SCIENTIA GEOGRAPHICA SINICA ›› 2021, Vol. 41 ›› Issue (4): 717-727.doi: 10.13249/j.cnki.sgs.2021.04.018

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Multiscale Analysis of Wind Speed and Its Influencing Factors in Liaoning Province From 1964 to 2019

Fan Shuaibang1(), Xiao Chunliu2, Cao Yongqiang2(), Gao Lu3   

  1. 1. School of Public Administration, Dongbei University of Finance and Economics, Dalian 116025, Liaoning, China
    2. School of Geographical Sciences, Liaoning Normal University, Dalian 116029, Liaoning, China
    3. School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
  • Received:2020-11-03 Revised:2021-03-10 Online:2021-04-25 Published:2021-06-04
  • Contact: Cao Yongqiang E-mail:fanshuaibang@dufe.edu.cn;caoyongqiang@lnnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(51779114);Natural Science Foundation of Liaoning Province(2020-BS-222)

Abstract:

The degree and strength of the wind will cause changes in many meteorological elements. Exploring the temporal and spatial distribution of the wind field and its historical changes can provide important references for climate forecast and scientific utilization of wind energy. Based on the daily monitoring data of wind speed and other meteorological factors data of 23 meteorological stations in Liaoning Province from 1964 to 2019, this paper analyzed the spatial and temporal variation of the wind field and wind speed in Liaoning Province by multi-scale analysis using Empirical Orthogonal Function (EOF), Morlet wavelet analysis and Mann-Kendall non-parametric test. The results show that: 1) During 1964-2019, the average wind speed in Liaoning Province presented a significant decrease with a rate of 0.13 m/(s·10a). Further, this paper indicated that the bimodal distribution is a characteristic of intra-year trend analysis. The four seasons in a year were listed in the sequence as follows based on descending order of the decreasing rate value: spring, winter, autumn and summer. However, no abrupt changes were evident at all scales. 2) The spatial distribution of the average wind speed showed an evolutionary pattern centered on the central region and gradually decreased from east to west on both interannual and interdecadal scales, but the high-value area of the latter gradually changed from strip to point-like distribution. 3) The increase in average temperature and decrease in sunshine hours contributed more to the weakening of the average wind speed in Liaoning Province in the past 56 years. The results of the study provide a theoretical basis for the prevention and mitigation of wind disasters and the scientific utilization of wind energy in the region.

Key words: average wind speed, spatial and temporal evolution characteristics, Empirical Orthogonal Function (EOF), principal component analysis, Liaoning Province

CLC Number: 

  • F129.9