Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas

Detalhes bibliográficos
Autor(a) principal: Scuderi, Carlos Marcelo
Data de Publicação: 2011
Outros Autores: Villanueva, Adolfo O.N., Marques, David Manuel Lelinho da Motta
Tipo de documento: Artigo
Idioma: spa
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/248330
Resumo: Evapotranspiration (ET) is usually the main output of hydrological cycle hence its quantification is impor-tant for water resources management. This paper presents a methodology for estimating indirectly the daily ET rates from a macrophyte under humid temperate weather. Simultaneously was implemented an experi-ment where the mean daily measured ET rate was 5.2 mm day-1. Because the ET rate is a function of cli-matic, soil and vegetation characteristics, and that usually only the first one are recorded routinely, the daily ET rates were studied based on 12 measured meteorological variables (including solar radiation, tempera-ture, relative humidity, wind speed and atmospheric pressure). Single and multiple linear regression models was implemented to assess the correlation between measured ET rates and weather variables. The regression analysis indicates that solar radiation is the variable that best explains the process of ET (R2 = 0.54). When more variables are considered in addition to radiation, appear variables related to air temperature (minimum temperature, dew point temperature and maximum temperature). Use of multiple variables increased signifi-cantly the coefficient of determination (R2 = 0.72). Using more variables does not improve results.
id UFRGS-2_61a5564d5c8f6fe98a28d71f995aaca0
oai_identifier_str oai:www.lume.ufrgs.br:10183/248330
network_acronym_str UFRGS-2
network_name_str Repositório Institucional da UFRGS
repository_id_str
spelling Scuderi, Carlos MarceloVillanueva, Adolfo O.N.Marques, David Manuel Lelinho da Motta2022-08-31T04:56:05Z20111514-2906http://hdl.handle.net/10183/248330000857542Evapotranspiration (ET) is usually the main output of hydrological cycle hence its quantification is impor-tant for water resources management. This paper presents a methodology for estimating indirectly the daily ET rates from a macrophyte under humid temperate weather. Simultaneously was implemented an experi-ment where the mean daily measured ET rate was 5.2 mm day-1. Because the ET rate is a function of cli-matic, soil and vegetation characteristics, and that usually only the first one are recorded routinely, the daily ET rates were studied based on 12 measured meteorological variables (including solar radiation, tempera-ture, relative humidity, wind speed and atmospheric pressure). Single and multiple linear regression models was implemented to assess the correlation between measured ET rates and weather variables. The regression analysis indicates that solar radiation is the variable that best explains the process of ET (R2 = 0.54). When more variables are considered in addition to radiation, appear variables related to air temperature (minimum temperature, dew point temperature and maximum temperature). Use of multiple variables increased signifi-cantly the coefficient of determination (R2 = 0.72). Using more variables does not improve results.La evapotranspiración (ET) es, generalmente, la principal variable de salida del ciclo hidrológico; siendo de importancia su cuantificación para el gerenciamiento del recurso hídrico. En este trabajo se presenta una metodología para estimar indirectamente la tasa diaria de ET de una macrófita bajo condiciones de clima templado húmedo. Paralelamente, se implementó un experimento con tanques enterrados donde se obtuvo una tasa de ET media diaria de 5.2 mm día-1. Dado que la tasa de ET es función de características climáticas, de suelo y de la vegetación; y que de éstos usualmente se registran rutinariamente las primeras, se estudia la tasa de ET en función de 12 variables meteorológicas medidas in situ (entre ellas radiación solar, temperaturas, humedad relativa, velocidad del viento y presión atmosférica). Se implementaron modelos de regresión lineal simple y múltiple para evaluar el grado de correlación entre las tasas de ET medidas experimentalmente y las variables meteorológicas. El análisis de las regresiones indica que la radiación solar recibida es la variable individual que mejor explica el proceso de ET (R2 = 0.54), mientras que cuando se considera mayor número de variables, además de la radiación, intervienen variables relacionadas con la temperatura del aire (temperatura mínima, temperatura del punto de rocío y temperatura máxima) incrementando apreciablemente el coeficiente de determinación (R2 = 0.72). La introducción de un número de variables mayor a cuatro no produce mejoras sustanciales en los resultados.application/pdfspaCuadernos del Curiham. Rosario. Vol. 17 (2011), p. 43-58EvapotranspiraçãoMacrófitas aquáticasDados meteorologicosEvapotranspirationMeteorological variablesMacrophytesTasa diaria de evapotranspiración para una macrófita empleando variables meteorológicasEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT000857542.pdf.txt000857542.pdf.txtExtracted Texttext/plain57917http://www.lume.ufrgs.br/bitstream/10183/248330/2/000857542.pdf.txtd9428ae45a9062ce9bd7a319c3075e49MD52ORIGINAL000857542.pdfTexto completo (espanhol)application/pdf963739http://www.lume.ufrgs.br/bitstream/10183/248330/1/000857542.pdfd835603e6b6359c36563d70f19e51a0eMD5110183/2483302023-08-20 03:41:31.857562oai:www.lume.ufrgs.br:10183/248330Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-08-20T06:41:31Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
title Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
spellingShingle Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
Scuderi, Carlos Marcelo
Evapotranspiração
Macrófitas aquáticas
Dados meteorologicos
Evapotranspiration
Meteorological variables
Macrophytes
title_short Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
title_full Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
title_fullStr Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
title_full_unstemmed Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
title_sort Tasa diaria de evapotranspiración para una macrófita empleando variables meteorológicas
author Scuderi, Carlos Marcelo
author_facet Scuderi, Carlos Marcelo
Villanueva, Adolfo O.N.
Marques, David Manuel Lelinho da Motta
author_role author
author2 Villanueva, Adolfo O.N.
Marques, David Manuel Lelinho da Motta
author2_role author
author
dc.contributor.author.fl_str_mv Scuderi, Carlos Marcelo
Villanueva, Adolfo O.N.
Marques, David Manuel Lelinho da Motta
dc.subject.por.fl_str_mv Evapotranspiração
Macrófitas aquáticas
Dados meteorologicos
topic Evapotranspiração
Macrófitas aquáticas
Dados meteorologicos
Evapotranspiration
Meteorological variables
Macrophytes
dc.subject.eng.fl_str_mv Evapotranspiration
Meteorological variables
Macrophytes
description Evapotranspiration (ET) is usually the main output of hydrological cycle hence its quantification is impor-tant for water resources management. This paper presents a methodology for estimating indirectly the daily ET rates from a macrophyte under humid temperate weather. Simultaneously was implemented an experi-ment where the mean daily measured ET rate was 5.2 mm day-1. Because the ET rate is a function of cli-matic, soil and vegetation characteristics, and that usually only the first one are recorded routinely, the daily ET rates were studied based on 12 measured meteorological variables (including solar radiation, tempera-ture, relative humidity, wind speed and atmospheric pressure). Single and multiple linear regression models was implemented to assess the correlation between measured ET rates and weather variables. The regression analysis indicates that solar radiation is the variable that best explains the process of ET (R2 = 0.54). When more variables are considered in addition to radiation, appear variables related to air temperature (minimum temperature, dew point temperature and maximum temperature). Use of multiple variables increased signifi-cantly the coefficient of determination (R2 = 0.72). Using more variables does not improve results.
publishDate 2011
dc.date.issued.fl_str_mv 2011
dc.date.accessioned.fl_str_mv 2022-08-31T04:56:05Z
dc.type.driver.fl_str_mv Estrangeiro
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://hdl.handle.net/10183/248330
dc.identifier.issn.pt_BR.fl_str_mv 1514-2906
dc.identifier.nrb.pt_BR.fl_str_mv 000857542
identifier_str_mv 1514-2906
000857542
url http://hdl.handle.net/10183/248330
dc.language.iso.fl_str_mv spa
language spa
dc.relation.ispartof.pt_BR.fl_str_mv Cuadernos del Curiham. Rosario. Vol. 17 (2011), p. 43-58
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/248330/2/000857542.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/248330/1/000857542.pdf
bitstream.checksum.fl_str_mv d9428ae45a9062ce9bd7a319c3075e49
d835603e6b6359c36563d70f19e51a0e
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv
_version_ 1801225067889164288