursors and/or its modification to carry additional information. |
Audience | Academic |
Author | Hodzic, Alma Aumont, Bernard Bessagnet, Bertrand Madronich, Sasha Lannuque, Victor Camredon, Marie Valorso, Richard Couvidat, Florian |
Author_xml | – sequence: 1 givenname: Victor orcidid: 0000-0001-9373-0712 surname: Lannuque fullname: Lannuque, Victor – sequence: 2 givenname: Marie surname: Camredon fullname: Camredon, Marie – sequence: 3 givenname: Florian surname: Couvidat fullname: Couvidat, Florian – sequence: 4 givenname: Alma surname: Hodzic fullname: Hodzic, Alma – sequence: 5 givenname: Richard surname: Valorso fullname: Valorso, Richard – sequence: 6 givenname: Sasha surname: Madronich fullname: Madronich, Sasha – sequence: 7 givenname: Bertrand surname: Bessagnet fullname: Bessagnet, Bertrand – sequence: 8 givenname: Bernard orcidid: 0000-0002-2781-0877 surname: Aumont fullname: Aumont, Bernard |
BackLink | https://ineris.hal.science/ineris-03319032$$DView record in HAL |
BookMark | eNp9Ul1v1DAQjFCRaAs_gDdLPCGR4s13eCunoz1xUiUKvFqOs776lNjBTk6FX8jPYnMHhUMI5cH2Zma8452z6MQ6i1H0HPhFDnX2WqohhiqGNAOIEw7Vo-gUiorHZZpkJ3_sn0RnIWw5T3IO2Wn0fXk_dM7L0TjLnGbjHTJjdTehVTgX0O6Md7ZHO8qOKWdbM2MDI3zA-Sz9V-b8RlqjmETvguuYdr4_aErbPvwNAyqDgQ3eDejHeTsFYzcMqQmjzMiC6aduTwxvWIs77NwwX_2rtc9vb-Or5eL9DRuklz2O6M23Pf5p9FjLLuCzn-t59Ond8uPiOl7fXK0Wl-tY5Qkf46LIskzJtmoQtEJNhyTVCnQqAWtJr6JzVdd121SJKhqdVQ0UTVFlRVknCor0PFoddFsnt2Lwpif_wkkj9gWyKiRZUx2KUjU8r9O0aVq6VMuGg26rqmjrTGkAJK1XB6072R1JXV-uhbHkLQieplDzNNkBwV8c4PR-XyYMo9i6yVtyKxJIIIOCl8Vv1EZSDzRLN3qpehOUuMxzCguUdUaoi3-g6GuxNzRV1IbqR4SXRwTCjHg_buQUgljdfjjGwgGrKA3Bo34wB1zMcRUUVwGV2MdVzHElTvkXh_Kwnyw1Zrr_MH8AKDH0-Q |
CitedBy_id | crossref_primary_10_1021_acs_est_0c07621 crossref_primary_10_3390_atmos10070401 crossref_primary_10_5194_acp_19_12091_2019 crossref_primary_10_5194_acp_25_199_2025 crossref_primary_10_5194_gmd_15_8957_2022 crossref_primary_10_1029_2022JD038227 crossref_primary_10_1029_2021MS002974 crossref_primary_10_1039_D4CP02528H crossref_primary_10_1029_2022JD037257 crossref_primary_10_5194_acp_23_9191_2023 crossref_primary_10_1016_j_apsusc_2019_04_221 crossref_primary_10_5194_acp_22_3131_2022 crossref_primary_10_5194_acp_23_5043_2023 crossref_primary_10_1007_s00376_024_3281_0 crossref_primary_10_1016_j_jaerosci_2023_106248 crossref_primary_10_5194_acp_19_13209_2019 crossref_primary_10_1021_acs_est_3c02073 crossref_primary_10_1016_j_cej_2021_128590 crossref_primary_10_3390_atmos11050525 crossref_primary_10_1039_D4EA00049H crossref_primary_10_5194_acp_21_6541_2021 crossref_primary_10_5194_acp_23_15537_2023 crossref_primary_10_5194_acp_24_13317_2024 crossref_primary_10_5194_acp_21_3395_2021 crossref_primary_10_1021_acs_jpca_2c00713 crossref_primary_10_5194_acp_20_4905_2020 |
