Source Apportionment of PM2.5 during Heavy Pollution Process in Ji'nan Based on Satellite Remote Sensing and CMB Model

doi:10.16258/j.cnki.1674-5906.2022.06.013

Ecology and Environment ›› 2022, Vol. 31 ›› Issue (6): 1175-1183.DOI: 10.16258/j.cnki.1674-5906.2022.06.013

• Research Articles • Previous Articles Next Articles

Source Apportionment of PM_2.5 during Heavy Pollution Process in Ji'nan Based on Satellite Remote Sensing and CMB Model

WEI Xiaofeng¹(), HAN Hong¹, YAN Xuejun², WANG Zaifeng², LI Shengzeng², TIAN Yong², LIANG Di¹, MA Mingliang¹, ZHANG Guiqin¹^,³^,^*()

1. School of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan 250101, P. R. China
2. Shandong Provincial Environmental Monitoring Center, Ji'nan 250101, P. R. China
3. Research Institute of Resources and Environment Innovation, Shandong Jianzhu University, Ji'nan 250101, P. R. China

Received:2021-09-23 Online:2022-06-18 Published:2022-07-29
Contact: ZHANG Guiqin

基于卫星遥感与CMB模型的济南市冬季重污染过程PM_2.5溯源分析

魏小锋¹(), 韩红¹, 闫学军², 王在峰², 李圣增², 田勇², 梁第¹, 马明亮¹, 张桂芹¹^,³^,^*()

1.山东建筑大学市政与环境工程学院,山东济南 250101
2.山东省济南生态环境监测中心,山东济南 250101
3.山东建筑大学资源与环境创新研究院,山东济南 250101

通讯作者: 张桂芹
作者简介:魏小锋（1982年生）,女,讲师,博士,主要研究方向为大气环境化学。E-mail: weixf@sdjzu.edu.cn
基金资助:
济南市政府招标项目(402015202000023001);山东建筑大学博士基金项目(XNBS1310)

Abstract

Abstract:

Ji'nan, as the economic, political and cultural center of Shandong Province, is one of the “2+26” cities in the Beijing-Tianjin-Hebei air pollution transmission channel. Heavy pollution with PM_2.5as the primary pollutant is prone to occur in winter. To investigate the main sources of PM_2.5 during the heavy pollution process in winter in Jinan, the pollutant data were collected during a winter heavy pollution process (January 1-6 in 2020) and analyzed with satellite interpretation, Chemical Mass Balance (CMB) model, Potential Source Contribution Factor analysis (PSCF), and Concentration-weighted trajectory (CWT). Based on the hourly data of gaseous pollutants, PM_2.5 and meteorological record, the pollution characteristics, local sources, regional transmission, and spatio-temporal evolution of the heavy pollution process in Jinan city were comprehensively analyzed. The results showed that PM_2.5 was the primary pollutant during the heavy pollution process. With the increase of humidity and the decrease of Planetary Boundary Layer (PBL), the average daily concentration of PM_2.5 reached the highest as 211 μg∙m^-3, and the highest hour concentration of PM_2.5 was 333 μg∙m^-3. NO₃^-, SO₄^2-, NH₄⁺ and OM, accounting for 30.7%, 11.4%, 13.9% and 13.7% of PM_2.5, respectively. The average values of SOR and NOR reached 0.6 and 0.5, respectively, indicating that the heavy pollution process mainly came from the secondary transformation of gaseous precursors. The CMB analytical results showed that the secondary source (nitrate, sulfate, secondary organic carbon) and vehicle emission were the main sources of Ji'nan's heavy PM_2.5 pollution process during the winter. The nitrate sharing rate and concentration contribution value were 2.2 and 10.5 times the values on the non-pollutant days. Compared with the local pollution sources in Ji'nan, the heavy pollution process was also affected by the adjacent transmission of air pollution masses in eastern Dezhou, western Binzhou, Shanghe County, and Jiyang District of Ji'nan, as well as the trans-provincial transport of air pollution masses from northeast Henan province and western Anhui Province from the southwest which influenced the south of Ji'nan, Tai'an, Jining area and Ji'nan Changqing district, Pingyin county and other places.

