Citation: | FENG C L,RAO Y C,MENG Q J,et al.Characteristics and sources apportionment of air pollution during heating period in Xuzhou[J].Journal of Environmental Engineering Technology,2023,13(2):501-509 doi: 10.12153/j.issn.1674-991X.20220300 |
The concentrations of air pollutants in Xuzhou have decreased significantly in recent years. However, the problem of air pollution during the heating periods is still serious. Studying the characteristics and sources of air pollution during the heating periods plays an important role in the early warning and prevention and control of air pollution. A set of approaches, such as ground monitoring, remote sensing satellite monitoring, PM2.5 composition analysis, potential source contribution factor method (PSCF) and concentration-weighted trajectory analysis (CWT), were comprehensively adopted. The air pollution characteristics of Xuzhou in five heating periods from 2016 to 2020 were analyzed, and the sources of PM2.5 in the heating periods were analyzed. The results showed that the air quality in Xuzhou had significantly improved in recent years, but the concentrations of most air pollutants during the heating periods were significantly higher than that in the non-heating periods. The heating had a great impact on the concentration of PM2.5, and during the heating periods, the concentration of PM2.5 increased by 40%-71% compared with those before and after the heating periods. The concentrations of Cl−, NO3 −, SO4 2−, and NH4 + in the heating periods were significantly higher than those before and after the heating periods, indicating that the concentration of NH4 + had a strong correlation with NO3 −, SO4 2− and Cl− during the heating periods. The contribution of coal combustion and industrial emission to PM2.5 during the heating periods was 9.9% and 13.9%, respectively, higher than that after the heating periods, the SOR and NOR during the heating periods were significantly higher than those in non-heating periods, and the secondary conversion efficiency of SO2 and NOx increased significantly. The trajectory analysis indicated that the potential source areas contributed to Xuzhou during the heating periods were mainly distributed in Hebei Province and the areas neighboring Xuzhou, and the main contributing areas with PM2.5 concentration higher than 75 µg/m3 were from Shandong, Henan, northern Anhui, and southern Hebei.
[1] |
生态环境部. 中国生态环境状况公报(2016—2020年)[A/OL]. [2022-02-20]. https://www.mee.gov.cn/hjzl/sthjzk/.
|
[2] |
胡子超, 吴广芬, 郭旭, 等.采暖期和非采暖期PM2.5污染特征分析: 以烟台市为例[J]. 四川环境,2016,35(2):72-75. doi: 10.3969/j.issn.1001-3644.2016.02.014
HU Z C, WU G F, GUO X, et al. Pollution characteristics of PM2.5 in heating and non-heating season: take Yantai as an example[J]. Sichuan Environment,2016,35(2):72-75. doi: 10.3969/j.issn.1001-3644.2016.02.014
|
[3] |
李凯, 张承中, 周变红.西安市采暖期PM2.5污染状况及其与气象因子的相关分析[J]. 安徽农业科学,2009,37(20):9603-9605. doi: 10.3969/j.issn.0517-6611.2009.20.116
LI K, ZHANG C Z, ZHOU B H. Pollution status of the particulate matter (PM2.5) and the correlation of PM2.5 and meteorological factors during heating period in Xi'an City[J]. Journal of Anhui Agricultural Sciences,2009,37(20):9603-9605. doi: 10.3969/j.issn.0517-6611.2009.20.116
|
[4] |
房文旭, 宋维薇, 梁宇暄, 等.哈尔滨市供暖期PM2.5组分特征及来源解析[J]. 环境科学学报,2020,40(10):3794-3802.
FANG W X, SONG W W, LIANG Y X, et al. Chemical composition characteristics and source apportionment of PM2.5 during heating period in Harbin[J]. Acta Scientiae Circumstantiae,2020,40(10):3794-3802.
|
[5] |
徐有宁, 陈聪, 李庆科, 等.沈阳市采暖期PM2.5与PM10污染特征分析[J]. 热能动力工程,2017,32(7):121-125.
