Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods
Geostatistical analyses have been used very little for the study of the variability of environmental conditions under greenhouse conditions. The spatio-temporal temperature variation was assessed inside two types of greenhouses in the Bogota Plateau, Colombia, applying geostatistical methods. A sing...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2009
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/28109
- Acceso en línea:
- https://www.researchgate.net/publication/255729204_Analysis_of_Greenhouse_Air_Temperature_Distribution_Using_Geostatistical_Methods
http://hdl.handle.net/20.500.12010/28109
http://expeditiorepositorio.utadeo.edu.co
- Palabra clave:
- Air temperature
Geostatistics
Greenhouses
Cultivo en invernadero
Plantas de invernadero
Plantas de invernadero
- Rights
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0
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repository_id_str |
|
dc.title.spa.fl_str_mv |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods |
title |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods |
spellingShingle |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods Air temperature Geostatistics Greenhouses Cultivo en invernadero Plantas de invernadero Plantas de invernadero |
title_short |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods |
title_full |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods |
title_fullStr |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods |
title_full_unstemmed |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods |
title_sort |
Analysis of Greenhouse Air Temperature Distribution Using Geostatistical Methods |
dc.subject.spa.fl_str_mv |
Air temperature Geostatistics Greenhouses |
topic |
Air temperature Geostatistics Greenhouses Cultivo en invernadero Plantas de invernadero Plantas de invernadero |
dc.subject.lemb.spa.fl_str_mv |
Cultivo en invernadero Plantas de invernadero Plantas de invernadero |
description |
Geostatistical analyses have been used very little for the study of the variability of environmental conditions under greenhouse conditions. The spatio-temporal temperature variation was assessed inside two types of greenhouses in the Bogota Plateau, Colombia, applying geostatistical methods. A single-layer polyethylene greenhouse (PGH, 5100 m 2), naturally ventilated through a fixed open ridge over the complete length of the roof, and a single-layer polyethylene greenhouse with automated roof ventilation (RPGH, 9792 m 2) were selected for the research. In the PGH, a horizontal grid of sensors consisting of 30 measurement locations was installed, and in the RPGH, a 35-sensor horizontal grid was installed across the greenhouse. Hourly temperature measurements over 28 days were used to perform the analyses. Isotropic classical semivariograms were constructed. Spherical, cubic, rational quadratic, Gaussian, circular, and exponentialsemivariogram models were evaluated to fit each dataset, and an ordinary kriging method was used to predict temperature values. A circular model was selected to represent the spatial variability of greenhouse temperatures for almost all hours of the day. The highest horizontal temperature gradients inside each greenhouse were found between 08:00 and 16:00 h. Horizontal differences of up to 3.2°C were predicted for the PGH, while the maximum difference predicted for the RPGH was 3.5°C. The results suggest important temperature distribution gradients that have to be accounted for when studying the response of biological processes inside greenhouse environments. Geostatistical methods proved to be a useful tool for the study of the distribution of climate variables such as the temperature inside greenhouses. The possibilities offered by geostatistics to assess the greenhouse environment include better management practices and improved productivity. © 2009 American Society of Agricultural and Biological Engineers. |
publishDate |
2009 |
dc.date.created.none.fl_str_mv |
2009 |
dc.date.accessioned.none.fl_str_mv |
2022-09-15T16:36:06Z |
dc.date.available.none.fl_str_mv |
2022-09-15T16:36:06Z |
dc.type.local.spa.fl_str_mv |
Artículo |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
format |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.spa.fl_str_mv |
0001-2351 |
dc.identifier.other.spa.fl_str_mv |
https://www.researchgate.net/publication/255729204_Analysis_of_Greenhouse_Air_Temperature_Distribution_Using_Geostatistical_Methods |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12010/28109 |
dc.identifier.repourl.spa.fl_str_mv |
http://expeditiorepositorio.utadeo.edu.co |
identifier_str_mv |
0001-2351 |
url |
https://www.researchgate.net/publication/255729204_Analysis_of_Greenhouse_Air_Temperature_Distribution_Using_Geostatistical_Methods http://hdl.handle.net/20.500.12010/28109 http://expeditiorepositorio.utadeo.edu.co |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0 |
