天山北坡绿洲城市车流量与对流层NO<sub>2</sub>垂直柱浓度关系研究

doi:10.3964/j.issn.1000-0593(2021)02-0345-09

摘要
参考文献
相关文章 (3)

全文: PDF (5712 KB)
输出: BibTeX | EndNote (RIS)

摘要：为探讨天山北坡河谷绿洲城市车流量与对流层NO₂垂直柱浓度（VCD）的关系，基于各城市车流量状况，利用地基多轴差分光谱仪（Mini MAX-DOAS）在2018年—2019年天山北坡经济带上的综合性大城市乌鲁木齐、工业型中等城市石河子和工业型小城市阜康市中心区连续固定监测，并沿城市交通主干道进行车载移动监测，研究车流量对NO₂VCD的影响，对比分析山盆体系河谷绿洲城市与中东部发达城市污染严重原因的差异。结果表明：（1）天山北坡大中小城市的车流量日均值大城市乌鲁木齐（1 406辆/5 min）远大于中小城市，中等城市石河子（203辆/5 min）和小城市阜康（185辆/5 min）差异并不显著（p＞0.05），而各类城市NO₂VCD整体差异显著（p＜0.05），其日变化峰值有所差异，表现为乌鲁木齐（22.613×10¹⁵ molec·cm^-2）＞阜康（17.758×10¹⁵ molec·cm^-2）＞石河子（15.272×10¹⁵ molec·cm^-2），三类城市的车流量和NO₂VCD的日变化趋势一致，都呈现出“早晚高，中午低”的变化趋势；季节变化中三类城市的车流量和NO₂VCD均为：冬春季＞秋夏季；（2）虽然早晚各监测点的车流量有所差异，但三类城市的车流都集中在市中心附近；移动监测数据表明，NO₂VCD高值出现在车流较高的市区，并且在各城市风向稳定时，下风向浓度大于上风向；由于居住空间差异，人们在城市各功能区间的活动，车辆流向和NO₂VCD都集中于人流密集的商业区，说明车辆对NO₂VCD具有较大贡献；（3）2009年—2019年10年间天山北坡大中小城市经济生产总值增长率在200%以上，乌鲁木齐、石河子机动车增长率超过北京、上海等发达城市，城市快速发展，并处于河谷绿洲地带，地势南高北低，冬季逆温层深厚，静风天数较多，采暖期长达6个月，造成冬季污染严重。天山北坡城市除人为污染排放外，自然因素对污染物形成聚集作用。

关键词：天山北坡；车流量；对流层NO₂垂直柱浓度；地基多轴差分光谱仪

Abstract：Inquiring into the northern region of Tianshan Mountain valley oasis, urban traffic and the link between tropospheric NO₂ vertical column density, Employing ground-based multi-axis difference spectrometer, (Mini MAX-DOAS) in 2018—2019, the north slope of Tianshan Mountains, economic belt comprehensive city Urumqi, Shihezi and in addition, medium-sized city, small continuous fixed monitoring Fukang city downtown area, carrying on the vehicle-mounted mobile monitoring on the city traffic trunk road, based on the urban traffic condition. Studying the influence of the tropospheric NO₂ vertical column density, and analysis of mountain valley oasis city with developed cities of middle basin system’s pollution differences. The results show that: (1) Medium cities of the north slope of Tianshan Mountain cities of daily mean value flow in Urumqi (1 406/5 min) greater than the small and medium-sized cities, medium-sized city Shihezi (203/5 min) and the small city Fukang (185/5 min), there is no significant difference (p>0.05), and all kinds of city NO₂VCD overall significant difference (p<0.05), the daily variation of the peak, Urumqi (22.613×10¹⁵ molec·cm^-2)>Fukang (17.758×10¹⁵ molec·cm^-2)>Shihezi (15.272×10¹⁵ molec·cm^-2). The daily variation trend of traffic flow and NO₂VCD in the three cities is consistent, showing a trend of “high in the morning and evening, low at noon”. In the seasonal variation, the traffic flow and NO₂VCD of the three types of cities are: winter and spring>autumn and summer; (2) Although the traffic flow at the monitoring points in the morning and evening is different, the traffic flow of the three types of cities is concentrated near the city center; The movement monitoring data show that the high NO₂VCD value occurs in urban areas with high traffic flow, and when the wind direction is stable in each city, the downwind concentration is greater than the upwind concentration. Due to the differences of living space, people’s activities in various functional areas of the city, traffic flow and NO₂VCD are concentrated in the commercial district with dense population, indicating that vehicles have a great contribution to NO₂VCD; (3)2009—2019, ten years north slope of Tianshan Mountain medium cities economic growth rate of GDP over 200%, Urumqi, Shihezi motor vehicle growth rate than developed cities such as Beijing, Shanghai, rapid urban development, and in the valley oasis area, low meteorological terrain north, the winter inversion layer, deep calm wind days more, heating period 6 months long, causing serious pollution in winter. In addition to the anthropogenic pollution discharge, natural factors contribute to the accumulation of pollutants in the north slope of Tianshan Mountain.

