水资源与水工程学报Issue(2)：16-21,6.DOI:10.11705/j.issn.1672-643X.2015.02.04
基于 EMD 和 BP 算法的降水数据插补
Interpolation of precipitation data based on empirical mode decomposition and back propagation algorithm
摘要
Abstract
The interpolation of precipitation data can improve the integrity of data series effectively .Tak-ing Xiliugou River basin as reference , the paper interpolated the missing precipitation data in Maobula-kongtuo interpolated with Empirical Mode Decomposition (EMD) and Back Propagation algorithm (BP) methods.The results were compared with that of correlation analysis , frequency analysis and stepwise re-gression analysis .The results show that EDM -BP model takes full advantage of effective information of Xiliugou the interpolation of precipitation data in EDM decomposition series , therefore which can better reflect the trend of precipitation series .Its precise of data fit and forecast is higher and is suit to the inter-polation of precipitation data at Maobulakongtuo .The result has certain application value to the interpola-tion and extrapolation of other hydrological data .关键词
降水资料/插补延长/经验模态分解/BP算法/逐步回归分析/频率分析/相关分析Key words
precipitation data/interpolation and extrapolation/empirical mode decomposition/back propagation algorithm/stepwise regression analysis/frequency analysis/correlation analysis分类
天文与地球科学引用本文复制引用
郭彦,林秀芝,侯素珍,蒋尚明,景林艳..基于 EMD 和 BP 算法的降水数据插补[J].水资源与水工程学报,2015,(2):16-21,6.基金项目
“十二五”国家科技支撑计划项目（2012 BAB02 B03）；中央级公益性科研院所基本科研业务费专项（ HKY－JBYW－2014－05）；国家重点基础研究发展计划（973计划） （）
