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dc.contributor.authorPARAIBA, L. C.pt_BR
dc.contributor.authorPAZIANOTTO, R. A. A.pt_BR
dc.contributor.authorLUIZ, A. J. B.pt_BR
dc.contributor.authorMAIA, A. de H. N.pt_BR
dc.contributor.authorJONSSON, C. M.pt_BR
dc.date.accessioned2014-11-14T11:11:11Zpt_BR
dc.date.available2014-11-14T11:11:11Zpt_BR
dc.date.created2014-11-14pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationSpanish Journal of Agricultural Research, Madrid, v. 12, n. 2, p. 509-518, 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1000149pt_BR
dc.descriptionThe usual method to calculate grey water footprint does not take into account the volume of water required to dilute concentrations of pesticide mixtures in freshwater and it also depends on maximum concentration limit acceptable in water. We propose a model to estimate the grey water footprint of crops by calculating the volume of water necessary to dilute pesticide mixtures reaching freshwaters. The model requires short-term toxicity data from aquatic organisms based on EC50 values, soil pesticide half-life and soil sorption coefficient values, and does not require maximum concentration limit acceptable in water. The lixiviation rate and runoff rate of each pesticide was estimated by attenuation factor and by Soilfug model, respectively. The usefulness of the proposed model was illustrated by estimating the volume of grey water required to dilute the 17 most widely used herbicides in sugarcane crops of Brazil. The grey water footprint corresponding to the recommended agronomic dose for each herbicide varied between 4.20×106 m3 yr-1 and 1.20×1012 m3 yr-1 and the grey water footprint of the mixture of herbicides was 2.36×1012 m3 yr-1 in a cultivated area of 8.4×106 ha. These results establish the ranking position of each herbicide in the composition of the grey water footprint of mixture of herbicides. The rank of each herbicide could be used to create a label to be placed on the package of the pesticide, thus informing farmers about the volume of grey water per hectare due to the use of this herbicide.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectPesticide managementpt_BR
dc.subjectWater quality objectivept_BR
dc.subjectCana-de-açúcarpt_BR
dc.titleA mathematical model to estimate the volume of grey water of pesticide mixtures.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-12-24T11:11:11Zpt_BR
dc.subject.thesagroAgrotóxicopt_BR
dc.subject.thesagroHerbicidapt_BR
dc.subject.thesagroQualidade da águapt_BR
dc.subject.thesagroModelo matemáticopt_BR
dc.subject.nalthesaurusHerbicidespt_BR
dc.subject.nalthesaurusEnvironmental impactpt_BR
dc.subject.nalthesaurusWater qualitypt_BR
dc.subject.nalthesaurusWater footprintpt_BR
dc.subject.nalthesaurusSugarcanept_BR
dc.subject.nalthesaurusMathematical modelspt_BR
riaa.ainfo.id1000149pt_BR
riaa.ainfo.lastupdate2014-12-24pt_BR
dc.contributor.institutionLOURIVAL COSTA PARAIBA, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; ALFREDO JOSE BARRETO LUIZ, CNPMA; ALINE DE HOLANDA NUNES MAIA, CNPMA; CLAUDIO MARTIN JONSSON, CNPMA.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPMA)

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