scholarly journals Genetic algorithm applied to the calibration of a rainfall-infiltration-runoff model

2007 ◽  
Author(s):  
R. Chérif ◽  
J. L. Robert ◽  
R. Lagacé
Keyword(s):  
Genetic Algorithm ◽  
Rainfall Infiltration ◽  
Runoff Model

Multicore Parallel Genetic Algorithm with Tabu Strategy for Rainfall-Runoff Model Calibration

2017 ◽  
Vol 22 (8) ◽  
pp. 04017024 ◽  
Author(s):  
Shengli Liao ◽  
Qianying Sun ◽  
Chuntian Cheng ◽  
Ruhong Zhong ◽  
Huaying Su
Keyword(s):  
Genetic Algorithm ◽  
Model Calibration ◽  
Rainfall Runoff ◽  
Parallel Genetic Algorithm ◽  
Rainfall Runoff Model ◽  
Runoff Model

scholarly journals Development of Combination Runoff Model Applied by Genetic Algorithm

2009 ◽  
Vol 42 (3) ◽  
pp. 201-212 ◽  
Author(s):  
Seok-Ku Shim ◽  
Bo-Young Koo ◽  
Tae-Jin Ahn
Keyword(s):  
Genetic Algorithm ◽  
Runoff Model

Development of an Automatic Calibration Tool Using Genetic Algorithm for the ARNO Conceptual Rainfall-Runoff Model

2013 ◽  
Vol 39 (4) ◽  
pp. 2535-2549 ◽  
Author(s):  
Mohammad Reza Khazaei ◽  
Bagher Zahabiyoun ◽  
Bahram Saghafian ◽  
Shahin Ahmadi
Keyword(s):  
Genetic Algorithm ◽  
Automatic Calibration ◽  
Rainfall Runoff ◽  
Rainfall Runoff Model ◽  
Calibration Tool ◽  
Runoff Model

scholarly journals Multi-criteria calibration of a conceptual runoff model using a genetic algorithm

2000 ◽  
Vol 4 (2) ◽  
pp. 215-224 ◽  
Author(s):  
J. Seibert
Keyword(s):  
Genetic Algorithm ◽  
Synthetic Data ◽  
Test Case ◽  
True Parameter ◽  
Groundwater Levels ◽  
Optimisation Algorithm ◽  
Level Data ◽  
Parameter Values ◽  
Hbv Model ◽  
Runoff Model

Abstract. Abstract: Calibration of a model against more than one output variable is important for reliable simulations of internal processes. In this study, a genetic algorithm combined with local optimisation was proposed for automatic single- and multi-criteria calibration of the HBV model, a conceptual runoff model. The model and the optimisation algorithm were applied in two catchments with different geology where, in addition to observed runoff, time series of groundwater level data were available. For a theoretical, error-free test case with synthetic data, the optimisation algorithm was usually able to find the true parameter values. For the real-world case, parameter values varied considerably when calibrating against runoff only. However, parameter values were constrained significantly when calibrating against both runoff and groundwater levels. Furthermore, for one of the catchments, the results of the multi-criteria calibration motivated a modification of the model structure. Keywords: Multi-criteria calibration; genetic algorithm; parameter uncertainty; conceptual runoff models; HBV model; groundwater levels

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