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利用1961~2020年南京市5个国家级气象观测站日降水资料、NCEP逐日再分析资料,对南京市暴雨覆盖范围及影响不同范围暴雨的大气环流进行分析。结果发现南京市暴雨主要集中于夏季,在空间分布上以小范围暴雨为主,相邻站点同时发生暴雨的概率明显大于非相邻站点,发生全市范围的暴雨次数相对较少。针对不同站点暴雨,通过聚类方法分析影响南京市暴雨的环流进行天气分型,结果表明引起南京市暴雨的天气型主要为季风型和气旋型,季风型占比较大,且随暴雨范围的增大占比增加;南京处在较弱的水汽辐合区时可能发生小范围暴雨,其中单站气旋型暴雨占比43%,而当较强的水汽辐合区覆盖南京大部分地区时,可能发生大范围暴雨,其中季风型暴雨占比80%以上,原因为季风影响下水汽从南方输送至南京周边有较强辐合,从而导致季风型暴雨占比较多、范围较大。
Abstract:Based on the daily precipitation data of 5 national meteorological observation stations and NCEP daily reanalysis data from 1961 to 2020, the coverage area of rainstorms in Nanjing City and the associated atmospheric circulations were analyzed. The main conclusions are as following. The rainstorms in Nanjing City mainly occur in summer, and their spatial scale is usually small. The probability of simultaneous rainstorms in adjacent stations is obviously greater than that in non-adjacent stations. The rainstorms covering the whole city rarely occur. Based on the rainstorms covering different stations, the atmospheric circulation was analyzed by clustering method for synoptic patterns. The results show that the main synoptic patterns are the monsoon and cyclone types. The monsoon type accounts for a larger proportion, which increases with the rainstorm range. When the weak water vapor flux convergence covers Nanjing, the rainstorm range is small, particularly, small range rainstorms occurring at one station associated with cyclone type account for a relatively large proportion(43%). When the strong water vapor flux convergence area covers Nanjing, a large range rainstorm may occur. The monsoon type rainstorm may occupy more than 80%. The monsoon synoptic patterns in rainstorms are quite similar, with water vapor transporting from the south to Nanjing and convergent there.
[1] 王俊,陈宝君,周淑玲,等.郑州“7·20” 特大暴雨雨滴谱特征分析[J].高原气象,2023,42(5):1247-1259.
[2] 齐庆华.中国东部降水的极端特性及其气候特征分析[J].热带气象学报,2019,35(6):742-755.
[3] 曹梦然,叶亚平,张其成,等.基于SWMM模型的南京秦淮区暴雨内涝风险分析[J].中国农村水利水电,2019(11):110-114.
[4] 陆一磊,王纪.南京高淳区暴雨特征分析及对农业的影响[J].农业灾害研究,2020,10(2):94-95.
[5] 鲁芳,刘艳丽,朱士江,等.2020年主汛期我国暴雨洪涝灾害概况分析与初步思考[J].水电能源科学,2022,40(5):68-71,150.
[6] 邓山,陆晓明,陆宝宏,等.南京市近53年气温和降水量特征分析[J].水电能源科学,2014,32(8):14-17.
[7] 张艺玄,胡正华.长江中下游地区近60年暴雨变化特征研究[J].气候与环境研究,2019,24(6):755-768.
[8] 杜尧,陈启慧,和鹏飞,等.南京地区暴雨变化特性分析[J].水资源保护,2019,35(6):89-94,114.
[9] 毛宇清,吴海英,裴海瑛,等.近50a南京夏季降水的气候特征[J].气象科学,2012,32(6):646-652.
[10] 杨秋明,黄世成,谢志清,等.南京地区夏季暴雨年际变化与大气环流的联系[J].科学技术与工程,2010,10(33):8214-8217.
[11] 马红云,韩路杰,顾春利.云凝结核对南京及周边地区夏季暴雨影响的数值模拟[J].大气科学学报,2020,43(5):897-907.
[12] 朱鑫君,黄翠芳,尹宜舟,等.南京一次特大暴雨天气过程的中尺度特征[J].气象科学,2008,28(增刊1):52-55.
[13] 周梦洁,袁慧玲.中国部分城市暴雨强度增长率及城市化影响研究[J].中国给水排水,2022,38(19):126-131.
[14] 王强,许有鹏,于志慧,等.快速城市化地区多尺度水文观测试验与暴雨洪水响应机理分析[J].水科学进展,2022,33(5):743-753.
[15] 沈烨,张晶寒,袁慧玲,等.南京城市下垫面对夏季暴雨云团特征的影响[J].水科学进展,2024,35(3):453-462.
[16] 李华实,王东海,陆虹,等.广西汛期大范围持续性强降水特征与天气学分型研究[J].热带气象学报,2023,39(2):242-255.
[17] 陈瑛,黄灿辉.基于改进粒子群算法的K均值聚类算法的研究[J].内蒙古师范大学学报(自然科学汉文版),2014,43(4):478-482.
基本信息:
DOI:10.20040/j.cnki.1000-7709.2025.20242031
中图分类号:P426.62
引用信息:
[1]赵钢,徐毅,王浩先,等.南京市不同范围暴雨特征及其天气型分析[J].水电能源科学,2025,43(10):46-49+27.DOI:10.20040/j.cnki.1000-7709.2025.20242031.
基金信息:
江苏省水利科技项目(2022015)