摘要
利用1980—2019年中国612个气象站点逐月降水量和温度数据计算多尺度标准化降水蒸散指数(SPEI),根据中国气温条件划分7大地理分区并结合时空立方体、时空热点分析、时空聚类和时空异常值来探究中国近40年多尺度标准化降水蒸散指数SPEI的时空分布特征。结果表明:(1)通过干旱频率的计算,发现轻度干旱和极端干旱最为严重的地区为内蒙古草原地区,严重干旱和中度干旱在西北荒漠地区最为严重。(2)通过时空立方体展示出中国旱情在时空分布上差距较为显著,西北地区最为严重,其次是西南的西部地区和华北的北部地区;(3)对我国近40年SPEI 12的时空热点进行分析可得我国旱情的时空趋势,其中冷点地区和热点地区各有2个,热点主要分布在华中和东北地区的西部,冷点主要分布在华中的中部地区;(4)对多尺度SPEI进行局部异常值分析得到,年尺度的华南西部和华中、华南湿润亚热带地区的中部呈低-低聚类,说明该地全年旱情相对更严重。
In this paper,we use monthly precipitation and temperature data from 612 meteorological stations in China from 1980 to 2019 to calculate the multiscale standardized precipitation evapotranspiration index(SPEI)and to investigate the spatial and temporal distribution of the SPEI in China over the past 40 years.The results showed that:(1)The frequency of drought and the spatio-temporal cube showed that there were significant differences in the spatio-temporal distribution of drought in China,with the most severe drought in the northwest,followed by the western part of southwest China and the northern part of northern China;(2)The spatio-temporal trend of drought in China over the past 40 years was obtained from the analysis of the spatio-temporal hotspots of the SPEI 12,where there were two cold spots and two hot spots,one in central China and one in northern China;(3)The spatio-temporal trend of drought in China was obtained from the analysis of the spatio-temporal hot spots of the SPEI 12.The west of the northeastern region,cold spots were mainly distributed in central China;(4)Local anomaly analysis of multiscale SPEI yielded low-low clustering in the annual-scale west of southern China and the central humid subtropical region of central China,indicating that the drought is relatively more severe throughout the year in this area.
作者
张棋
许德合
丁严
ZHANG Qi;XU Dehe;DING Yan(College of Geosciences and Engineering, North China University of Water Resourcesand Electric Power,Zhengzhou, Henan 450000, China;College of Surveying and Geo-informatics, North China University of Water Resourcesand Electric Power,Zhengzhou, Henan 450000, China)
出处
《干旱地区农业研究》
CSCD
北大核心
2021年第3期194-201,共8页
Agricultural Research in the Arid Areas
基金
国家自然科学基金(51679089)
2019年度河南省重点研发与推广专项(192102310257)
地理信息工程国家重点实验室基金(SKLGIE2019-Z-4-2)。
