长江科学院院报 ›› 2013, Vol. 30 ›› Issue (7): 29-32.DOI: 10.3969/j.issn.1001-5485.2013.07.006

• 防洪减灾 • 上一篇    下一篇

短期降雨预报失误对安康水库防洪预报调度的影响

贾志峰a,付恒阳a,王建莹a,刘招b   

  1. 长安大学 a.环境科学与工程学院;
    b.水与发展研究院,西安 710054
  • 收稿日期:2013-07-03 修回日期:2013-07-03 出版日期:2013-07-05 发布日期:2013-07-03
  • 作者简介:贾志峰(1986-),男,河南三门峡人,博士研究生,主要从事水文学及水资源研究,(电话)15829012186 (电子信箱)jiazhifeng123@163.com。
  • 基金资助:

    国家自然科学基金项目(51009008);高等学校学科创新引智计划项目(B08039);陕西省自然科学基础研究计划项目(2010JM5013);中央高校基本科研业务费专项资金(CHD2011JC119);长安大学基础研究支持计划专项基金;国土资源部干旱、半干旱地区水资源与国土资源环境开放研究实验室开放基金。

Impact of Short-term Rainfall Forecast Error on the Flood Forecast Dispatching for Ankang Reservoir

JIA Zhi-feng1, FU Heng-yang1, WANG Jian-yiing1, LIU Zhao2   

  1. 1.College of Environmental Science and Engineering, Chang’an University, Xi’an 710054, China;
    2. Research Institute of Water and Development, Chang’an University, Xi’an 710054, China
  • Received:2013-07-03 Revised:2013-07-03 Online:2013-07-05 Published:2013-07-03

摘要:

针对应用短期降雨预报信息实施水库防洪调度问题,研究降雨预报失误对水库调度的影响。以安康水库为例,分析了未来24 h短期降雨预报精度及分布规律,利用贝叶斯定理,计算考虑降雨预报信息的防洪调度风险发生事件寄予各个量级降雨预报失误造成的概率。结果显示:在当前的降雨预报水平下,安康水库利用不同量级降雨预报信息实施防洪调度时,Ⅰ量级(预报无雨) 降雨预报失误对水库调度影响不大,可用于指导水库优化调度;Ⅱ量级(“预报小雨”)降雨预报失误对小洪水调度影响较大;Ⅲ量级(预报中雨及以上)降雨预报失误对大洪水调度影响较大,可作为汛期水库优化调度的参考指标。

关键词: 降雨信息, 预报失误, 优化调度, 贝叶斯定理

Abstract:

In order to study the influence of rainfall forecast error on flood control operation, the short-term rainfall forecast accuracy and distribution for the next 24 hours in Ankang reservoir were analyzed. The probability of flood control operation risk event owing to short-term rainfall forecast error was calculated based on Bayes theorem. Results show that, as for flood operation based on rainfall forecast information of different levels under the current rainfall forecast level, the forecast error at level I (forecasting“no rain”) has little effect on flood operation, hence can be used to guide optimal operation for reservioir; the error at level II (forecasting “light rain”) has great impact on small flood operation and the error at level III (forecasting“no less than moderate rain”) has great impact on large flood control operation, thus can be taken as referenceindex in the flood optimal operation.

Key words: rainfall information, forecast error, optimal operation, Bayes theorem

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