Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://200.145.140.50/ojs1/viewarticle.php?id=462&layout=abstract http://hdl.handle.net/11449/71167 |
Resumo: | In humid areas, irrigation systems are used to increase the crop yield. The selection of irrigation system to be used is a decision made under uncertainty. This paper shows a procedure that is an association between Monte Carlo simulation method and the criterion of Stochastic Dominance to analyze the viability and identify the best economic option under risk condition. To illustrate the applicability of the procedure, three types of irrigation systems are evaluated to be used in a citrus orchard in Sao Paulo State, Brazil. The irrigation systems evaluated are: drip, microirrigation, and traveling sprinkler. The decision indicator is the present value of net benefit associated with the increase of yield obtained with the irrigation system adopted. The Monte Carlo simulation method is used to generate the cumulative distribution of the present value for each one of the irrigation systems. These curves allow to analyze the economic viability of the three irrigation systems. According to the First Degree Stochastic Dominance, traveling sprinkler system was the best alternative with 95.7% probability of obtaining a positive present value. The second best option was the microirrigation with 82.7% and the worst result (57.3%) was obtained with drip irrigation. |
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Repositório Institucional da UNESP |
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Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocásticaEconomic viability and selection of irrigation systems using simulation and stochastic dominanceCitrusEconomic viabilityIrrigation systemsSimulationStochastic dominancecomputer simulationcrop yielddrip irrigationirrigation systemMonte Carlo analysisorchardstochasticityuncertainty analysisBrazilSao Paulo [Brazil]Sao Paulo [Sao Paulo (STT)]In humid areas, irrigation systems are used to increase the crop yield. The selection of irrigation system to be used is a decision made under uncertainty. This paper shows a procedure that is an association between Monte Carlo simulation method and the criterion of Stochastic Dominance to analyze the viability and identify the best economic option under risk condition. To illustrate the applicability of the procedure, three types of irrigation systems are evaluated to be used in a citrus orchard in Sao Paulo State, Brazil. The irrigation systems evaluated are: drip, microirrigation, and traveling sprinkler. The decision indicator is the present value of net benefit associated with the increase of yield obtained with the irrigation system adopted. The Monte Carlo simulation method is used to generate the cumulative distribution of the present value for each one of the irrigation systems. These curves allow to analyze the economic viability of the three irrigation systems. According to the First Degree Stochastic Dominance, traveling sprinkler system was the best alternative with 95.7% probability of obtaining a positive present value. The second best option was the microirrigation with 82.7% and the worst result (57.3%) was obtained with drip irrigation.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasília, DFDepartamento de Engenharia Rural Faculdade de Ciências Agronômicas Universidade Estadual Paulista, Botucatu, SPDepartamento de Engenharia Rural Faculdade de Ciências Agronômicas Universidade Estadual Paulista, Botucatu, SPUniversidade Estadual Paulista (Unesp)Duenhas, Luiza HelenaSaad, João Carlos Cury [UNESP]2014-05-27T11:23:59Z2014-05-27T11:23:59Z2009-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article422-430application/pdfhttp://200.145.140.50/ojs1/viewarticle.php?id=462&layout=abstractIrriga, v. 14, n. 4, p. 422-430, 2009.1413-78951808-3765http://hdl.handle.net/11449/711672-s2.0-736491375212-s2.0-73649137521.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporIrriga0,283info:eu-repo/semantics/openAccess2024-04-30T14:01:19Zoai:repositorio.unesp.br:11449/71167Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:47:24.889200Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica Economic viability and selection of irrigation systems using simulation and stochastic dominance |
title |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica |
spellingShingle |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica Duenhas, Luiza Helena Citrus Economic viability Irrigation systems Simulation Stochastic dominance computer simulation crop yield drip irrigation irrigation system Monte Carlo analysis orchard stochasticity uncertainty analysis Brazil Sao Paulo [Brazil] Sao Paulo [Sao Paulo (STT)] |
title_short |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica |
title_full |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica |
title_fullStr |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica |
title_full_unstemmed |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica |
title_sort |
Viabilidade econômica e seleção de sistemas de irrigação utilizando simulação e dominância estocástica |
author |
Duenhas, Luiza Helena |
author_facet |
Duenhas, Luiza Helena Saad, João Carlos Cury [UNESP] |
author_role |
author |
author2 |
Saad, João Carlos Cury [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Duenhas, Luiza Helena Saad, João Carlos Cury [UNESP] |
dc.subject.por.fl_str_mv |
Citrus Economic viability Irrigation systems Simulation Stochastic dominance computer simulation crop yield drip irrigation irrigation system Monte Carlo analysis orchard stochasticity uncertainty analysis Brazil Sao Paulo [Brazil] Sao Paulo [Sao Paulo (STT)] |
topic |
Citrus Economic viability Irrigation systems Simulation Stochastic dominance computer simulation crop yield drip irrigation irrigation system Monte Carlo analysis orchard stochasticity uncertainty analysis Brazil Sao Paulo [Brazil] Sao Paulo [Sao Paulo (STT)] |
description |
In humid areas, irrigation systems are used to increase the crop yield. The selection of irrigation system to be used is a decision made under uncertainty. This paper shows a procedure that is an association between Monte Carlo simulation method and the criterion of Stochastic Dominance to analyze the viability and identify the best economic option under risk condition. To illustrate the applicability of the procedure, three types of irrigation systems are evaluated to be used in a citrus orchard in Sao Paulo State, Brazil. The irrigation systems evaluated are: drip, microirrigation, and traveling sprinkler. The decision indicator is the present value of net benefit associated with the increase of yield obtained with the irrigation system adopted. The Monte Carlo simulation method is used to generate the cumulative distribution of the present value for each one of the irrigation systems. These curves allow to analyze the economic viability of the three irrigation systems. According to the First Degree Stochastic Dominance, traveling sprinkler system was the best alternative with 95.7% probability of obtaining a positive present value. The second best option was the microirrigation with 82.7% and the worst result (57.3%) was obtained with drip irrigation. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-10-01 2014-05-27T11:23:59Z 2014-05-27T11:23:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://200.145.140.50/ojs1/viewarticle.php?id=462&layout=abstract Irriga, v. 14, n. 4, p. 422-430, 2009. 1413-7895 1808-3765 http://hdl.handle.net/11449/71167 2-s2.0-73649137521 2-s2.0-73649137521.pdf |
url |
http://200.145.140.50/ojs1/viewarticle.php?id=462&layout=abstract http://hdl.handle.net/11449/71167 |
identifier_str_mv |
Irriga, v. 14, n. 4, p. 422-430, 2009. 1413-7895 1808-3765 2-s2.0-73649137521 2-s2.0-73649137521.pdf |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Irriga 0,283 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
422-430 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128979622690816 |