Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará
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Publication Date: | 2009 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Revista ciência agronômica (Online) |
Download full: | http://periodicos.ufc.br/revistacienciaagronomica/article/view/83877 |
Summary: | This study was carried out to develop an integrated analysis of sustainability determinant factors in the Perímetro Irrigado Baixo Acaraú (PIBAU), Ceará, Brazil. This study was performed by Factor Analysis/Principal Component Analysis (FA/PCA). The approach was developed at two different times: In September/2006, 22 cross-over forms were applied to small farmers; and in July/2007, when the evaluation of farmers’ irrigation systems were performed. The FA/PCA use allowed the identification of the best fit model to explain the sustainability of DIBAU. Five components were identified as responsible for the data structure, explaining 79.14% of the total variance, dissolved previously in 12 dimensions. The first factor (20.77 of variance) pointed to the acknowledgment and the use of agricultural production techniques. The second and the third factors represented a health and environmental group. The last two factors explained 26, 19% of the total variance assigned as irrigation efficiency and environmental education, respectively. Factor analysis reduced the number of variables, since the model best fitted occurred with 12 of the 27 analyzed variables. |
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Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, CearáIndicadores de sustentabilidade do Perímetro Irrigado Baixo Acaraú, Ceará, empregando a análise multivariada This study was carried out to develop an integrated analysis of sustainability determinant factors in the Perímetro Irrigado Baixo Acaraú (PIBAU), Ceará, Brazil. This study was performed by Factor Analysis/Principal Component Analysis (FA/PCA). The approach was developed at two different times: In September/2006, 22 cross-over forms were applied to small farmers; and in July/2007, when the evaluation of farmers’ irrigation systems were performed. The FA/PCA use allowed the identification of the best fit model to explain the sustainability of DIBAU. Five components were identified as responsible for the data structure, explaining 79.14% of the total variance, dissolved previously in 12 dimensions. The first factor (20.77 of variance) pointed to the acknowledgment and the use of agricultural production techniques. The second and the third factors represented a health and environmental group. The last two factors explained 26, 19% of the total variance assigned as irrigation efficiency and environmental education, respectively. Factor analysis reduced the number of variables, since the model best fitted occurred with 12 of the 27 analyzed variables. O objetivo do estudo foi o desenvolvimento de uma análise integrada dos fatores determinantes da sustentabilidade do Perímetro Irrigado Baixo Acaraú (PIBAU), Ceará, pelo emprego da Análise Fatorial/Análise da Componente Principal (AF/ACP). A análise de campo foi realizada em duas etapas: setembro de 2006, com a aplicação de questionários a 22 irrigantes, e julho de 2007, quando foram efetuadas as avaliações dos sistemas de irrigação dos produtores que haviam participado da pesquisa. Pelo emprego da AF/ACP identificou-se que o modelo de melhor ajuste para expressar a sustentabilidade do PIBAU foi aquele composto por cinco fatores, explicando 79,14% da variância total, antes dissolvida em 12 dimensões. O primeiro fator (20,77% da variância total) é indicador do conhecimento e do uso de técnicas de produção agrícola. O segundo e terceiro fatores compõem um indicador relativo à saúde e conservação do meio ambiente. Os dois fatores restantes explicam 26,19% da variância total e são indicadores da eficiência de irrigação e educação ambiental, respectivamente. Outro ponto observado é que a análise fatorial resultou em grande redução no número de variáveis, uma vez que o melhor ajuste do modelo ocorreu com 12 das 27 variáveis analisadas.Revista Ciência Agronômica2009-03-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://periodicos.ufc.br/revistacienciaagronomica/article/view/83877Revista Ciência Agronômica; v. 40 n. 1 (2009)1806-66900045-6888reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFCenghttp://periodicos.ufc.br/revistacienciaagronomica/article/view/83877/228029Lopes, FernandoAndrade, EuniceAquino, DeodatoLobato, FranciscoMendonça, Marcosinfo:eu-repo/semantics/openAccess2023-02-28T07:08:24Zoai:periodicos.ufc:article/83877Revistahttps://periodicos.ufc.br/revistacienciaagronomicaPUBhttps://periodicos.ufc.br/revistacienciaagronomica/oai||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2023-02-28T07:08:24Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará Indicadores de sustentabilidade do Perímetro Irrigado Baixo Acaraú, Ceará, empregando a análise multivariada |
title |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará |
spellingShingle |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará Lopes, Fernando |
title_short |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará |
title_full |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará |
title_fullStr |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará |
title_full_unstemmed |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará |
title_sort |
Sustainability indicators using multaivariate analysis for irrigation low area of Acaraú Valley, Ceará |
author |
Lopes, Fernando |
author_facet |
Lopes, Fernando Andrade, Eunice Aquino, Deodato Lobato, Francisco Mendonça, Marcos |
author_role |
author |
author2 |
Andrade, Eunice Aquino, Deodato Lobato, Francisco Mendonça, Marcos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Lopes, Fernando Andrade, Eunice Aquino, Deodato Lobato, Francisco Mendonça, Marcos |
description |
This study was carried out to develop an integrated analysis of sustainability determinant factors in the Perímetro Irrigado Baixo Acaraú (PIBAU), Ceará, Brazil. This study was performed by Factor Analysis/Principal Component Analysis (FA/PCA). The approach was developed at two different times: In September/2006, 22 cross-over forms were applied to small farmers; and in July/2007, when the evaluation of farmers’ irrigation systems were performed. The FA/PCA use allowed the identification of the best fit model to explain the sustainability of DIBAU. Five components were identified as responsible for the data structure, explaining 79.14% of the total variance, dissolved previously in 12 dimensions. The first factor (20.77 of variance) pointed to the acknowledgment and the use of agricultural production techniques. The second and the third factors represented a health and environmental group. The last two factors explained 26, 19% of the total variance assigned as irrigation efficiency and environmental education, respectively. Factor analysis reduced the number of variables, since the model best fitted occurred with 12 of the 27 analyzed variables. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-03-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://periodicos.ufc.br/revistacienciaagronomica/article/view/83877 |
url |
http://periodicos.ufc.br/revistacienciaagronomica/article/view/83877 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://periodicos.ufc.br/revistacienciaagronomica/article/view/83877/228029 |
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.publisher.none.fl_str_mv |
Revista Ciência Agronômica |
publisher.none.fl_str_mv |
Revista Ciência Agronômica |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica; v. 40 n. 1 (2009) 1806-6690 0045-6888 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1826232460797542400 |