乌鲁木齐冬季焚风天气过程大气扩散条件特征分析

doi:10.12118/j.issn.1000–6060.2021.06.03

干旱区地理 ›› 2021, Vol. 44 ›› Issue (6): 1534-1544.doi: 10.12118/j.issn.1000–6060.2021.06.03

乌鲁木齐冬季焚风天气过程大气扩散条件特征分析

赵克明¹(),李娜¹,李霞²(),孙鸣婧¹,施俊杰¹,安大维¹,蒲洁³,郑博华⁴

1. 新疆气象台,新疆乌鲁木齐 830002
2. 中国气象局乌鲁木齐沙漠气象研究所,新疆乌鲁木齐 830002
3. 乌鲁木齐市气象局,新疆乌鲁木齐 830002
4. 新疆维吾尔自治区人工影响天气办公室,新疆乌鲁木齐 830002

收稿日期:2020-12-31 修回日期:2021-06-09 出版日期:2021-11-25 发布日期:2021-12-03
通讯作者: 李霞
作者简介:赵克明（1983-）,男,高级工程师,主要从事天气预报、环境气象预报和研究. E-mail: zhaokeming_1983@163.com
基金资助:
中亚大气科学研究基金(CAAS201805);新疆维吾尔自治区自然基金面上项目(2020D01A99);中央级公益性科研院所基本科研业务费专项资金项目(IDM2020001);国家自然科学基金(41575011)

Characteristic analysis of atmospheric diffusion conditions of winter foehn weather process in Urumqi City

ZHAO Keming¹(),LI Na¹,LI Xia²(),SUN Mingjing¹,SHI Junjie¹,AN Dawei¹,PU Jie³,ZHENG Bohua⁴

1. Xinjiang Meteorological Observatory, Urumqi 830002, Xinjiang, China
2. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, Xinjiang, China
3. Urumqi Meteorological Bureau, Urumqi 830002, Xinjiang, China
4. Weather Modification Office of Xinjiang Uygur Autonomous Region, Urumqi 830002, Xinjiang, China

Received:2020-12-31 Revised:2021-06-09 Online:2021-11-25 Published:2021-12-03
Contact: Xia LI

摘要/Abstract

摘要：

利用逐时地面气象数据、探空秒级数据及风廓线雷达数据分析了2013—2017年乌鲁木齐低空焚风演变时边界层和近地层气象扩散条件的变化特征。结果表明：（1）乌鲁木齐大气扩散条件总体呈现夏季最有利,冬季最差（最大混合层厚度0.44×10³ m、通风系数1.52×10³ m²·s^-1、逆温层厚度768 m、逆温层温差4.82 ℃、静稳指数6.36）,且冬季12月与1月极不利于污染物扩散。（2）冬季低空焚风演变的5个阶段,大气混合层厚度、通风系数呈减小—增大特征,焚风强盛期混合层厚度最低（0.30×10³ m）、通风系数最小（0.62×10³ m²·s^-1）;逆温层厚度及强度、静稳指数变化趋势为增大—减小特征,强盛期逆温最强（10.9 ℃）、逆温层厚度（0.99×10³ m）、静稳指数最大（9.7）。（3）低空焚风过程的发展期和强盛期各站气压减小,高海拔站点气温升高、风速增大,焚风层以下低海拔区域气温降低、风速减小,说明焚风使得焚风层以下区域的大气更加稳定,不利于污染物扩散。（4）总体上焚风致使水平扩散能力和垂直交换能力减弱,大气易凝结,结束后扩散条件重建。业务中可利用焚风发展趋势预判边界层扩散条件及地面气象要素的演变,为乌鲁木齐城市群空气污染预报和污染治理提供参考依据。

关键词: 低空焚风, 边界层扩散条件, 气象要素, 乌鲁木齐

Abstract:

