title: [Parameters identification and uncertainty analysis for environmental model].
abstract: This paper examined a case study of hydrological model for identifying parameter uncertainty by using three sensitivity analysis methods: HSY algorithm, linear regressional method and coupling analysis method. The results showed that optimal algorithms cannot give a sound explanation for complexity of model structure and identifying model parameters via uncertainty analysis methods presented an effective alternative to understand model system.
authors.affiliation: Environmental Simulation and Pollution Control State Key Joint Laboratory, Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084.
authors.forename: Yi
authors.initials: Y
authors.lastname: Liu
authors.forename: Jining
authors.initials: J
authors.lastname: Chen
authors.forename: Pengfei
authors.initials: P
authors.lastname: Du
mesh_terms: D000465:Algorithms; D004777:Environment; D008962:Models, Theoretical