XU Y N, CHEN C, LI Q K, et al. Analysis of PM2.5 and PM10 pollution characteristics during heating period in Shenyang[J]. Journal of Engineering for Thermal Energy and Power,2017,32(7):121-125.
|
[6] |
杨勇杰, 王跃思, 温天雪, 等.采暖期开始前后北京大气颗粒物中化学元素特征及来源[J]. 环境科学,2008,29(11):3275-3279. doi: 10.3321/j.issn:0250-3301.2008.11.049
YANG Y J, WANG Y S, WEN T X, et al. Characteristics and sources of elements of atmospheric particles before and in heating period in Beijing[J]. Environmental Science,2008,29(11):3275-3279. doi: 10.3321/j.issn:0250-3301.2008.11.049
|
[7] |
张卫中, 闫利霞, 郭立平, 等.廊坊市重污染天气大气环流形势及配置特征分析[J]. 环境工程技术学报,2019,9(4):335-341. doi: 10.12153/j.issn.1674-991X.2019.01.241
ZHANG W Z, YAN L X, GUO L P, et al. Analysis of atmospheric circulation situation and allocation characteristics of heavily polluted weather in Langfang City[J]. Journal of Environmental Engineering Technology,2019,9(4):335-341. doi: 10.12153/j.issn.1674-991X.2019.01.241
|
[8] |
RENHE Z, LI Q, ZHANG R N. Meteorological conditions for the persistent severe fog and haze event over Eastern China in January 2013[J]. Science China Earth Sciences,2014,57(1):26-35. doi: 10.1007/s11430-013-4774-3
|
[9] |
WANG Y S, YAO L, WANG L L, et al. Mechanism for the formation of the January 2013 heavy haze pollution episode over central and Eastern China[J]. Science China Earth Sciences,2014,57(1):14-25. doi: 10.1007/s11430-013-4773-4
|
[10] |
KANG H Q, ZHU B, SU J F, et al. Analysis of a long-lasting haze episode in Nanjing, China[J]. Atmospheric Research,2013,120/121:78-87. doi: 10.1016/j.atmosres.2012.08.004
|
[11] |
CAI S Y, WANG Y J, ZHAO B, et al. The impact of the “Air Pollution Prevention and Control Action Plan” on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020[J]. Science of the Total Environment,2017,580:197-209. doi: 10.1016/j.scitotenv.2016.11.188
|
[12] |
刀谞, 吉东生, 张显, 等.京津冀及周边地区采暖季PM2.5化学组分变化特征[J]. 环境科学研究,2021,34(1):1-10.
DAO X, JI D S, ZHANG X, et al. Characteristics of chemical composition of PM2.5 in Beijing-Tianjin-Hebei and its surrounding areas during the heating period[J]. Research of Environmental Sciences,2021,34(1):1-10.
