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北江流域历年洪水强度大小的比较研究
引用本文:汪丽娜,陈晓宏.北江流域历年洪水强度大小的比较研究[J].中山大学学报(自然科学版),2010,49(6).
作者姓名:汪丽娜  陈晓宏
作者单位:(1.华南师范大学 地理科学学院,广东 广州 510631;2.中山大学 水资源与环境研究中心,广东 广州 510275;3.华南地区水循环与水安全广东省教育厅重点实验室,广东 广州 510275)
基金项目:国家重点基础研究发展计划(973)资助项目,国家自然科学基金重点资助项目
摘    要:以北江流域石角站为研究对象,利用目标转换式将投影寻踪模型的约束去除,并通过人工鱼群优化算法的自适应搜索,寻找到最优投影向量。结果表明:人工鱼群优化的无约束投影寻踪模型进行洪水强度大小比较时,有利于人工鱼群算法优化性能的发挥,并且所得的结果与实际情况相符。其中,北江流域石角站2006年的洪水是1954-2006年53 a强度最大的洪水,此外1964、1966、1968、1982、1994和1997年的洪水强度也较大,仅次于2006年。这说明北江流域的洪水情势不容轻视,要加强北江流域的防洪工作,确保北江大堤的防洪能力。

关 键 词:无约束投影寻踪模型  人工鱼群算法  洪水强度
收稿时间:2009-11-01;

Comparative Research on the Magnitude of Flood Intensity during Previous Years of the Beijiang River Basin
WANG Lina,CHEN Xiaohong.Comparative Research on the Magnitude of Flood Intensity during Previous Years of the Beijiang River Basin[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2010,49(6).
Authors:WANG Lina  CHEN Xiaohong
Institution:(1.School of Geography, South China Normal University, Guangzhou 510631,China;2.Center for Water Resources and Environment, Sun Yat sen University, Guangzhou 510275,China;3. Key Laboratory of Water cycle and water security in Southern China of Guangdong Higher Education Institutes,SunYat sen University, Guangzhou 510275,China)
Abstract:Using the transformation method, the restraint of traditional projection model can be removed. The unconstrained projection model is optimized by artificial fish swarm algorithm and used to calculate the projection vector values of flood. The obtained results are comparable with the actual case. The Shijiao Station of the Beijiang River is taken as an example in this paper. The results indicate that this new model is more effective and reasonable than the traditional method for flood classification. During the period from 1954 to 2006, the flood in 2006 was the biggest one, the floods in 1964, 1966, 1968, 1982, 1994 and 1997 also showed higher intensity. This suggests that the flood situation should not be despised in the Biejiang River. The flood control work should be strengthened in order to ensure the flood control ability of the dike in the Beijiang River.
Keywords:a non-binding projection pursuit model  artificial fish swarm algorithm  flood intensity
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