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Calibration of Conceptual Rainfall-Runoff Models Using Global Optimization
Joint Authors
Meng, Qing Xiang
Zhang, Chao
Wang, Ru-bin
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Parameter optimization for the conceptual rainfall-runoff (CRR) model has always been the difficult problem in hydrology since watershed hydrological model is high-dimensional and nonlinear with multimodal and nonconvex response surface and its parameters are obviously related and complementary.
In the research presented here, the shuffled complex evolution (SCE-UA) global optimization method was used to calibrate the Xinanjiang (XAJ) model.
We defined the ideal data and applied the method to observed data.
Our results show that, in the case of ideal data, the data length did not affect the parameter optimization for the hydrological model.
If the objective function was selected appropriately, the proposed method found the true parameter values.
In the case of observed data, we applied the technique to different lengths of data (1, 2, and 3 years) and compared the results with ideal data.
We found that errors in the data and model structure lead to significant uncertainties in the parameter optimization.
American Psychological Association (APA)
Zhang, Chao& Wang, Ru-bin& Meng, Qing Xiang. 2015. Calibration of Conceptual Rainfall-Runoff Models Using Global Optimization. Advances in Meteorology،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052768
Modern Language Association (MLA)
Zhang, Chao…[et al.]. Calibration of Conceptual Rainfall-Runoff Models Using Global Optimization. Advances in Meteorology No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1052768
American Medical Association (AMA)
Zhang, Chao& Wang, Ru-bin& Meng, Qing Xiang. Calibration of Conceptual Rainfall-Runoff Models Using Global Optimization. Advances in Meteorology. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1052768
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052768