首页    期刊浏览 2025年06月28日 星期六
登录注册

文章基本信息

  • 标题:Long-term runoff prediction for reservoir based on Mahalanobis distance discrimination
  • 本地全文:下载
  • 作者:Cheng Zhongliang ; Liu Yong ; Gao Cheng
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:246
  • DOI:10.1051/matecconf/201824602028
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:An accurate and timely forecast of medium and long-term runoff forecast is of great significance to reservoir safety and water resources scheduling. In order to improve the long-term runoff forecast accuracy of the reservoir, a long-term runoff forecasting model was constructed based on the principle of Mahalanobis distance discrimination analysis. The data sequence from 1952 to 2008 of Danjiangkou reservoir was selected, the correlation coefficient method and AIC criterion were used to sift out the highly correlated and independent factors, a long-term runoff forecasting model was constructed based on the principle of Mahalanobis distance discrimination analysis. The result showed that under the permutation error of 10%,the pass rate during the simulation period was 93.9%, and the pass rate during the inspection period was 87.5%. The research results serve as a reference for the operation of Danjiangkou reservoir.
国家哲学社会科学文献中心版权所有