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Considering snow depositions and transport mechanisms in meteorological analysis of predicting snow loads on buildings.

Authors :
Zhang, Borui
Zhang, Qingwen
Mo, Huamei
Fan, Feng
Lehning, Michael
Source :
Cold Regions Science & Technology. Sep2022, Vol. 201, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

The meteorological conditions determine snow evolutions on and around buildings. Those climatic impacts have been independently considered in the current design codes of buildings, namely the wind pressure and the snow load. But snow load estimates are only based on precipitation assessments without considering the joint effect of wind and snow precipitation which lead to wind dominated deposition and snow transport. Thus, the statistics-based data provided by those building codes seem practically inadequate or at least incomplete. Using the data provided by upper-air and ground meteorological stations in northern China, including snowfall, wind velocity, and temperature, as indicators, we propose a series of statistical relationships covering aspects of snow precipitation and snow drifting. For those meteorological indicators that can affect building snow evolutions, more detailed analyses on their spatial and temporal changes have been achieved. The regionalization of snow precipitation features in northern China has also been proposed based on the clustering analysis on meteorological joint effects. The result shows that the snowfall in most northern regions of China is generally not heavy and in the form of a uniform deposition. The wind dominated depositions around buildings are more likely to appear in the regions around the Bohai Sea. • The simultaneousness of wind and precipitation in the snow load code is considered. • Climate impacts on snow evolutions on roofs are assessed via meteorological methods. • Regionalization of snow deposition features in northern China is acquired. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0165232X
Volume :
201
Database :
Academic Search Index
Journal :
Cold Regions Science & Technology
Publication Type :
Academic Journal
Accession number :
157926744
Full Text :
https://doi.org/10.1016/j.coldregions.2022.103614