Key words: Heavy pollution process, PM_2.5, source apportionment, Chemical Mass Balance model, Satellite remote sensing, Potential Source Contribution Factor, Concentration-weighed trajectory analysis

摘要：

济南市作为京津冀大气污染传输通道“2+26”城市之一,冬季易出现以PM_2.5为首要污染物的重污染天气。为探究济南市冬季PM_2.5重污染过程的污染成因和主要来源,以济南市冬季一次重污染过程（2020年1月1日—6日）为研究对象,基于卫星遥感、化学质量平衡（CMB）模型、潜在源贡献因子分析（PSCF）和浓度权重轨迹分析（CWT）,同时结合气态污染物和PM_2.5组分小时数据以及各项气象要素等资料,全面和综合地对济南市冬季重污染过程污染特征、本地来源、区域传输和时空演变过程进行了分析。结果表明,济南市本次重污染过程以PM_2.5为首要污染物,随着湿度升高和大气边界层高度（PBL）的降低,PM_2.5日均质量浓度达到最高211 μg∙m^-3,其中PM_2.5小时质量浓度最高达到333 μg∙m^-3;NO₃^-、SO₄^2-、NH₄⁺和有机物（OM）在PM_2.5中占比分别为30.7%、11.4%、13.9%和13.7%;重污染时段硫氧化率（SOR）和氮氧化率（NOR）平均值分别达到0.6和0.5,说明此次重污染过程主要来自于气态前体物的二次转化。CMB来源解析结果表明,二次源（硝酸盐、硫酸盐、二次有机碳）和机动车源是济南市冬季PM_2.5重污染过程的主要来源;与清洁天相比,硝酸盐的分担率和质量浓度均显著升高,分担率是清洁天的2.2倍,质量浓度是清洁天的10.5倍。本次重污染过程除济南本地污染源以外,还受山东省内德州东部、滨州西部以及济南市的商河县和济阳区等地污染气团近距离传输,以及来自西南方向的河南省东北部和安徽省西部地区的跨省输送的污染气团,途径济南市南部、泰安和济宁地区以及济南市的长清区和平阴县等地的共同影响。

关键词: 重污染过程, PM_2.5, 溯源分析, 化学质量平衡模型, 卫星遥感, 潜在源贡献因子分析, 浓度权重轨迹分析

CLC Number:

WEI Xiaofeng, HAN Hong, YAN Xuejun, WANG Zaifeng, LI Shengzeng, TIAN Yong, LIANG Di, MA Mingliang, ZHANG Guiqin. Source Apportionment of PM_2.5 during Heavy Pollution Process in Ji'nan Based on Satellite Remote Sensing and CMB Model[J]. Ecology and Environment, 2022, 31(6): 1175-1183.

魏小锋, 韩红, 闫学军, 王在峰, 李圣增, 田勇, 梁第, 马明亮, 张桂芹. 基于卫星遥感与CMB模型的济南市冬季重污染过程PM_2.5溯源分析[J]. 生态环境学报, 2022, 31(6): 1175-1183.

Figures/Tables 6

Figure 1 AQI, PM2.5 concentration, RH and PBL in Ji'nan from January 1 to 6, 2020

Figure 2 Changes of SOR, NOR and PM2.5 component concentration and meteorological factors during heavy pollution in Ji'nan from January 1 to 6, 2020

Figure 3 PM2.5 concentration and share rate of pollution sources on polluted day and clean day

Figure 4 Distribution of WPSCF of PM2.5, NO3-, NH4+ and SO42- in Ji'nan on January 4

Figure 5 Distribution of WCWT of PM2.5, NO3-, NH4+ and SO42- in Ji'nan on January 4

Figure 6 AOD distribution in North China Plain from January 1 to 6, 2020 The red boxes and numbers represent areas of high AOD value

References 39

[1]	CHEN Y, LUO X S, ZHAO Z H, et al., 2018. Summer-winter differences of PM_2.5 toxicity to human alveolar epithelial cells (A549) and the roles of transition metals[J]. Ecotoxicology and Environmental Safety, 165: 505-509.
[2]	CHENG N N, ZHANG C, JING D J, et al., 2020. An integrated chemical mass balance and source emission inventory model for the source apportionment of PM_2.5 in typical coastal areas[J]. Journal of Environmental Sciences, 92: 118-128.
[3]	FAN F Y, LEI Y L, LI L, 2019. Health damage assessment of particulate matter pollution in Jing-Jin-Ji region of China[J]. Environmental Science and Pollution Research, 26(8): 7883-7895.
[4]	HONG Y, LI C L, LI X L, et al., 2018. Analysis of compositional variation and source characteristics of water-soluble ions in PM_2.5 during several winter-haze pollution episodes in Shenyang, China[J]. Atmosphere, 9(7): 280-301.
[5]	LI Y, MIAO Y C, CHE H Z, et al., 2021. On the heavy aerosol pollution and its meteorological dependence in Shandong province, China[J]. Atmospheric Research, DOI: 10.1016/j.atmosres.2021.105572. DOI URL
[6]	LIN C Q, LI Y, YUAN Z B, et al., 2015. Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM_2.5[J]. Remote Sensing of Environment, 156: 117-128.
[7]	LU X, ZHANG S J, XING J, et al., 2020. Progress of air pollution control in China and its challenges and opportunities in the ecological civilization era[J]. Engineering, 6(12): 1423-1431.
[8]	MIAO Y C, LI J, MIAO S G, et al., 2019. Interaction between planetary boundary layer and PM_2.5 pollution in megacities in China: A review[J]. Current Pollution Reports, 5(4): 261-271.
[9]	MILLER M S, FRIEDLANDER S K, HIDY G M, 1972. A chemical element balance for the Pasadena aerosol[J]. Journal of Colloid and Interface Science, 39(1): 165-176.
[10]	NOZIÈRE B, KALBERER M, CLAEYS M, et al., 2015. The molecular identification of organic compounds in the atmosphere: State of the art and challenges[J]. Chemical Reviews, 115(10): 3919-3983.
[11]	SUN X Y, ZHAO T L, LIU D Y, et al., 2020. Quantifying the influences of PM_2.5 and relative humidity on change of atmospheric visibility over recent winters in an urban area of east China[J]. Atmosphere, 11(5): 461-472.
[12]	TIAN S S, LIU Y Y, WANG J, et al., 2020. Chemical compositions and source analysis of PM_2.5 during autumn and winter in a heavily polluted city in China[J]. Atmosphere, 11(4): 336.
[13]	WANG W, MAO F Y, PAN Z X, et al., 2019b. Evaluating aerosol optical depth from Himawari-8 with sun photometer network[J]. Journal of Geophysical Research: Atmospheres, 124(10): 5516-5538.
[14]	WANG X Y, ZHANG R H, YU W, 2019a. The effects of PM_2.5 concentrations and relative humidity on atmospheric visibility in Beijing[J]. Journal of Geophysical Research: Atmospheres, 124(4): 2235-2259.
[15]	WANG Y H, LI M M, WAN X, et al., 2018. Spatiotemporal analysis of PM_2.5and pancreatic cancer mortality in China[J]. Environmental Research, 164: 132-139.
[16]	XU Q Q, CHEN X L, LI J, et al., 2020. Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing[J]. Atmospheric Pollution Research, 11(7): 1115-1126.
