灾害学2017，Vol.32Issue(1)：96-105,10.DOI:10.3969/j.issn.1000-811X.2017.01.017
近60年辽宁省极端气候事件趋势时空变化特征分析
Spatial and Temporal Characteristics of Trends in Extreme Weather Events in Liaoning Province during 1957-2014
摘要
Abstract
Selecting nearly 60 years daily temperature and precipitation sequence of 22 stations in Liaoning, the certain thresholds are determined,and analyze the spatial and temporal features of Liaoning province’s extreme temperature and precipitation days by using empirical mode decomposition (EMD)and kriging interpolation meth-od.The results show that:(1 )nearly 60 years the extremely low temperature and high temperature days were pres-ent -1 d/10a and 0.5 d /10a changes trend;The extreme low temperature rate of variation in space with two low value center (Kuandian,Jianping)and a high value center (Zhangwu);The extreme high temperature rate of var-iation in space has showed a decreasing trend from southwest to northeast.The spatial distribution of total extreme temperature days decrease roughly from the southwest and southeast to the north or has downtrend to the sides that Fushun,Shenyang,Anshan,Yingkou become a center of the total extreme heat temperature days like a line.(2) Extreme precipitation days take on a minute lessened performance and its rate is -0.2d/10a,its variation is not obvious.The isoline of rate of variation has divided Liaoning province into two parts:the precipitation of southeast of Liaoning is obvious because it is closed to the sea and has vast mountains.The total extreme precipitation days distinctly display a downtrend from coastal to inland.(3)Descending rate of continuous day drought is -0.6 d/a,and the average annual drought is 22 d.In space,the biggest decreasing region is Xiuyan,and its rate is higher than -1d/10a.The variation rate of Chaoyang,Fuxin,Suizhong,Zhangwu is between -0.3d/10a and -0.5d/10a.Total continuous day drought has a high value center (Jianping)and a low center (Qingyuan).关键词
极端气候事件/趋势/时空变化/百分位阈值/EMD/辽宁省Key words
trend of extreme weather events/percentile threshold value method/EMD/Liaoning Province分类
资源环境引用本文复制引用
李颖,任家璇,冯玉,唐伟男..近60年辽宁省极端气候事件趋势时空变化特征分析[J].灾害学,2017,32(1):96-105,10.基金项目
辽宁省教育厅科学技术研究项目（L201683677）；辽宁师范大学青年科研基金项目 （）
