主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2020, Vol. 36 ›› Issue (2): 70-77.doi: 10.3969/j.issn.1673-503X.2020.02.009

• 论文 • 上一篇    下一篇

基于Hurst指数的黑龙江省作物生长季降水趋势研究

姜丽霞1(),王晾晾1,吕佳佳1,高明2,王萍1,王秋京1,宫丽娟1,赵慧颖1,*()   

  1. 1. 黑龙江省气象科学研究所/中国气象局东北地区生态气象创新开放实验室/黑龙江省气象院士工作站, 黑龙江 哈尔滨 150030
    2. 黑龙江省气象局, 黑龙江 哈尔滨 150030
  • 收稿日期:2019-03-12 出版日期:2020-04-30 发布日期:2020-03-03
  • 通讯作者: 赵慧颖 E-mail:hljjlx@163.com;zhaohhyy2008@aliyun.com
  • 作者简介:姜丽霞,女, 1972年生,正研级高级工程师,主要从事应用气象、气候资源和气候变化研究, E-mail:hljjlx@163.com
  • 基金资助:
    国家自然科学基金项目(31671575);国家自然科学基金项目(31671576);黑龙江省自然科学基金项目(LH2019D015);东北区域气象中心科技创新联合攻关项目(2019QYLH3);东北地区生态气象创新开放实验室开放研究基金项目(stqx2019zd01)

A study on rainfall trend during the crop growing season in Heilongjiang province based on Hurst exponent method

Li-xia JIANG1(),Liang-liang WANG1,Jia-jia LV1,Ming GAO2,Ping WANG1,Qiu-jing WANG1,Li-juan GONG1,Hui-ying ZHAO1,*()   

  1. 1. Heilongjiang Province Institute of Meteorological Science/Innovation and Opening Laboratory of Regional Eco-Meteorology in Northeast, China Meteorological Administration/Meteorological Academician Workstation of Heilongjiang Province, Harbin 150030, China
    2. Heilongjiang Province Meteorological Service, Harbin 150030, China
  • Received:2019-03-12 Online:2020-04-30 Published:2020-03-03
  • Contact: Hui-ying ZHAO E-mail:hljjlx@163.com;zhaohhyy2008@aliyun.com

摘要:

基于黑龙江省78个气象站1971—2016年逐日降水资料,综合采用墨西哥帽小波分析、Hurst指数分析等方法,对黑龙江省作物生长季(5—9月)降水量变化和未来趋势进行分析及预测。结果表明:1971—2016年,黑龙江省生长季、5月、6月降水量存在7 a、14 a、7 a左右的主周期,7月、8月、9月降水量存在2 a、3 a、7 a左右的第1主周期及6 a、11 a、21 a左右的第2主周期,各月均存在最近几年降水偏多的趋势;作物生长季降水量年际间为波动式振荡变化,7月、8月振荡幅度相对较大。年代际变化总体存在增加—减少—增加趋势,20世纪80年代、90年代降水量普遍偏多,2010年以来出现急转升高变化;单站各月Hurst指数均在0.5以上,降水存在比较明显的赫斯特现象;降水主要出现在夏季且以7月最为集中,最近几年降水偏多、7月异常降水集中以及主要流域未来7月降水的持续增加趋势在农业防灾减灾上值得关注。

关键词: 降水量时间序列, 墨西哥帽小波, Hurst指数

Abstract:

Based on daily precipitation data from the 78 meteorological stations in Heilongjiang province from 1971 to 2016, this paper analyzed the historical and future trends of precipitation change during the crop growing season (from May to September) in Heilongjiang province by using the methods of Mexican-hat wavelet transform and Hurst exponent.The results show that there are the major quasi-periods of 7 years, 14 years and 7 years in the growing season, May and June, respectively, and the first quasi-periods of 2 years, 3 years and 7 years as well as the second quasi-periods of 6 years, 11 years and 21 years in July, August and September, respectively, for precipitation in Heilongjiang province during 1971-2016.Meanwhile, the precipitation in each month shows an increasing trend in recent years.The precipitation in growing season shows a fluctuant interannual variation and the change amplitudes are relatively large in July and August.In addition, the precipitation experiences an interdecadal change of increase-decrease-increase pattern.Specifically, the precipitation is above the normal level in the 1980s and 1990s and sharply increases since 2010.The Hurst exponent of each month is above 0.5 at each station, which means that there is an obvious Hurst Phenomenon for precipitation.Precipitation mainly occurs in summer, especially in July.The facts that the precipitation increases and concentrates abnormally in July in recent several years as well as persistently increases in main river basins in July in the future are worthy of attention in agricultural disaster prevention and mitigation.

Key words: Precipitation time series, Mexican-hat wavelet transform, Hurst exponent

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