期刊文献+

黄河上游径流动态变化趋势预测 被引量:14

Dynamic change trend forecast of runoff in the upper reaches of the Yellow river
在线阅读 下载PDF
导出
摘要 本文在综合各种信息后 ,认为应当把水资源的有限性和径流过程的非线性作为径流长期预测的重要前提 ,并在此基础上首次建立了对径流进行长期趋势预测的生命旋回模型。通过黄河上游贵德站和兰州站实例验证表明模型预测精度较高 ,符合规范要求。利用该模型定量预测贵德站和兰州站未来 10 0年径流量 ,结果表明黄河上游径流变化有减小趋势 ,这一结论为黄河上游梯级电站的规划。 Based on all kinds of information and the important premise of limited water resource and non linear runoff process, the life cycle model for forecasting long term trend of runoff is presented in this paper. Forecast of runoff by the life cycle model of Guide station and Lanzhou station on the upper reaches of Yellow River is proved that forecast precision is high and meets the requirement of standard. This model may be applied to quantitatively forecast the future secular runoff of Yellow River on Guide station and Lanzhou station respectively. It indicates that runoff of Yellow River will be gradually decreased and the model provides the scientific base for planning, design and operation management of cascade hydropower stations on the upper reaches of Yellow River.
机构地区 西安理工大学
出处 《水力发电学报》 EI CSCD 北大核心 2004年第4期1-4,共4页 Journal of Hydroelectric Engineering
基金 国家自然基金资助项目 (50 0 790 2 1 ) 陕西省重点实验室项目 (0 2JS37)
关键词 径流变化 长期预测 生命旋回 黄河上游 runoff change long term forecasting life cycle the upper reaches of the Yellow river
  • 相关文献

参考文献5

  • 1I. A. Shiklom anov. World water resources and water use:modern assessment and outlook for future [J]. Advances in Water Science,1999,10(3):219-234.
  • 2Haan C T. Statistical Methods in Hydrology [M]. Iowa:The Iowa State University Press,1977.
  • 3Yevjevich V. Stochastic Process in Hydrology [M].Colorado:Water Resources Publication,1972.
  • 4王文楷,刘荷芬,刘爱荣,王超,宋金叶.21世纪黄河水资源可持续利用对策研究[J].地域研究与开发,2001,20(2):62-64. 被引量:12
  • 5SL250-2000.水文情报预报规范[S].[S].北京:水利电力出版社,2000..

二级参考文献4

共引文献33

同被引文献128

引证文献14

二级引证文献111

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部