Key words：The north slope of Tianshan Mountain; Traffic flow; Troposphere NO₂ vertical column density; Ground-based MAX-DOAS(Multi-axis differential optical absorption spectroscopy)

收稿日期: 2020-07-17 修订日期: 2020-10-28

中图分类号:

X511

基金资助: 国家自然科学基金项目（41761007），新疆师范大学“十三五”校级重点学科应用经济学招标课题(17SDKD0401)，新疆师范大学硕士研究生科研创新基金项目（XSY202002009）资助

通讯作者: 李艳红 E-mail: lyh0704@126.com

作者简介: 赵晓蓉，女，1997年生，新疆师范大学地理科学与旅游学院硕士研究生 e-mail: 1010797670@qq.com

引用本文:

赵晓蓉，李艳红. 天山北坡绿洲城市车流量与对流层NO₂垂直柱浓度关系研究[J]. 光谱学与光谱分析, 2021, 41(02): 345-353.
ZHAO Xiao-rong, LI Yan-hong. Study on the Relationship Between Urban Traffic Flow and Tropospheric NO₂ Vertical Column Density in Oasis on the North Slope of Tianshan Mountain. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 345-353.

链接本文:

https://www.gpxygpfx.com/CN/10.3964/j.issn.1000-0593(2021)02-0345-09 或 https://www.gpxygpfx.com/CN/Y2021/V41/I02/345

[1] WANG Jing-fa, SONG Hui, BA Li-meng（汪晶发, 宋慧, 巴利萌）. Environmental Pollution and Control（环境污染与防治）, 2020, 42(6): 666.
[2] FENG Guo-qiang, LI Jing, WU Zhuo-er, et al（冯国强, 李菁, 武卓尔, 等）. China Population, Resources and Environment（中国人口·资源与环境）, 2020, 30(3): 93.
[3] Richter A, Begoin M, Hilboll A, et al. Atmospheric Measurement Techniques Discussions, 2011，4（19）：1147.
[4] Velders G J M, Granier C, Portmann R W, et al. Journal of Geophysical Research: Atmospheres, 2001, 106(D12)：12643.
[5] Lee Hanlim, Ryu Jaeyong, Jeong Ukkyo, et al. Bull. Korean Chem. Soc., 2014, 35(12): 3427.
[6] Kim D R, Lee J B, Song C K, et al. Atmospheric Pollution Research, 2015, 6(5)：768.
[7] ZHANG Wu-ting, ZHANG Xiu-ying, LIU lei, et al（章吴婷, 张秀英, 刘磊, 等）. Journal of Remote Sensing（遥感学报）, 2018, 22(2): 335.
[8] YAN Huan-huan, ZHANG Xing-ying, WANG Wei-he（闫欢欢, 张兴赢, 王维和）. Science and Technology Review（科技导报）, 2015, 33(17): 41.
[9] CHENG Yun-chu, WU Ying（程韵初, 吴莹）. Progress in Geophysics（地球物理学进展），2020，35（5）：1644.
[10] CUI Yuan-zheng, JIANG Lei, ZHANG Wei-shi, et al（崔远政, 姜磊, 张为师, 等）. Acta Scientiae Circumstantiae（环境科学学报）, 2019, 39(12): 4152.
[11] LI Su-wen, LIU Wen-qing, QIN Min, et al（李素文, 刘文清, 秦敏, 等）. Journal of Safety and Environment（安全与环境学报）, 2011, 11(1): 118.
[12] WANG Zhuo-ru, ZHOU Bin, WANG Shan-shan, et al（王焯如, 周斌, 王珊珊, 等）. Acta Physica Sinica（物理学报）, 2011, 60(6): 182.
[13] WU Zi-yang, XIE Pin-hua, XU Jin, et al（吴子扬, 谢品华, 徐晋, 等）. Spectroscopy and Spectral Analysis（光谱学与光谱分析）, 2020, 40(3): 720.
[14] TONG Ze-peng, LI Yan-hong, LIU Yan, et al（仝泽鹏, 李艳红, 刘岩, 等）. Environmental Pollution and Control（环境污染与防治）, 2018, 40(7): 812.
[15] WANG Zhang-jun, HAO Jing, SONG Chen-guang, et al（王章军, 郝菁, 宋晨光, 等）. Laser and Optoelectronics Progress（激光与光电子学进展）, 2020, 57(9): 242.
[16] ZHAO Jing-qi, JI Ya-qin, LI Yue-yang, et al（赵静琦, 姬亚芹, 李越洋, 等）. Research of Environmental Sciences（环境科学研究）, 2019, 32(3): 399.
[17] MENG Jian, FU Hua, ZHAO Xiao-lin, et al（孟健, 付桦, 赵晓林, 等）. Journal of Capital Normal University·Natural Science Edition（首都师范大学学报·自然科学版）, 2006，(2): 89.
[18] YANG Hao-ming, WANG Hui-zhong, WU Yun-bo（杨浩明, 王惠中, 吴云波）. Environmental Science and Technology（环境科技）, 2011, 24(S2): 98.
[19] ZHOU Chun-yan, LI Qing, HE Ying-xia, et al（周春艳, 厉青, 何颖霞, 等）. China Environmental Science（中国环境科学）, 2015, 35(8): 2281.
[20] WEI Ying-ying, YANG Su-qin, CHEN Zhi-quan, et al（韦英英, 杨苏勤, 陈志泉, 等）. Environmental Science and Technology（环境科学与技术）, 2018, 41(3): 80.
[21] LIU Xian-tong, ZHENG Teng-fei, WAN Qi-lin, et al（刘显通, 郑腾飞, 万齐林, 等）. Journal of Tropical Meteorology（热带气象学报）, 2015, 31(2): 193.