长江科学院院报 ›› 2013, Vol. 30 ›› Issue (11): 16-19.DOI: 10.3969/j.issn.1001-5485.2013.11.0042013,30(11):16-19

• 水资源与环境 • 上一篇    下一篇

基于信息熵的河南省年降水量时空变化研究

王振亚1,4,吴德波2,朱余生3   

  1. 1.河南省气象台,郑州450003;
    2.黄河水利委员会水文水资源局,郑州450003;
    3.机械工业第六设计研究院有限公司,郑州450003;
    4.中国气象局河南省农业气象保障与应用技术重点实验室,郑州450003
  • 收稿日期:2012-09-18 修回日期:2013-11-07 出版日期:2013-11-30 发布日期:2013-11-07
  • 作者简介:王振亚(1981-),男,河南正阳人,工程师,硕士研究生,主要从事水文气象方面的研究,(电话)18638398338(电子信箱)hhuwzy1981@163.com。

Research on Spatio-Temporal Variation of Annual Precipitation in Henan Province by Information Entropy

WANG Zhen-ya1,4,WU De-bo2,ZHU Yu-sheng3   

  1. 1.Henan Meteorological Observatory, Zhengzhou 450003, China;
    2.Hydrology Bureau of Yellow RiverConservancy Commission, Zhengzhou 450003, China;
    3.SIPPR Engineering Group Co., Ltd.,Zhengzhou450003, China;
    4. Henan Provincial Key Laboratory of Agrometeorological Ensuring and Applied Techniqueunder China Meteorological Administration, Zhengzhou 450003, China
  • Received:2012-09-18 Revised:2013-11-07 Online:2013-11-30 Published:2013-11-07

摘要: 选取河南省1960—2006年共83个站年降水量,将信息熵理论应用在河南省年降水量时空变化研究上,计算每站的年降水量时间序列和年降水量与其极小值的相对量序列的熵估计值、全省各年年降水量分布和年降水量与其多年平均降水量的相对值分布的熵估计值。计算结果表明:河南省年降水量的年际变化自西北东南方向增大,自南向北减小,自西向东增大,在西南东北方向则没有明显的规律;河南省年降水量相对值的年际变化自西南东北方向增大,在其他方向上则没有明显的规律;1966,1976,1999和2001年的河南省年降水量的空间分布较均匀,2000年的年降水量的空间分布不均匀;1986年的年降水量与其多年平均的相对值空间分布较均匀,2000年的年降水量与其多年平均的相对值空间分布不均匀。

关键词: 信息熵, 年降水量, 时空变化, 不确定性

Abstract: The temporal and spatial variation of annual precipitation in Henan province was researched based on the theory of information entropy. The annual precipitation time series at 83 stations from 1960 to 2006 was selected. The estimated information entropy of the annual precipitation time series and the relative value of annual precipitation to its minimum at each station, as well as the estimated information entropy of the annual precipitation’s spatial distribution and the relative value of annual precipitation to its multi-year average in each year,were calculated. Results show that the interannual variation of annual precipitation increases from northwest to southeast and from west to east, and reduces from south to north, but has no obvious regularity from southwest to northeast; while the interannual variation of the relative value of annual precipitation to its minimum increases from southwest to northeast but has no obvious regularity in the other directions. The spatial distribution of annual precipitation was uniform in 1966, 1976, 1999 and 2001 and nonuniform in 2000; the spatial distribution of the relative value of annual precipitation to its multi-year average is uniform in 1986 and nonuniform in 2000.

Key words: information entropy, annual precipitation, temporal and spatial variation, uncertainty

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