Characteristics of the air pollution and the causes of heavy air pollution in winter in the northern slope of Tianshan Mountains: case study of Shihezi City
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摘要:
以天山北坡典型代表城市石河子市为例，基于地面常规污染物浓度监测、气象观测、激光雷达观测及中尺度气象模型(WRF)模拟资料，综合分析了气象条件和边界层结构变化对空气质量的影响。结果表明：以石河子市为代表的天山北坡地区空气质量季节性差异显著，PM2.5浓度在冬、夏两季相差最高达11.4倍，且冬季（12月—次年2月）大气污染发生率高达81.2%，重度及以上污染天气占59.1%。冬季污染呈连续“污染季”变化特征，在2020—2021年冬季发生的4次重污染过程中，每次重污染过程持续时间为7~27 d，间隔仅1~3 d，各过程均以PM2.5污染为主导，PM2.5峰值浓度为373~425 μg/m3，PM2.5/PM10均值为0.82。进入秋冬季后，地面连续低温、高湿的气象条件对PM2.5浓度的增长有显著促进作用，以温度<−3 ℃和65%<相对湿度<92%为主要影响条件，在该条件下边界层高度的显著降低和连续强逆温引起的近地扩散条件转差，是冬“污染季”形成的根本原因。在2021年1月16—22日重污染过程期间，地面为持续低温、高湿、微/静风状态，重污染生消仅随边界层和逆温条件改变，其中污染累积时段边界层高度较清洁时段降低近5倍，逆温强度超过1.5 ℃/(100 m)，后续由逆温的减退和边界层抬升带来3 d清洁天气。
Abstract:Taking Shihezi City, a typical city on the northern slope of Tianshan Mountains, as the case, based on the ground conventional pollutant monitoring, meteorological observation, the LiDAR observation, and the mesoscale Weather Research and Forecast (WRF) model simulation results, the impact of meteorological parameters and boundary layer structure changes on the air quality in Shihezi City were comprehensively analyzed. The results showed that the seasonal differences of air quality in Shihezi City were quite significant, with the highest difference of 11.4 times of PM2.5 concentrations between winter and summer, and the occurrence rate of air pollution episodes in December to February in winter is as high as 81.2%, with 59.1% of heavy and above polluted days. In the winter of 2020-2021, four heavy pollution processes occurred, and each heavy pollution process lasted for 7-27 d, with the interval period of only 1-3 d. Each process was dominated by fine particle pollution. In total, the period of December-February could be considered as a continuous "pollution season", with the peak value of 373-425 μg/m3 of PM2.5, and the average value of 0.82 for PM2.5/PM10. After entering autumn and winter, the continuous low temperature and high humidity meteorological conditions on the ground had a significant negative effect on PM2.5 concentration, and the main influence conditions were T<−3 ℃ and 65%<RH<92%. Under these conditions, the significant declining of boundary layer height and the change of near-ground diffusion caused by continuous strong inversion were the fundamental reasons for the formation of winter "pollution season". In the heavy pollution process on January 16-22, 2021, the continuous low temperature, high humidity and breezy/still wind conditions were the dominant ground meteorological conditions, and the generation and dissipation of heavy pollution only changed with the boundary layer and inversion conditions. The boundary layer height in the pollution accumulation period decreased by nearly 5 times compared with that in the clean days, and the intensity of the inversion temperature exceeded 1.5 ℃/(100 m). Immediately after the heavy pollution episode, 3 clean days appeared following with the receding of inversion temperature and the rising of boundary layer height.
