• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Water Resources Management >Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting
【24h】

Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting

机译：水文时间序列预报的改进小波建模框架

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The combination of wavelet analysis with black-box models presently is a prevalent approach to conduct hydrologic time series forecasting, but the results are impacted by wavelet decomposition of series, and uncertainty cannot be evaluated. In this paper, the method for discrete wavelet decomposition of series was developed, and an improved wavelet modeling framework, WMF for short, was proposed for hydrologic time series forecasting. It is to first separate different deterministic components and remove noise in original series by discrete wavelet decomposition; then, forecast the former and quantitatively describe noise's random characters; at last, add them up and obtain the final forecasting result. Forecasting of deterministic components is to obtain deterministic forecasting results, and noise analysis is to estimate uncertainty. Results of four hydrologic cases indicate the better performance of the proposed WMF compared with those black-box models without series decomposition. Because of having reliable hydrologic basis, showing high effectiveness in accuracy, eligible rate and forecasting period, and being capable of uncertainty evaluation, the proposed WMF can improve the results of hydrologic time series forecasting.
机译：目前，将小波分析与黑匣子模型相结合是进行水文时间序列预测的一种普遍方法，但是其结果受序列的小波分解影响，不确定性无法评估。本文研究了序列的离散小波分解方法，提出了一种改进的小波建模框架，简称WMF，用于水文时间序列预测。它是首先分离不同的确定性分量，并通过离散小波分解去除原始序列中的噪声；然后，对前者进行预测并定量描述噪声的随机特征；最后将它们加起来，得到最终的预测结果。确定性分量的预测是获得确定性的预测结果，而噪声分析则是估计不确定性。四个水文案例的结果表明，与没有序列分解的黑盒模型相比，拟议的WMF的性能更好。由于具有可靠的水文基础，在准确性，合格率和预报周期方面显示出很高的有效性，并且能够进行不确定性评估，因此，WMF可以改善水文时间序列的预报结果。

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