天津地区低能见度时空特征及其在高速公路气象服务中的应用

doi:10.3969/j.issn.1673-503X.2023.03.009

Abstract

Abstract:

Based on the visibility and precipitation observation data from traffic automatic weather stations, national ground meteorological observation stations, and some regional automatic weather stations in Tianjin from 2017 to 2020, the spatial-temporal variation characteristics of low visibility which has a great impact on expressway traffic safety and their relationships with precipitation were analyzed.The risk level of low visibility and corresponding key service period of each expressway were provided.The results show that the number of low visibility days in Tianjin has an annual mean value of 22.1 days and indicates an obvious spatial variability with the highest value in the north, followed by the west and south, and the least in the east.Low visibility is mostly concentrated from September to February of the next year, and the frequency is higher in nighttime than in daytime, usually reaching the maximum around 06:00.Summer precipitation has a significant impact on low visibility, and low visibility affected by precipitation accounts for about 47.1% of the total from July to August, and mainly occurs during 13:00-15:00 and 19:00-08:00.The expressways with higher risk of the low visibility account for about 57.1% of all.There are also significant differences in the concerned sections and key service periods among different expressways.

Key words: Low visibility, Precipitation, Expressway

CLC Number:

P427.2

Li-yuan REN,Ming-ming XIONG,Mei-ling SUN,Xue-jiao WANG. Spatial-temporal characteristics of low visibility in Tianjin and its application in expressway meteorological service[J]. Journal of Meteorology and Environment, 2023, 39(3): 72-78.

