2013
DOI: 10.1016/j.wasman.2012.10.015
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Monte-Carlo human health risk assessment of mercury emissions from a MSW gasification plant

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Cited by 19 publications
(12 citation statements)
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References 49 publications
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“…El uso de funciones de probabilidad permite que la incertidumbre de los datos de entrada y los parámetros del modelo se contabilicen (13).…”
Section: Discussionunclassified
See 1 more Smart Citation
“…El uso de funciones de probabilidad permite que la incertidumbre de los datos de entrada y los parámetros del modelo se contabilicen (13).…”
Section: Discussionunclassified
“…Según los protocolos de la EPA (12), el cálculo probabilístico del riesgo implica un muestreo aleatorio a partir del cual se genera cada una de las distribuciones de las variables incluidas en la exposición, siendo el método de Montecarlo uno de los métodos probabilísticos más ampliamente utilizados (13). La aplicación del análisis probabilístico en las evaluaciones de riesgos para la salud humana, es un desarrollo relativamente nuevo facilitado por el avance en las técnicas de muestreo estadístico y el aumento en la velocidad y la capacidad de los equipos capaces de responder a las necesidades computacionales intensivas propias de una simulación de Montecarlo.…”
Section: Caracterización Del Riesgounclassified
“…To provide information on the probability of these events, the results are best expressed as a probability distribution simulated by randomizing the emission rate, O&G-activity duration, and meteorological conditions through application of the Monte Carlo method. The Monte Carlo approach is widely used in addressing problems associated with emissions from irregularly emitting sources, as it provides more realistic estimates of health risk (Li, Huang, and Zou 2008;Lonati and Zanoni 2013). Monte Carlo has been used to determine protective zones for intermittent irregular sources (Balter and Faminskaya 2016).…”
Section: Receptorsmentioning
confidence: 99%
“…Levels of pollutants were determined not only by chemical or biological analysis (e.g. : gas chromatography or bioluminescence), but also by using probabilistic models that defined the degree of presence of contaminants around the facility (Lonati and Zanoni, 2013).…”
Section: Environmental Impact Of Gasification Processesmentioning
confidence: 99%