On the basis of hourly surface meteorological data, radiosonde second-level data, and wind profile radar data collected from 2013 to 2017, the low-level foehn wind and its evolution characteristics in Urumqi City, Xinjiang, China, were identified. According to various calculation parameters and methods in the boundary layer, including mixed layer thickness, inversion layer thickness, ventilation coefficient, and static stability index, the variation of the boundary-layer diffusion conditions in Urumqi City during the evolution of low-level foehn wind were analyzed. The results demonstrated that the atmospheric diffusion conditions in Urumqi City have been most favorable in summer and worst in winter (maximum thickness of the mixed layer=0.44×10³ m; ventilation coefficient=1.52×10³ m²·s^-1; inversion layer thickness=768 m; temperature difference of the inversion layer=4.82 ℃; static stability index=6.36), and December and January were extremely unfavorable in terms of pollutant diffusion. In the five stages of low-level foehn evolution, the thickness of the atmospheric mixing layer and the ventilation coefficient first increased and then decreased, and the value has been the lowest in the vigorous period of foehn development. The thickness, strength, and static stability index of the inversion layer were opposite, and the maximum value occurred in the vigorous period. The air pressure at each station also decreased during the development and the prosperous period of the foehn weather process. The temperature and wind speed of the high-altitude station at the bottom of the foehn increased, whereas those of the low-altitude station decreased, indicating that the foehn made the lower atmosphere more stable and was not conducive to the diffusion of pollutants. Generally, horizontal diffusion capacity and vertical exchange capacity are weakened by foehn, and the atmosphere is easy to condense. For future operations, the foehn development trend can be used to predict diffusion conditions, providing a reference for the air pollution forecast and the control of urban agglomeration in Urumqi City.

Key words: low-altitude foehn, boundary layer diffusion conditions, meteorological elements, Urumqi City

赵克明,李娜,李霞,孙鸣婧,施俊杰,安大维,蒲洁,郑博华. 乌鲁木齐冬季焚风天气过程大气扩散条件特征分析[J]. 干旱区地理, 2021, 44(6): 1534-1544.

ZHAO Keming,LI Na,LI Xia,SUN Mingjing,SHI Junjie,AN Dawei,PU Jie,ZHENG Bohua. Characteristic analysis of atmospheric diffusion conditions of winter foehn weather process in Urumqi City[J]. Arid Land Geography, 2021, 44(6): 1534-1544.