dc.rights.local.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0 Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.spa.fl_str_mv |
text/html |
dc.coverage.spatial.spa.fl_str_mv |
Colombia |
dc.publisher.spa.fl_str_mv |
Universidad de Bogotá Jorge Tadeo Lozano |
dc.source.spa.fl_str_mv |
instname:Universidad Jorge Tadeo Lozano reponame:Repositorio Institucional UJTL |
instname_str |
Universidad Jorge Tadeo Lozano |
institution |
Universidad de Bogotá Jorge Tadeo Lozano |
reponame_str |
Repositorio Institucional UJTL |
collection |
Repositorio Institucional UJTL |
bitstream.url.fl_str_mv |
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/28109/2/license.txt https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/28109/3/Captura.PNG |
bitstream.checksum.fl_str_mv |
baba314677a6b940f072575a13bb6906 3101454dded358f5ef1a7157e0493688 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional - Universidad Jorge Tadeo Lozano |
repository.mail.fl_str_mv |
expeditiorepositorio@utadeo.edu.co |
_version_ |
1814213623016325120 |
spelling |
http://creativecommons.org/licenses/by-nc-nd/4.0EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DE BOGOTA JORGE TADEO LOZANO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DE BOGOTÁ JORGE TADEO LOZANO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. Para el correcto ejercicio de mi derecho de habeas data cuento con la cuenta de correo protecciondatos@utadeo.edu.co, donde previa identificación podré solicitar la consulta, corrección y supresión de mis datosAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Colombia2022-09-15T16:36:06Z2022-09-15T16:36:06Z20090001-2351https://www.researchgate.net/publication/255729204_Analysis_of_Greenhouse_Air_Temperature_Distribution_Using_Geostatistical_Methodshttp://hdl.handle.net/20.500.12010/28109http://expeditiorepositorio.utadeo.edu.coGeostatistical analyses have been used very little for the study of the variability of environmental conditions under greenhouse conditions. The spatio-temporal temperature variation was assessed inside two types of greenhouses in the Bogota Plateau, Colombia, applying geostatistical methods. A single-layer polyethylene greenhouse (PGH, 5100 m 2), naturally ventilated through a fixed open ridge over the complete length of the roof, and a single-layer polyethylene greenhouse with automated roof ventilation (RPGH, 9792 m 2) were selected for the research. In the PGH, a horizontal grid of sensors consisting of 30 measurement locations was installed, and in the RPGH, a 35-sensor horizontal grid was installed across the greenhouse. Hourly temperature measurements over 28 days were used to perform the analyses. Isotropic classical semivariograms were constructed. Spherical, cubic, rational quadratic, Gaussian, circular, and exponentialsemivariogram models were evaluated to fit each dataset, and an ordinary kriging method was used to predict temperature values. A circular model was selected to represent the spatial variability of greenhouse temperatures for almost all hours of the day. The highest horizontal temperature gradients inside each greenhouse were found between 08:00 and 16:00 h. Horizontal differences of up to 3.2°C were predicted for the PGH, while the maximum difference predicted for the RPGH was 3.5°C. The results suggest important temperature distribution gradients that have to be accounted for when studying the response of biological processes inside greenhouse environments. Geostatistical methods proved to be a useful tool for the study of the distribution of climate variables such as the temperature inside greenhouses. The possibilities offered by geostatistics to assess the greenhouse environment include better management practices and improved productivity. © 2009 American Society of Agricultural and Biological Engineers.text/htmlengUniversidad de Bogotá Jorge Tadeo Lozanoinstname:Universidad Jorge Tadeo Lozanoreponame:Repositorio Institucional UJTLAir temperatureGeostatisticsGreenhousesCultivo en invernaderoPlantas de invernaderoPlantas de invernaderoAnalysis of Greenhouse Air Temperature Distribution Using Geostatistical MethodsArtículohttp://purl.org/coar/resource_type/c_6501Bojacá, Carlos RicardoGil, RodrigoGómez, SandraLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/28109/2/license.txtbaba314677a6b940f072575a13bb6906MD52open accessTHUMBNAILCaptura.PNGCaptura.PNGImagenimage/png37455https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/28109/3/Captura.PNG3101454dded358f5ef1a7157e0493688MD53open access20.500.12010/28109oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/281092022-09-15 11:36:39.162metadata only accessRepositorio Institucional - Universidad Jorge Tadeo Lozanoexpeditiorepositorio@utadeo.edu.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 |