[1]张 甜,廖晓荔*,马 君,等.渝东南地区冰雹时空分布特征[J].山地学报,2021,(1):38-46.[doi:10.16089/j.cnki.1008-2786.000574]
　ZHANG Tian,LIAO Xiaoli*,MA Jun,et al.Temporal and Spatial Distribution of Hail in Southeastern Chongqing,China[J].Mountain Research,2021,(1):38-46.[doi:10.16089/j.cnki.1008-2786.000574]
点击复制

渝东南地区冰雹时空分布特征()
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2021年第1期
页码:
38-46
栏目:
山地环境
出版日期:
2021-01-25

文章信息/Info

Title:
Temporal and Spatial Distribution of Hail in Southeastern Chongqing,China
文章编号:
1008-2786-(2021)1-038-09
作者:
张 甜1; 廖晓荔2*;  马 君1; 杜爱军1
1.重庆市巴南区气象局,重庆 巴南,401320; 2.重庆市人工影响天气办公室,重庆 401147
Author(s):
ZHANG Tian1;  LIAO Xiaoli2*;  MA Jun1; DU Aijun1
1.Ba'nan Meteorological Bureau, Ba'nan 401320,Chongqing,China; 2.Chongqing Artificial Weather Modification Office, Chongqing 401147,China
关键词:
渝东南地区;  突变及周期;  小波分析;  天气特征
Keywords:
Southeastern Chongqing;  abrupt and periodic variation;  wavelet analysis;  weather characteristics
分类号:
P458.1
DOI:
10.16089/j.cnki.1008-2786.000574
文献标志码:
A
摘要:
冰雹灾害是渝东南地区威胁最大的气象灾害之一,掌握渝东南地区冰雹时空分布及天气特征是人工防雹业务的迫切需要,对避免和减轻其灾害具有重要意义,对防灾减灾也有积极作用。本文利用《中国气象灾害大典:重庆卷》中1960—2011年渝东南地区造成灾害的冰雹资料以及2000—2011年的MICAPS资料,对渝东南地区降雹时空分布特征、降雹过程的天气特征进行统计对比分析,结果表明:2000—2011年期间渝东南地区的降雹频次较前40年明显增加,成为重庆市平均降雹发生频率次高的地区,且高频中心位于黔江区。Mann-Kendall分析结果显示1960—2011年前后渝东南地区冰雹日数发生了两次明显的突变。小波分析结果显示渝东南地区的降雹日数在 60～80年代初期有8 a左右的年际变化周期,80年代中期以后则是14 a左右的年际变化周期较为显著,降雹过程发生的偏多时期出现在1990年和2004年前后。从月际变化来看,4月和5月是该地区降雹日数出现最多的两个月份,7月和8月为次多的月份。春季冰雹主要由系统性的上升运动触发,夏季冰雹则主要由局地热力抬升运动造成。上述结论对促进渝东南地区掌握降雹规律、科学防雹、减轻灾害具有重要的理论及现实意义。
Abstract:
Hail disaster is one of the most threatening meteorological disasters in southeast Chongqing, China. It is an urgent need to interpret the spatial and temporal distribution of hail disasters as well as the associated weather process for the purpose of hail prevention in southeast Chongqing,which is of great significance to avoid and reduce its disasters and plays a positive role in disaster prevention and mitigation. In this study, it performed statistically examination on the spatial and temporal distribution characteristics of hailfalls with the associated meteorological features of hailfall process in southeastern Chongqing by using the hailfall records of 1960—2011 and MICAP data of 2000-2011, which were extracted from China meteorologicd disaster: Chongqing volume and Natural Disaster Report from 1960 to 2011. The results showed that the frequency of hailfall in southeastern Chongqing increased significantly from 2000 to 2011 as compared with the previous 40 years, making it the place of the second highest average hailfall frequency in Chongqing, and its center of high frequency was located in Qianjiang District of Chongqing. By Mann-Kendall analysis, it found that there were two obvious abrupt changes in the number of hail days in southeastern Chongqing from 1960 to 2011. And by wavelet analysis, it found that the number of hail days in southeastern Chongqing had an interannual variation cycle of about 8 years in the early 1960 s to 1980 s, and an interdecadal variation cycle of about 14 years after the mid-1980 s was more remarkable. It occurred more hail events around 1990 and 2004. In terms of inter-monthly changes, April-May were the two months with the largest number of hail days in the region, and July-August is the second most. Spring hail was mainly triggered by systematic ascending movement of water vapor condition, while summer hail was mainly caused by local thermal uplifting. The above conclusions have very important theoretical and practical significance to promote the understanding of hailfall regulation, scientific hail prevention and disaster reduction in southeast Chongqing.

