热带气象学报2026，Vol.42Issue(2)：221-231,11.DOI:10.16032/j.issn.1004-4965.2026.019
引发黄山地区暴雨的台风特征分析
Analysis of the Characteristics of Typhoons Causing Heavy Rains in Huangshan Area
摘要
Abstract
Based on daily precipitation data from 185 automatic meteorological stations and ERA5 reanalysis data in Huangshan area from 2007 to 2024,this study statistically analyzed the characteristics of typhoons causing heavy rainstorms in the heartland of Huangshan area.The analysis shows that the average number of typhoons that cause heavy rainstorms in Huangshan area is 1.4 per year,with the highest frequency of 3 occurring in 2008.These events are primarily concentrated from July to September,typically lasting 1 to 4 days and up to a maximum of 5 days.The comprehensive intensity index of typhoon-induced rainstorms generally ranges from 1 to 3,and 7,reaching a maximum of 20.The paths of typhoons affecting the region can be divided into five categories,among which the northwest and northward tracks are the most frequent,followed by the coastal track,with the Guangdong and westward tracks being the least frequent.The typhoon rainstorm intensity index varies significantly among different tracks,peaking for the northwest track,followed by the northward track,and reaching its lowest for the westward track.All affecting typhoons are accompanied by spiral rainbands.The convergence of the warm,moist air mass of the typhoon with low-level cold air predominantly generates heavy precipitation in the right-front quadrant of the typhoon's track.Precipitation is dominated by the typhoon's core circulation,whereas remote precipitation is relatively infrequent.Notably,the local topographic forcing of the Huangshan Mountains substantially amplifies the core precipitation intensity,particularly for typhoons following the northwest and northward tracks.关键词
台风暴雨/时空分布/台风路径/特征分析/黄山地区Key words
typhoon rainstorm/spatiotemporal distribution/feature analysis/typhoon path/Huangshan Mountain分类
天文与地球科学引用本文复制引用
孙蓓蓓,方祥生,岳如画,刘裕禄,张景,范东福..引发黄山地区暴雨的台风特征分析[J].热带气象学报,2026,42(2):221-231,11.基金项目
国家自然科学基金项目(42106030)资助 （42106030）