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图 1 石河子市污染观测站位置及WRF数值模拟区域示意
Figure 1. Schematic diagram of pollution observation station in Shihezi and WRF numerical simulation area
图 2 2018—2021年石河子和典型对比城市空气质量指数月变化
注：对比城市包括北京、郑州、成都、上海、广州。
Figure 2. Monthly variations of air quality index in Shihezi and other typical cities from 2018 to 2021
图 3 2018—2021年石河子市冬季和其他季节各污染等级发生频率及首要污染物占比
Figure 3. Frequency of occurrence of each pollution level and proportion of primary pollutants in winter and other seasons in Shihezi from 2018 to 2021
图 4 2020年10月—2021年3月石河子市颗粒物浓度及PM2.5/PM10逐日变化
Figure 4. Daily variation of particulate matter concentration and PM2.5/PM10 in Shihezi during 2020/10-2021/3
图 5 2020—2021年石河子秋冬季PM2.5浓度与地面气象要素的相关关系
Figure 5. Scatter distribution of PM2.5 concentration and near ground meteorological parameters in Shihezi in autumn and winter of 2020-2021
图 6 2020年10月—2021年3月石河子市大气边界层高度和气温垂直廓线月均值变化
Figure 6. Monthly variations of atmospheric boundary layer height and air temperature vertical profiles in Shihezifrom October 2020 to March 2021
图 7 2021年1月15—23日石河子市地面颗粒物浓度和气象要素时间变化
Figure 7. Time series of ground particle concentration and meteorological parameters in Shihezi from January 15 to 23, 2021
图 8 2021年1月15—23日石河子市大气后向散射系数及温度垂直分布变化
Figure 8. Variation of vertical profile of atmospheric backscattering coefficient and temperature in Shihezi from January 15 to 23, 2021
表 1 2018—2021年石河子市和典型对比城市各污染物月均浓度最大值及其与最小值的比值
Table 1. Maximum and minimum monthly average concentration of each pollutant in Shihezi and other typical cities from 2018 to 2021
污染物 石河子 北京 郑州 成都 上海 广州 最大值/
（μg/m3）比值/倍 最大值/
（μg/m3）比值/倍 最大值/
（μg/m3）比值/倍 最大值/
（μg/m3）比值/倍 最大值/
（μg/m3）比值/倍 最大值/
（μg/m3）比值/倍 PM2.5 179.3 11.4 59.7 2.1 109 4 74 3.3 47 2.4 40.3 2.5 PM10 219 5.5 83.3 1.9 144.3 2.4 103.3 2.7 57 1.7 70 2.3 CO1） 2.8 4.2 1.8 2.2 2.1 2.7 1.4 1.6 1.2 1.6 1.3 1.7 O3-8 h2) 145.3 3 225.5 3.8 223.3 3.5 206 3.8 184.7 2.4 193 1.8 NO2 59.3 2.6 52 2.1 58.3 1.9 50.3 1.6 57 2.4 54 1.8 SO2 14 1.8 6.3 2.4 14.7 3.4 8 1.3 8.3 1.4 9.3 1.6 1）CO为最大值当月第 95百分位数浓度，单位为mg/m3； 2）O3-8 h为最大值当月每日O3浓度8小时滑动平均值的第90百分位数浓度。 
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表 2 2020年10月—2021年3月石河子市重污染过程前后颗粒物浓度及气象要素小时值统计
Table 2. Hourly statistics of particulate matter concentration and meteorological elements before and after heavy pollution process in Shihezi during 2020/10-2021/3
阶段 重度以上污
染出现时长/hPM2.5峰值浓
度/（μg/m3）PM2.5平均浓
度/（μg/m3）PM2.5/PM10 温度/℃ 气压/hPa RH/% 风速/（m/s） 过程前 2020年10月1日—12月3日 0 120 35.5 0.46 3.3 975.9 62.0 1.01 重污染过程 P1 2020年12月4—30日 415 373 181.3 0.80 −16.2 982.5 80.8 0.83 P2 2021年1月1—13日 173 384 186.2 0.83 −21.0 985.5 76.4 0.76 P3 2021年1月16—22日 98 411 185.1 0.83 −16.3 972.6 74.9 0.79 P4 2021年1月26日—2月9日 285 425 215.5 0.86 −13.2 977.0 82.1 0.83 总计/平均 971 425 191.1 0.82 −16.5 980.7 79.5 0.81 过程后 2021年2月23日—3月31日 11 165 45.5 0.67 −0.1 970.8 78.0 1.39
