近37年黔西南最高最低气温及气温日较差变化特征  

Variation Characteristics of the Maximum and Minimum Temperature and Daily Temperature Range in Southwestern Guizhou in Recent 37 Years

作　　者：李腹广 张伟 凌明 蒋若敏 徐啟元 LI Fu-guang;ZHANG Wei;LING Ming(Southwest Guizhou Meteorological Bureau,Xingyi,Guizhou 562400;Southwest Guizhou Artificial Weather Influencing Office,Xingyi,Guizhou 562400)

机构地区：[1]黔西南州气象局,贵州兴义562400 [2]黔西南州人工影响天气办公室,贵州兴义562400 [3]兴义市人工影响天气办公室,贵州兴义562400

出　　处：《安徽农业科学》2019年第17期222-224,共3页Journal of Anhui Agricultural Sciences

基　　金：贵州省科技厅项目(黔科合基础[2016]1138)

摘　　要：利用黔西南8个台站1981—2017年平均最高气温、平均最低气温资料,采用一元回归分析和Mann-Kendll突变检验等方法,对近37年黔西南气温序列变化进行分析和检验。结果表明,近37年来黔西南平均最高、最低气温年际变化明显,平均最高、最低气温均呈上升趋势,气温日较差变化较小;平均最高、最低气温四季均呈增温趋势,其中平均最高、最低气温的增温幅度春季最明显;黔西南平均最高气温在2001年发生突变,2005年以后上升趋势明显;平均最低气温在2009年发生突变,2011年以后上升趋势明显;气温日较差在1986年发生突变,37年间上升趋势不明显;平均最高、最低气温明显升高和气温日较差的较小变化可能是产生温室效应的重要因子。Using the average maximum temperature and average minimum temperature data of 8 stations in southwestern Guizhou from 1981 to 2017,the regression analysis and Mann-Kendll mutation test were used to analyze and test the temperature series changes in southwestern Guizhou in the past 37 years.The results showed that the average maximum and minimum temperatures in southwestern Guizhou had changed significantly over the past 37 years,and the average maximum and minimum temperatures had shown an upward trend,and the change of daily temperature range was smaller;the average maximum and minimum temperatures showed a warming trend in the four seasons,and the average maximum and minimum temperatures in spring was the most obvious;the average maximum temperature in southwestern Guizhou had changed suddenly in 2001,and the upward trend after 2005 was obvious;the average minimum temperature had changed suddenly in 2009,and the upward trend after 2011 was obvious;the daily temperature range had changed suddenly in 1986,and the upward trend was not obvious in 37 years;A significant increase in the average maximum and minimum temperature and smaller change in daily temperature range may be an important factor to produce the greenhouse effect.

关 键 词：最高气温 最低气温 气温日较差 变化特征 黔西南 

分 类 号：S161.2[农业科学—农业气象学]