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| 人工神经网络评价城市化对径流生成的影响 | |
| 引用本文： | 王玲,朱传宝,吴道喜.人工神经网络评价城市化对径流生成的影响[J].人民长江,2002,33(3):21-22,38. |
| 作者姓名： | 王玲 朱传宝 吴道喜 |
| 作者单位： | 1. 河海大学,水文水资源及环境学院,江苏,南京,210098 2. 水利部,信息中心,北京,100761 3. 长江水利委员会,江务局,湖北,武汉,430010 |
| 摘 要： | 探讨使用人工神经网络（ANN）模型模拟城市化地区的降雨径流关系。建立城市化地区的降雨径流关系模型，并把反映城市化进程的不透水面积比（PIA）这一重要参数加入输入模式中，用人工智能手段研究城市化对降雨径流关系的影响。大量的数值实验证明，当神经网络被适当地配置以后，可以再现潜在的降雨径流关系，可以用来生成精确且符合实际的预测结果。而当城市化参数作为输入模式的一部分时，可以较准确模拟涨洪段，而退水段的性能不佳。 |
| 关 键 词： | 人工神经网络 城市化 降雨径流 不透水面积比 数学模型 |
| 文章编号： | 1001-4179(2002)03-0021-02 |
Evaluation of the influence of urbanization on runoff producing by artificial neural network |
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| WANG Ling\,ZHU Chuan,bao\,WU Dao,xi\.Evaluation of the influence of urbanization on runoff producing by artificial neural network[J].Yangtze River,2002,33(3):21-22,38. | |
| Authors: | WANG Ling\ ZHU Chuan bao\ WU Dao xi\ |
| Affiliation: | WANG Ling\+1 ZHU Chuan bao\+2 WU Dao xi\+3 |
| Abstract: | The rainfall-runoff in urbanization area is simulated by artificial neural networks(ANN),firstly setting up the ANN model of rainfall-runoff and introducing the important parameter of PIA (percentage of impervious area) as input factor to reflect the urbanization process and analyse the influence of urbanization on the rainfall-runoff relation by artificial intelligence means.A great deal of numerical experiments demonstrate that properly arranging neural network can reveal the potential rainfall-runoff relation and obtain precise forecast result.Introducing urbanization parameter can simulate accurately the flood in rising stage but not very satisfactory for falling stage.Fast and accurate flood forecast will provide support for controlling urban flood in real time effectively. |
| Keywords: | artificial neural network urbanization rainfall-runoff percentage of impervious area mathematical model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |