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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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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. doi:10.1016/j.ress.2011.04.004

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/79791

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Title: Uncertainty and Sensitive Analysis of Environmental Model for Risk Assessments: An Industrial Case Study
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
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 ...[+]
Subjects: Uncertainty analysis , Sensitivity analysis , Monte Carlo method , Pollutant , Gaussian Plume Model , Nonparametric tolerance limits
Copyrigths: Cerrado
Source:
Reliability Engineering and System Safety. (issn: 0951-8320 )
DOI: 10.1016/j.ress.2011.04.004
Publisher:
Elsevier
Publisher version: http://dx.doi. org/10.1016/j.ress.2011.04.004
Thanks:
The authors gratefully acknowledge the financial support of Universidad Politecnica de Valencia (PAID-05-09-4275).
Type: Artículo

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