TY - JOUR
T1 - Uncertainty and sensitivity analysis in code environmental model for risk assessments from industrial source complex
AU - García-Díaz, J. Carlos
AU - Gozalvez-Zafrilla, J. M.
N1 - Funding Information:
aCentro de Gestión de la Calidad y del Cambio, Universidad Politécnica de Valencia, Valencia (Spain) bInstitute for Industrial, Radiophysical and Environmental Safety (ISIRYM), Universidad Politécnica de Valencia, Valencia (Spain)
PY - 2010
Y1 - 2010
N2 - The objectives of paper are the application of uncertainty and sensitivity analysis methods in atmospheric dispersion modeling to case study for predicting the dispersion of pollutants in the atmospheric environment. Gaussian Plume Model is used to study the impact of meteorology on the dispersion of emissions from industrial source complex. Quantitative uncertainty analysis has become a common component of risk assessments. Uncertainties were defined a priori in each of the following variables: wind speed, wind direction and pollutant emission rate. In order to get information about the uncertainty of computer code results, a number of code runs have to be performed using tolerance limits method. Monte Carlo method is used for propagating uncertainty across of code. Spearman rank correlation coefficient is used as sensitivity measure.
AB - The objectives of paper are the application of uncertainty and sensitivity analysis methods in atmospheric dispersion modeling to case study for predicting the dispersion of pollutants in the atmospheric environment. Gaussian Plume Model is used to study the impact of meteorology on the dispersion of emissions from industrial source complex. Quantitative uncertainty analysis has become a common component of risk assessments. Uncertainties were defined a priori in each of the following variables: wind speed, wind direction and pollutant emission rate. In order to get information about the uncertainty of computer code results, a number of code runs have to be performed using tolerance limits method. Monte Carlo method is used for propagating uncertainty across of code. Spearman rank correlation coefficient is used as sensitivity measure.
KW - Gaussian Plume Model
KW - Monte Carlo method
KW - Pollutant
KW - Sensitivity analysis
KW - Uncertainty analysis
UR - http://www.scopus.com/inward/record.url?scp=77954964136&partnerID=8YFLogxK
U2 - 10.1016/j.sbspro.2010.05.164
DO - 10.1016/j.sbspro.2010.05.164
M3 - Conference article
AN - SCOPUS:77954964136
SN - 1877-0428
VL - 2
SP - 7656
EP - 7657
JO - Procedia - Social and Behavioral Sciences
JF - Procedia - Social and Behavioral Sciences
IS - 6
T2 - 6th International Conference on Sensitivity Analysis of Model Output, SAMO 2010
Y2 - 19 July 2010 through 22 July 2010
ER -