首页> 外文会议>International conference of GIS and Remote Sensing in hydrology, water resources and environment;ICGRHWE >Chaotic Analysis on Precipitation Time Serial of Si Chuan Middle Part in Upper Region of Yangtze
【24h】

Chaotic Analysis on Precipitation Time Serial of Si Chuan Middle Part in Upper Region of Yangtze

机译:长江上游四川中部降水时间序列的混沌分析。

获取原文
获取原文并翻译 | 示例

摘要

Based on the introduction of main quantitative indexes (correlation dimension D_2 and Kolmogorov entropy) in reconstruction phase-space technique, according to precipitation time series of Si Chuan middle part in upper regions of Yangtze, relationship between embedding dimension m and correlation dimension D_2 is discussed and saturation correlation dimension, minimum embedding dimension and Kolmogorov entropy are calculated, that is, D_2 =5.11,m = 10 and k = 0.338. Meanwhile, primary component analytic method (PCA) is applied to validate its chaotic character and result shows forecasting length for this precipitation time series should be less than 2.96 years. Thus, chaotic analysis on precipitation time series provides a scientific gist for precipitation forecasting
机译:在重构相空间技术引入主要定量指标(相关维数D_2和Kolmogorov熵)的基础上,根据长江上游地区四川中部地区降水时间序列,探讨了埋藏维数m与相关维数D_2之间的关系。计算饱和度相关维数,最小嵌入维数和Kolmogorov熵,即D_2 = 5.11,m = 10,k = 0.338。同时,应用主成分分析法(PCA)验证了其混沌特性,结果表明该降水时间序列的预测长度应小于2。96年。因此,对降水时间序列的混沌分析为降水预报提供了科学依据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号