Figures/Tables 7

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Table 1

References 32

1	刘爱霞, 韩素芹, 蔡子颖, 等. 天津地区能见度变化特征及影响因素研究[J]. 生态环境学报, 2012, (11): 1847- 1850.
2	宋薇, 邱晓滨. 天津地区大气能见度变化特征及影响因子[J]. 气象科技, 2015, 43 (5): 898- 904.
3	Doyle M , Dorling S . Visibility trends in the UK 1950-1997[J]. Atmospheric Environment, 2002, 36 (19): 3161- 3172. doi: 10.1016/S1352-2310(02)00248-0
4	范引琪, 李二杰, 范增禄. 河北省1960—2002年间城市大气能见度的变化趋势[J]. 大气科学, 2005, 29 (4): 526- 535.
5	吴兑, 邓雪娇, 毕雪岩, 等. 细粒子污染形成灰霾天气导致广州地区能见度下降[J]. 热带气象学报, 2007, 23 (1): 1- 6.
6	刘宁微, 马雁军, 王扬锋. 辽宁中部城市群夏季大气能见度的观测研究[J]. 气象学报, 2012, 70 (4): 814- 820.
7	郑小波, 王学锋, 罗宇翔, 等. 云贵高原1961—2006年大气能见度和消光因素变化趋势及原因[J]. 生态环境学报, 2010, 19 (2): 314- 320.
8	沈家芬, 冯建军, 谢利, 等. 广州市大气能见度的特征及其影响因子分析[J]. 生态环境学报, 2007, 6 (4): 1199- 1205.
9	康延臻, 王式功, 杨旭, 等. 高速公路交通气象监测预报服务研究进展[J]. 干旱气象, 2016, 34 (4): 591- 603.
10	张晓美, 吕明辉, 王毅, 等. 我国公路交通气象灾害风险隐患特征分析[J]. 灾害学, 2019, (4): 19- 24.
11	王洁, 曲晓黎, 张金满. 河北高速公路交通事故特征及其气象预警模型[J]. 干旱气象, 2020, 38 (2): 339- 345.
12	张娣, 曲晓黎, 张金满, 等. 河北省高速公路秋冬季浓雾特征及预报[J]. 干旱气象, 2017, 35 (1): 51- 56.
13	白永清, 何明琼, 刘静, 等. 高速公路交通事故与气象条件的关系研究[J]. 气象与环境科学, 2015, 38 (2): 66- 71.
14	李蔼恂, 吴昊, 柳艳香, 等. 我国公路低能见度灾害风险评估与区划研究[J]. 气象, 2018, 44 (5): 82- 89.
15	丁国香, 刘承晓, 周建平, 等. 气象条件对安徽高速公路运营的影响[J]. 干旱气象, 2018, 36 (5): 146- 151.
16	夏敏洁, 曹杰, 周文君. 气象条件与南京地区道路交通事故量的分析[J]. 气象科学, 2014, 34 (3): 305- 309.
17	姜江, 郭文利, 王春玲. 2007—2015年北京地区能见度时空变化特征[J]. 气象与环境学报, 2019, 35 (1): 47- 54.
18	吴丹, 柳泉, 范俊红, 等. 2016—2017年河北省高速公路沿线低能见度变化特征[J]. 干旱气象, 2019, 37 (4): 639- 647.
19	付桂琴, 张迎新, 张庆红, 等. 河北省低能见度事件特征分析[J]. 气象, 2013, 39 (8): 1042- 1049.
20	陈静, 吴兑, 刘啟汉, 等. 广州地区低能见度事件变化特征分析[J]. 热带气象学报, 2010, 26 (2): 156- 164.
21	孔锋, 王一飞, 方佳毅, 等. 1957—2015年中国低能见度日数时空变化特征[J]. 干旱区研究, 2017, 34 (6): 1203- 1213.
22	龙凤翔, 张瑀琳. 桂林城区大气能见度与颗粒物浓度和气象因子关系研究[J]. 气象与环境学报, 2020, 36 (1): 21- 27.
23	张艺萌, 李晓岚, 张宏升, 等. 2020年春季中国北方一次扬沙天气过程不赞同气象学与沙尘[J]. 气象与环境学报, 2022, 38 (4): 19- 26.
24	史珺, 赵玉洁. 天津东丽区一次持续性雾霾天气过程的特征及影响要素分析[J]. 气象与环境学报, 2021, 37 (5): 8- 12.
25	刘西川, 高太长, 刘磊, 等. 降水现象对大气消光系数和能见度的影响[J]. 应用气象学报, 2010, 21 (4): 433- 441.
26	孙玫玲, 任丽媛, 王宏蕊, 等. 天津高速公路交通气象灾害及预报预警技术研究与分析[J]. 天津科技, 2019, 46 (8): 81- 84.
27	卞光辉, 袁成松, 周曾奎, 等. QX/T 111-2010, 高速公路交通气象条件等级[S]. 北京: 气象出版社, 2010.
28	熊明明, 徐姝, 李明财, 等. 天津地区小时降水特征分析[J]. 暴雨灾害, 2016, 35 (1): 84- 90.
29	Yu R , Xu Y , Zhou T.J , et al. Relation between rainfall duration and diurnal variation in the warm season precipitation over central eastern China[J]. Geophysical Research Letters, vol.34, L13703. doi: 10.1029/2007GL030315,2007
30	戴泽军, 宇如聪, 陈昊明. 湖南夏季降水日变化特征[J]. 高原气象, 2009, 28 (6): 1463- 1470.
31	李明财, 段丽瑶, 杨艳娟, 等. 天津市夏季降水日变化特征[J]. 气象与环境学报, 2009, 25 (6): 11- 14.
32	李建, 宇如聪, 王建捷. 北京市夏季降水的日变化特征[J]. 科学通报, 2008, 3 (7): 829- 832.

高速公路	最高等级	重点关注路段	服务关键期	服务关键时段
津蓟高速	极高风险	蓟州、宝坻段	8月	19时至翌日08时、13—15时
京哈高速	极高风险	宝坻段	8月、10月	19时至翌日09时、13—15时
塘承高速	极高风险	蓟州、宝坻段	8月、10月	19时至翌日09时、13—15时
京秦高速	高风险	蓟州段	8月	19时至翌日08时、13—15时
京津高速	较高风险	武清段	10—11月	22时至翌日09时
京津塘高速	较高风险	武清段	10—11月	22时至翌日09时
滨保高速	较高风险	武清段	11月	22时至翌日09时
津雄高速	较高风险	武清、北辰段	1月、10月	22时至翌日09时
京沪高速	较高风险	武清、静海段	9—11月、1—2月	22时至翌日09时
津沧高速	较高风险	静海段	1—2月、9—10月、12月	22时至翌日09时
滨石高速	较高风险	静海段	6月	10—12时、16—23时
荣乌高速	较高风险	静海、滨海新区南段	6—7月	19时至翌日08时、10—15时

