Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-393-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-393-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Improvement of hydrological model calibration by selecting multiple parameter ranges
Qiaofeng Wu
Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China
Shuguang Liu
Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China
Key Laboratory of Yangtze River Water Environment, Ministry of Education, Shanghai, 200092, China
Yi Cai
CORRESPONDING AUTHOR
Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China
Key Laboratory of Yangtze River Water Environment, Ministry of Education, Shanghai, 200092, China
Xinjian Li
Guangxi Zhuang Autonomous Region Center Station of Irrigation Experiment, Guilin, 541105, China
Yangming Jiang
Hydrology & Water Resources Bureau of Guilin, Guangxi Zhuang Autonomous Region, Guilin, 541001, China
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- Assessment of flood susceptibility in coastal peri-urban areas: an alternative MCDA approach for ungauged catchments V. Boulomytis et al. 10.1080/1573062X.2022.2162424
- Evaluation of the extended applicability of a simulated hydrological Tank model at the Ca River Basin sub-catchments H. Phuong & L. Huu 10.2166/wpt.2023.104
- Development of a knowledge-sharing parallel computing approach for calibrating distributed watershed hydrologic models M. Asgari et al. 10.1016/j.envsoft.2023.105708
- Lake Inflow Simulation Using the Coupled Water Balance Method and Xin’anjiang Model in an Ungauged Stream of Chaohu Lake Basin, China Z. Li et al. 10.3389/feart.2021.615692
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- Modeling flow of the major canals of Sylhet city using the EPA SWMM runoff model G. Munna et al. 10.2166/wpt.2024.038
- Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization A. Visser-Quinn et al. 10.5194/hess-23-3279-2019
- An improved calibration and uncertainty analysis approach using a multicriteria sequential algorithm for hydrological modeling H. Wu et al. 10.1038/s41598-021-96250-6
- Calibration of Concentration Parameters Based on Frequency Decomposition of Fourier Series Q. Li et al. 10.1061/(ASCE)HE.1943-5584.0002008
- A Calibration Framework for High‐Resolution Hydrological Models Using a Multiresolution and Heterogeneous Strategy R. Sun et al. 10.1029/2019WR026541
- Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
- Calibration of FEST-EWB hydrological model using remote sensing data in a climate transition region in Brazil D. Araújo et al. 10.1080/02626667.2021.1881100
- A lumped conceptual approach for modeling hydrological processes: the case of Scopia catchment area, Central Greece N. Charizopoulos et al. 10.1007/s12665-017-6967-0
- A back-fitting algorithm to improve real-time flood forecasting X. Zhang et al. 10.1016/j.jhydrol.2018.04.051
- Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models? B. Majone et al. 10.5194/hess-26-3863-2022
- Estimating the Routing Parameter of the Xin’anjiang Hydrological Model Based on Remote Sensing Data and Machine Learning Y. Fang et al. 10.3390/rs14184609
- A Framework for Algorithmic Improvement to Mitigate the Effects of Equifinality in the Calibration of High-dimensional Parameters for Hydrological Models X. Tang et al. 10.1007/s11269-023-03667-x
- A Preliminary Assessment of the “Undercatching” and the Precipitation Pattern in an Alpine Basin P. Jimeno-Sáez et al. 10.3390/w12041061
- Uncertainty Analysis for Hydrological Models With Interdependent Parameters: An Improved Polynomial Chaos Expansion Approach M. Ghaith et al. 10.1029/2020WR029149
- Parameter Sensitivity Analysis of SWAT Modeling in the Upper Heihe River Basin Using Four Typical Approaches X. Xiang et al. 10.3390/app12199862
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- Assessment of the cascade of uncertainty in future snow depth projections across watersheds of mountainous, foothill, and plain areas in northern latitudes M. Zaremehrjardy et al. 10.1016/j.jhydrol.2020.125735
- Improvement of model evaluation by incorporating prediction and measurement uncertainty L. Chen et al. 10.5194/hess-22-4145-2018
- Calibrating a Hydrological Model by Stratifying Frozen Ground Types and Seasons in a Cold Alpine Basin Y. Zhao et al. 10.3390/w11050985
Latest update: 26 Dec 2024
Short summary
We proposed a method to calibrate hydrological models by selecting parameter range. The results show the probability distribution can be used to determine the optimal range of a single parameter. Analysis of parameter sensitivity and correlation is helpful to obtain the optimal combination of multi-parameter ranges which contributes to a higher and more concentrated value of the objective function. The findings can provide references for enhancing the precision of hydrological process modelling.
We proposed a method to calibrate hydrological models by selecting parameter range. The results...
Special issue