地理科学 ›› 2010, Vol. 30 ›› Issue (6): 916-920.doi: 10.13249/j.cnki.sgs.2010.06.916

• 论文 • 上一篇    下一篇

加速遗传算法在马斯京根洪水演算模型参数估计中的应用

汪哲荪1, 金菊良1, 魏一鸣2, 王宗志3, 周玉良1   

  1. 1. 合肥工业大学土木与水利工程学院, 安徽 合肥 230009;
    2. 北京理工大学管理与经济学院, 北京 100081;
    3. 南京水利科学研究院水文水资源与水利工程科学国家重点实验室, 江苏 南京 210029
  • 收稿日期:2010-03-14 修回日期:2010-11-15 出版日期:2010-11-20 发布日期:2010-11-20
  • 通讯作者: 金菊良(1966- ),男,江苏吴江人,博士,教授,从事水资源系统工程研究。E-mail:JINJL66@126.com E-mail:JINJL66@126.com
  • 基金资助:
    水利部公益性行业科研专项(编号200801044)、国家自然科学基金项目(51079037)资助。

Application of Accelerating Genetic Algorithm to Parameter Estimation of Muskingum Flood Routing Model

WANG Zhe-sun1, JIN Ju-liang1, WEI Yi-ming2, WANG Zong-zhi3, ZHOU Yu-liang1   

  1. 1. School of Civil Engineering, Hefei University of Technology, Hefei, Anhui 230009, China;
    2. School of Management and Economic, Beijing Institute of Technology, China, Beijing 100081, China;
    3. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, Jiangsu 210029, China
  • Received:2010-03-14 Revised:2010-11-15 Online:2010-11-20 Published:2010-11-20

摘要: 为提高马斯京根洪水演算模型参数估计的准确性、稳定性和工作效率,根据马斯京根洪水演算模型的基本假定把模型参数估计问题转换为相应的优化问题,并提出用加速遗传算法(AGA)同时优化模型参数。实例计算的结果说明了用AGA进行参数估计的有效性和较高的演算精度,实现了参数估计的优化和简化,在洪水灾害管理中具有推广应用价值。

Abstract: River flood routing is very important in regional flood disaster management. Now Muskingum flood routing model has widely been applied in river flood routing because of its simple and convenient computation and well applicability. In order to improve accurateness, stability and efficiency of the parameter estimation of Muskingum flood routing model and to facilitate flood forecasting, reservoir flood control operation and flood control planning, the parameter estimation of Muskingum flood routing model was transformed into a nonlinear optimal procession based on the fundamental hypothesis of Muskingum flood routing model in this paper. And an improved genetic algorithm, named accelerating genetic algorithm (AGA) was developed to optimize all of the model parameters of Muskingum flood routing model at the same time. The applied results show that AGA is more effective and high precision for the river flood routing compared with common parameter estimation methods such as try-and-error method, hunting method, and least square method. Due to its capability of realizing the optimization and simplification of the parameter estimation of Muskingum flood routing model, AGA can be widely applied to different complex optimal problems of flood disaster management.

中图分类号: 

  • P333