[1]张庆奎,项阳,吉振明,等.近55年安徽省结冰现象气候特征及趋势分析[J].自然灾害学报,2020,29(06):218-226.[doi:10.13577/j.jnd.2020.0623]
 ZHANG Qingkui,XIANG Yang,JI Zhenming,et al.Analysis of climatic characteristics and trends for icing weather phenomenon in Anhui Province in recent 55 years[J].,2020,29(06):218-226.[doi:10.13577/j.jnd.2020.0623]
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近55年安徽省结冰现象气候特征及趋势分析
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
29
期数:
2020年06期
页码:
218-226
栏目:
出版日期:
2020-12-28

文章信息/Info

Title:
Analysis of climatic characteristics and trends for icing weather phenomenon in Anhui Province in recent 55 years
作者:
张庆奎1 项阳1 吉振明2 孙良宵3
1. 安徽省阜阳市气象局, 安徽 阜阳 236000;
2. 中山大学 大气科学学院, 广东 广州 510275;
3. 江苏省气候中心, 江苏 南京 210008
Author(s):
ZHANG Qingkui1 XIANG Yang1 JI Zhenming2 SUN Liangxiao3
1. Fuyang Meteorological Bureau of Anhui, Fuyang 236000, China;
2. School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China;
3. Climate Center of Jiangsu Province, Nanjing 210008, China
关键词:
结冰现象气候特征变化趋势
Keywords:
icing weather phenomenonclimatic characteristicschange trend
分类号:
X43
DOI:
10.13577/j.jnd.2020.0623
摘要:
利用安徽省56个国家级气象观测站1961~2016年逐日结冰现象和最低气温观测资料及台站基本信息,统计分析了近55 a安徽省结冰现象的空间分布特征和时间变化趋势,并分别讨论了结冰现象与纬度、海拔及最低气温的相关性。研究结果表明:在空间分布上,安徽省结冰现象的分布具有较明显的地域性特征,结冰日数和结冰期总体呈现出由北向南逐渐减少的特征,由于受山脉影响,高海拔地区又呈现出不同程度的增多;结冰初日淮北北部和江南高海拔山区最早,江淮之间南部到江南地区最晚,结冰终日分布与之相反;结冰现象的空间分布与纬度和海拔存在明显的正向相关关系,与纬度和海拔相关系数的绝对值分别超过0.5和0.8。在时间变化方面,安徽省结冰现象主要发生在11月至次年3月,集中发生在12月至次年2月;近55a结冰现象呈现出明显的变化趋势,具体表现为结冰日和结冰期均出现减少,结冰初日及结冰终日则表现为推迟和提前,由南向北结冰现象变化趋势总体一致,但也存在一定的区域差异;突变检测显示结冰日、结冰期、结冰初日和结冰终日存在突变情况,突变时间分别为1988、1994、2000和1991年;结冰现象的分布和变化与最低气温有着显著负向相关关系,其相关系数绝对值均达到0.7以上;伴随着最低气温的升高,各月结冰日均呈现出减少趋势,且结冰日的月分布存在逐渐向1月和12月相对集中的趋势。
Abstract:
Using the daily icing weather phenomenon, the minimum temperature observation data and basic information of 56 national meteorological observatories, the spatial distribution and temporal trends of icing weather phenomenon in Anhui Province in the past 55 years(from 1961 to 2016) were statistically analyzed. The correlations between icing weather phenomenon and latitude, altitude and the minimum temperature were discussed separately. The results showed that the icing weather phenomenon in Anhui Province has obvious regional characteristics in spatial distribution. The number of icing days and the icing period generally showed a gradual decrease from north to south, but a significant increase occurred in high altitude areas due to the mountains in the parts of the south of Yangtze River. The first date of icing occurs the earliest in the northern part of Huaibei and the high-altitude mountainous area in the south of the Yangtze River, but the latest between the south of the Yangtze River and the Huaihe River to the Jiangnan area. However, the distribution of the last date of icing is opposite. There is a clear correlation between the spatial distribution of icing, latitude and altitude, and the absolute values of the correlation coefficient are more than 0.5 and 0.8. In term of time changes, the phenomenon of icing in Anhui Province mainly occurred from November to March of the following year, and concentrated in December to February of the following year. The phenomenon of icing in the past 55a showed a clear trend that both the number of icing days and the icing period decreased, and the first date of icing and the last date of icing were delayed and advanced respectively. The trend of the icing weather phenomenon from south to north is generally consistent, but there are also certain regional differences. The results showed that there were mutations in the number of icing days, icing period, the first date of icing and the last date of icing. The mutation time was 1988, 1994, 2000 and 1991 respectively. The distribution and change of icing weather phenomenon are also significantly correlated with the minimum temperature with the absolute values of correlation coefficient above 0.7. With the increase of the minimum temperature, the number of icing days per month shows a decreasing trend, and the monthly distribution of icing days gradually concentrate towards January and December.

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备注/Memo

备注/Memo:
收稿日期:2020-04-16;改回日期:2020-06-16。
基金项目:中国气象局预报员专项(CMAYBY2019-052);安徽省气象局预报员专项资助(KY201603,KY201806)
作者简介:张庆奎(1980-),男,高级工程师,硕士,从事天气气候统计与分析.E-mail:zhangqk1981@qq.com
通讯作者:项阳(1962-),女,高级工程师,学士,主要从事天气、气侯变化与应用气象研究.E-mail:miemiepang@163.com
更新日期/Last Update: 1900-01-01