Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Manancial - Repositório Digital da UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/15099 |
Resumo: | Solar radiation (Rs) is the most important source of energy in nature and directly influences the evapotranspiration process. There are many ways of estimating solar radiation and evapotranspiration, however, they require a range of data, often unavailable. Given that, in the absence of observed Rs data, it is possible to estimate them using mathematical models. Overall, the models vary in degree of complexity as well as in the adjustment coefficients, and they must be calibrated to the place of interest to obtain the best performance. In this sense, the main purpose of this study is to evaluate the performance of models for the estimation of global solar radiation and reference evapotranspiration on a daily scale, based on limited meteorological data, for the region of Santa Maria - RS. The data were taken from the automatic meteorological station (EMA) of the Instituto Nacional de Meteorologia (INMET), located in the city of Santa Maria - RS. Ten models were evaluated in the estimations of global solar radiation, where five models with calibrated coefficients were used and adjusted through the software TableCurve 2D and, five models had the coefficients determined by the authors. Then, the reference evapotranspiration was estimated using the Penman Monteith method, adopting the solar radiation data measured at the station, which were considered as standard and compared with the solar radiation results estimated by the ten models. The models proposed by Ball (BA), Chen (CH) and Meza and Varas (MV) presented a performance index of 0.80, indicating "optimal" performance for the models with calibration of their coefficients. In this way, they are recommended when there is no availability of measured data at the study site. For the non-calibration models, except the Donatelli and Campbell (DC) model, in which obtained a "good" performance, the other models had an average index of 0.77, indicating a "very good" performance. Considering the estimation of reference evapotranspiration, nine of the ten models presented "excellent" performance. Therefore, it is concluded that there is no need to calibrate the coefficients and all models are indicated for Santa Maria - RS. |
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Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referênciaPerformance of solar radiation estimation models and reference evapotranspirationCalibraçãoEquações simplificadasTemperatura do arModelagemCalibrationSimplified equationsAir temperatureModelingCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLASolar radiation (Rs) is the most important source of energy in nature and directly influences the evapotranspiration process. There are many ways of estimating solar radiation and evapotranspiration, however, they require a range of data, often unavailable. Given that, in the absence of observed Rs data, it is possible to estimate them using mathematical models. Overall, the models vary in degree of complexity as well as in the adjustment coefficients, and they must be calibrated to the place of interest to obtain the best performance. In this sense, the main purpose of this study is to evaluate the performance of models for the estimation of global solar radiation and reference evapotranspiration on a daily scale, based on limited meteorological data, for the region of Santa Maria - RS. The data were taken from the automatic meteorological station (EMA) of the Instituto Nacional de Meteorologia (INMET), located in the city of Santa Maria - RS. Ten models were evaluated in the estimations of global solar radiation, where five models with calibrated coefficients were used and adjusted through the software TableCurve 2D and, five models had the coefficients determined by the authors. Then, the reference evapotranspiration was estimated using the Penman Monteith method, adopting the solar radiation data measured at the station, which were considered as standard and compared with the solar radiation results estimated by the ten models. The models proposed by Ball (BA), Chen (CH) and Meza and Varas (MV) presented a performance index of 0.80, indicating "optimal" performance for the models with calibration of their coefficients. In this way, they are recommended when there is no availability of measured data at the study site. For the non-calibration models, except the Donatelli and Campbell (DC) model, in which obtained a "good" performance, the other models had an average index of 0.77, indicating a "very good" performance. Considering the estimation of reference evapotranspiration, nine of the ten models presented "excellent" performance. Therefore, it is concluded that there is no need to calibrate the coefficients and all models are indicated for Santa Maria - RS.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESA radiação solar (Rs) é a mais importante fonte de energia da natureza e influência diretamente no processo de evapotranspiração. Existem muitas formas de estimativas da radiação solar e da evapotranspiração, no entanto, necessitam de uma série de dados, muitas vezes não disponíveis. Sendo que, na ausência de dados observados de Rs é possível estimá-los mediante a utilização de modelos matemáticos. Em geral, os modelos variam em grau de complexidade e nos coeficientes de ajuste, e esses devem ser calibrados para o local de interesse para obtenção do melhor desempenho. Neste sentido, objetivou-se avaliar o desempenho de modelos para a estimativa da radiação solar global e da evapotranspiração de referência em escala diária, a partir de dados meteorológicos limitados, para a região de Santa Maria - RS. Os dados foram adquiridos da estação meteorológica automática (EMA) do Instituto Nacional de Meteorologia (INMET), localizada na cidade de Santa Maria – RS. Foram avaliados dez modelos no total, nas estimativas de radiação solar global, sendo cinco modelos com coeficientes calibrados, estes ajustados por meio do software TableCurve 2D e, cinco modelos, com os coeficientes determinados pelos autores. Posteriormente realizou-se a estimativa da evapotranspiração de referência pelo método de Penman Monteith, utilizando os dados de radiação solar medidos na estação, sendo esses