Long term characteristics and potential sources of PM2.5 in Rizhao City from 2015 to 2019
WANG Zhong-jie1,2,3, HUO Juan2, DU Hui-yun1, WANG Da-wei1,4, LI Jie1,3,4, ZHANG Chuan-bing5, ZHANG Tao6, WANG Wei7, WANG Hai-bo1,3, YANG Wen-yi1,4
1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 2. Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 3. University of Chinese Academy of Sciences, Beijing 100049, China; 4. CAS Center for Excellence in Regional Atmospheric Environment, Xiamen 361021, China; 5. Rizhao Environmental Monitoring Centre, Rizhao 276800, China; 6. Rizhao Eco Environmental Protection Service Centre, Rizhao 276800, China; 7. China National Environmental Monitoring Centre, Beijing 100012, China
Abstract：Based on the hourly data of PM2.5 concentrations and meteorological elements in Rizhao City during 2015 to 2019, the seasonal characteristics of PM2.5 and its relationship with wind speed and wind direction were analyzed. Also, the characteristics of sea-land in Rizhao City were summarized. Combined with HYSPLIT model and GDAS data, the 48h backward trajectories of PM2.5 concentrations at 02:00, 08:00, 14:00 and 20:00 (BTC) every day in five years were calculated. The main transport pathways and potential source contribution of PM2.5 concentrations in different seasons were discussed by cluster analysis and potential source contribution analysis. The influence of sea-land wind on pollutants in Rizhao City was also analyzed. The results showed that the seasonal characteristics of PM2.5 concentrations in Rizhao City was the highest in winter and the lowest in summer. The particles concentrations of the monitoring station is higher under the influence of northwest wind. There are differences in the main transport routes in different seasons in Rizhao:in spring, it is mainly affected by the easterly and northerly airflow; in summer, it is mainly affected by the cleaner easterly airflow from the sea under the influence of subtropical high system; in autumn, it is mainly affected by the northwest and easterly airflow; in winter, it is mainly affected by the northwest and northerly airflow. On the whole, the PM2.5 concentrations of Rizhao City is higher in different seasons affected by the westerly to southerly airflow. The sea-land wind days are more in spring and autumn,less in summer and winter. Under the influence of sea-land wind, the PM2.5 and ozone pollution in Rizhao City present different distribution characteristics, and under different PM2.5 pollution levels, the daily variation characteristics of PM2.5 concentrations are also different from those in normal days.The results show that the main potential source areas of Rizhao are Linyi City, Weifang City, Qingdao city and Lianyungang City of Jiangsu Province.
王中杰, 霍娟, 杜惠云, 王大玮, 李杰, 张传兵, 张涛, 王威, 王海波, 杨文夷. 2015~2019年日照市PM2.5长期变化特征及其潜在源区分析[J]. 中国环境科学, 2021, 41(9): 3969-3980.
WANG Zhong-jie, HUO Juan, DU Hui-yun, WANG Da-wei, LI Jie, ZHANG Chuan-bing, ZHANG Tao, WANG Wei, WANG Hai-bo, YANG Wen-yi. Long term characteristics and potential sources of PM2.5 in Rizhao City from 2015 to 2019. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(9): 3969-3980.
Ning G C, Steve H L Y, Yang Y J, et al. Modulations of synoptic and climatic changes on ozone pollution and its health risks in mountain-basin areas[J]. Atmospheric Environment, 2020,240.
[2]
王桂芝,武灵艳,陈纪波,等.北京市PM2.5污染健康经济效应的CGE分析[J]. 中国环境科学, 2017,37(7):2779-2785.Wang G Z, Wu L Y, Chen J B, et al. CGE analysis of health economic effects of PM2.5 pollution in Beijing[J]. China Environmental Science, 2017, 37(7):2779-2785.