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参考文献 30

[1]	李新琪, 海热提·涂尔逊. 乌鲁木齐市大气环境容载力及污染防治对策研究[J]. 干旱区资源与环境, 2001, 15(3):17-24.
	[ Li Xinqi, Tuerxun Haireti. Studies on the air environmental bearing capacities and the countermeasures of air pollution prevention and control in Urumqi[J]. Journal of Arid Land Resources and Environoment, 2001, 15(3):17-24. ]
[2]	李霞, 郭宇宏, 卢新玉, 等. 乌鲁木齐市大气污染治理成效的综合评估分析[J]. 中国环境科学, 2016, 36(1):307-313.
	[ Li Xia, Guo Yuhong, Lu Xinyu, et al. Evaluation and analysis on the effects of air pollution control in Urumqi[J]. China Environmental Science, 2016, 36(1):307-313. ]
[3]	张亮林, 潘竟虎, 张大弘. 基于MODIS数据的中国气溶胶光学厚度时空分布特征[J]. 环境科学学报, 2018, 38(11):4431-4439.
	[ Zhang Lianglin, Pan Jinghu, Zhang Dahong. Spatio-temporal distribution characteristics of aerosol optical depths in China based on MODIS data[J]. Acta Scientiae Circumstantiae, 2018, 38(11):4431-4439. ]
[4]	赵仕伟, 高晓清. 利用MODIS C6数据分析中国西北地区气溶胶光学厚度时空变化特征[J]. 环境科学, 2017, 38(7):2637-2646.
	[ Zhao Shiwei, Gao Xiaoqing. Analysis of spatio-temporal distribution and variation characteristics of aerosol optical depth over the northwest of China by MODIS C6 product[J]. Environmental Science, 2017, 38(7):2637-2646. ]
[5]	Zhang Q, Zheng Y, Tong D, et al. Drivers of improved PM_2.5 air quality in China from 2013 to 2017[J]. Proceedings of the National Academy of Sciences, 2019, 116(49):201907956, doi: 10.1073/pnas.1907956116. doi: 10.1073/pnas.1907956116
[6]	刘清, 杨永春, 刘海洋. 中国366个城市空气污染综合程度的时空演变特征分析[J]. 干旱区地理, 2020, 43(3):820-830.
	[ Liu Qing, Yang Yongchun, Liu Haiyang. Spatiotemporal evolution characteristics of air pollution degree in 366 cities of China[J]. Arid Land Geography, 2020, 43(3):820-830. ]
[7]	Li X, Xia X, Wang L, et al. The role of foehn in the formation of heavy air pollution events in Urumqi, China[J]. Journal of Geophysical Research Atmospheres, 2015, 120(11):5371-5384. doi: 10.1002/jgrd.v120.11
[8]	李霞. 峡口城市乌鲁木齐冬季重污染的机理研究[D]. 北京: 中国科学院大学, 2013.
	[ Li Xia. The research on formation mechanism of the severe air pollution in the gap town Urumqi in winter[D]. Bejing: University of Chinese Academy of Sciences, 2013. ]
[9]	Li X, Xia X, Zhong S, et al. Shallow foehn on the northern leeside of Tianshan Mountains and its influence on atmospheric boundary layer over Urumqi, China: A climatological study[J]. Atmospheric Research, 2020, 240:104940, doi: 10.1016/j.atmosres.2020.104940. doi: 10.1016/j.atmosres.2020.104940
[10]	张家宝, 苏启元, 孙沈清, 等. 新疆短期天气预报指导手册[M]. 乌鲁木齐: 新疆人民出版社, 1986: 319-214.
	[ Zhang Jiabao, Su Qiyuan, Sun Shenqing, et al. Xinjiang short-term weather forecast guide[M]. Urumqi: Xinjiang People’s Publishing House, 1986: 319-214. ]
[11]	孟齐辉. 天山地形对乌鲁木齐东南大风的再认识[J]. 新疆气象, 1996, 19(3):5-9.
	[ Meng Qihui. Recognition of the topography of Tianshan Mountains to the southeast gale of Urumqi[J]. Bimonthly of Xinjiang Meteorology, 1996, 19(3):5-9. ]
[12]	孟齐辉, 吕斌, 刁平. 乌鲁木齐地区东南大风分布规律的研究[J]. 新疆气象, 1995, 18(1):6-10.
	[ Meng Qihui, Lü Bin, Diao Ping. Research on the distribution law of southeast gale in Urumqi area[J]. Bimonthly of Xinjiang Meteorology, 1995, 18(1):6-10. ]
[13]	Vergeiner J, Mayr G. Case study of the MAP-IOP “sandwich” foehn on 18 ^th October 1999[J]. MAP Newsl, 2000, 13:36-37.
[14]	Vergeiner J. South foehn studies and a new foehn classification scheme in the Wipp and Inn valley[D]. Austria: University of Innsbruck, 2004.
[15]	李霞, 王磊, 任泉. 乌鲁木齐风廓线雷达探测能力评估[J]. 沙漠与绿洲气象, 2016, 10(1):9-18.
	[ Li Xia, Wang Lei, Ren Quan. Estimation of the detection ability of CFL-03 wind profile radar in Urumqi[J]. Desert and Oasis Meteorology, 2016, 10(1):9-18. ]
[16]	Bonner W. Climatology of the low level jet[J]. Monthly Weather Review, 1968, 96(12):833-850. doi: 10.1175/1520-0493(1968)096<0833:COTLLJ>2.0.CO;2