considerados como padrão e comparados com os resultados de radiação solar estimados pelos dez modelos. Observou-se que, para os modelos com calibração dos seus coeficientes, os modelos propostos por Ball (BA), Chen (CH) e Meza e Varas (MV) apresentaram índice de desempenho de 0,80, indicando “ótimo” desempenho. Dessa forma, são recomendados para uso quando não houver disponibilidade de dados medidos no local de estudo. Para os modelos sem calibração, exceto o modelo de Donatelli e Campbell (DC), que obteve um desempenho “bom”, os demais modelos apresentaram índice em média de 0,77, indicando um desempenho “muito bom”. Na estimativa da evapotranspiração de referência, nove dos dez modelos apresentaram desempenho “excelente”. Sendo assim, conclui-se que não há necessidade de calibração dos coeficientes e que todos os modelos são indicados para Santa Maria – RS.Universidade Federal de Santa MariaBrasilEngenharia AgrícolaUFSMPrograma de Pós-Graduação em Engenharia AgrícolaCentro de Ciências RuraisRobaina, Adroaldo Diashttp://lattes.cnpq.br/8629241691140049Peiter, Marcia Xavierhttp://lattes.cnpq.br/4072803412132476Gomes, Ana Carla dos Santoshttp://lattes.cnpq.br/6321874855275614Buske, Taise Cristinehttp://lattes.cnpq.br/9322900222543250Boscaini, Ricardo2018-12-13T19:38:47Z2018-12-13T19:38:47Z2018-07-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/15099porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2018-12-14T05:01:04Zoai:repositorio.ufsm.br:1/15099Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2018-12-14T05:01:04Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência Performance of solar radiation estimation models and reference evapotranspiration |
title |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência |
spellingShingle |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência Boscaini, Ricardo Calibração Equações simplificadas Temperatura do ar Modelagem Calibration Simplified equations Air temperature Modeling CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
title_short |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência |
title_full |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência |
title_fullStr |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência |
title_full_unstemmed |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência |
title_sort |
Desempenho de modelos de estimativa da radiação solar e evapotranspiração de referência |
author |
Boscaini, Ricardo |
author_facet |
Boscaini, Ricardo |
author_role |
author |
dc.contributor.none.fl_str_mv |
Robaina, Adroaldo Dias http://lattes.cnpq.br/8629241691140049 Peiter, Marcia Xavier http://lattes.cnpq.br/4072803412132476 Gomes, Ana Carla dos Santos http://lattes.cnpq.br/6321874855275614 Buske, Taise Cristine http://lattes.cnpq.br/9322900222543250 |
dc.contributor.author.fl_str_mv |
Boscaini, Ricardo |
dc.subject.por.fl_str_mv |
Calibração Equações simplificadas Temperatura do ar Modelagem Calibration Simplified equations Air temperature Modeling CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
topic |
Calibração Equações simplificadas Temperatura do ar Modelagem Calibration Simplified equations Air temperature Modeling CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
description |
Solar radiation (Rs) is the most important source of energy in nature and directly influences the evapotranspiration process. There are many ways of estimating solar radiation and evapotranspiration, however, they require a range of data, often unavailable. Given that, in the absence of observed Rs data, it is possible to estimate them using mathematical models. Overall, the models vary in degree of complexity as well as in the adjustment coefficients, and they must be calibrated to the place of interest to obtain the best performance. In this sense, the main purpose of this study is to evaluate the performance of models for the estimation of global solar radiation and reference evapotranspiration on a daily scale, based on limited meteorological data, for the region of Santa Maria - RS. The data were taken from the automatic meteorological station (EMA) of the Instituto Nacional de Meteorologia (INMET), located in the city of Santa Maria - RS. Ten models were evaluated in the estimations of global solar radiation, where five models with calibrated coefficients were used and adjusted through the software TableCurve 2D and, five models had the coefficients determined by the authors. Then, the reference evapotranspiration was estimated using the Penman Monteith method, adopting the solar radiation data measured at the station, which were considered as standard and compared with the solar radiation results estimated by the ten models. The models proposed by Ball (BA), Chen (CH) and Meza and Varas (MV) presented a performance index of 0.80, indicating "optimal" performance for the models with calibration of their coefficients. In this way, they are recommended when there is no availability of measured data at the study site. For the non-calibration models, except the Donatelli and Campbell (DC) model, in which obtained a "good" performance, the other models had an average index of 0.77, indicating a "very good" performance. Considering the estimation of reference evapotranspiration, nine of the ten models presented "excellent" performance. Therefore, it is concluded that there is no need to calibrate the coefficients and all models are indicated for Santa Maria - RS. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-13T19:38:47Z 2018-12-13T19:38:47Z 2018-07-16 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/15099 |
url |
http://repositorio.ufsm.br/handle/1/15099 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Brasil Engenharia Agrícola UFSM Programa de Pós-Graduação em Engenharia Agrícola Centro de Ciências Rurais |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Brasil Engenharia Agrícola UFSM Programa de Pós-Graduação em Engenharia Agrícola Centro de Ciências Rurais |
dc.source.none.fl_str_mv |
reponame:Manancial - Repositório Digital da UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Manancial - Repositório Digital da UFSM |
collection |
Manancial - Repositório Digital da UFSM |
repository.name.fl_str_mv |
Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
atendimento.sib@ufsm.br||tedebc@gmail.com |
_version_ |
1805922142303289344 |