Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.18671/SCIFOR.V49N130.03 http://hdl.handle.net/11449/233165 |
Resumo: | The main objective of this work was to adjust moisture prediction models for logwood piles (6.2 m of length) of Eucalyptus urophylla stocked during two storage periods- a dry season and a rainy season - in the center-south of the State of São Paulo. For this purpose, the moisture content was indirectly estimated by daily weighing of the logs on fixed scales designed for this purpose during 160 days of storage. In the development of the equations, the multiple linear regression technique was used with stepwise selection of variables. The moisture prediction models showed that the variables, relative air humidity and number of days (storage time), can be used to estimate the moisture content of the wood (R2aj.> 92%). The logs stocked during the period called dry season in the study region (542 mm of rain) showed a lower final moisture content - 31.1% (wet basis) in relation to the logs stored in the rainy season (919 mm of rain) with final moisture content of 36.4% (wet basis). |
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Repositório Institucional da UNESP |
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Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storagePredição do teor de umidade de toras longas de madeira de Eucalyptus urophylla estocadas em pilhas ao ar livreAir-dryingEucalyptus urophyllaMeteorological variablesSeasons of the yearThe main objective of this work was to adjust moisture prediction models for logwood piles (6.2 m of length) of Eucalyptus urophylla stocked during two storage periods- a dry season and a rainy season - in the center-south of the State of São Paulo. For this purpose, the moisture content was indirectly estimated by daily weighing of the logs on fixed scales designed for this purpose during 160 days of storage. In the development of the equations, the multiple linear regression technique was used with stepwise selection of variables. The moisture prediction models showed that the variables, relative air humidity and number of days (storage time), can be used to estimate the moisture content of the wood (R2aj.> 92%). The logs stocked during the period called dry season in the study region (542 mm of rain) showed a lower final moisture content - 31.1% (wet basis) in relation to the logs stored in the rainy season (919 mm of rain) with final moisture content of 36.4% (wet basis).Universidade Estadual Paulista - UNESPUniversidade Estadual Paulista - UNESPUniversidade Estadual Paulista (UNESP)de Jesus Eufrade-Junior, Humberto [UNESP]Rodrigues, Sérgio Augusto [UNESP]Spadim, Emanuel Rangel [UNESP]Guerra, Saulo Philipe Sebastião [UNESP]Ballarin, Adriano Wagner [UNESP]2022-05-01T05:29:26Z2022-05-01T05:29:26Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.18671/SCIFOR.V49N130.03Scientia Forestalis/Forest Sciences, v. 49, n. 130, 2021.1413-9324http://hdl.handle.net/11449/23316510.18671/SCIFOR.V49N130.032-s2.0-85108090045Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporScientia Forestalis/Forest Sciencesinfo:eu-repo/semantics/openAccess2024-04-30T14:00:34Zoai:repositorio.unesp.br:11449/233165Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:09:47.145768Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage Predição do teor de umidade de toras longas de madeira de Eucalyptus urophylla estocadas em pilhas ao ar livre |
title |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage |
spellingShingle |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage de Jesus Eufrade-Junior, Humberto [UNESP] Air-drying Eucalyptus urophylla Meteorological variables Seasons of the year |
title_short |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage |
title_full |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage |
title_fullStr |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage |
title_full_unstemmed |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage |
title_sort |
Predicting moisture content of long length log piles of Eucalyptus urophylla under outdoor storage |
author |
de Jesus Eufrade-Junior, Humberto [UNESP] |
author_facet |
de Jesus Eufrade-Junior, Humberto [UNESP] Rodrigues, Sérgio Augusto [UNESP] Spadim, Emanuel Rangel [UNESP] Guerra, Saulo Philipe Sebastião [UNESP] Ballarin, Adriano Wagner [UNESP] |
author_role |
author |
author2 |
Rodrigues, Sérgio Augusto [UNESP] Spadim, Emanuel Rangel [UNESP] Guerra, Saulo Philipe Sebastião [UNESP] Ballarin, Adriano Wagner [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
de Jesus Eufrade-Junior, Humberto [UNESP] Rodrigues, Sérgio Augusto [UNESP] Spadim, Emanuel Rangel [UNESP] Guerra, Saulo Philipe Sebastião [UNESP] Ballarin, Adriano Wagner [UNESP] |
dc.subject.por.fl_str_mv |
Air-drying Eucalyptus urophylla Meteorological variables Seasons of the year |
topic |
Air-drying Eucalyptus urophylla Meteorological variables Seasons of the year |
description |
The main objective of this work was to adjust moisture prediction models for logwood piles (6.2 m of length) of Eucalyptus urophylla stocked during two storage periods- a dry season and a rainy season - in the center-south of the State of São Paulo. For this purpose, the moisture content was indirectly estimated by daily weighing of the logs on fixed scales designed for this purpose during 160 days of storage. In the development of the equations, the multiple linear regression technique was used with stepwise selection of variables. The moisture prediction models showed that the variables, relative air humidity and number of days (storage time), can be used to estimate the moisture content of the wood (R2aj.> 92%). The logs stocked during the period called dry season in the study region (542 mm of rain) showed a lower final moisture content - 31.1% (wet basis) in relation to the logs stored in the rainy season (919 mm of rain) with final moisture content of 36.4% (wet basis). |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 2022-05-01T05:29:26Z 2022-05-01T05:29:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.18671/SCIFOR.V49N130.03 Scientia Forestalis/Forest Sciences, v. 49, n. 130, 2021. 1413-9324 http://hdl.handle.net/11449/233165 10.18671/SCIFOR.V49N130.03 2-s2.0-85108090045 |
url |
http://dx.doi.org/10.18671/SCIFOR.V49N130.03 http://hdl.handle.net/11449/233165 |
identifier_str_mv |
Scientia Forestalis/Forest Sciences, v. 49, n. 130, 2021. 1413-9324 10.18671/SCIFOR.V49N130.03 2-s2.0-85108090045 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Scientia Forestalis/Forest Sciences |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128470405873664 |