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Journal of Arid Land  2018, Vol. 10 Issue (5): 673-685    DOI: 10.1007/s40333-018-0094-y
Orginal Article     
Characteristics of daily extreme wind gusts on the Qinghai-Tibet Plateau, China
Zhengyi YAO1, Xiaoying LI1, Jianhua XIAO1,2,*()
1 Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2 Gansu Center for Sand Hazard Reduction Engineering and Technology, Lanzhou 730000, China
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Abstract  

Severe wind is a major natural hazard and a main driver of desertification on the Qinghai-Tibet Plateau. Generally, studies of Qinghai-Tibet Plateau's wind climatology focus on mean wind speeds and its gust speeds have been seldom investigated. Here, we used observed daily maximum gust speeds from a 95-station network over a 5-year period (2008-2012) to analyze the characteristics of extreme wind speeds and directions by fitting Weibull and Gumbel distributions. The results indicated the spatial distribution of extreme wind speeds and their direction on the Qinghai-Tibet Plateau is highly variable, with its western portion prone to greater mean speeds of extreme wind gusts than its eastern portion. Maximum extreme wind speeds of 30.9, 33.0, and 32.2 m/s were recorded at three stations along the Qinghai Tibet Railway. Severe winds occurred mostly from November to April, caused primarily by the westerly jet stream. Terrain greatly enhances the wind speeds. Our spatial analysis of wind speed data showed that the wind speeds increased exponentially with an increasing altitude. We also assessed the local wind hazard by calculating the return periods of maximum wind gusts from the observational data based on the statistical extreme value distributions of these wind speeds. Further attention should be given to those stations where the yearly maximum daily extreme wind speed increased at a rate greater than that of mean value of daily extreme wind speeds. Severe extreme wind events in these regions of the plateau are likely to become more frequent. Consequently, building structural designers working in these areas should use updated extreme wind data rather than relying on past data alone.



Key wordsextreme wind gusts      wind direction      wind hazard      wind speeds      Qinghai-Tibet Plateau     
Received: 23 February 2017      Published: 10 October 2018
Corresponding Authors:
Cite this article:

Zhengyi YAO, Xiaoying LI, Jianhua XIAO. Characteristics of daily extreme wind gusts on the Qinghai-Tibet Plateau, China. Journal of Arid Land, 2018, 10(5): 673-685.

URL:

http://jal.xjegi.com/10.1007/s40333-018-0094-y     OR     http://jal.xjegi.com/Y2018/V10/I5/673