|
[13] |
CAO K, ZHANG W T, LIU S B, et al. Pareto law-based regional inequality analysis of PM2.5 air pollution and economic development in China[J]. Journal of Environmental Management,2019,252:109635. doi: 10.1016/j.jenvman.2019.109635
|
[14] |
李慧, 王淑兰, 张敬巧, 等.银川市PM2.5中水溶性离子污染特征与来源分析[J]. 环境工程技术学报,2021,11(4):624-630. doi: 10.12153/j.issn.1674-991X.20200247
LI H, WANG S L, ZHANG J Q, et al. Pollution characterization and source analysis of water-soluble ions in PM2.5 of Yinchuan City[J]. Journal of Environmental Engineering Technology,2021,11(4):624-630. doi: 10.12153/j.issn.1674-991X.20200247
|
[15] |
李昌龙, 王静怡, 高媛媛.徐州市区PM2.5浓度与气象要素的相关性分析: 以2015年冬为例[J]. 环保科技,2017,23(2):15-20. doi: 10.3969/j.issn.1674-0254.2017.02.004
LI C L, WANG J Y, GAO Y Y. Correlation between PM2.5 concentration and meteorological elements in Xuzhou City in winter of 2015[J]. Environmental Protection and Technology,2017,23(2):15-20. doi: 10.3969/j.issn.1674-0254.2017.02.004
|
[16] |
李辉, 饶永才, 花小春.2020年春节期间徐州市区污染物来源解析及管控建议[J]. 环境科技,2020,33(4):68-73. doi: 10.3969/j.issn.1674-4829.2020.04.015
LI H, RAO Y C, HUA X C. Analysis of the sources of pollutants in Xuzhou during the spring festival in 2020 and suggestions for their control[J]. Environmental Science and Technology,2020,33(4):68-73. doi: 10.3969/j.issn.1674-4829.2020.04.015
|
[17] |
饶永才, 郁建桥, 冯春莉, 等.徐州市四大行业转型升级对空气质量的影响分析[J]. 环境科技,2020,33(6):58-61. doi: 10.3969/j.issn.1674-4829.2020.06.012
RAO Y C, YU J Q, FENG C L, et al. Analysis on the impact of transformation and upgrading of four major industries on air quality in Xuzhou[J]. Environmental Science and Technology,2020,33(6):58-61. doi: 10.3969/j.issn.1674-4829.2020.06.012
|
[18] |
ZHANG X, YIN Y, van der RONALD A, et al. Estimates of lightning NOx production based on high-resolution OMI NO2 retrievals over the continental US[J]. Atmospheric Measurement Techniques,2020,13(4):1709-1734. doi: 10.5194/amt-13-1709-2020
|
[19] |
ZEMMER F, KARACA F, OZKARAGOZ F. Ragweed pollen observed in Turkey: detection of sources using back trajectory models[J]. Science of the Total Environment,2012,430:101-108. doi: 10.1016/j.scitotenv.2012.04.067
|
[20] |
郑悦, 程方, 张凯, 等.保定市大气污染特征和潜在输送源分析[J]. 环境科学研究,2020,33(2):260-270. doi: 10.13198/j.issn.1001-6929.2019.04.24
ZHENG Y, CHENG F, ZHANG K, et al. Characteristics and potential transport source identification of atmospheric pollution in Baoding City[J]. Research of Environmental Sciences,2020,33(2):260-270. doi: 10.13198/j.issn.1001-6929.2019.04.24
|
[21] |
张逸扬, 周红根, 乔贺, 等.基于多源探测的南京市大气污染状况分析[J]. 环境科学研究,2021,34(10):2306-2315. doi: 10.13198/j.issn.1001-6929.2021.07.14
ZHANG Y Y, ZHOU H G, QIAO H, et al. Analysis of atmospheric pollution status over Nanjing based on multi-source detection[J]. Research of Environmental Sciences,2021,34(10):2306-2315. doi: 10.13198/j.issn.1001-6929.2021.07.14
|
[22] |
张敬巧,罗达通,王少博,等.聊城市秋季PM2.5中水溶性离子污染特征及来源解析[J]. 环境工程技术学报,2021,11(4):617-623. doi: 10.12153/j.issn.1674-991X.20200228
ZHANG J Q, LUO D T, WANG S B, et al. Pollution characteristics and source analysis of water-soluble ions in PM2.5 during autumn in Liaocheng City[J]. Journal of Environmental Engineering Technology,2021,11(4):617-623. doi: 10.12153/j.issn.1674-991X.20200228
|
[23] |
胡清华.福州地区冬春典型污染过程PM2.5特征及成因分析[J]. 中国环境监测,2020,36(3):49-58.