参考文献/References:

[1] 孙霞,俞海洋,孙斌,等. 河北省主要气象灾害时空变化的统计分析[J]. 干旱气象,2014,32(3):388-392.[SUN Xia, YU Haiyang, SUN Bin, et al. Statistical analysis of meteorological disasters in Hebei province[J].Journal of Arid Meteorology,2014,32(3):388-392] DOI:10.11755/j.issn.1006-7639(2014)-03-0388
[2] 李红梅,周秉荣,申红艳,等. 青海高原干旱时空分异特征及发生风险研究[J]. 山地学报, 2019,37(2):230-239. [LI Hongmei, ZHOU Bingrong, SHEN Hongyan,et al. Research on temporal and spatial differentiation and occurrence risks of drought in Qinghai, China[J].Mountain Research,2019,37(2):230-239]DOI:10.16089/j.cnki.1008-2786.000417
[3] 林志东,陈兴伟,林木生,等.东南沿海西溪流域暴雨洪水的时空变化特征[J]. 山地学报,2017,35(4):488-495.[LIN Zhidong, CHEN Xingwei, LIN Musheng,et al. Spatial and temporal variations of storm-floods in Xixi watershed of southeast coastal region[J].Mountain Research,2017,35(4):488-495] DOI:10.16089/j.cnki.1008-2786.000246
[4] 张芳华,高辉.中国冰雹日数的时空分布特征[J]. 南京气象学院学报,2008,31(5):687-693.[ZHANG Fanghua, GAO Hui.Temporal and spatial features of hail days in China[J].Journal of Nanjing Institute of Meteorology, 2008,31(5):687-693]DOI:10.3969/j.issn.1674-7097.2008.05.011
[5] 虎雅琼,边宇轩,黄梦宇,等. 基于灾情信息的1981-2017年北京地区降雹特征[J]. 应用气象学报, 2019,30(6):710-721.[HU Yaqiong, BIAN Yuxuan, HUANG Mengyu, et al.Characteristics of hailstone distribution based on disaster information in Beijing from 1981 to 2017[J]. Journal of Applied Meteorological Science, 2019,30(6):710-721] DOI:10.11898/1001-7313.20190607
[6] 赵文慧, 姚展予, 贾烁,等. 1961～2015年中国地区冰雹持续时间的时空分布特征及影响因子研究[J]. 大气科学, 2019,43(3):539-551.[ZHAO Wenhui, YAO Zhanyu, JIA Shuo, et al. Characteristics of spatial and temporal distribution of hail duration in China during 1961-2015 and its possible influence factors [J]. Chinese Journal of Atmospheric Sciences, 2019,43(3):539-551] DOI:10.3878/j.issn.1006-9895.1808.18123
[7] 杨淑群, 邱予声. 四川省冰雹的时空变化特征[J]. 西南大学学报(自然科学版), 2012,34(11):63-68.[YANG Shuqun, QIU Yusheng. The characteristics of temporal and spatial variation of hailstone in Sichuan[J].Journal of Southwest University(Natural Science Edition),2012,34(11):63-68] DOI:10.13718/j.cnki.xdzk.2012.11.006
[8] BERTHET C,DESSENS J,SANCHEZ J L. Regional and yearly variations of hail frequency and intensity in France[J].Atmospheric Research,2011(100):391-400.DOI:10.1016/j.atmosres.2010.10.008
[9] SUWALA K,BEDNORZ E. Climatology of hail in central Europe[J].QuaestionesGeographicae,2013,32(3):99-110.DOI:10.2478/quageo-2013-0025
[10] JELIC D, MEGYERI O A, MALECIC B, et al. Hail climatology along the northeastern Adriatic[J]. Journal of Geophysical Research: Atmospheres, 2020, 125(23):e2020JD032749.DOI:10.1029/2020JD032749
[11] PUCIK T, CASTELLANO C, GROENEMEIJER P, et al. Large hail incidence and its economic and societal impacts across Europe[J]. Monthly Weather Review, 2019,147(11):3901-3916.DOI: 10.1175/MWR-D-19-0204.1
[12] 赵文慧, 姚展予, 贾烁, 等. 1961～2015年中国地区冰雹持续时间的时空分布特征及影响因子研究[J]. 大气科学,2019,43(3):539-551.[ZHAO Wenhui, YAO Zhanyu, JIAShuo, et al. Characteristics of spatial and temporal distribution of hail duration in China during 1961-2015 and its possible influence factors[J]. Chinese Journal of Atmospheric Sciences, 2019,43(3):539-551] DOI:10.3878/j.issn.1006-9895.1808.18123
[13] 苏永玲, 何立富, 巩远发,等. 京津冀地区强对流时空分布与天气学特征分析[J]. 气象, 2011,37(2):177-184. [SU Yongling, HE Lifu, GONG Yuanfa, et al. A study of temporal—spatial distribution and synoptic characteristics of severe convective weather in Beijing, Tianjin and Hebei[J]. Meteorological Monthly, 37(2):177-184] DOI:10.7519/j.issn.1000-0526.2011.2.007
[14] 顾光芹,史印山,池俊成,等. 河北省冰雹气候特征及其与环流异常的关系[J]. 高原气象, 2011,30(4):1132-1138.[GU Guangqin, SHI Yinshan, CHI Juncheng, et al. Climatic characteristic of hail in Hebei and its relation to circulation anomaly[J]. Plateau Meteorology,2011,30(4):1132-1138]