[1] Bai H Z, Dong A X, Li D L, et al.2005. Temporal and spatial characteristics of strong wind and dust days in Qinghai-Xizang Plateau and along Qingzang Railway. Plateau Meteorology, 24(3): 311-315. (in Chinese)
[2] Boos W R, Kuang Z M.2010. Dominant control of the South Asian monsoon by orographic insulation versus plateau heating. Nature, 463(7278): 218-222.
[3] Boos W R, Kuang Z M.2013. Sensitivity of the South Asian monsoon to elevated and non-elevated heating. Scientific Reports, 3: 1192-1195.
[4] Carta J A, Ramírez P.2007. Analysis of two-component mixture Weibull statistics for estimation of wind speed distributions. Renewable Energy, 32(3): 518-531.
[5] Carta J A, Ramírez P, Velázquez S.2009. A review of wind speed probability distributions used in wind energy analysis. Renewable and Sustainable Energy Reviews, 13(5): 933-955.
[6] Chen Y F, Gao G.2010. An analysis to losses caused by meteorological disasters in China during 1989-2008. Meteorological Monthly, 36(2): 76-80. (in Chinese)
[7] Datta R, Ranganathan V T.2003. A method of tracking the peak power points for a variable speed wind energy conversion system. IEEE Transactions on Energy Conversion, 18(1): 163-168.
[8] Fang X M, Han Y X, Ma J H, et al.2004. Dust storms and loess accumulation on the Tibetan Plateau: A case study of dust event on 4 March 2003 in Lhasa. Chinese Science Bulletin, 49(9): 953-960.
[9] Goldstein J, Langlois J D, Dimitrijevic M, et al.2008. Approaches for extreme wind speed assessment: a case study. In: Proceedings of the 7th World Wind Energy Conference 2008. Kingston: Ontario, Helimax Energy Inc.
[10] Han Y, Fang X, Kang S, et al.2008. Shifts of dust source regions over central Asia and the Tibetan Plateau: Connections with the Arctic oscillation and the westerly jet. Atmospheric Environment, 42(10): 2358-2368.
[11] Ju K Y.2012. Primary analysis on loss of meteorological disaster in Qinghai Province in recent 27a. Journal of Qinghai Meteorology, 3: 2-5. (in Chinese)
[12] Kiss P, Jánosi I M.2008. Comprehensive empirical analysis of ERA-40 surface wind speed distribution over Europe. Energy Conversion and Management, 49(8): 2142-2151.
[13] Larsson A.2002. Flicker emission of wind turbines during continuous operation. IEEE Transactions on Energy Conversion, 17(1): 114-118.
[14] Li J C, Liu H X, Su Z Z, et al.2015. Changes in wind activity from 1957 to 2011 and their possible influence on aeolian desertification in northern China. Journal of Arid Land, 7(6): 755-764.
[15] Liu X D, Dong B W.2013. Influence of the Tibetan Plateau uplift on the Asian monsoon-arid environment evolution. Chinese Science Bulletin, 58(34): 4277-4291.
[16] Lun I Y F, Lam J C.2000. A study of Weibull parameters using long-term wind observations. Renewable Energy, 20(2): 145-153.
[17] Luo S Z, Wang Q C, Dai S.2012. An analysis of climate characteristics of meteorological disasters in Qinghai Province. Journal of Glaciology and Geocryology, 34(6): 1380-1387. (in Chinese)
[18] Monahan A H.2007. Empirical models of the probability distribution of sea surface wind speeds. Journal of Climate, 20: 5798-5814.
[19] Morjani Z E A A E. 2011. Wind Speed Hazard Modelling. Methodology document for the WHO e-atlas of disaster risk. Volume 1. Exposure to natural hazards Version 2.0. Agadir: Morocco Taroudant Poly-Disciplinary Faculty of the Ibn Zohr University of Agadir Press, 10-14.
[20] Qiu J.2008. China: The third pole. Nature, 454: 393-396.
[21] Razali A M, Salih A A, Mahdi A A.2009. Estimation accuracy of Weibull distribution parameters. Journal of Applied Sciences Research, 5(7): 790-795.
[22] Rocha P A C, de Sousa R C, de Andrade C F, et al.2012. Comparison of seven numerical methods for determining Weibull parameters for wind energy generation in the northeast region of Brazil. Applied Energy, 89(1): 395-400.
[23] Seguro J V, Lambert T W.2000. Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis. Journal of Wind Engineering and Industrial Aerodynamics, 85(1): 75-84.
[24] Shi P J.2003. Atlas of Natural Disaster System of China. Beijing: Science Press, 170-172. (in Chinese)
[25] Stewart D A, Essenwanger O M.1978. Frequency distribution of wind speed near the surface. Journal of Applied Meteorology and Climatology, 17: 1633-1642.
[26] Tye M R, Stephenson D B, Holland G J, et al.2014. A Weibull approach for improving climate model projections of tropical cyclone wind-speed distributions. Journal of Climate, 27: 6119-6133.
[27] Waylen P, Woo M.1982. Prediction of annual floods generated by mixed processes. Water Resources Research, 18(4): 1283-1286.
[28] Xie S B, Qu J J, Lai Y M, et al.2015. Effects of freeze-thaw cycles on soil mechanical and physical properties in the Qinghai-Tibet Plateau. Journal of Mountain Science, 12(4): 999-1009.
[29] Ye D Z, Gao Y X.1979. Climatology of the Qinghai-Tibetan Plateau. Beijing: Science Press, 49-59. (in Chinese)
[30] Zhang K C, Qu J J, Han Q J.2012. Wind energy environments and aeolian sand characteristics along the Qinghai-Tibet Railway, China. Sedimentary Geology, 273-274: 91-96.
[31] Zhou Y, Guo B, Wang S X, et al.2015. An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing. Journal of Arid Land, 7(3): 304-317.
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