| CPSO算法在TOPMODEL参数优化中的应用 |
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| 引用本文： | 胡友兵,冯杰,邵伟. CPSO算法在TOPMODEL参数优化中的应用[J]. 水电能源科学, 2011, 29(7) |
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| 作者姓名： | 胡友兵 冯杰 邵伟 |
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| 作者单位： | 1. 河海大学水文水资源学院,江苏南京,210098
2. 中国水利水电科学研究院水资源所,北京,100044 |
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| 基金项目： | 水利部社会公益性基金资助项目(200801033); 中国水利水电科学研究院科研专项基金资助项目(资集1017); 国家自然科学基金资助项目(50609005) |
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| 摘 要： | 以江西省抚河娄家村流域为例,采用混沌粒子群优化算法(CPSO)优化半分布式水文模型(TOPMODEL)参数,并对优化结果进行了检验。结果表明,该法有效改善了PSO的全局寻优能力,粒子群体进化速度加快,收敛速度和精度提高。
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| 关 键 词： | 水文模型 CPSO算法 TOPMODEL 参数率定 |
Application of CPSO to Parameter Calibration of TOPMODEL Model |
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| HU Youbing,FENG Jie,SHAO Wei. Application of CPSO to Parameter Calibration of TOPMODEL Model[J]. International Journal Hydroelectric Energy, 2011, 29(7) |
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| Authors: | HU Youbing FENG Jie SHAO Wei |
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| Affiliation: | HU Youbing1,FENG Jie2,SHAO Wei1(1.College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China,2.Department of Water Resources,China Institute of Water Resources and Hydropower Research,Beijing 100044,China) |
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| Abstract: | Taking the Loujia Village Watershed in Fuhe River in Jiangxi Province for an example,chaotic particle swarm optimization is used to optimize the semi-distributed hydrologic model TOPMODEL parameters and the results are verified.The results show that the proposed method improves the ability of global optimization in PSO;the particle swarm has fast convergence and the results has higher precision. |
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| Keywords: | hydrologic model CPSO TOPMODEL parameter calibration |
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