Cites_doi | 10.5194/acpd-5-7829-2005 10.1017/CBO9781107415324.016 10.1039/b417369d 10.1021/jp026581r 10.1021/es950943+ 10.5194/acp-9-4987-2009 10.5194/acp-11-3303-2011 10.5194/acp-10-5491-2010 10.1029/2001JD000542 10.1016/j.atmosenv.2008.12.004 10.1016/1352-2310(94)90093-0 10.5194/acp-11-6895-2011 10.5194/acp-14-2923-2014 10.1016/S1352-2310(96)00105-7 10.1016/j.fluid.2008.04.020 10.1006/jcph.1994.1141 10.1126/science.1180353 10.1016/j.envint.2017.01.023 10.1021/acs.est.5b06247 10.1016/0960-1686(92)90027-I 10.5194/acp-16-1417-2016 10.1029/2006GL026899 10.1021/es803389s 10.1016/S1352-2310(03)00359-5 10.5194/acp-13-6101-2013 10.1016/S0140-6736(12)61766-8 10.5194/gmd-8-1111-2015 10.1021/es0341541 10.1021/es703225a 10.1016/j.fluid.2004.09.001 10.1016/j.atmosenv.2014.08.072 10.5194/acp-16-10793-2016 10.1126/science.1133061 10.1039/c0cp00387e 10.1080/02786826.2010.501044 10.1029/2011JD017214 10.5194/acp-11-6639-2011 10.1029/2006JD008094 10.1029/2004JD005623 10.1016/j.atmosenv.2008.01.003 10.5194/acp-3-1849-2003 10.1021/es052297c 10.5194/acp-17-2103-2017 10.5194/acp-7-5599-2007 10.1021/es0522736 10.5194/acp-5-2497-2005 10.5194/acp-15-991-2015 10.1016/1352-2310(95)00283-5 10.1002/2014GL060649 10.1039/c2cs35140d 10.5194/acp-3-181-2003 10.5194/acp-12-7577-2012 10.1021/ie50510a047 10.5194/acp-5-641-2005 10.1039/c3fd00029j 10.5194/acp-14-10845-2014 10.5194/acp-13-5907-2013 10.1039/b909712k 10.4209/aaqr.2011.05.0073 10.1021/es60104a004 10.5194/acp-5-2519-2005 10.1007/978-3-540-69044-3_1 10.1021/es00142a006 10.5194/acp-7-5159-2007 10.1002/2016RG000540 10.1029/2005GL023831 10.5194/acp-12-615-2012 10.1016/j.atmosenv.2012.02.045 10.5194/acp-10-11243-2010 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2018 Copernicus GmbH 2018. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Distributed under a Creative Commons Attribution 4.0 International License |
Copyright_xml | – notice: COPYRIGHT 2018 Copernicus GmbH – notice: 2018. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Distributed under a Creative Commons Attribution 4.0 International License |
DBID | AAYXX CITATION ISR 7QH 7TG 7TN 7UA 8FD 8FE 8FG ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BENPR BFMQW BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F1W GNUQQ H8D H96 HCIFZ KL. L.G L7M P5Z P62 PATMY PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PYCSY 1XC VOOES DOA |
DOI | 10.5194/acp-18-13411-2018 |
DatabaseName | CrossRef Gale in Context: Science Aqualine Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Water Resources Abstracts Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central Continental Europe Database Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Central Korea ASFA: Aquatic Sciences and Fisheries Abstracts ProQuest Central Student Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources SciTech Premium Collection