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

Abstract

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

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.

Figures/Tables 7

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

References 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. ]

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

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 30

Related Articles 15

Metrics

Comments

Recommended 0

[1]	PENG Ya, WANG Juanjuan, WANG Shanshan, TIAN Liulan, LIU Jie, WU Zhaopeng. Spatiotemporal pattern evolution of land use conflict in Urumqi City from the perspective of ecological security [J]. Arid Land Geography, 2024, 47(1): 81-92.
[2]	TIAN Liulan, WANG Shanshan, WU Zhaopeng. Construction of ecological security pattern in Urumqi based on multi-temporal remote sensing data [J]. Arid Land Geography, 2023, 46(7): 1155-1165.
[3]	LIANG Liang, GUO Xiaosong, CHEN Hanjie, XU Haofan, ZHOU Yanbo, XIE Shaowen, YANG Fen, WEI Chaoyang. Accumulation characteristics and ecological risks of heavy metals in green land soils in core urban area of Urumqi City [J]. Arid Land Geography, 2023, 46(11): 1868-1878.
[4]	SUI Lu, PU Chunling, LIU Zhiyou, BAI Pengfei, LIU Tao. Trade-off synergy of ecosystem service value in Urumqi City based on PLUS model [J]. Arid Land Geography, 2023, 46(1): 159-168.
[5]	LI Anbei,WAN Yu,ZHANG Jun,LI Ruqi,Mangsuer AIRETI,LI Na. Circulation classification and cause analysis of the snowstorm case in Urumqi City from 1961 to 2019 [J]. Arid Land Geography, 2022, 45(2): 379-388.
[6]	ZHAO Yongyu,Alimujiang KASIM,GAO Pengwen,LIANG Hongwu. Quantitative analysis of urban expansion and response factors in Urumqi City based on random forest algorithm and geographical detector [J]. Arid Land Geography, 2021, 44(6): 1729-1739.
[7]	MIAO Yunling,GONG Hengrui,WANG Jian,GE Yicheng,LI Ruqi. Diurnal variation characteristics of summer precipitation in Urumqi Cityfrom 2012 to 2019 [J]. Arid Land Geography, 2021, 44(5): 1222-1230.
[8]	XIAO Fengling,DU Hongru,ZHANG Xiaolei. Evaluation of spatial allocation of residential quarters and public service facilities based on the perspective of “15 minutes life circle”: A case study of Urumqi City [J]. Arid Land Geography, 2021, 44(2): 574-583.
[9]	WANG Yishan,ZHANG Fei,CHEN Rui,QI Yaxiao,LIU Changjiang. Comprehensive ecological security assessment: A case study of Urumqi City [J]. Arid Land Geography, 2021, 44(2): 427-440.
[10]	LI Zhen-jie, JIN Li-li, HE Qing, MIAO Qi-long, ALI Mamtimin. Characteristics of specific humidity distribution and profiles in Urumqi City and suburbs [J]. Arid Land Geography, 2020, 43(4): 977-996.
[11]	LI Zhen-jie, JIN Li-li, HE Qing, MIAO Qi-long, ALI Mamtimin. Characteristics of temperature distribution and profiles in Urumqi City and its suburb [J]. Arid Land Geography, 2019, 42(6): 1273-1281.
[12]	LIU Yushan, DONG Ye. Residential structure of Urumqi City based on index analysis method [J]. Arid Land Geography, 2019, 42(3): 698-705.
[13]	YAHEFU Palida, YANG Pengyu. Concentration characteristics of heavy metals in the atmospheric particles in Urumqi City in recent years [J]. Arid Land Geography, 2019, 42(3): 492-498.
[14]	GAO Yu-xiao, LIU Zhi-hui, WANG Jing-zhe. Correlation analysis of PM_2.5 concentration and MODIS aerosol optical depth in Urumqi City [J]. 干旱区地理, 2018, 41(2): 298-305.
[15]	QI Xiao-fan, LI Wen-peng, LI Hai-tao, LIU Hong-wei. Future climate change prediction of arid inland river basin based on CMIP5 model [J]. , 2017, 40(5): 987-996.