A comparative study of numerical approaches to risk assessment of contaminant transport

Stochastic Environmental Research and Risk Assessment

Volumn 24, Issue 7, 2010, Pages 971-984

  Zhang, Dongxiao ^a,b   Shi, Liangsheng ^b,c   Chang, Haibin ^a,b   Yang, Jinzhong ^c  

^a PEKING UNIVERSITY   (China)

^b University of Southern California   (United States)

^c WUHAN UNIVERSITY   (China)

Author keywords

Interpolation; Monte Carlo simulation; Stochastic collocation; Threshold probability

Indexed keywords

CHAOS EXPANSIONS; COLLOCATION METHOD; COMMONLY USED; COMPARATIVE STUDIES; CONCENTRATION DISTRIBUTIONS; CONTAMINANT TRANSPORT; CONVERGENCE PROPERTIES; CUMULATIVE DISTRIBUTION FUNCTION; DECOUPLED EQUATION; EXPANSION COEFFICIENTS; LAGRANGE INTERPOLATIONS; LATIN HYPERCUBE SAMPLING; MC SIMULATION; MONTE CARLO; MONTE CARLO SIMULATION; NUMERICAL APPROACHES; PROBABILISTIC COLLOCATION METHOD; QUASI-MONTE CARLO; SPARSE GRID; STOCHASTIC COLLOCATION; STOCHASTIC COLLOCATION METHOD; STOCHASTIC EQUATIONS; THRESHOLD PROBABILITY; UNKNOWN COEFFICIENTS;

COMPUTER SIMULATION; COSMIC RAY DETECTORS; DISTRIBUTION FUNCTIONS; INTERPOLATION; MICROCHANNELS; POLYNOMIALS; PROBABILITY; RESPIRATORY MECHANICS; RISK ANALYSIS; RISK ASSESSMENT; STOCHASTIC SYSTEMS;

MONTE CARLO METHODS;

COMPUTER SIMULATION; INTERPOLATION; MONTE CARLO ANALYSIS; NUMERICAL METHOD; POLLUTANT TRANSPORT; PROBABILITY; RISK ASSESSMENT; STOCHASTICITY;

EID: 78249269158     PISSN: 14363240     EISSN: 14363259     Source Type: Journal    
DOI: 10.1007/s00477-010-0400-5     Document Type: Article

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