Meteorological & Geoastrophysical Abstracts - Academic Aquatic Science & Fisheries Abstracts (ASFA) Professional Advanced Technologies Database with Aerospace Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Environmental Science Database Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Environmental Science Collection Hyper Article en Ligne (HAL) Hyper Article en Ligne (HAL) (Open Access) DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef Publicly Available Content Database Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Central Student Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China Water Resources Abstracts Environmental Sciences and Pollution Management Earth, Atmospheric & Aquatic Science Collection ProQuest Central ProQuest One Applied & Life Sciences Aerospace Database ProQuest One Sustainability Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection ProQuest Central (New) Advanced Technologies Database with Aerospace Advanced Technologies & Aerospace Collection ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Continental Europe Database ProQuest SciTech Collection Aqualine Environmental Science Collection Advanced Technologies & Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources ProQuest One Academic UKI Edition ASFA: Aquatic Sciences and Fisheries Abstracts Environmental Science Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) |
DatabaseTitleList | Publicly Available Content Database CrossRef |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Meteorology & Climatology Chemistry Environmental Sciences |
EISSN | 1680-7324 |
EndPage | 13428 |
ExternalDocumentID | oai_doaj_org_article_7cb05933bbd444fab01fd886d94cf11e oai_HAL_ineris_03319032v1 A555191794 10_5194_acp_18_13411_2018 |
GroupedDBID | 23N 2WC 4P2 5GY 5VS 6J9 7XC 8FE 8FG 8FH 8R4 8R5 AAFWJ AAYXX ABUWG ACGFO ADBBV AENEX AEUYN AFKRA AFPKN AFRAH AHGZY AIAGR ALMA_UNASSIGNED_HOLDINGS ARAPS ATCPS BCNDV BENPR BFMQW BGLVJ BHPHI BKSAR BPHCQ CCPQU CITATION D1K E3Z EBS EDH EJD FD6 GROUPED_DOAJ GX1 H13 HCIFZ HH5 IAO IEA IPNFZ ISR ITC K6- KQ8 OK1 OVT P2P P62 PATMY PCBAR PHGZM PHGZT PIMPY PQQKQ PROAC PYCSY Q2X RIG RKB RNS TR2 XSB ~02 BBORY PMFND 7QH 7TG 7TN 7UA 8FD AZQEC C1K DWQXO F1W GNUQQ H8D H96 KL. L.G L7M PKEHL PQEST PQGLB PQUKI PRINS 1XC C1A VOOES PUEGO |
ID | FETCH-LOGICAL-c520t-66444cad8be1fcef44c23fc1f3a1e9a250f5c999db82c6bf48b16b6846792c163 |
IEDL.DBID | BENPR |
ISSN | 1680-7324 1680-7316 |
IngestDate | Wed Aug 27 01:31:07 EDT 2025 Sat Jun 21 06:31:14 EDT 2025 Sat Jul 26 02:37:00 EDT 2025 Tue Jun 17 21:49:33 EDT 2025 Tue Jun 10 20:46:56 EDT 2025 Fri Jun 27 04:34:52 EDT 2025 Thu Apr 24 22:54:55 EDT 2025 Tue Jul 01 03:42:46 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 18 |
