Many geological data show that the arid environment is not always dry, but there are periodic dry and wet changes. Therefore, it is very important to study the dry and wet change law and mechanism of arid environment to understand the future evolution of arid environment. Morlet wavelet analysis is an analysis method with time, frequency domain and multi-layer resolution, which can obtain the periodic characteristics of hydrometeorological data (year, season, month) on a certain time scale, so as to evaluate its future development trend. Based on 60 years of monthly rainfall data from 1959 to 2019 in Guanzhong region, this paper takes SPI-12 as the drought index, and uses the real part time–frequency distribution map of wavelet coefficients to obtain the time and frequency variation characteristics of SPI-12 time series at six hydrographic stations in Fengxiang, Changwu, Pucheng, Huashan, Taibai and Wugong in Guanzhong region. It reflects the periodic variation characteristics of drought degree in Guanzhong region on a certain time scale, it provides a research basis for the early warning of drought events in Guanzhong region in the future and an effective technical reference for the study of the change regularity of drought events in arid and semi-arid regions in the future.


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    Title :

    Characteristics of Drought Periodicity Based on Morlet Wavelet Analysis: A Case Study of Guanzhong Region


    Additional title:

    Environ Sci Eng


    Contributors:

    Conference:

    International Conference on Advances in Energy Resources and Environment Engineering ; 2023 ; Sanya, China December 29, 2023 - December 31, 2023



    Publication date :

    2025-04-16


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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