Study of the Characteristics of the Long-Term Persistence of Hourly Wind Speed in Xinjiang Based on Detrended Fluctuation Analysis

被引:0
作者
Wang, Xiuqin [1 ,2 ]
Lu, Xinyu [1 ]
Li, Qinglei [2 ]
Zhou, Hongkui [2 ]
Li, Cheng [2 ]
Zou, Xiaohui [3 ]
机构
[1] China Meteorol Adm, Inst Desert Meteorol, Urumqi 830002, Peoples R China
[2] Meteorol Informat Ctr Xinjiang Uygur Autonomous Re, Urumqi 830002, Peoples R China
[3] Xinjiang Beitashan Meteorol Stn, Qitai 831800, Peoples R China
关键词
detrended fluctuation analysis; wind speed; long-term persistence; stability; RANGE CORRELATION; TEMPERATURE; SPECTRUM;
D O I
10.3390/atmos15010037
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Profound research on the characteristics of the long-term persistence of wind is greatly significant for understanding the characteristics of wind speed mechanisms as well as for avoiding disasters caused by wind. In the current study, we selected the hourly 10 min wind speed series between 2017 and 2021 from 105 nation-level meteorological stations in Xinjiang and investigated the spatiotemporal variations in the long-term persistence of wind speed in different regions of Xinjiang and in different seasons using detrended fluctuation analysis. The main findings are as follows: (1) The wind speed in Xinjiang shows noticeable annual and seasonal variations, exhibiting satisfactory long-term sustainability. Winter has the best long-term sustainability, followed sequentially by spring, autumn, and summer because of wind speed stability. (2) The long-term persistence of hourly wind speed in Xinjiang exhibits remarkable regionality, with regions with strong wind superior to the remaining regions. (3) The long-term persistence of wind speed within the same season is primarily associated with wind speed magnitude and the dispersion degree between 90% and 100% of the wind speed numerical values. A higher wind speed indicates better long-term persistence. At the same speed, the more discrete the numerical values in the 90-100% distribution range, the better the persistence.
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页数:13
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共 31 条
  • [1] Dong K.H., 2015, Masters thesis
  • [2] Assessment of the quality of NCEP-2 and CFSR reanalysis daily temperature in China based on long-range correlation
    He, Wen-ping
    Zhao, Shan-shan
    [J]. CLIMATE DYNAMICS, 2018, 50 (1-2) : 493 - 505
  • [3] Long-range correlation in the drought and flood index from 1470 to 2000 in eastern China
    He, Wenping
    Zhao, Shanshan
    Liu, Qunqun
    Jiang, Yundi
    Deng, Beisheng
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2016, 36 (04) : 1676 - 1685
  • [4] Simplified models for uncertainty quantification of extreme events using Monte Carlo technique
    Hu, Xiaonong
    Fang, Genshen
    Yang, Jiayu
    Zhao, Lin
    Ge, Yaojun
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 230
  • [5] Jia S., 2019, Ludong Univ. J, V35, P352
  • [6] A qualitative description of boundary layer wind speed records
    Kavasseri, Rajesh G.
    Nagarajan, Radhakrishnan
    [J]. FLUCTUATION AND NOISE LETTERS, 2006, 6 (02): : L201 - L213
  • [7] A multifractal description of wind speed records
    Kavasseri, RG
    Nagarajan, R
    [J]. CHAOS SOLITONS & FRACTALS, 2005, 24 (01) : 165 - 173
  • [8] Evidence of crossover phenomena in wind-speed data
    Kavasseri, RG
    Nagarajan, R
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2004, 51 (11) : 2255 - 2262
  • [9] Examination of persistence properties of wind speed records using detrended fluctuation analysis
    Kocak, Kasim
    [J]. ENERGY, 2009, 34 (11) : 1980 - 1985
  • [10] Lei Y.D., 2018, Masters thesis