Keywords | OXIDATION RADICAL-INITIATED REACTIONS TROPOSPHERIC DEGRADATION CHEMICAL MECHANISM VAPOR-PRESSURE MOLECULAR-STRUCTURE PURE COMPONENT PROPERTIES VOLATILITY BASIS-SET SOA FORMATION PARTICULATE MATTER |
Language | English |
License | https://creativecommons.org/licenses/by/4.0 Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0 |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c520t-66444cad8be1fcef44c23fc1f3a1e9a250f5c999db82c6bf48b16b6846792c163 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ORCID | 0000-0001-9373-0712 0000-0002-2781-0877 0000-0002-6691-4978 0000-0003-2062-4681 |
OpenAccessLink | https://www.proquest.com/docview/2121416076?pq-origsite=%requestingapplication% |
PQID | 2121416076 |
PQPubID | 105744 |
PageCount | 18 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_7cb05933bbd444fab01fd886d94cf11e hal_primary_oai_HAL_ineris_03319032v1 proquest_journals_2121416076 gale_infotracmisc_A555191794 gale_infotracacademiconefile_A555191794 gale_incontextgauss_ISR_A555191794 crossref_primary_10_5194_acp_18_13411_2018 crossref_citationtrail_10_5194_acp_18_13411_2018 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2018-09-21 |
PublicationDateYYYYMMDD | 2018-09-21 |
PublicationDate_xml | – month: 09 year: 2018 text: 2018-09-21 day: 21 |
PublicationDecade | 2010 |
PublicationPlace | Katlenburg-Lindau |
PublicationPlace_xml | – name: Katlenburg-Lindau |
PublicationTitle | Atmospheric chemistry and physics |
PublicationYear | 2018 |
Publisher | Copernicus GmbH European Geosciences Union Copernicus Publications |
Publisher_xml | – name: Copernicus GmbH – name: European Geosciences Union – name: Copernicus Publications |
References | ref13 ref57 ref12 ref56 ref15 ref59 ref14 ref58 ref53 ref52 ref11 ref55 ref10 ref54 ref17 ref16 ref19 ref18 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 ref35 ref34 ref37 ref36 ref31 ref30 ref33 ref32 ref2 ref1 ref39 ref38 ref71 ref70 ref24 ref68 ref23 ref67 ref26 ref25 ref69 ref20 ref64 ref63 ref22 ref66 ref21 ref65 ref28 ref27 ref29 ref60 ref62 ref61 |
References_xml | – ident: ref27 doi: 10.5194/acpd-5-7829-2005 – ident: ref5 doi: 10.1017/CBO9781107415324.016 – ident: ref12 doi: 10.1039/b417369d – ident: ref6 doi: 10.1021/jp026581r – ident: ref47 doi: 10.1021/es950943+ – ident: ref8 doi: 10.5194/acp-9-4987-2009 – ident: ref14 doi: 10.5194/acp-11-3303-2011 – ident: ref21 doi: 10.5194/acp-10-5491-2010 – ident: ref50 doi: 10.1029/2001JD000542 – ident: ref39 doi: 10.1016/j.atmosenv.2008.12.004 – ident: ref48 doi: 10.1016/1352-2310(94)90093-0 – ident: ref63 doi: 10.5194/acp-11-6895-2011 – ident: ref19 doi: 10.5194/acp-14-2923-2014 – ident: ref24 doi: 10.1016/S1352-2310(96)00105-7 – ident: ref42 doi: 10.1016/j.fluid.2008.04.020 – ident: ref66 doi: 10.1006/jcph.1994.1141 – ident: ref26 doi: 10.1126/science.1180353 – ident: ref37 doi: 10.1016/j.envint.2017.01.023 – ident: ref71 doi: 10.1021/acs.est.5b06247 – ident: ref53 – ident: ref17 doi: 10.1016/0960-1686(92)90027-I – ident: ref29 doi: 10.5194/acp-16-1417-2016 – ident: ref68 doi: 10.1029/2006GL026899 – ident: ref33 doi: 10.1021/es803389s – ident: ref60 doi: 10.1016/S1352-2310(03)00359-5 – ident: ref45 doi: 10.5194/acp-13-6101-2013 – ident: ref32 doi: 10.1016/S0140-6736(12)61766-8 – ident: ref9 doi: 10.5194/gmd-8-1111-2015 – ident: ref51 doi: 10.1021/es0341541 – ident: ref30 doi: 10.1021/es703225a – ident: ref41 doi: 10.1016/j.fluid.2004.09.001 – ident: ref23 doi: 10.1016/j.atmosenv.2014.08.072 – ident: ref31 doi: 10.5194/acp-16-10793-2016 – ident: ref54 doi: 10.1126/science.1133061 – ident: ref65 doi: 10.1039/c0cp00387e – ident: ref38 doi: 10.1080/02786826.2010.501044 – ident: ref10 doi: 10.1029/2011JD017214 – ident: ref55 doi: 10.5194/acp-11-6639-2011 – ident: ref16 doi: 10.1029/2006JD008094 – ident: ref11 doi: 10.1029/2004JD005623 – ident: ref28 doi: 10.1016/j.atmosenv.2008.01.003 – ident: ref61 doi: 10.5194/acp-3-1849-2003 – ident: ref13 doi: 10.1021/es052297c – ident: ref44 doi: 10.5194/acp-17-2103-2017 – ident: ref7 doi: 10.5194/acp-7-5599-2007 – ident: ref52 doi: 10.1021/es0522736 – ident: ref1 doi: 10.5194/acp-5-2497-2005 – ident: ref70 doi: 10.5194/acp-15-991-2015 – ident: ref67 doi: 10.1016/1352-2310(95)00283-5 – ident: ref22 doi: 10.1002/2014GL060649 – ident: ref58 doi: 10.1039/c2cs35140d – ident: ref25 doi: 10.5194/acp-3-181-2003 – ident: ref2 doi: 10.5194/acp-12-7577-2012 – ident: ref35 doi: 10.1021/ie50510a047 – ident: ref4 doi: 10.5194/acp-5-641-2005 – ident: ref3 doi: 10.1039/c3fd00029j – ident: ref62 doi: 10.5194/acp-14-10845-2014 – ident: ref69 doi: 10.5194/acp-13-5907-2013 – ident: ref64 doi: 10.1039/b909712k – ident: ref18 doi: 10.4209/aaqr.2011.05.0073 – ident: ref46 doi: 10.1021/es60104a004 – ident: ref59 doi: 10.5194/acp-5-2519-2005 – ident: ref36 doi: 10.1007/978-3-540-69044-3_1 – ident: ref40 doi: 10.1021/es00142a006 – ident: ref43 doi: 10.5194/acp-7-5159-2007 – ident: ref49 – ident: ref56 doi: 10.1002/2016RG000540 – ident: ref20 doi: 10.1029/2005GL023831 – ident: ref15 doi: 10.5194/acp-12-615-2012 – ident: ref57 doi: 10.1016/j.atmosenv.2012.02.045 – ident: ref34 doi: 10.5194/acp-10-11243-2010 |
SSID | ssj0025014 |
Score | 2.411154 |
Snippet | Atmospheric chambers have been widely used to study secondary organic aerosol
(SOA) properties and formation from various precursors under different
controlled... Atmospheric chambers have been widely used to study secondary organic aerosol (SOA) properties and formation from various precursors under different controlled... |
SourceID | doaj hal proquest gale crossref |
SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database |
StartPage | 13411 |
