Economic viability and selection of irrigation systems using simulation and stochastic dominance
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/66395 |
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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Economic viability and selection of irrigation systems using simulation and stochastic dominanceCitrusEconomic viabilityIrrigation systemsSimulationStochastic dominanceComputer simulationDecision makingEconomic and social effectsFunctionsMonte Carlo methodsProbabilityRandom processesRisk assessmentSprinkler systems (irrigation)Uncertain systemsIrrigationIn 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)FCA - Botucatu UNESP FAPESP, Botucatu, SPFCA - Botucatu UNESP, Botucatu, SPDepartment of Land Resources University of California, Davis, CA 95616FCA - Botucatu UNESP FAPESP, Botucatu, SPFCA - Botucatu UNESP, Botucatu, SPUniversidade Estadual Paulista (Unesp)University of CaliforniaSaad, João Carlos Cury [UNESP]Duenhas, Luiza Helena [UNESP]Mariño, Miguel A.2014-05-27T11:20:12Z2014-05-27T11:20:12Z2000-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1865-18732000 ASAE Annual Intenational Meeting, Technical Papers: Engineering Solutions for a New Century, v. 2, p. 1865-1873.http://hdl.handle.net/11449/663952-s2.0-2342599152Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2000 ASAE Annual Intenational Meeting, Technical Papers: Engineering Solutions for a New Centuryinfo:eu-repo/semantics/openAccess2024-04-30T14:02:51Zoai:repositorio.unesp.br:11449/66395Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:24:49.739601Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Economic viability and selection of irrigation systems using simulation and stochastic dominance |
title |
Economic viability and selection of irrigation systems using simulation and stochastic dominance |
spellingShingle |
Economic viability and selection of irrigation systems using simulation and stochastic dominance Saad, João Carlos Cury [UNESP] Citrus Economic viability Irrigation systems Simulation Stochastic dominance Computer simulation Decision making Economic and social effects Functions Monte Carlo methods Probability Random processes Risk assessment Sprinkler systems (irrigation) Uncertain systems Irrigation |
title_short |
Economic viability and selection of irrigation systems using simulation and stochastic dominance |
title_full |
Economic viability and selection of irrigation systems using simulation and stochastic dominance |
title_fullStr |
Economic viability and selection of irrigation systems using simulation and stochastic dominance |
title_full_unstemmed |
Economic viability and selection of irrigation systems using simulation and stochastic dominance |
title_sort |
Economic viability and selection of irrigation systems using simulation and stochastic dominance |
author |
Saad, João Carlos Cury [UNESP] |
author_facet |
Saad, João Carlos Cury [UNESP] Duenhas, Luiza Helena [UNESP] Mariño, Miguel A. |
author_role |
author |
author2 |
Duenhas, Luiza Helena [UNESP] Mariño, Miguel A. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of California |
dc.contributor.author.fl_str_mv |
Saad, João Carlos Cury [UNESP] Duenhas, Luiza Helena [UNESP] Mariño, Miguel A. |
dc.subject.por.fl_str_mv |
Citrus Economic viability Irrigation systems Simulation Stochastic dominance Computer simulation Decision making Economic and social effects Functions Monte Carlo methods Probability Random processes Risk assessment Sprinkler systems (irrigation) Uncertain systems Irrigation |
topic |
Citrus Economic viability Irrigation systems Simulation Stochastic dominance Computer simulation Decision making Economic and social effects Functions Monte Carlo methods Probability Random processes Risk assessment Sprinkler systems (irrigation) Uncertain systems Irrigation |
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 |
2000 |
dc.date.none.fl_str_mv |
2000-12-01 2014-05-27T11:20:12Z 2014-05-27T11:20:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2000 ASAE Annual Intenational Meeting, Technical Papers: Engineering Solutions for a New Century, v. 2, p. 1865-1873. http://hdl.handle.net/11449/66395 2-s2.0-2342599152 |
identifier_str_mv |
2000 ASAE Annual Intenational Meeting, Technical Papers: Engineering Solutions for a New Century, v. 2, p. 1865-1873. 2-s2.0-2342599152 |
url |
http://hdl.handle.net/11449/66395 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2000 ASAE Annual Intenational Meeting, Technical Papers: Engineering Solutions for a New Century |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1865-1873 |
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_ |
1808128807036518400 |