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The search expression was <secondaryty li and ref section and firstg LAC-CTE-INPE-MCTI-GOV-BR and y 2012 and isb *>.
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Search local date and time: 29/01/2023 13:33.
1. Identity statement
Reference TypeBook Section
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C643U2
Repositorydpi.inpe.br/plutao/2012/06.21.20.42
Last Update2012:08.23.11.40.06 (UTC) secretaria.cpa@dir.inpe.br
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.20.42.49
Metadata Last Update2018:06.05.00.01.49 (UTC) administrator
ISBN9789535104
Labellattes: 5142426481528206 1 CamposVelhoRobeLuzPaes:2012:StEsGa
Citation KeyCamposVelhoRobeLuzPaes:2012:StEsGa
TitleStrategies for Estimation of Gas Mass Flux Rate Between Surface and the Atmosphere
Year2012
Access Date2023, Jan. 29
Secondary TypePRE LI
Number of Files1
Size811 KiB
2. Context
Author1 Campos Velho, Haroldo Fraga de
2 Roberti, Débora R
3 Luz, Eduardo Fávero Pacheco da
4 Paes, Fabiana Ferreira
Group1 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 haroldo@lac.inpe.br
EditorKhare, Mukesh
e-Mail Addressharoldo@lac.inpe.br
Book TitleAir Pokkution - Monitoring, Modeling and Health
PublisherInTech
CityRijeka
Pages259-280
History (UTC)2012-06-22 00:11:01 :: lattes -> secretaria.cpa@dir.inpe.br :: 2012
2012-08-23 11:50:22 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2018-06-05 00:01:49 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsGas flux surface-atmosphere estimation
Entropic regularized solution
Artificial neural network
Quasi-Newton optimization
Particle Swarm Optimization
Inverse air pollution problem
AbstractA relevant issue nowadays is the monitoring and identification of the concentration and rate flux of the gases from the greenhouse effect. Most of these minority gases belong to important bio-geochemical cycles between the planet surface and the atmosphere. Therefore, there is an intense research agenda on this topic. Here, we are going to describe the effort for addressing this challenging. This identification problem can be formulated as an inverse problem. The problem for identifying the minority gas emission rate for the system ground-atmosphere is an important issue for the bio-geochemical cycle, and it has being intensively investigated. This inverse problem has been solved using regularized solutions (Kasibhatla, 2000), Bayes estimation (Enting, 2002; Gimson & Uliasz, 2003), and variational methods (Elbern et al., 2007) the latter approach coming from the data assimilation studies. The inverse solution could be computed by calculating the regularized solutions. Regularization is a general mathematical procedure for dealing with inverse problems, looking for the smoothest (regular) inverse solution. For this approach, the inverse problem can be formulated as an optimization problem with constrains (a priori information). These constrains can be added to the objective function with the help of a regularization parameter. For adding a regularization operator, the ill-posed inverse problem becomes in a well-posed one. The maximum second order entropy principle was used as a regularization operator (Ramos et al., 1999), and the regularization parameter is found by the L-curve technique. A recent approach for solving inverse problems is provided by the use of artificial neural networks (ANN). Neural networks are non-linear mappings, and it is possible to design an ANN to be one inverse operator, with robustness to deal on noisy data. We have applied two different strategies for addressing the inverse problem: formulated as an optimization problem, and neural network. The optimization problem has been solved by using a deterministic method (quasi-Newton), implementation used in the E04UCF routine (NAG, 1995) see Roberti et al. (2007), and applying a stochastic scheme (Particle Swarm Optimization: PSO) (Luz et al., 2007). The PSO is a meta-heuristic based on the collaborative behaviour of biological populations. The algorithm is based on the swarm theory, proposed by Kennedy & Eberhart (1995) and is inspired in the flying pattern of birds which can be achieve by manipulating inter-individual distances to synchronize the swarm behaviour. The swarm theory is then combined with a social-cognitive theory. The multilayer perceptron neural network (MLP-NN) with 2 hidden layers (with 15 and 30 neurons) was applied to estimate the rate of surface emission of a greenhouse gas (Paes et al., 2010). The input for the ANN is the gas concentration measured on a set of points.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Strategies for Estimation...
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/3C643U2
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/3C643U2
Languageen
Target FileInTech-Strategies_for_estimation.pdf
User Grouplattes
secretaria.cpa@dir.inpe.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
URL (untrusted data)http://www.intechopen.com/books/air-pollution-monitoring-modelling-and-health/strategies-for-estimation-of-gas-mass-flux-rate-between-surface-and-the-atmosphere-
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition format issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator versiontype volume
7. Description control
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1. Identity statement
Reference TypeBook Section
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3CFTERS
Repositorysid.inpe.br/mtc-m19/2012/08.21.13.16   (restricted access)
Last Update2017:07.24.15.13.25 (UTC) marciana
Metadata Repositorysid.inpe.br/mtc-m19/2012/08.21.13.16.47
Metadata Last Update2018:06.05.04.12.52 (UTC) administrator
Secondary KeyINPE--/
ISBN978-0-8176-8393-1
Citation KeyDominguesGomeRousSchn:2012:SpAdMu
TitleSpace-Time Adaptive Mutilresolution Techniques for Compressible Euler Equations
Year2012
Access Date2023, Jan. 29
Secondary TypePRE LI
Number of Files1
Size792 KiB
2. Context
Author1 Domingues, M. O
2 Gomes, S. M
3 Roussel, O.
4 Schneider, K.
Group1 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
EditorKubrusly, Carlos S.
Moura, Carlos A.
Book TitleThe Courant–Friedrichs–Lewy (CFL) Condition: 80 Years After its Discovery
PublisherSpringer
Pages175
History (UTC)2012-12-28 13:23:42 :: marciana -> administrator :: 2012
2013-09-22 23:21:30 :: administrator -> marciana :: 2012
2017-07-24 15:13:27 :: marciana -> administrator :: 2012
2018-06-05 04:12:52 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsspace-time adaptive mutilresolution techniques
Euler equations
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Space-Time Adaptive Mutilresolution...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 21/08/2012 10:16 1.8 KiB 
4. Conditions of access and use
Languageen
Target Filedomingues.pdf
User Groupmarciana
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3ESGTTP
DisseminationBNDEPOSITOLEGAL
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsabstract archivingpolicy archivist callnumber city copyholder copyright creatorhistory descriptionlevel doi e-mailaddress edition electronicmailaddress format issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder secondarydate secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator url volume
7. Description control
e-Mail (login)marciana
update