SubjectTerms | Aerosol formation Aerosols Air pollution Air quality Air quality models Alkanes Alkenes Artefacts Atmosphere Atmospheric models Atomic properties Benzene Chemical transport Chemistry Computer simulation Enthalpy Environmental aspects Environmental conditions Environmental Sciences Evolution Exploration Geckos Henrys law Humidity Hydrocarbons Kinetics Limonene Mathematical models Modelling Nitrogen compounds Optimization Organic chemistry Organic compounds Organic loading Oxidation Oxides p-Xylene Parameterization Precursors Properties Properties (attributes) Reaction kinetics Secondary aerosols Simulation Three dimensional models Toluene Vaporization Volatility Xylene α-Pinene |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELagJy6IpwgtyEIFJCSrceJ4E27bVcsWKEiUot4sx48SaZusNlsE_5CfxUzihF0OcOGYZBI5nsn4m3jmG0L2pSycFZIzn00cw405puNUsBR0jQRL3HsMFE8_yPm5eHuRXWy0-sKcsJ4euJ-4g4kpsetcWpZWCOF1CbfbPJe2EMZz7tD7wpo3BFMh1MLdMgy1ZB4z7M3U72cCWhEH2iwZh8gJ3DcHG8FuHxsrUkfcP7rnm18xO_IPJ92tPMd3yO0AGem0H-pdcsPV90h0Cmi3WXU_xekLOltUAD27o_vkZ59Y1805bTwFjEeroRkJntioboMHQ0Rs-8QtCvItRshWr37QvuGTodrBuJsFHescqa7teBVLNSHapkv8q79CelaKufSX1H3HrfFqTdvqKvQIa19T-ztJaRjal8Mz9uZo9u4jRR7yK8zPCcWhD8j58dHn2ZyFjg3MZEm8ZhLQlTDa5qXj3jgPB0nqDfep5q7QoBafGYCktswTI0sv8pLLUiIGKhID0PAh2amb2j0iVE9kbPPUppmOhXVCS22N8RLwlLOZySMSD1pTJtCZY1eNhYKwBhWtQNGK56pTtEJFR-TVeMuy5_L4m_AhmsIoiDTc3QmYXhWMU_3LOCPyDA1JIdFGjZk8l_q6bdXJ2Sc1zQCrFugOI_IyCPkG3sDoUBgB84DcXFuSe1uS4AnM1uXnYK9bI55P3yssIq1aFafgbeM0-cbhMYNFq-CxWgUQhgtkG5SP_8eb75JbOIuYWZPwPbKzXl27JwDf1uXT7kv9BaHmRO0 priority: 102 providerName: Directory of Open Access Journals |
Title | Exploration of the influence of environmental conditions on secondary organic aerosol formation and organic species properties using explicit simulations: development of the VBS-GECKO parameterization |
URI | https://www.proquest.com/docview/2121416076 https://ineris.hal.science/ineris-03319032 https://doaj.org/article/7cb05933bbd444fab01fd886d94cf11e |
Volume | 18 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9NAEF6R9gAXBAVEaIlWiIeEtKrXj43DBSVR0vBIgZbS3lbrfbSR0jjEKYJ_yM9ixl67DYeeInsniXdndvzN7DwIeSlEz5pYcOaSrmV4MMdUEMUsAl5jgSXuHBqK00MxOYk_niVn3uFW-LDKWieWitrkGn3k-6BieYzV0MT75U-GXaPwdNW30GiRbRhPwfjaHowOvx41JheemqHJJdKAYY-m6lwTUEu8r_SScbCgQI1zkBXs-nHjzVQW8G_UdOsCoyT_U9blG2j8gNz30JH2K14_JHfsYofcHdYd23ZIewoIOF-VjnL6mg7nM4Cj5dUj8rcKtiv5QHNHAffRWd2gBG_cyHiDPwEr2VTBXBToC7SajVr9oVUTKE2VhTnkc9rkPlK1MM0opm-CBU6X6OlfYclWivH159T-xuPy2ZoWs0vfN6x4R8114FL9aD8Gx-xgNPz0hWJt8kuM2fEJo4_JyXj0fThhvosD00kYrJkAxBVrZdLMcqetg4swcpq7SHHbU8Ail2iAqSZLQy0yF6cZF5lAXNQLNcDFJ2RrkS_sU0JVVwQmjUyUqCA2NlZCGa2dAIxlTaLTNglqDkrtS5xjp425BFMHmS6B6ZKnsmS6RKa3ydvmK8uqvsdtxAMUi4YQS3OXN2B5pd_psqszbJMYZZmBiTuVgbybNBWmF2vHuW2TFyhUEotvLDC651xdFYX8cHwk-wng1x6qyDZ544lcDjPQyidLwDpgva4Nyr0NShA5vTH8CmR344kn_c8SE0tnhQwi0MBBFP7i8DO1dEuvxQp5veee3T68S-7h-mAcTcj3yNZ6dWWfA1hbZx3SSscHHb8v8XM8_XbaKV0f_wAT00Q3 