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| SCE-UA算法在流溪河模型参数优选中的应用 | |
| 引用本文： | 徐会军,陈洋波,曾碧球,何锦翔,廖征红.SCE-UA算法在流溪河模型参数优选中的应用[J].热带地理,2012,32(1):32-37. |
| 作者姓名： | 徐会军 陈洋波 曾碧球 何锦翔 廖征红 |
| 作者单位： | 1. 中山大学水灾害管理与水利信息化实验室,广州,510275 2. 中山大学地理科学与规划学院水资源与环境系,广州,510275 3. 珠江水利科学研究院,广州,510611 4. 广东省北江流域管理局,广州,528100 |
| 基金项目： | 国家自然科学基金项目(50479033);广东省水利科技创新项目(2009-16);广东省科技计划项目(2011A030200013) |
| 摘 要： | 流溪河模型是一个主要用于流域洪水预报的分布式物理水文模型,目前采用手工试错法优选模型参数,虽然该方法在过去的研究中取得了较好的效果,但参数优选过程较为繁琐,需时较长。文中以广州市流溪水库流域为例,采用SCE-UA算法对流溪河模型优选参数,并使用优选结果进行模拟检验,取得了较好的效果。研究表明,SCE-UA算法能够快速、有效地进行流溪河模型参数的优选,相比手工试错法具有简单、方便、高效的特点,可应用于分布式流域水文模型的参数自动化优选工作。 |
| 关 键 词： | 流溪河模型 参数优选 SCE-UA 分布式物理水文模型 |
Application of SCE-UA Algorithm to Parameter Optimization of Liuxihe Model |
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| XU Huijun , CHEN Yangbo , ZENG Biqiu , HE Jinxiang , LIAO Zhenghong.Application of SCE-UA Algorithm to Parameter Optimization of Liuxihe Model[J].Tropical Geography,2012,32(1):32-37. | |
| Authors: | XU Huijun CHEN Yangbo ZENG Biqiu HE Jinxiang LIAO Zhenghong |
| Institution: | 1.a.Lab of Water Disaster Management& Hydroinformatics,b.Department of Water Resources and Environment,Sun Yat-sen University,Guangzhou 510275,China;2.Pearl River Hydraulic Research Institute,Guangzhou 510611,China;3.Guangdong Provincial Bureau of Beijing River Administration,Guangzhou 528100,China) |
| Abstract: | The Liuxihe Model is a physically based distributed hydrological model for catchment flood forecast.The trial-and-error method has been used in parameter optimization of the model,though it can gain a good result,it is complex and lowly efficient.In this paper,a case study of the Liuxihe River Reservoir catchment in Guangzhou is made,in which SCE-UA algorithm is used for parameter optimization.The result shows that the algorithm can process the parameter optimization of the Liuxihe Model rapidly and effectively.As compared with the trial-and-error method,the algorithm is much more simple,convenient and high-effective,and applicable to the distributed hydrological model. |
| Keywords: | Liuxihe Model parameter optimization SCE-UA physically based distributed hydrological model |
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