Parameter Calibration of Xin'anjiang Model Based on Complex Genetic Algorithm
Authors
Yujia Zhou, Yifan Chen, Jiaojiao Dan, Lijun Liu
Corresponding Author
Yujia Zhou
Available Online June 2017.
- DOI
- 10.2991/iceep-17.2017.218How to use a DOI?
- Keywords
- complex genetic algorithm; Xin'anjiang model; parameter calibration
- Abstract
Traditional manual parameter debugging is subjective and requires professional experience. To make up for the deficiencies, a new kind of parameter debugging approach based on complex genetic algorithm is proposed to calibrate the parameters of Xin'anjiang model. The proposed approach combines genetic algorithm of global optimization with complex method of local optimization. This paper verify the performance of the complex genetic algorithm by using the stratification calibration method with an example of watershed of Xiahuitou hydrometric station in Zhejiang Province. The results show that the difference between the multi-year average runoff and simulated runoff is 1%, and the annual runoff process reaches grade B standard or above.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yujia Zhou AU - Yifan Chen AU - Jiaojiao Dan AU - Lijun Liu PY - 2017/06 DA - 2017/06 TI - Parameter Calibration of Xin'anjiang Model Based on Complex Genetic Algorithm BT - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017) PB - Atlantis Press SP - 1243 EP - 1250 SN - 2352-5401 UR - https://doi.org/10.2991/iceep-17.2017.218 DO - 10.2991/iceep-17.2017.218 ID - Zhou2017/06 ER -