[15] 廖向花,林娜,李轲,等. 利用多普勒雷达产品识别重庆冰雹云指标分析[J]. 西南大学学报(自然科学版), 2011,33(11):131-135.[LIAO Xianghua, LIN Na, LI Ke, et al. Analysis of characteristic indexes for hail cloud identification in Chongqing by means of Doppler radar products[J].Journal of Southwest University(Natural Science Edition), 2011,33(11):131-135]
[16] 潘佳文, 魏鸣, 郭丽君,等. 闽南地区大冰雹超级单体演变的双偏振特征分析[J]. 气象, 2020, 46(12):1608-1620.[PAN Jiawen, WEI Ming, GUO Lijun, et al. Dual-polarization radar characteristic analysis of the evolution of heavy hail supercell in southern Fujian[J].Meteorological Monthly, 2020, 46(12):1608-1620] DOI:0.7519/j.issn.1000-0526.2020.12.008
[17] 何炳文,胡振菊,高伟,等. 湘西北地区强冰雹的多普勒天气雷达旁瓣回波统计分析[J]. 暴雨灾害, 2020,39(3):269-275.[HE Bingwen, HU Zhenju, GAO Wei, et al. Statistical analysis of Doppler weather radar side-lobe echo for severe hail in northwest Hunan area[J].TorrentialRain and Disasters. 2020,39(3):269-275] DOI:10.3969/j.issn.1004-9045.2020.03.007
[18] 杨贵名,马学款,宗志平.华北地区降雹时空分布特征[J].气象, 2003,29(8):31-34. [YANG Guiming, MA Xuekuan, ZONG Zhiping. Characteristics of hailfall in north China[J].Meteorological Monthly,2003,29(8):31-34] DOI:10.7519/j.issn.1000-0526.2003.8.007
[19] 张琳娜,郭锐,何娜,等.北京地区冰雹天气特征[J].气象科技, 2013,41(1):114-120.[ZHANG Linna, GUO Rui, HE Na, et al. Characteristic analysis of a hail event in Beijing[J]. Meteorological Science and Technology, 2013,41(1):114-120] DOI:10.3969/j.issn.1671-6345.2013.01.022
[20] 王若升,张彤,樊晓春,等.甘肃平凉地区冰雹天气的气候特征和雷达回波分析[J].干旱气象,2013,31(2):373-377.[WANG Ruosheng, ZHANG Tong, FAN Xiaochun, et al. Analysis of the climate features and radar echo of the hail weather in Pingliang of Gansu province[J].Journal of Arid Meteorology, 2013,31(2):373-377] DOI:10.11755/j.issn.1006-7639(2013)-02-0373
[21] 温克刚,马力. 中国气象灾害大典:重庆卷[M]. 北京:气象出版社, 2008:162-182.[WEN Kegang, MA Li. China meteorological disaster: Chongqing volume[M]. Beijing: China Meteorological Press, 2008:162-182]
[22] 魏凤英. 现代气候统计诊断与预测技术(第二版)[M].北京:气象出版社, 2007:63-66.[WEI Fengying. Statistical diagnosis and prediction technology for modern climate(second edition)[M].Beijing: China Meteorological Press, 2007:63-66]
[23] 洪梅, 刘科峰, 张栋,等. 基于交叉小波分析方法的西太平洋副热带高压年际变率与热带海温及大气环流异常的相关性研究[J]. 热带气象学报, 2020,36(2):166-179.[HONG Mei, LIU Kefeng, ZHANG Dong, et al. The correlation of the western pacific subtropical high interannual variability with tropical SST and atmospheric circulation anomalies based on the cross-wavelet analysis[J].Journal of Tropical Meteorology,2020,36(2):166-179] DOI: 10.16032/j.issn.1004-4965.2020.017
[24] 施能. 北半球冬季大气环流遥相关的长期变化及其与我国气候变化的关系[J].气象学报,1996,54(6):675-683. [SHI Neng. Secular variation of winter atmospheric teleconnection pattern in the northern hemisphere and its relation with China's climate change[J].Acta Meteorologica Sinica, 1996,54(6):675-683] DOI:10.11676/qxxb1996.070

备注/Memo

备注/Memo:
收稿日期(Received date):2018-09-24; 改回日期(Accepted date):2020-09-11
基金项目(Foundation item):重庆市气象局2018年智慧气象技术创新团队项目(ZHCXTD-201822)。[Intelligent Meteorological Technology Innovation Team Project of Chongqing Meteorological Bureau in 2018(ZHCXTD-201822)]
作者简介(Biography):张甜(1982-),女,重庆人,硕士,主要研究方向:气象为农服务、气象防灾减灾。[ZHANG Tian(1982-),female, born in Chongqing, M.Sc.research on meteorological services for agriculture, meteorological disaster prevention and mitigation]E-mail:43046468@qq.com
*通讯作者(Corresponding author):廖晓荔(1981-),女,广西桂林人,硕士,主要研究方向:气象防灾减灾、人工影响天气。[LIAO Xiaoli(1981-),female, born in Guangxi, M.Sc.research onmeteorological disaster prevention and mitigation,artificial weather, modification]E-mail:360418906@qq.com
更新日期/Last Update: 2021-01-30