Spatio\|temporal pattern mining of the last 40 years of drought in China based on SPEI index and spatio\|temporal cube
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DOI:10.7606/j.issn.1000-7601.2021.03.24
Key Words: drought characteristics  spatio\|temporal cube  SPEI  spatio\|temporal pattern mining
Author NameAffiliation
ZHANG Qi College of Geosciences and Engineering, North China University of Water Resources and Electric PowerZhengzhou, Henan 450000, China 
XU Dehe College of Surveying and Geo\|informatics, North China University of Water Resources and Electric PowerZhengzhou, Henan 450000, China 
DING Yan College of Surveying and Geo\|informatics, North China University of Water Resources and Electric PowerZhengzhou, Henan 450000, China 
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Abstract:
      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.