Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1002165
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dc.contributor.authorTORRES, M. de O.pt_BR
dc.contributor.authorRODRIGUES, L. N.pt_BR
dc.contributor.authorMOREIRA, J. M. M. A. P.pt_BR
dc.date.accessioned2014-12-10T11:11:11Zpt_BR
dc.date.available2014-12-10T11:11:11Zpt_BR
dc.date.created2014-12-10pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationIn: INOVAGRI INTERNATIONAL MEETING, 2.; SIMPÓSIO BRASILEIRO DE SALINIDADE, 2.; REUNIÃO BRASILEIRA SOBRE ENGENHARIA DA IRRIGAÇÃO, 2., Fortaleza, 2014. Anais... Piracicaba: INOVAGRI: INCT-EI: INCTSA, 2014. p. 299-308.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1002165pt_BR
dc.descriptionABSTRACT: The Buriti Vermelho experimental Basin (BHBV) is characterized by agricultural activities, seasonal water flow uncertainty and heterogeneous water allocation among rural farmers. In this context, this paper follows an interdisciplinary modeling approach that involves economics, hydrology and agronomy. The model developed is then used to evaluate the short-run impacts on agricultural income from changes on precipitation and irrigation water supply. The economic regional model follows a Positive Mathematical Programming approach which allows for the calibration of crop and farmer specific production functions. The hydrological model follows a water balance approach and yields water availability estimates on a proper time and spatial resolution. The two models are coupled together and calibrated with primary data collected in situ. Alternative temperature and precipitation regimes are simulated. Considering that the hydrologic characteristics of the region which, in normal years, guarantees a much higher supply of water for irrigation in the reservoirs relatively to demand and the fact that irrigated crops have a much heavier weight on the net revenue of the region than rainfed crops, a 5% decrease in water availability would be accompanied by a decrease of only 1.2% in the regional net revenue. This percentage, however, would increase to 11% and 32% when water availability reduces to 50 and 90% respectively.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectBuriti Vermelhopt_BR
dc.titleHydro-economic model for the assessment of water resources allocation and availability impacts on agricultural income.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2017-05-26T11:11:11Zpt_BR
dc.subject.thesagroRecurso hidricopt_BR
dc.subject.thesagroIrrigaçãopt_BR
dc.subject.thesagroDesenvolvimento socio-econômicopt_BR
dc.subject.thesagroBacia Hidrográficapt_BR
dc.subject.nalthesaurusWater resourcespt_BR
dc.subject.nalthesaurusIrrigationpt_BR
dc.subject.nalthesaurusSocioeconomic developmentpt_BR
riaa.ainfo.id1002165pt_BR
riaa.ainfo.lastupdate2017-05-26pt_BR
dc.contributor.institutionMARCELO DE OLIVEIRA TORRES, UNIVERSIDADE DE BRASÍLIApt_BR
dc.contributor.institutionLINEU NEIVA RODRIGUES, CPACeng
dc.contributor.institutionJOSE MAURO MAGALHAES AVILA PAZ MOREIRA, CNPF.eng
Appears in Collections:Artigo em anais de congresso (CPAC)

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