[17]	王式功, 姜大膀, 杨德保, 等. 兰州市区最大混合层厚度变化特征分析[J]. 高原气象, 2000, 19(3):363-369.
	[ Wang Shigong, Jiang Dabang, Yang Debao, et al. A study on characteristics of change of maximum mixing depths in Lanzhou[J]. Plateau Meteorology, 2000, 19(3):363-369. ]
[18]	刘增强, 郑玉萍, 李景林, 等. 乌鲁木齐市低空大气逆温特征分析[J]. 干旱区地理, 2007, 30(3):351-356.
	[ Liu Zengqiang, Zheng Yuping, Li Jinglin, et al. Temperature inversion characteristics of low-air atmosphere of Urumqi City[J]. Arid Land Geography, 2007, 30(3):351-356. ]
[19]	王德宣, 刘洋, 徐宁. 长春市大气SO₂时空分布与气象条件分析[J]. 地理科学, 1995, 15(3):289-294.
	[ Wang Dexuan, Liu Yang, Xu Ning. Atmospheric sulphur dioxide content change with time and place and analysis of meteorological condition in Changchun[J]. Scientia Geographica Sinica, 1995, 15(3):289-294. ]
[20]	Feng J, Quan J N, Liao H, et al. An air stagnation index to qualify extreme haze events in northern China[J]. Journal of the Atmospheric Sciences, 2018, 75(10):3489-3505. doi: 10.1175/JAS-D-17-0354.1
[21]	李振杰, 金莉莉, 何清, 等. 乌鲁木齐大气混合层厚度和稳定度与大气污染的关系[J]. 干旱区地理, 2019, 42(3):478-491.
	[ Li Zhenjie, Jin Lili, He Qing, et al. Characteristics of atmospheric mixing layer height and atmospheric stability in Urumqi region and their relationship with the atmospheric pollution[J]. Arid Land Geography, 2019, 42(3):478-491. ]
[22]	赵克明, 李霞, 杨静. 乌鲁木齐大气最大混合层厚度变化的环境响应[J]. 干旱区研究, 2011, 28(3):509-513.
	[ Zhao Keming, Li Xia, Yang Jing. Envirenmental response to variation of the atmospheric maximum mixing depth in Urumqi[J]. Arid Zone Research, 2011, 28(3):509-513. ]
[23]	廖国莲. 大气混合层厚度的计算方法及影响因子[J]. 中山大学研究生学刊, 2005, 26(4):66-73.
	[ Liao Guolian. Calculation methods and influence factors of the thickness of atmospheric mixed layer[J]. Journal of the Graduates Sun Yat-Sen University (Natural Sciences、Medicine), 2005, 26(4):66-73. ]
[24]	程水源, 张宝宁, 李现丽. 用清晨探空曲线确定混合层高度的研究[J]. 环境科学丛刊, 1992(3):78-82.
	[ Cheng Shuiyuan, Zhang Baoning, Li Xianli. Research on the determination of the height of the mixed layer with the early morning sounding curve[J]. Environmental Science Series, 1992(3):78-82. ]
[25]	杨勇杰, 谈建国, 郑有飞, 等. 上海市近15 a大气稳定度和混合层厚度的研究[J]. 气象科学, 2006, 26(5):536-541.
	[ Yang Yongjie, Tan Jianguo, Zheng Youfei, et al. Study on the atmospheric stabilities and the thickness of atmospheric mixed layer during recent 15 years in Shanghai[J]. Scientia Meteorologica Sinica, 2006, 26(5):536-541. ]
[26]	叶堤, 王飞, 陈德蓉. 重庆市多年大气混合层厚度变化特征及其对空气质量的影响分析[J]. 气象与环境学报, 2008, 24(4):41-44.
	[ Ye Di, Wang Fei, Chen Derong. Multi-yearly changes of atmospheric mixed layer thickness and its effect on air quality above Chongqing[J]. Journal of Meteorology and Environment, 2008, 24(4):41-44. ]
[27]	孟庆珍, 冯艺. 成都大气混合层厚度的计算和分析[J]. 成都信息工程学院学报, 1996(增刊1):73-81.
	[ Meng Qingzhen, Feng Yi. Calculation and analysis of the thickness of the mixed atmosphere in Chengdu[J]. Journal of Chengdu Institute of Meteorology, 1996(Suppl. 1):73-81. ]
[28]	李博, 王颖, 张稼轩, 等. 河谷城市通风系数研究[J]. 环境科学研究, 2018, 31(8):1382-1388.
	[ Li Bo, Wang Ying, Zhang Jiaxuan, et al. Ventilation coefficient in river valley terrain[J]. Research of Environmental Sciences, 2018, 31(8):1382-1388. ]
[29]	胡琳, 张侠, 苏静, 等, 陕西省霾天气变化特征及气候成因分析[J], 干旱区地理, 2019, 42(4):707-714.
	[ Hu Lin, Zhang Xia, Su Jing, et al. Variation characteristics of haze weather and its climatic causes in Shaanxi Province[J]. Arid Land Geography, 2019, 42(4):707-714. ]
[30]	赵克明. 焚风对乌鲁木齐冬季大气污染的影响探析[D]. 兰州: 兰州大学, 2016.
	[ Zhao Keming. Studies on the influence of foehn on air pollution over Urumqi in winter[D]. Lanzhou: Lanzhou University, 2016. ]

乌鲁木齐冬季焚风天气过程大气扩散条件特征分析

Characteristic analysis of atmospheric diffusion conditions of winter foehn weather process in Urumqi City

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