Statistical characteristics of the spatial distribution of wind and snowfall in the Beijing-Tianjin-Hebei Region
Autor: | Yajing Zhang, Xuetao Yu, Yaya Jia, Ling Gao, Jianqing Bu, Qingkuan Liu |
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Rok vydání: | 2020 |
Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 020209 energy Science 02 engineering and technology Spatial distribution 01 natural sciences Wind speed Article Environmental impact Beijing 0202 electrical engineering electronic engineering information engineering 0105 earth and related environmental sciences Multidisciplinary Wind power business.industry Natural hazards Wind direction Snow Current (stream) Environmental science Medicine business Intensity (heat transfer) |
Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
ISSN: | 2045-2322 |
Popis: | In the current design specification of building structure, the basic wind pressure and basic snow pressure are two independent values, and it is impossible to acquire both of these values when snow and wind occur at the same time. Taking parameters such as snowfall intensity, snowfall amount, wind speed, and wind direction as indicators, the value of the combined distribution of wind and snowfall in the Beijing–Tianjin–Hebei region of China was extracted. A joint distribution map of the daily average snowfall among the top-ten largest consecutive snowfall events and the daily average wind scale from the first day of snowfall to the fifth day after the snowfall were obtained. The study found that after a heavy snowfall in the Zhangjiakou area, the accumulated wind power was large and, although the wind speed was favorable for the occurrence of snowdrifts, the snowfall was light. After a heavy snowfall in the Shijiazhuang area, the accumulated wind power was small, and the probability of snowdrift formation was low. In the eastern regions of Cangzhou, Beijing, Tianjin, Tangshan, and Qinhuangdao, the accumulated wind force was relatively large after a heavy snowfall, and the probability of windblown snow was relatively high. |
Databáze: | OpenAIRE |
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