欢迎访问《中国农学通报》,

中国农学通报 ›› 2016, Vol. 32 ›› Issue (19): 152-157.doi: 10.11924/j.issn.1000-6850.casb16020016

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

黑河流域金塔段降水量对当地气候变化的响应

王胜,郭海瑛   

  1. 甘肃省酒泉市金塔县气象局,金塔县气象局
  • 收稿日期:2016-02-03 修回日期:2016-05-30 接受日期:2016-03-25 出版日期:2016-07-15 发布日期:2016-07-15
  • 通讯作者: 王胜
  • 基金资助:
    国家重点基础研究发展计划(973 计划)[2013CB430200(2013CB430206)];甘肃省酒泉市气象局“黑河流域金塔段气候变化对当地水资源的影响”(201613-6)。

Precipitation: Response to Local Climate Change in Jinta of Heihe River Basin

王胜 and 郭海瑛   

  • Received:2016-02-03 Revised:2016-05-30 Accepted:2016-03-25 Online:2016-07-15 Published:2016-07-15

摘要: 为了得到金塔降水量对当地气候变化的响应特征,通过小波分析法等统计方法对降水量和相关气候要素资料进行分析研究。结果表明:(1)近年来金塔县降水量除秋季以外,年以及其他季节降水量均呈显著上升趋势;(2)通过对降水量的多时间尺度分析,发现42 年内存在15 年左右的尺度,1975—1982 年、1988—1996 年、2004—2014 为偏多期,1982—1988 年、1996—2004 年为偏少期;利用Mann-Kendall 法、T滑动检验发现,当地降水量在42 年内虽然出现波动,但并未出现突变;(3)在夏季,降水量与其他气象要素存在着明显的响应关系,为了找到这种关系,依次进行相关性分析发现,随着降水量的变化,气温、日照时数、地表温度均表现出增大的趋势,其中降水量和地表温度的相互关系表现最为紧密,相关系数也最高。

关键词: 猕猴桃, 猕猴桃, ‘豫猕猴桃2号’, 喷雾授粉, 花粉悬浊液, 制备方法

Abstract: The paper aims to get the response features of precipitation to local climate change in Jinta of Heihe River Basin, the authors analyzed the precipitation and related climate factors data by wavelet analysis and other statistical methods. The results showed that: (1) in recent years, the annual precipitation and seasonal (except autumn) precipitation in Jinta were significantly rising; (2) through the multiple time scale analysis of precipitation, a 15-year scale mainly existed in a 42-year period; there was more precipitation amount from 1975 to 1982, 1988 to 1996, and 2004 to 2014, however the precipitation amount from 1982 to 1988, and 1996 to 2004 was less; local precipitation had fluctuations in 1973-2014 verified by using Mann-Kendall method and T slide test, but no mutations; (3) in summer, precipitation and other meteorological elements had obvious response relationship, in order to find the relationship between them, the correlation analysis indicated that: with the change of precipitation, air temperature, sunshine hours and surface temperature all showed an increasing trend, the precipitation and surface temperature had the closest relationship, and their correlation coefficient was the highest.