The streamflow estimation using the Xinanjiang rainfall runoff model and dual state-parameter estimation method

Journal of Hydrology

Volumn 480, Issue , 2013, Pages 102-114

  Lü, Haishen ^a,b   Hou, Ting ^a   Horton, Robert ^c   Zhu, Yonghua ^a   Chen, Xi ^a   Jia, Yangwen ^d   Wang, Wen ^a   Fu, Xiaolei ^a  

^a HOHAI UNIVERSITY   (China)

^b UNIVERSITY OF WATERLOO   (Canada)

^c IOWA STATE UNIVERSITY   (United States)

^d Institute of Water Resources and Hydropower Research   (China)

Author keywords

Ensemble Kalman filter; Parameter sensitivity; Particle swarm optimization; Streamflow estimation; Xinanjiang rainfall runoff model

Indexed keywords

ACCURATE ESTIMATION; DATA ASSIMILATION; DATA ASSIMILATION METHODS; DATA ERRORS; ENSEMBLE KALMAN FILTER; ESTIMATION RESULTS; HYDROLOGICAL MODELS; INITIAL STATE VARIABLES; INTELLIGENT OPTIMIZATION ALGORITHM; MEDIAN VALUE; MODEL PARAMETERS; MODEL STRUCTURAL ERROR; OPTIMIZATION ALGORITHMS; PARAMETER CALIBRATION; PARAMETER SENSITIVITIES; PARAMETER UNCERTAINTY; PARAMETER VALUES; PARTICLE SWARM OPTIMIZATION ALGORITHM; RAINFALL RUNOFF; RAINFALL-RUNOFF MODELS; SIMULATED RESULTS; STATE PARAMETER ESTIMATION; STATE VARIABLES; TIME-SCALES; UNGAUGED BASINS;

ALGORITHMS; DATA PROCESSING; ESTIMATION; KALMAN FILTERS; PARTICLE SWARM OPTIMIZATION (PSO); RAIN; RUNOFF; STREAM FLOW; UNCERTAINTY ANALYSIS;

PARAMETER ESTIMATION;

DATA ASSIMILATION; ESTIMATION METHOD; FLOODING; HUMID ENVIRONMENT; KALMAN FILTER; OPTIMIZATION; PARAMETERIZATION; RAINFALL-RUNOFF MODELING; STREAMFLOW; UNCERTAINTY ANALYSIS;

CHINA; LUO RIVER; XINANJIANG RESERVOIR; ZHEJIANG;

EID: 84872663103     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2012.12.011     Document Type: Article

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