| 1960-2009年青海省极端气温事件的变化特征 |
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| 引用本文： | 汪宝龙,张明军,魏军林,王圣杰,马潜,李小飞.1960-2009年青海省极端气温事件的变化特征[J].中国农业气象,2012,33(1):41-47. |
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| 作者姓名： | 汪宝龙 张明军 魏军林 王圣杰 马潜 李小飞 |
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| 作者单位： | 1. 西北师范大学地理与环境科学学院,兰州,730070
2. 四川省金科成地理信息技术有限公司,成都,610041 |
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| 基金项目： | 国家自然科学基金项目（41161012）; 教育部新世纪优秀人才支持计划（NCET-10-0019）; 973国家重点基础研究发展规划项目（2010CB951003） |
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| 摘 要： | 利用1960-2009年青海省26站的最高和最低气温资料,采用线性倾向估计法、反距离加权法、M-K突变检测和Morlet小波分析等方法,研究青海省50a来极端气温事件的时空变化特征。结果表明,青海省冷夜和冷日数分别以-0.80和-0.32d.a-1的趋势显著减少(P<0.01),暖夜和暖日数分别以0.66和0.47d.a-1的速度显著增加(P<0.01),但空间差异明显。研究还表明,青海省近50a来冷夜(日)和暖夜(日)数发生了明显的突变(P<0.01);冷夜(日)和暖夜(日)数在一定的时间序列中存在不同周期变化,且周期反映比较明显。随着气候变暖,青海省"暖冬"事件将继续增多,作物生长季也将随之延长,农业生产要采取相应的措施应对。
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| 关 键 词： | 青海省 极端气温 空间分布 年代际变化 |
Characteristics of Extreme Temperature in Qinghai Province during 1960 -2009 |
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| WANG Bao-long
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ZHANG Ming-jun
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WEI Jun-lin
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WANG Sheng-jie
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MA Qian
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LI Xiao-fei.Characteristics of Extreme Temperature in Qinghai Province during 1960 -2009[J].Chinese Journal of Agrometeorology,2012,33(1):41-47. |
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| Authors: | WANG Bao-long ZHANG Ming-jun WEI Jun-lin WANG Sheng-jie MA Qian LI Xiao-fei |
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| Institution: | 1 ( 1. College of Geography and Environment, Northwest Normal University, Lanzhou 730070, China; 2. Sichuan JKC Geographical Information Technologies Co. ,Ltd ,Chengdu 610041 ) |
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| Abstract: | Based on the data of daily maximum temperature and daily minimum temperature of 26 stations in Qinghai province from 1960 to 2009, the spatial and temporal variability of extreme temperature events was analyzed by using of regression analysis, inverse distance weighted, Mann - Kendall and wavelet analysis metllods. The results showed that the occurrence of cold days and nights decreased significantly with -0. 80 and -0. 32d.y-1 （P 〈0. 01 ） respectively, and the occurrence of warm days and nights increased significantly with 0. 66 and 0. 47d. y-I （ p 〈 0. 01 ） respectively. Both cold days （nights） and warm days （nights） existed abrupt change （ P 〈 0. 01 ）. There was displayed very clearly in cold days （nights） and warm days （nights） in different periods. With climate warming in future, winter could become warmer and growth season could extend. It was necessary to take measures in agricultural production. |
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| Keywords: | Qinghai province Extreme temperature Spatial distribution Inter-decadal variation |
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