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Analysis of Spatiotemporal Characteristics of Drought and Flood in the Haihe River Basin from 1965 to 2015

  • Qianqian Fan
  • Anzhou ZhaoEmail author
  • Anbing Zhang
  • Lili Feng
  • Yuling Zhao
  • Haixin Liu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 980)

Abstract

Based on the data of monthly precipitation and monthly temperature, this study analyzed the spatiotemporal characteristics of drought and flood in the Haihe River Basin. The results indicated that: (1) Standardized Precipitation Evapotranspiration Index (SPEI) at the annual scale and in spring and summer all showed a trend of drought. The trend of SPEI passed the 0.05 significance test only in summer. (2) According to the trends of drought and flood, the whole basin showed the trend of drought at the annual scale and in summer, the northeast and west showed the trend of drought in spring, and the central and northern parts of the basin showed the trend of wetting in autumn. (3) Results of Empirical Orthogonal Function (EOF) analysis showed that the primary spatiotemporal distribution patterns of SPEI at the annual and seasonal scales are consistent, and the reverse distribution pattern was apparent between the south and north.

Keywords

SPEI Drought and flood Spatiotemporal variation EOF Haihe River Basin 

Notes

Acknowledgments

This work was jointly supported by the Natural Science Foundation of Hebei Province (Grant # D2017402159), Program of Education Department of Hebei Province (Grant # BJ2018043) and Handan Municipal Science and Technology Bureau (1724230057-1) and Handan Municipal Science and Technology Bureau (1721203048-2).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Qianqian Fan
    • 1
  • Anzhou Zhao
    • 2
    Email author
  • Anbing Zhang
    • 2
  • Lili Feng
    • 2
  • Yuling Zhao
    • 2
  • Haixin Liu
    • 2
  1. 1.School of Earth Science and EngineeringHebei University of EngineeringHandanChina
  2. 2.School of Mining and GeomaticsHebei University of EngineeringHandanChina

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