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[1] 新华社.中共中央 国务院关于深入打好污染防治攻坚战的意见[J]. 环境科学与管理,2021,46(11):1-6. [2] LI T T, ZHANG Y, WANG J N, et al. All-cause mortality risk associated with long-term exposure to ambient PM2.5 in China: a cohort study[J]. The Lancet Public Health,2018,3(10):e470-e477. doi: 10.1016/S2468-2667(18)30144-0 [3] GUO Y M, ZENG H M, ZHENG R S, et al. The burden of lung cancer mortality attributable to fine particles in China[J]. Science of the Total Environment,2017,579:1460-1466. doi: 10.1016/j.scitotenv.2016.11.147 [4] 赵晨曦, 王云琦, 王玉杰, 等.北京地区冬春PM2.5和PM10污染水平时空分布及其与气象条件的关系[J]. 环境科学,2014,35(2):418-427.ZHAO C X, WANG Y Q, WANG Y J, et al. Temporal and spatial distribution of PM2.5 and PM10 pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing[J]. Environmental Science,2014,35(2):418-427. [5] 蒋伊蓉, 朱蓉, 朱克云, 等.京津冀地区重污染天气过程的污染气象条件数值模拟研究[J]. 环境科学学报,2015,35(9):2681-2692. doi: 10.13671/j.hjkxxb.2015.0012JIANG Y R, ZHU R, ZHU K Y, et al. Numerical simulation on the air pollution potential in the severe air pollution episodes in Beijing-Tianjin-Hebei Region[J]. Acta Scientiae Circumstantiae,2015,35(9):2681-2692. doi: 10.13671/j.hjkxxb.2015.0012 [6] 赵妤希, 陈义珍, 杨欣, 等.2018年3月两会期间北京重污染过程边界层气象的演变分析[J]. 环境科学研究,2019,32(9):1492-1499. doi: 10.13198/j.issn.1001-6929.2019.05.11ZHAO Y X, CHEN Y Z, YANG X, et al. Meteorological evolution of boundary layer during heavy pollution in Beijing during the CPPCC (China People's Political Consultative Conference) in March 2018[J]. Research of Environmental Sciences,2019,32(9):1492-1499. doi: 10.13198/j.issn.1001-6929.2019.05.11 [7] 杨素英, 田芷洁, 张铁凝, 等.霾天气下城市气溶胶吸湿性的观测[J]. 环境科学,2019,40(6):2546-2555. doi: 10.13227/j.hjkx.201806173YANG S Y, TIAN Z J, ZHANG T N, et al. Urban aerosol hygroscopicity during haze weather[J]. Environmental Science,2019,40(6):2546-2555. doi: 10.13227/j.hjkx.201806173 [8] FAUST J A, WONG J P S, LEE A K Y, et al. Role of aerosol liquid water in secondary organic aerosol formation from volatile organic compounds[J]. Environmental Science & Technology,2017,51(3):1405-1413. [9] 王轩. 北京冬季亚微米气溶胶吸湿性变化特征及其对大气重污染过程的影响[D]. 北京: 中国气象科学研究院, 2020. [10] 肖悦, 田永中, 许文轩, 等.中国城市大气污染特征及社会经济影响分析[J]. 生态环境学报,2018,27(3):518-526. doi: 10.16258/j.cnki.1674-5906.2018.03.016XIAO Y, TIAN Y Z, XU W X, et al. Study on the spatiotemporal characteristics and socioeconomic driving factors of air pollution in China[J]. Ecology and Environmental Sciences,2018,27(3):518-526. doi: 10.16258/j.cnki.1674-5906.2018.03.016 [11] 刘艳杰, 刘小雪, 马庚雪.