A benchmark methodology for managing uncertainties in urban runoff quality models

Water Science and Technology

Volumn 51, Issue 2, 2005, Pages 163-170

  Kanso, A ^a   Tassin, B ^a   Chebbo, G ^a,b  

^a Universite Paris Est   (France)

^b LEBANESE UNIVERSITY   (Lebanon)

Author keywords

Bayesian inference; Conceptual model; Parameter uncertainty; Sensitivity analysis; Urban runoff pollution

Indexed keywords

ALGORITHMS; BENCHMARKING; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS;

BAYESIAN THEORY; METROPOLIS ALGORITHMS; PROBABILITY DISTRIBUTION; URBAN RUNOFF QUALITY MODELS;

RUNOFF;

RUNOFF;

RUNOFF; SENSITIVITY ANALYSIS; URBAN DRAINAGE;

ALGORITHM; ARTICLE; BAYES THEOREM; ENVIRONMENTAL EROSION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METHODOLOGY; QUANTITATIVE ANALYSIS; SENSITIVITY ANALYSIS; UNCERTAINTY; URBAN AREA; WATER MANAGEMENT; WATER SAMPLING;

EID: 15544375539     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2005.0044     Document Type: Article

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