院报 ›› 2016, Vol. 33 ›› Issue (1): 6-9.DOI: 10.11988/ckyyb.20140799

• 水资源与环境 • 上一篇    下一篇

基于率定量化标准系数的SPA年径流预测

李深奇1a,肖景西2,覃光华1a, 1b,张泽慧1a   

  1. 1.四川大学 a.水利水电学院;
    b.水力学与山区河流开发保护国家重点实验室,成都 610065;
    2.达州市水文水资源勘测局, 四川 达州 635000
  • 收稿日期:2014-09-15 出版日期:2016-01-20 发布日期:2016-01-20
  • 通讯作者: 覃光华(1975-),女,重庆梁平人,副教授,博士,主要从事水文预报、水文计算方面研究,(电话)13668215732 (电子信箱)ghqin2000@163.com。
  • 作者简介:李深奇(1990-),男,山西运城人,硕士研究生,研究方向为水文预报、径流模拟,(电话)13835892668 (电子信箱)l_sq129@163.com。
  • 基金资助:
    国家973项目(2013CB036401);国家自然科学基金青年基金项目(51209152)

Prediction of Annual Runoff Based on SPA withCalibration of Quantitative Standard Coefficient

LI Shen-qi1 ,XIAO Jing-xi3,QIN Guang-hua1,2, ZHANG Ze-hui1   

  1. 1.College of Water Resources and Hydropower ,Sichuan University ,Chengdu 610065,China;
    2. State Key Laboratory of Hydraulics and Mountain River Engineering,Sichuan University,Chengdu 610065,China;
    3.Dazhou Hydrology and Water Resources Survey Bureau,Dazhou 635000,China
  • Received:2014-09-15 Online:2016-01-20 Published:2016-01-20

摘要: 针对集对分析(set pair analysis,SPA)在径流预测中径流集合量化标准仅根据主观经验确定的问题,提出了率定量化标准系数的SPA年径流预测模型,即首先对量化标准系数进行率定,再用SPA模型对径流进行预测。将该模型应用于长江宜昌站,并与经验标准预测结果进行对比。结果表明,率定量化标准后的预测结果能更好、更准确地反映原序列的变化,精度更高。

关键词: 率定量化标准系数, 集对分析, 年径流, 预测模型, 经验标准预测

Abstract: In order to solve the problem that the quantitative standard coefficient is only determined by subjective experience of investigators in annual runoff prediction based on set pair analysis(SPA), we present a prediction model based on SPA in association with calibration of quantitative standard coefficient Firstly, we calibrate quantitative standard coefficient. Then, we predict the runoff by using SPA. Yichang station in Yangtze River is taken as an example, and predicted data by this model are compared with those by empirical quantitative standard model. The results show that predicted data by the model presented is more accurate to reflect original sequence than those by other models.

Key words: variations of water and sediment, calibration of quantitative standard coefficient, set pair analysis(SPA), annual runoff, prediction model, predicted data from empirical standard model

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