[1]	Xiao-tong ZHU,Kai YAO,Shang-feng LI,Mei-hui QU. Application of the SAL method to test the precipitation forecast of typhoons in Northeast China [J]. Journal of Meteorology and Environment, 2023, 39(3): 31-39.
[2]	KANG Heng-yuan, LIU Yu-lian, YUAN Fang, ZHOU He-ling. Analysis of city effect of precipitation in Harbin based on the backbone station network [J]. Journal of Meteorology and Environment, 2023, 39(3): 79-86.
[3]	YANG Ruo-zi, XUAN Chun-yi, WANG Ji, DU Wu-peng, WANG Hua. Study on precipitation characteristics of Beijing municipal administrative center suitable for sponge city planning and construction [J]. Journal of Meteorology and Environment, 2023, 39(3): 154-160.
[4]	Juan SHI, Xian-ling JIANG, Yuan-hui KE, Yan ZHENG. Characteristics and causes of short-duration extreme rainfall in Hainan Island from 2012 to 2021 [J]. Journal of Meteorology and Environment, 2023, 39(2): 62-70.
[5]	Zheng-hua TAN, Zhong-yan LU, Hai-feng LIN, An-qi NIE, Fang-da TENG. Verification for precipitation forecasted by NWP models in Liaoning province during the summer of 2020 [J]. Journal of Meteorology and Environment, 2023, 39(1): 10-16.
[6]	Zhen-fei TANG,Ting YANG,Xiao-chen CHEN,Xin-xin LI,Xin LIN,Fen HE,Zhen-zhi WEN. Simulation and prediction of future extreme precipitation in Fujian province under SSPs scenarios [J]. Journal of Meteorology and Environment, 2023, 39(1): 26-36.
[7]	Mei-hui QU,Wen-gang ZHU,Shu-hong ZHAO,Xiao-tong ZHU,Gang TU,Zong-ting GAO. Influence of conventional observation assimilation on numerical prediction of a short-time heavy precipitation process in Jilin province [J]. Journal of Meteorology and Environment, 2022, 38(6): 10-19.
[8]	Hui-hui QU, Dong-dong WANG, Min-hui YAN, Mo ZHAI, Dan LIU, Ping YAN, Xiao-ming WANG, Li-xia JIANG. The evolution characteristics of coupling degree between maize water need and effective precipitation in Heilongjiang province [J]. Journal of Meteorology and Environment, 2022, 38(5): 81-87.
[9]	Yun-xia DUAN, De-qin LI, Yong-ming JI, Wei-long BAN, Yu-tong WU, Xiao-ou LI. Analysis of strong precipitation in the urban area of Shenyang under the Northeast Cold Vortex background [J]. Journal of Meteorology and Environment, 2022, 38(4): 1-10.
[10]	Yue YU, Ming-lin BI, Qi YAN, Hai-feng LIN, Dong-lei FENG, Fan-yue YU. Cause analysis and spatial test of multi-mode numerical prediction on regional rainstorms in Liaoning province [J]. Journal of Meteorology and Environment, 2022, 38(4): 11-18.
[11]	Qing-fei ZHAI, Feng-hua SUN, Xue AO, Shu-jiang GENG, Cheng-long LI, Yao LI, Ming-yu LI. Evaluation and projection of temperature and precipitation change in the Liaohe River Basin based on BCC-CSM2-MR model CMIP6 test [J]. Journal of Meteorology and Environment, 2022, 38(4): 27-36.
[12]	Dong-dong WANG, Li SUN, Lei YANG, Li-du SHEN, Shu WANG, Yu CHEN. Multi-model comparison and evaluation of forecast statistics and spatial verification for different precipitation types caused by Typhoon Bavi [J]. Journal of Meteorology and Environment, 2022, 38(4): 37-46.
[13]	Shan JIANG,Hai-xu ZHANG,Jing ZHANG,Xiao-wei SONG,Shi LI,Lu YU,Xin-xiu WANG. Spatiotemporal characteristics of heat and rainfall resources during the growth period of spring maize in Shenyang from 1981 to 2020 [J]. Journal of Meteorology and Environment, 2022, 38(4): 76-84.
[14]	Mei LIU,Xing-jie JI,Li TIAN,Ya-lei DING,Xuan ZUO. Analysis of variation characteristics of atmospheric self-purification capability in the main urban area of Zhengzhou from 1961 to 2020 [J]. Journal of Meteorology and Environment, 2022, 38(3): 93-100.
[15]	Hui-meng BAO,Da-feng GUO,Wei LI. Correction tests of ECMWF modeling quantitative precipitation using frequency matching method in Jiangxi provice [J]. Journal of Meteorology and Environment, 2022, 38(2): 12-20.

Spatial-temporal characteristics of low visibility in Tianjin and its application in expressway meteorological service

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 32

Related Articles 15

Metrics

Comments

Recommended 10