Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production

Detalhes bibliográficos
Autor(a) principal: Valentim,Larissa Benassi
Data de Publicação: 2019
Outros Autores: Tomeleri,João Otávio Poletto, Thiersch,Cláudio Roberto, Thiersch,Monica Fabiana Bento Moreira, Alesi,Leticia Sant'Anna, Varanda,Luciano Donizeti, Almeida,Roberto Emídio Ponciano de, Yamaji,Fabio Minoru, Pádua,Franciane Andrade de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005100107
Resumo: ABSTRACT The aim of this study was to apply geostatistics to predict the spatial pattern of variations in moisture content of eucalyptus wood chip piles to generate subsidies for adequate sampling and material handling. Wood chip piles were installed in three different storage cycles using newly cut material for 7, 30, and 60 days. Sampling was performed in axial (top, middle, and base) and lateral positions, so that all samples were georeferenced in relation to the distance from the ground and the center of the pile. Moisture values were submitted to geostatistical analysis and kriging. The results confirmed the spatial dependence of moisture content over the piles stored at 7 and 30 days; however, the effect of rainfall was crucial to reduce the spatial dependence of moisture content. The results showed that geostatistics is a useful tool for the creation of reliable sampling protocols.
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spelling Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Productionspatial dependencekrigingbioenergymoisture contentbiomassABSTRACT The aim of this study was to apply geostatistics to predict the spatial pattern of variations in moisture content of eucalyptus wood chip piles to generate subsidies for adequate sampling and material handling. Wood chip piles were installed in three different storage cycles using newly cut material for 7, 30, and 60 days. Sampling was performed in axial (top, middle, and base) and lateral positions, so that all samples were georeferenced in relation to the distance from the ground and the center of the pile. Moisture values were submitted to geostatistical analysis and kriging. The results confirmed the spatial dependence of moisture content over the piles stored at 7 and 30 days; however, the effect of rainfall was crucial to reduce the spatial dependence of moisture content. The results showed that geostatistics is a useful tool for the creation of reliable sampling protocols.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005100107Floresta e Ambiente v.26 n.spe2 2019reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087.043218info:eu-repo/semantics/openAccessValentim,Larissa BenassiTomeleri,João Otávio PolettoThiersch,Cláudio RobertoThiersch,Monica Fabiana Bento MoreiraAlesi,Leticia Sant'AnnaVaranda,Luciano DonizetiAlmeida,Roberto Emídio Ponciano deYamaji,Fabio MinoruPádua,Franciane Andrade deeng2021-03-19T00:00:00Zoai:scielo:S2179-80872019005100107Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2021-03-19T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
title Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
spellingShingle Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
Valentim,Larissa Benassi
spatial dependence
kriging
bioenergy
moisture content
biomass
title_short Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
title_full Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
title_fullStr Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
title_full_unstemmed Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
title_sort Mapping Three-dimensional Moisture Content of Wood Chip Piles for Energy Production
author Valentim,Larissa Benassi
author_facet Valentim,Larissa Benassi
Tomeleri,João Otávio Poletto
Thiersch,Cláudio Roberto
Thiersch,Monica Fabiana Bento Moreira
Alesi,Leticia Sant'Anna
Varanda,Luciano Donizeti
Almeida,Roberto Emídio Ponciano de
Yamaji,Fabio Minoru
Pádua,Franciane Andrade de
author_role author
author2 Tomeleri,João Otávio Poletto
Thiersch,Cláudio Roberto
Thiersch,Monica Fabiana Bento Moreira
Alesi,Leticia Sant'Anna
Varanda,Luciano Donizeti
Almeida,Roberto Emídio Ponciano de
Yamaji,Fabio Minoru
Pádua,Franciane Andrade de
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Valentim,Larissa Benassi
Tomeleri,João Otávio Poletto
Thiersch,Cláudio Roberto
Thiersch,Monica Fabiana Bento Moreira
Alesi,Leticia Sant'Anna
Varanda,Luciano Donizeti
Almeida,Roberto Emídio Ponciano de
Yamaji,Fabio Minoru
Pádua,Franciane Andrade de
dc.subject.por.fl_str_mv spatial dependence
kriging
bioenergy
moisture content
biomass
topic spatial dependence
kriging
bioenergy
moisture content
biomass
description ABSTRACT The aim of this study was to apply geostatistics to predict the spatial pattern of variations in moisture content of eucalyptus wood chip piles to generate subsidies for adequate sampling and material handling. Wood chip piles were installed in three different storage cycles using newly cut material for 7, 30, and 60 days. Sampling was performed in axial (top, middle, and base) and lateral positions, so that all samples were georeferenced in relation to the distance from the ground and the center of the pile. Moisture values were submitted to geostatistical analysis and kriging. The results confirmed the spatial dependence of moisture content over the piles stored at 7 and 30 days; however, the effect of rainfall was crucial to reduce the spatial dependence of moisture content. The results showed that geostatistics is a useful tool for the creation of reliable sampling protocols.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005100107
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019005100107
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087.043218
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.26 n.spe2 2019
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
_version_ 1750128143251800064

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