新冠疫情防控期京津冀重污染气象成因分析[J]. 环境工程技术学报,2021,11(6):1065-1074. doi: 10.12153/j.issn.1674-991X.20210037LIU Y J, LIU X X, MA G X. Analysis on meteorological causes of heavy pollution in Beijing-Tianjin-Hebei Region during the prevention and control of COVID-19[J]. Journal of Environmental Engineering Technology,2021,11(6):1065-1074. doi: 10.12153/j.issn.1674-991X.20210037 [12] 王琼真, 于燕, 孟伟江, 等.一次长三角大气重污染期间浙江典型城市大气PM2.5污染成因分析[J]. 环境污染与防治,2019,41(9):1076-1081.WANG Q Z, YU Y, MENG W J, et al. The causes of PM2.5 pollution in typical cities of Zhejiang during a severe pollution event of Yangtze River Delta[J]. Environmental Pollution & Control,2019,41(9):1076-1081. [13] 郭倩, 汪嘉杨, 周子航, 等.成都市一次典型空气重污染过程特征及成因分析[J]. 环境科学学报,2018,38(2):629-639. doi: 10.13671/j.hjkxxb.2017.0341GUO Q, WANG J Y, ZHOU Z H, et al. Characteristics and reason analysis of a typical heavy air pollution event in Chengdu[J]. Acta Scientiae Circumstantiae,2018,38(2):629-639. doi: 10.13671/j.hjkxxb.2017.0341 [14] 郑翔. 珠三角城市群空气污染时空分布特征与影响因素分析[D]. 赣州: 江西理工大学, 2019. [15] 闵月. 天山北坡乌昌石地区污染天气过程的气象特征研究[D]. 兰州: 兰州大学, 2020. [16] 陈臻懿, 刘文清, 张玉钧, 等.用云高仪测量边界层高度[J]. 激光技术,2009,33(5):455-458. doi: 10.3969/j.issn.1001-3806.2009.05.003CHEN Z Y, LIU W Q, ZHANG Y J, et al. Detection of mixing layer depth with ceilometer[J]. Laser Technology,2009,33(5):455-458. doi: 10.3969/j.issn.1001-3806.2009.05.003 [17] 徐冉, 张恒德, 杨孝文, 等.北京地区秋冬季大气污染特征及成因分析[J]. 环境科学,2019,40(8):3405-3414. doi: 10.13227/j.hjkx.201806061XU R, ZHANG H D, YANG X W, et al. Concentration characteristics of PM2.5 and the causes of heavy air pollution events in Beijing during autumn and winter[J]. Environmental Science,2019,40(8):3405-3414. doi: 10.13227/j.hjkx.201806061 [18] HUANG R J, ZHANG Y L, BOZZETTI C, et al. High secondary aerosol contribution to particulate pollution during haze events in China[J]. Nature,2014,514(7521):218-222. doi: 10.1038/nature13774 [19] 孟丽红, 郝囝, 邱晓滨, 等.新冠肺炎疫情期间天津市重污染天气的边界层特征[J]. 环境工程技术学报,2022,12(3):701-709. doi: 10.12153/j.issn.1674-991X.20210154MENG L H, HAO J, QIU X B, et al. Boundary layer characteristics of heavy pollution process in Tianjin during the epidemic period of COVID-19[J]. Journal of Environmental Engineering Technology,2022,12(3):701-709. doi: 10.12153/j.issn.1674-991X.20210154 [20] 韩笑颜, 周颖, 吕喆, 等.京津冀典型城市一次重污染过程特征及边界层结构变化对其影响[J]. 环境科学研究,2020,33(10):2235-2245. doi: 10.13198/j.issn.1001-6929.2020.05.15HAN X Y, ZHOU Y, LÜ Z, et al. Characteristics of heavy air pollution process and influence of structure variation of planetary boundary layer in typical cities of Beijing-Tianjin-Hebei Region[J]. Research of Environmental Science,2020,33(10):2235-2245. doi: 10.13198/j.issn.1001-6929.2020.05.15 [21] 王建英, 陈珂, 刘洋, 等.