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Uncertainty and Sensitive Analysis of Environmental Model for Risk Assessments: An Industrial Case Study

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Uncertainty and Sensitive Analysis of Environmental Model for Risk Assessments: An Industrial Case Study

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dc.contributor.author García-Díaz, J. Carlos es_ES
dc.contributor.author Gozálvez-Zafrilla, José M. es_ES
dc.date.accessioned 2017-04-19T09:21:27Z
dc.date.available 2017-04-19T09:21:27Z
dc.date.issued 2012-11
dc.identifier.issn 0951-8320
dc.identifier.uri http://hdl.handle.net/10251/79791
dc.description.abstract The objectives of this paper are the application of uncertainty and sensitivity analysis methods in atmospheric dispersion modeling to study the prediction of the dispersion of pollutants in the atmosphere. The Gaussian Plume Model is used to study the impact of meteorology on the dispersion of the emissions from an industrial source complex. The determination of ground-level concentration and maximum ground-level concentration is useful for the prediction of violations of air quality regulations. The Industrial Source Complex Short-Term (ISCST-3) air pollution model was adopted to predict the ground-level concentration of sulfur dioxide (SO2) emitted by a power plant located in an industrial region site in Spain. Quantitative uncertainty analysis has become a common component of risk assessments. Uncertainties were defined a priori for each of the following variables: wind speed, wind direction, and pollutant emission rate. In order to obtain information about the uncertainty of computer code results, a number of code runs was performed using the nonparametric tolerance limits method. The Monte Carlo method was used to propagate uncertainty across codes. The Spearman rank correlation coefficient was used as a sensitivity measure. es_ES
dc.description.sponsorship The authors gratefully acknowledge the financial support of Universidad Politecnica de Valencia (PAID-05-09-4275). en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Reliability Engineering and System Safety es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Uncertainty analysis es_ES
dc.subject Sensitivity analysis es_ES
dc.subject Monte Carlo method es_ES
dc.subject Pollutant es_ES
dc.subject Gaussian Plume Model es_ES
dc.subject Nonparametric tolerance limits es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification INGENIERIA QUIMICA es_ES
dc.title Uncertainty and Sensitive Analysis of Environmental Model for Risk Assessments: An Industrial Case Study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ress.2011.04.004
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-09-4275/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation García-Díaz, JC.; Gozálvez-Zafrilla, JM. (2012). Uncertainty and Sensitive Analysis of Environmental Model for Risk Assessments: An Industrial Case Study. Reliability Engineering and System Safety. 107:16-22. https://doi.org/10.1016/j.ress.2011.04.004 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi. org/10.1016/j.ress.2011.04.004 es_ES
dc.description.upvformatpinicio 16 es_ES
dc.description.upvformatpfin 22 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 107 es_ES
dc.relation.senia 233450 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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