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Research on the drought index of irrigation district with multi-time scales

Abstract

The empirical mode decomposition method is applied to analyze fluctuating periods and local features of the annual drought index and the drought index in the irrigation and non-irrigation periods from 1956 to 2010 in the Yinchuan irrigation district. In order to understand the uncertainty between these variables, the set pair analysis method is used to present the identity, discrepancy, and contrary of the drought index with multi-time scales. The results reveal that the annual drought index and the drought index in the irrigation and non-irrigation periods have a complex relationship which may be related to El Niño, the air–sea intersection, and the long period of solar activity. The drought index in the irrigation and non-irrigation periods presents mainly the contrary and the discrepancy; the fluctuating shapes of the annual drought index and drought index in the irrigation period are the same on their different period levels. The original annual drought index and its intrinsic mode function components have a certain connection degree; they mainly present the discrepancy.

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Abbreviations

PDSI:

Palmer drought severity index

SPI:

Standardized precipitation index

ET0 :

Reference crop evapotranspiration

EMD:

Empirical mode decomposition

HHT:

Hilbert–Huang Transform

IMF:

Intrinsic mode function

SPA:

Set pair analysis

SD:

Standard deviation

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Acknowledgments

This research is supported by the National Key Basic Research Project of China (Program 973-2010CB951102), the National Natural Sciences Foundation of China (project no. 50939006, 51079132, 50679075, 51109189), and the National Key Technology R&D Program (2012BAB02B04).

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Correspondence to Jinping Zhang.

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Zhang, J., Guo, B. & Ding, Z. Research on the drought index of irrigation district with multi-time scales. Environ Monit Assess 185, 8749–8757 (2013). https://doi.org/10.1007/s10661-013-3209-0

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  • DOI: https://doi.org/10.1007/s10661-013-3209-0

Keywords

  • Drought index
  • Empirical mode decomposition method
  • Set pair analysis method
  • Multi-time scales