北方城市冬季采暖期对环境空气质量的影响[J]. 当代化工研究,2017(8):142-143. doi: 10.3969/j.issn.1672-8114.2017.08.076WANG J Y, CHEN K, LIU Y, et al. Influence of winter heating period on ambient air quality in northern cities[J]. Modern Chemical Research,2017(8):142-143. doi: 10.3969/j.issn.1672-8114.2017.08.076 [22] 王昱焜. 气溶胶吸湿特性的分子动力学模拟及K-Kohler理论研究[D]. 北京: 北京化工大学, 2019. [23] 李霞, 杨静, 麻军, 等.乌鲁木齐重污染日的天气分型和边界层结构特征研究[J]. 高原气象,2012,31(5):1414-1423.LI X, YANG J, MA J, et al. Researches of weather pattern and boundary layer structure characteristic on serious air pollution days in Urumqi[J]. Plateau Meteorology,2012,31(5):1414-1423. [24] 雷薇, 蒋雨荷.风速对石河子污染物扩散的影响研究[J]. 环境科学与管理,2020,45(11):180-184. doi: 10.3969/j.issn.1673-1212.2020.11.037LEI W, JIANG Y H. Effect of wind speed on pollutant diffusion in Shihezi[J]. Environmental Science and Management,2020,45(11):180-184. doi: 10.3969/j.issn.1673-1212.2020.11.037 [25] 廉涵阳, 杨欣, 张普, 等.北京2019年冬季一次典型霾污染特征与成因分析[J]. 环境科学,2021,42(5):2121-2132. doi: 10.13227/j.hjkx.202008258LIAN H Y, YANG X, ZHANG P, et al. Analysis of characteristics and causes of a typical haze pollution in Beijing in the winter of 2019[J]. Environmental Science,2021,42(5):2121-2132. doi: 10.13227/j.hjkx.202008258 [26] QU Y W, HAN Y, WU Y H, et al. Study of PBLH and its correlation with particulate matter from one-year observation over Nanjing, southeast China[J]. Remote Sensing,2017,9(7):668. doi: 10.3390/rs9070668 [27] QUAN J N, GAO Y, ZHANG Q, et al. Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentrations[J]. Particuology,2013,11(1):34-40. doi: 10.1016/j.partic.2012.04.005 [28] 张娟, 王维真, 梁继.三江源腹地积雪过程中近地层空气温湿度垂直观测分析[J]. 高原气象,2020,39(6):1155-1166. doi: 10.7522/j.ssn.1000-0543.2019.00138ZHANG J, WANG W Z, LIANG J. Vertical characteristics on temperature and humidity of surface layer air during snow processes in the hinterland of Sanjiangyuan[J]. Plateau Meteorology,2020,39(6):1155-1166. doi: 10.7522/j.ssn.1000-0543.2019.00138 [29] 都占良, 韩廷芳, 张德琴, 等.格尔木地区近地面逆温层特征及其影响因子分析[J]. 青海环境,2019,29(2):67-71. doi: 10.3969/j.issn.1007-2454.2019.02.005 [30] 张艳燕, 孟凡, 何友江, 等.乌鲁木齐市冬季典型污染事件气象过程分析[J]. 环境科学研究,2012,25(1):10-17. doi: 10.13198/j.res.2012.01.13.zhangyy.007ZHANG Y Y, MENG F, HE Y J, et al. Meteorology analysis of typical winter air pollution in Urumqi City[J]. Research of Environmental Sciences,2012,25(1):10-17. doi: 10.13198/j.res.2012.01.13.zhangyy.007 [31] 徐大海, 王郁, 朱蓉.中国大陆地区大气环境容量及城市大气环境荷载[J]. 中国科学:地球科学,2018,48(7):924-937. doi: 10.1360/N072017-00131XU D H, WANG Y, ZHU R. Atmospheric environmental capacity and urban atmospheric load in China's Mainland[J]. Scientia Sinica (Terrae),2018,48(7):924-937. □ doi: 10.1360/N072017-00131 -
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