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Journal of Geographical Sciences

, Volume 29, Issue 6, pp 863–876 | Cite as

Spatio-temporal patterns of drought evolution over the Beijing-Tianjin-Hebei region, China

  • Jie Zhang
  • Fubao SunEmail author
  • Wenbin Liu
  • Jiahong Liu
  • Hong Wang
Article
  • 8 Downloads

Abstract

Spatio-temporal patterns of drought from 1961 to 2013 over the Beijing-Tianjin-Hebei (BTH) region of China were analyzed using the Palmer Drought Severity index (PDSI) based on 21 meteorological stations. Overall, changes in the mean-state of drought detected in recent decades were due to decreases in precipitation and potential evapotranspiration. The Empirical Orthogonal Functions (EOF) method was used to decompose drought into spatio-temporal patterns, and the first two EOF modes were analyzed. According to the first leading EOF mode (48.5%), the temporal variability (Principal Components, PC1) was highly positively correlated with annual series of PDSI (r=+0.99). The variance decomposition method was further applied to explain the inter-decadal temporal and spatial variations of drought relative to the total variation. We find that 90% of total variance was explained by time variance, and both total and time variance dramatically decreased from 1982 to 2013. The total variance was consistent with extreme climate events at the inter-decadal scale (r=0.71, p<0.01). Comparing the influence of climate change on the annual drought in two different long-term periods characterized by dramatic global warming (P1: 1961–1989 and P2: 1990–2013), we find that temperature sensitivity in the P2 was three times more than that in the P1.

Keywords

PDSI spatial and temporal patterns sensitivity analysis global warming 

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Copyright information

© Science Press Springer-Verlag 2019

Authors and Affiliations

  • Jie Zhang
    • 1
  • Fubao Sun
    • 1
    Email author
  • Wenbin Liu
    • 1
  • Jiahong Liu
    • 2
  • Hong Wang
    • 1
  1. 1.Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resources ResearchCASBeijingChina
  2. 2.Key Laboratory of Simulation and Regulation of Water Cycle in River BasinChina Institute of Water Resources and Hydropower ResearchBeijingChina

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