[17]	ZHANG Y Y, JIA Y, LI M, et al., 2018. The characterization of watersoluble inorganic ions in PM_2.5 during a winter period in Xi'an, China[J]. Environmental Forensics, 19(3): 166-171.
[18]	陈燕玲, 张根, 王欢, 等, 2021. 江西省冬季大气典型污染过程的气象成因研究[J]. 环境科学学报, 41(8): 3021-3032.
	CHEN Y L, ZHANG G, WANG H, et al., 2021. Meteorological causes of typical air pollution process during Winter in Jiangxi[J]. Acta Scientiae Circumstantiae, 41(8): 3021-3032.
[19]	陈飞, 秦传高, 钟秦, 2013. 徐州市城市大气中的PAHs来源解析[J]. 生态环境学报, 22(12): 1916-1921.
	CHEN F, QIN C G, ZHONG Q, 2013. Source apportionment of polycyclic aromatic hydrocarbon in Xuzhou[J]. Ecology and Environmental Sciences, 22(12): 1916-1921.
[20]	冯亚洁, 廉丽姝, 李宝富, 等, 2020. 济南市冬季典型重污染天气过程及成因分析[J]. 环境污染与防治, 42(6): 745-750.
	FENG Y J, LIAN L S, LI B F, et al., 2020. The analysis and causes of typical heavy pollution weather process in winter in Ji'nan[J]. Environmental Pollution & Control, 42(6): 745-750.
[21]	高星星, 桂海林, 潘留杰, 等, 2021. 基于卫星遥感和地面观测资料的汾渭平原一次空气污染过程分析[J]. 沙漠与绿洲气象, 15(1): 75-83.
	GAO X X, GUI H L, PAN L J, et al., 2021. Analysis on an air pollution event in Fenwei plain based on satellite remote sensing and ground observation data[J]. Desert and Oasis Meteorology, 15(1): 75-83.
[22]	高雪倩, 吴建会, 张会涛, 等, 2021. 路边微环境PM_2.5化学组分特征及来源解析[J]. 中国环境科学, 41(11): 5086-5093.
	GAO X Q, WU J H, ZHANG H T, et al., 2021. Contributions of vehicle emissions to PM_2.5 in roadside microenvironments[J]. China Environmental Science, 41(11): 5086-5093.
[23]	高阳, 韩永贵, 黄晓宇, 等, 2021. 基于后向轨迹模式的豫南地区冬季PM_2.5来源分布及传输分析[J]. 环境科学研究, 34(3): 538-548.
	GAO Y, HAN Y G, HUANG X Y, et al., 2021. PM_2.5 source distribution and transmission in winter in southern Henan province based on backward trajectory model[J]. Research of Environmental Sciences, 34(3): 538-548.
[24]	金囝囡, 杨兴川, 晏星, 等, 2021. 京津冀及周边MAIAC AOD和PM_2.5质量浓度特征及相关性分析[J]. 环境科学, 42(6): 2604-2615.
	JIN J N, YANG X C, YAN X, et al., 2021. MAIAC AOD and PM_2.5 mass concentrations characteristics and correlation analysis in Beijing-Tianjin-Hebei and surrounding areas[J]. Environmental Science, 42(6): 2604-2615.
[25]	雷天阳, 藏雨, 高元官, 等, 2020. 菏泽市秋冬季PM_2.5水溶性离子化学特征分析[J]. 环境科学研究, 33(4): 831-840.
	LEI T Y, ZANG Y, GAO Y G, et al., 2020. Chemical characteristics of water-soluble ions of PM_2.5 in Autumn and winter in Heze city[J]. Research of Environmental Sciences, 33(4): 831-840.
[26]	李春燕, 王恪非, 姚宇坤, 等, 2021. 苏州市大气污染区域传输特征分析[J]. 环保科技, 27(2): 8-11.
	LI C Y, WANG K F, YAO Y K, et al., 2021. Analysis of transmission characteristics of air pollution in Suzhou[J]. Environmental Protection and Technology. 27(2): 8-11.
[27]	李慧, 张敬巧, 王涵, 等, 2020. 银川市冬季PM_2.5重污染特征、来源与成因分析[J]. 环境科学研究, 33(2): 289-295.
	LI H, ZHANG J Q, WANG H, et al., 2020. Pollution characteristics and source analysis of PM_2.5 in Yinchuan city during winter[J]. Research of Environmental Sciences, 33(2): 289-295.
[28]	李倩, 李成才, 王烨芳, 等, 2013. 利用激光雷达和卫星遥感获得城市地面大气悬浮颗粒物浓度分布[J]. 北京大学学报(自然科学版), 49(4): 673-682.
	LI Q, LI C C, WANG Y F, et al., 2013. Retrieval on mass concentration of urban surface suspended paticulate matter with LIDAR and satellite remotesensing[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 49(4): 673-682.
