Engineering Proceedings (Jun 2023)

Big Data Analysis on the Characteristics of Drought Disaster Changes in Hebei Province in the Past 30 Years

  • Zhihui Tian,
  • Shuo Wang

DOI
https://doi.org/10.3390/engproc2023038052
Journal volume & issue
Vol. 38, no. 1
p. 52

Abstract

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Based on the monthly precipitation data of 139 meteorological stations from 1981 to 2015, the trend line method was used to analyze the variation of the drought area and sown area from 1981 to 2015 and the characteristics of drought in Hebei Province. The results showed the following. (1) the frequency of drought was the highest in winter and the lowest in summer, which was 43.2 and 26.2%, respectively. (2) The ratio of drought stations was highest in winter and lowest in summer. The frequency of global drought was 37 and 17% in summer and winter, respectively. Except for the increasing trend of drought in summer, all other seasons showed a decreasing trend which was significant in autumn (α = 0.05). (3) The drought intensity of the four seasons was all less than 1. The drought intensity in spring and summer showed an upward trend, while that in autumn and winter showed a downward trend. The drought intensity in autumn showed a significant downward trend (α = 0.05). (4) Drought disaster rate was positively correlated with summer drought intensity and drought ratio.

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