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF615VAuCAqIQIEVoiAhWfV67Y2NhFAamqYkKRJ9qLdlvY8SKY1DnAL9U_wOfhYzfrXh0FuP9k4c787s7Izn8RHyWojEmlAwz0Vt62FgzlM-Dz0OvMYGS8w5dBRHB6J_HH4-jU5XyJ-6FgbTKmudWChqk2n8Rr4NKpaF2A1NfJz98BA1CqOrNYRGKRYDe_kLXLb8w_4n4O9WEPR2j7p9r0IV8HQU-AtPgAUQamXi1DKnrYOLgDvNHFfMJgpMAhdpMJtMGgdapC6MUyZSged0EmgwX-C5q-ROyHmCOyru7TUOHsbo0METse8hIlQZRQUbKdxWeuYx8Nfg0GAgmYgxcu0cLOACmkNh9TvmZP53NBTnXe8-uVcZqrRTStYDsmKnG2S9W-PDbZDWCOztbF58lqdvaHcyBuO3uHpI_papfQXXaeYoWJl0XMOh4I1r9XXwJ-CTmzJ1jAJ9jj66UfNLWkJOaaoszCGb0KbSkqqpaUaxWBT8fTrDuMIcG8RSzOY_o_Y3BufHC5qPzyuUsvw9NVdpUvWrnewcenu73cEXip3QzzFDqCpPfUSOb4W7j8naNJvaJ4SqtvBNzA2PlB8aGyqhjNZOgEVnTaTjFvFrDkpdNVRHXI-JBMcKmS6B6ZLFsmC6RKa3yLvmJ7Oym8hNxDsoFg0hNgIvbsDyykqvyLZOEZSRp6mBiTuVwu4ycSxMEmrHmG2RVyhUElt9TDGX6Exd5LncP_wqOxFYywkq5BZ5WxG5DGagVVWaAeuA3cGWKDeXKEHk9NLwFsju0hv3O0OJZazjXPoc9L3Pg58MHlNLt6x0Zi6vdvjTm4dfkvX-0Wgoh_sHg2fkLq4VZvAEbJOsLeYX9jmYiYv0RbE3Kfl228rgHyjGfNY |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Jb9NAFB61qQRcWAqIQIERoiAhufF4mThICCVpQ0KbspRCb8N4lhKRxiFOgPLT-AX8B_4M73lJmx5664Gj7Yljv3mr3_IR8pjzhtEBZ44N68bBxJwjXT9wfNhrHLDErMVAsb_Lu_vB64PwYIn8LnthsKyy1ImZotaJwm_kNVCxLMBpaLxmi7KIt5udl-NvDiJIYaa1hNPIWWTbHP-A8C190duEvV73vM7Wh3bXKRAGHBV67tTh4A0ESuooNswqY-HA861i1pfMNCS4BzZU4ELpOPIUj20QxYzHHG12w1PgysB9l8lKxKPQq5CVVqf_7tM83MOMHYZ7PHIdxIfKc6rgMQU1qcYOg-gNTAgDPkXEkVNWMQMPmJuI5S9YoXnGUGTWr3ON_C3plhe9fN2YTeMN9evMSMn_k7DXydXCKafNXIpukCUzWiWX2yUW3iqp9iG2SCZZCoI-oe3hABz97Ogm-ZOXMWYcThNLwaOmgxL6BU-c6iWEP1EJFgmgsFNYn-L3CC0nxzSH11JUGtihZEjnXaVUjvT8KjbGDkxKx5hDmeAwXIqdC4fU_MRChMGUpoOjApEtfU71SUlY-WgfW3vOq6329huKU9-PsBqqaMW9RfYvhMi3SWWUjMwdQmWduzrytR9KN9AmkFxqpSwH79XoUEVV4pb8KVQxPB4xTIYCgkhkaQEsLVgkMpYWyNJV8mz-k3E-OeW8xS1k-vlCHHqenQDyikKHirqKEYDSj2MNL25lDJpERxHXjUBZxkyVPEKRETjWZIR8fChnaSp6e-9FM4TIoIHGp0qeFotsAm-gZNGGAnTASWgLK9cWVgLLqYXL6yCZC0_cbe4IbNkdpML1wba5vvedwW1KuROFfUjFidDdPf_yQ3IJpFHs9Ha375ErSCosVvLYGqlMJzNzHzziafygUD2UfL5oofwHWu7KQA |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Exploration+of+the+influence+of+environmental+conditions+on+secondary+organic+aerosol+formation+and+organic+species+properties+using+explicit+simulations%3A+development+of+the+VBS-GECKO+parameterization&rft.jtitle=Atmospheric+chemistry+and+physics&rft.au=Lannuque%2C+Victor&rft.au=Camredon%2C+Marie&rft.au=Couvidat%2C+Florian&rft.au=Hodzic%2C+Alma&rft.date=2018-09-21&rft.pub=Copernicus+GmbH&rft.issn=1680-7316&rft.eissn=1680-7324&rft.volume=18&rft.issue=18&rft.spage=13411&rft.epage=13428&rft_id=info:doi/10.5194%2Facp-18-13411-2018&rft.externalDBID=HAS_PDF_LINK |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1680-7324&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1680-7324&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1680-7324&client=summon |