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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3E7URUH
Repositorydpi.inpe.br/plutao/2013/05.31.19.37
Last Update2013:07.16.19.17.51 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2013/05.31.19.37.48
Metadata Last Update2018:06.04.23.39.10 (UTC) administrator
DOI1 0.5923/j. ajee .20130301.08
ISSN2166-4633
2166-465X
Labellattes: 5142426481528206 3 RobertiAnfoCampDegr:2013:EnApEm
Citation KeyRobertiAnfoCampDegr:2013:EnApEm
TitleEntropic approach for emission rate estimation of area pollutant sources
ProjectCNPq (20.0046/04-7)
Year2013
Access Date2024, May 17
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size395 KiB
2. Context
Author1 Roberti, Débora R
2 Anfossi, Domenico
3 Campos Velho, Haroldo Fraga de
4 Degrazia, Gervásio Annes
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHC3
Group1
2
3 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Department of Physics, Federal University of Santa Maria (UFSM), Santa Maria, 97105-900, Brazil
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Department of Physics, Federal University of Santa Maria (UFSM), Santa Maria, 97105-900, Brazil
Author e-Mail Address1
2
3 haroldo@lac.inpe.br
e-Mail Addressharoldo@lac.inpe.br
JournalAmerican Journal of Environmental Engineering
Volume3
Number1
Pages56-62
History (UTC)2013-05-31 19:37:48 :: lattes -> administrator ::
2018-06-04 23:39:10 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsatmospheric pollutant
source identification
inverse problems
entropic regularization
AbstractThe estimation of the area source pollutant strength is a relevant issue for atmospheric environment. This characterizes an inverse problem in the atmospheric pollution dispersion. In the inverse analysis, an area source domain is considered, where the strength of such area source term is assumed unknown. The inverse problem is formulated as a non-linear optimization approach, whose objective function is given by the square difference between the measured pollutant concentration and the mathematical models, associated with a regularization operator. The forward problem is addressed by a source-receptor scheme, where a regressive Lagrangian model is applied to compute the transition matrix. A quasi-Newton method is employed for minimizing the objective function. The second order maximum entropy regularization is used, and the regularization parameter is calculated by the L-curve technique. This inverse problem methodology is tested with synthetic observational data, producing good inverse solutions.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Entropic approach for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/3E7URUH
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3E7URUH
Languageen
Target File10.5923.j.ajee.20130301.08.pdf
User Groupadministrator
lattes
marciana
self-uploading-INPE-MCTI-GOV-BR
Reader Groupadministrator
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
URL (untrusted data)http://article.sapub.org/10.5923.j.ajee.20130301.08.html
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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