| 基于DTW的测站水位影响关系估计 |
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| 引用本文： | 李士进,张晓花,万定生,朱跃龙.基于DTW的测站水位影响关系估计[J].江南大学学报(自然科学版),2007,6(6):678-682. |
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| 作者姓名： | 李士进 张晓花 万定生 朱跃龙 |
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| 作者单位： | 河海大学,计算机及信息工程学院,江苏,南京,210098 |
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| 基金项目： | 水利部948基金项目(200517) |
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| 摘 要： | 通过对长江流域城陵矶和大通两测站的水位过程线分析,采用动态时间弯曲距离的改进算法进行相似性匹配,提取出上下游测站水位的影响关系,从而应用于洪峰传播时间的预报.
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| 关 键 词： | 水文数据挖掘 洪水预报 动态时间弯曲 派生动态时间弯曲 |
| 文章编号： | 1671-7147(2007)06-0678-05 |
| 修稿时间： | 2007年5月8日 |
Estimation of Water Level Propagation Time between Two Measuring Stations Based on DTW |
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| LI Shi-jin,ZHANG Xiao-hua,WAN Ding-sheng,ZHU Yue-long.Estimation of Water Level Propagation Time between Two Measuring Stations Based on DTW[J].Journal of Southern Yangtze University:Natural Science Edition,2007,6(6):678-682. |
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| Authors: | LI Shi-jin ZHANG Xiao-hua WAN Ding-sheng ZHU Yue-long |
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| Abstract: | The hydrology data mining is a process to find useful hydrology information and knowledge from a great deal of hydrology and related data,which is incomplete,noise,blurry and random.Flood forecasting plays an important role in hydrology data mining.In the paper,a novel method is put forward to develop the relationship between two water level lines of upriver and downriver.The method helps forecasting the passing time of flood peaks,which employs similarity matching with the water level lines of two stations as Chenglingji and Datong by using the modification of dynamic time warping named DDTW.The experimental results show that the new method is effective. |
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| Keywords: | hydrology data mining flood forecasting dynamic time warping DDTW |
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