HU Q H. Characteristics and causes of typical pollution process in winter and spring in Fuzhou area[J]. Environmental Monitoring in China,2020,36(3):49-58.
|
[24] |
FANG X, ZOU B, LIU X P, et al. Satellite-based ground PM2.5 estimation using timely structure adaptive modeling[J]. Remote Sensing of Environment,2016,186:152-163. doi: 10.1016/j.rse.2016.08.027
|
[25] |
DRAXLER R. An overview of the HYSPLIT_4 modelling system for trajectories, dispersion, and deposition[J]. Australian Meteorological Magazine,1998,47:295-308.
|
[26] |
孔珊珊. 北京灰霾重污染过程典型案例剖析[D]. 济南: 山东师范大学, 2017.
|
[27] |
HU X, ZHANG Y, DING Z H, et al. Bioaccessibility and health risk of arsenic and heavy metals (Cd, Co, Cr, Cu, Ni, Pb, Zn and Mn) in TSP and PM2.5 in Nanjing, China[J]. Atmospheric Environment,2012,57:146-148.
|
[28] |
高阳, 韩永贵, 黄晓宇, 等.基于后向轨迹模式的豫南地区冬季PM2.5来源分布及传输分析[J]. 环境科学研究,2021,34(3):538-548.
GAO Y, HAN Y G, HUANG X Y, et al. PM2.5 source distribution and transmission in winter in southern Henan Province based on backward trajectory model[J]. Research of Environmental Sciences,2021,34(3):538-548.
|
[29] |
李颜君, 安兴琴, 范广洲.北京地区大气颗粒物输送路径及潜在源分析[J]. 中国环境科学,2019,39(3):915-927. doi: 10.3969/j.issn.1000-6923.2019.03.003
LI Y J, AN X Q, FAN G Z. Transport pathway and potential source area of atmospheric particulates in Beijing[J]. China Environmental Science,2019,39(3):915-927. doi: 10.3969/j.issn.1000-6923.2019.03.003
|
[30] |
WANG Y Q, ZHANG X Y, DRAXLER R R. TrajStat: GIS-based software that uses various trajectory statistical analysis methods to identify potential sources from long-term air pollution measurement data[J]. Environmental Modelling & Software,2009,24(8):938-939.
|
[31] |
GU J X, DU S Y, HAN D W, et al. Major chemical compositions, possible sources, and mass closure analysis of PM2.5 in Jinan, China[J]. Air Quality, Atmosphere & Health,2014,7(3):251-262.
|
[32] |
石小翠, 帕丽达·牙合甫, 宋思醒.乌鲁木齐市PM2.5中水溶性离子特征及来源分析[J]. 环境工程技术学报,2021,11(6):1049-1056. doi: 10.12153/j.issn.1674-991X.20210045
SHI X C, PALIDA Y H F, SONG S X. Characteristics and source analysis of water-soluble ions in PM2.5 in Urumqi City[J]. Journal of Environmental Engineering Technology,2021,11(6):1049-1056. doi: 10.12153/j.issn.1674-991X.20210045
|
[33] |
赵丽多, 任丽红, 李军, 等.云南省芒市春季PM2.5水溶性离子特征及来源分析[J]. 环境工程技术学报,2021,11(6):1057-1064. doi: 10.12153/j.issn.1674-991X.20210073
ZHAO L D, REN L H, LI J, et al. Characteristics and source analysis of water-soluble ions of PM2.5 during spring in Mang City, Yunnan Province[J]. Journal of Environmental Engineering Technology,2021,11(6):1057-1064. doi: 10.12153/j.issn.1674-991X.20210073
|
[34] |
李雁宇, 李杰, 曾胜兰, 等.2017年汾渭平原东部大气颗粒物污染特征分析[J]. 环境科学研究,2020,33(1):63-72. doi: 10.13198/j.issn.1001-6929.2019.06.16
LI Y Y, LI J, ZENG S L, et al. Analysis of atmospheric particulates in the eastern Fenwei plain in 2017[J]. Research of Environmental Sciences,2020,33(1):63-72. □ doi: 10.13198/j.issn.1001-6929.2019.06.16
|