Uncertainty propagation in puff-based dispersion models using polynomial chaos

Environmental Modelling and Software

Volumn 25, Issue 12, 2010, Pages 1608-1618

  Konda, Umamaheswara ^a   Singh, Tarunraj ^a   Singla, Puneet ^a   Scott, Peter ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

Atmospheric dispersion; Non Gaussian distributions; Polynomial chaos; Sensitivity analysis; Uncertainty propagation

Indexed keywords

ATMOSPHERIC DISPERSION; COMPUTATIONAL APPROACH; DISPERSION MODELS; GAUSSIAN PUFF; GROUND TRUTH; INITIAL CONDITIONS; MODEL OUTPUTS; MODEL PARAMETERS; MONTE CARLO SIMULATION; NON-GAUSSIAN DISTRIBUTION; PARAMETRIC UNCERTAINTIES; PHYSICAL PROCESS; POLYNOMIAL CHAOS; SOURCE PARAMETERS; TEST CASE; UNCERTAINTY PROPAGATION;

ATMOSPHERIC MOVEMENTS; CHAOS THEORY; DISPERSION (WAVES); DISPERSIONS; GAUSSIAN DISTRIBUTION; MONTE CARLO METHODS; POLYNOMIAL APPROXIMATION; RISK ASSESSMENT; SENSITIVITY ANALYSIS; THREE DIMENSIONAL;

UNCERTAINTY ANALYSIS;

ATMOSPHERIC MODELING; DISPERSION; MODEL TEST; MONTE CARLO ANALYSIS; NUMERICAL MODEL; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS;

NEPTUNIA;

EID: 84755161782     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2010.04.005     Document Type: Article

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