气象2016，Vol.42Issue(11)：1289-1303,15.DOI:10.7519/j.issn.1000-0526.2016.11.001
风速等级标准与2016年6月23日阜宁龙卷强度估计
Wind Speed Scales and Rating of the Intensity of the 23 June 2016 Tornado in Funing County,Jiangsu Province
摘要
Abstract
This paper reviews the existing different types of wind speed scales,and rates in detail the inten-sity of the tornado causing heavy casualties on June 23,2016 in Funing County of Jiangsu Province,and the intensity of the downburst on June 1,2015,causing the “Dongfangzhixing (Eastern Star)”cruise ship overturn.Furthermore,issues of the existing wind speed scales are discussed,and future work is presen-ted.Based on detailed damage survey data,the Funing tornado intensity is rated EF4,and the downburst causing the cruise ship overturn is only EF1 .Also,the intensity rating of the two catastrophic events clearly shows the differences between EF-scale and F-scale.However,the damage at each site caused by the Funing tornado still need further rate.Due to the structure and conditions of different buildings and vegetation,the corresponding environments and the complexity of the mechanism causing damage,there must be an amount of uncertainties in the tornado or downburst intensity rating.Tornado intensity rating has more uncertainties than downburst because of the complex vortex structure and spatial distribution of air pressure of tornado,and impacts of wind-driven debris caused by tornado.Improving objectivity,appli-cability,accuracy,consistency,and convenience of wind speed scale is an inevitable demand of future work for intensity rating of tornado or downburst.Comprehensive wind damage scale in future also need be de-veloped to integrate intensity distribution,path length and width,movement speeds and duration,so as to provide the basis for rating comprehensive impacts of tornado or downburst.关键词
强度/等级/龙卷/下击暴流/现场调查Key words
intensity/scale/tornado/downburst/damage survey分类
天文与地球科学引用本文复制引用
郑永光,朱文剑,姚聃,孟智勇,薛明,赵坤,伍志方,王啸华,郑媛媛..风速等级标准与2016年6月23日阜宁龙卷强度估计[J].气象,2016,42(11):1289-1303,15.基金项目
国家重点基础研究发展计划（973计划）（2013CB430106）、国家自然科学基金项目（41375051）和公益性行业（气象）科研专项（GYHY201406002）共同资助 （）
