Parameter Calibration of Xin'anjiang Model Based on Complex Genetic Algorithm

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/).

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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  -