期刊文献+

龙滩水力发电厂水情自动测报系统标准性分析

Standard Analysis of Automatic Water Regime Measuring and Reporting System of Longtan Hydropower Plant
下载PDF
导出
摘要 为准确评估龙滩水力发电厂水情自动测报系统雨量站的数据可靠性,充分发挥水情自动测报系统在发电生产的调度指挥作用,以国家基本气象站为标准,运用数理统计方法对比分析红水河流域龙滩水力发电厂水情自动测报系统11个典型雨量站的雨日特征。结果表明,龙滩水力发电厂水情自动测报系统雨量站对日雨量的监测与国家基本气象站点存在相关性和差异性,差异较大的站点则不能参考气象部门雨量预报,应当对该类差异较大的站点进行重新选址或进一步探究二者关联,才能更准确的以气象部门雨量预报为依据进行水库调度。 In order to accurately evaluate the data reliability from the rain station of the automatic water situation measurement and reporting system of Longtan hydropower plant, giving full play- to the dispatching and command function of the automatic water situation measurement and reporting system in the power generation production. This paper is based on the national basic weather stations and compared and analyzed the rain-day characteristics from their 11 typical precipitation station in Longtan hydropower project of the Hongshui river basin. The results show that there are correlation and difference between the rain station of Longtan hydropower plant and the national basic meteorological stations. That means sites with significant difterences could not refer to the meteorological department forecast of rainfall, and these sites shall be to location or to further explore the two associations, which can be more accurate to rainfall forecast meteorological department as the basis for reservoir dispatching.
作者 朱麟 Zhu Lin(Longtan Hydropower Plant,Longtan Hydropower Development Co.,Ltd.,Tian'e 547300,Guangx)
出处 《陕西水利》 2018年第6期13-16,共4页 Shaanxi Water Resources
关键词 龙滩水力发电站 国家气象基本站 雨日特征 相关分析 方差分析 Longtan hydropower plan the national basic weather station rain-day characteristics the correlation analysisand variance analysis
  • 相关文献

参考文献4

二级参考文献13

  • 1薛吉全.玉米高产理论和技术途径之概述与展望[J].作物研究,1993,7(1):46-49. 被引量:17
  • 2刘培利,林琪,隋方功,孙作启.紧凑型玉米根系高产特性的研究[J].玉米科学,1994,2(1):59-63. 被引量:34
  • 3Artzner P, Delbaen F, Eber J M, Heath D. Coherent measures of risk[J]. Mathematical Finance, 1999,9 : 203-228.
  • 4Embrechts P, Lindskog F, McNeil A. Modelling dependence with copulas and appllcationto risk management[A].Handbook of Heavy Tailed Distributions in Finance, ed. S. Rachev, Elsevier,2003,Chapter 8: 329-384.
  • 5Patton A J. On the out-of-sample importance of skewness and asymmetric dependence for asset allocation[J].Journal of Financial Econometrics, 2004, 2(1):130-168.
  • 6Embrechts P, McNeil A, Straumann D. Correlation and dependency in risk management: Properties andpitfalls[J]. In: Risk Management; Value at Risk and Beyond (ed. M. A. H. Dempster), Cambridge University Press, 1999. 176-223.
  • 7Mario F Triola,刘新立译.Elementary Statistics[M].北京:清华大学出版社,2004.
  • 8Nelsen B. An Introduction to Copulas[M]. Springer,1999.
  • 9Embrechts P, Lindskog F, McNeil A. Modeling dependence with copulas and applications to ris kmanagement[M].in Handbook of Heavy Tailed Distributions in Finance, ed. S. Raehev, Elsevier, 2003.
  • 10钟镇权.两随机变量独立性与不相关性间的关系[J].柳州师专学报,1997,12(2):76-78. 被引量:2

共引文献52

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