[29]	李瑞, 李清, 徐健, 等, 2020. 秋冬季区域性大气污染过程对长三角北部典型城市的影响[J]. 环境科学, 41(4): 1520-1534.
	LI R, LI Q, XU J, et al., 2020. Regional air pollution process in winter over the Yangtze River Delta and its influence on typical northern cities[J]. Environmental Science, 41(4): 1520-1534.
[30]	刘盈盈, 殷宝辉, 王静, 等, 2018. 济南冬季大气重污染过程颗粒物组分变化特征[J]. 环境化学, 37(12): 2749-2757.
	LIU Y Y, YIN B H, WANG J, et al., 2018. Characteristics of airborne particles compositions during winter heavy pollution days in Ji'nan[J]. Environmental Chemistry, 37(12): 2749-2757.
[31]	孙峰, 姚欢, 刘保献, 等, 2021. 2013-2019年京津冀及周边地区PM_2.5重污染特征[J]. 中国环境监测, 37(4): 46-53.
	SUN F, YAO H, LIU B X, et al., 2021. Characteristics of PM_2.5 heavy pollution in Beijing-Tianjin-Hebei and surrounding areas from 2013 to 2019[J]. Environmental Monitoring in China, 37(4): 46-53.
[32]	王建英, 崔洋, 史霖, 等, 2020. 银川市冬季两次典型持续大气污染过程对比分析[J]. 环境科学研究, 33(3): 555-562.
	WANG J Y, CUI Y, SHI L, et al., 2020. Comparative study of two typical continuous air pollution processes in Yinchuan city in winter[J]. Research of Environmental Sciences, 33(3): 555-562.
[33]	王露, 刘保双, 毕晓辉, 等, 2017. 泰山顶PM_2.5及其二次组分的输送路径与潜在源[J]. 环境科学研究, 30(10): 1505-1514.
	WANG L, LIU B S, BI X H, et al., 2017. Transport pathway and potential sources of PM_2.5 and secondary components at the top of Mountain Tai[J]. Research of Environmental Sciences, 30(10): 1505-1514.
[34]	魏小锋, 刘光辉, 闫学军, 等, 2020. 济南市冬季大气重污染过程PM_2.5数浓度谱和组分分布特征[J]. 生态环境学报, 29(9): 1847-1854.
	WEI X F, LIU G H, YAN X J, et al., 2020. Characteristics of PM_2.5 number concentrations and compositions during heavy air pollution events in Ji'nan[J]. Ecology and Environmental Sciences, 29(9): 1847-1854.
[35]	魏小锋, 谭路遥, 孙友敏, 等, 2019. 清洁能源政策下济南市采暖季PM_2.5中水溶性离子变化分析[J]. 生态环境学报, 28(7): 1416-1422.
	WEI X F, TAN L Y, SUN Y M, et al., 2019. Impact on water soluble ions in PM_2.5 during heating period in Ji'nan city by a policy of clean energy[J]. Ecology and Environmental Sciences, 28(7): 1416-1422.
[36]	辛艾萱, 何超, 彭韵曦, 等, 2020. 武汉市大气污染物时空分布与区域传输贡献[J]. 环境科学与技术, 43(9): 170-181.
	XIN A X, HE C, PENG Y X, et al., 2020. Spatiotemporal pattern and regional transport contribution of air pollutants in Wuhan city[J]. Environmental Science & Technology, 43(9): 170-181.
[37]	姚森, 张晗宇, 王晓琦, 等, 2021. 2016年1月京津冀地区大气污染特征与多尺度传输量化评估[J]. 环境科学, 42(2): 534-545.
	YAO S, ZHANG H Y, WANG X Q, et al., 2021. Air pollution characteristics and quantitative evaluation of multi-scale transport in the Beijing-Tianjin-Hebei region in January, 2016[J]. Environmental Science, 42(2): 534-545.
[38]	周敏, 2020. 上海大气PM_2.5来源解析对比: 于在线数据运用3种受体模型[J]. 环境科学, 41(5): 1997-2005.
	ZHOU M, 2020. Comparison of three receptor models for source apportionment of PM_2.5 in Shanghai: Using hourly resolved PM_2.5 chemical composition data[J]. Environmental Science, 41(5): 1997-2005.
[39]	周睿智, 闫才青, 崔敏, 等, 2021. 山东省大气细颗粒物来源解析的研究现状与展望[J]. 中国环境科学, 41(7): 3029-3042.
	ZHOU R Z, YAN C Q, CUI M, et al., 2021. Research status and prospects on source apportionment of atmospheric fine particulate matter in Shandong Province[J]. China Environmental Science, 41(7): 3029-3042.