[3]
徐楠,王甜甜,李晓,等.北京冬季PM2.5中有机气溶胶的化学特征和来源解析[J]. 环境科学, 2021,42(5):2101-2109.Xu N, Wang T T, Li X, et al. Chemical characteristics and source apportionment of organic aerosols in PM2.5 in winter in Beijing[J]. Environmental Science, 2021,42(5):2101-2109.
[4]
张众志,唐伟,杜晓惠,等.气象因素对"2+26"城市春节期间PM2.5污染影响模拟研析[J]. 环境影响评价, 2020,42(6):6-10,69.Zhang Z Z, Tang W, Du X H, et al. Influence of meteorological factors on PM2.5 pollution during spring festival in "2+26" cities[J]. Environmental Impact Assessment, 2020,42(6):6-10,69.
[5]
李瑞,李清,徐健,等.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, 2020,41(4):1520-1534.Li R, Yi C, Xu J, et al. Effects of regional air pollution processes in autumn and winter on typical cities in northern Yangtze River[J]. Environmental Science, 2020,41(4):1520-1534.
[6]
王海波,杨婷,王自发,等."2+26"城市2017年冬防减排效果及其潜在原因分析——以衡水市为例[J]. 环境科学学报, 2019,39(11):3639-3647.Wang H B, Yang T, Wang Z F, et al. Analysis of the effect of winter air pollution prevention and control in the "2+26" cities in 2017 and its potential reasons-Taking Hengshui City as an example[J]. Acta Scientiae Circumstantiae[J]. 2019,39(11):3639-3647.
[7]
蒋琦清,陈文聪,徐冰烨,等.杭州城区大气颗粒物污染特征及PM2.5潜在源区研究[J]. 中国环境监测, 2020,36(5):88-95.Jiang Q Q, Chen W C, Xu B Y, et al. The characteristics of atmospheric particles and potential sources of PM2.5 in urban Hangzhou[J]. Environmental Monitoring in China, 2020,36(5):88-95.
[8]
闫世明,王雁,郭伟,等.太原市秋冬季大气污染特征和输送路径及潜在源区分析[J]. 环境科学, 2019,40(11):4801-4809.Yan S M, Wang Y, Guo W, et al. Characteristics, transportation, pathways, and potential sources of air pollution during autumn and winter in Taiyuan[J]. Environmental Science, 2019,40(11):4801-4809.
[9]
陈莹莹,施建成,杜今阳,等.基于GLDAS的中国区地表能量平衡数值试验[J]. 水科学进展, 2009,20(1):25-31.Chen Y Y, Shi J C, Du J Y, et al. Numerical experiments of surface energy balance over China area based on GLDAS[J]. Advances IN Water Science, 2009,20(1):25-31.
[10]
Su L, Yuan Z B, Fung J C H, et al. A comparison of HYSPLIT backward trajectories generated from two GDAS datasets[J]. Science of the Total Environment, 2015,506:527-537.
[11]
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 and Software, 2009,24(8):938-939.
[12]
Schäfer K, Wang Y S, Münkel C, et al. Evaluation of continuous ceilometer-based mixing layer heights and correlations with PM2.5 concentrations in Beijing[R]. http://dx.doi.org/10.1117/12.830430, 2009-09-24.
[13]
Sun Y, Song T, Tang G Q, et al. The vertical distribution of PM2.5 and boundary-layer structure during summer haze in Beijing[J]. Atmospheric Environment, 2013,74:413-421.
[14]
曾鹏,辛存林,于奭,等.典型西南工业城市春冬季PM2.5来源与潜在源区分析——以柳州市为例[J]. 中国环境科学, 2020,40(9):3781-3790.Zeng P, Xin C L, Yu S, et al. Analysis of PM2.5 sources and potential source areas of typical industrial city in spring and winter:A case study in Liuzhou[J]. China Environmental Science, 2020,40(9):3781-3790.
[15]
Wang Y Q, Zhang X Y, Arimoto R. The contribution from distant dust sources to the atmospheric particulate matter loadings at XiAn, China during spring[J]. Science of the Total Environment, 2006,368(2):875-883.
[16]
闫世明,王雁,郭伟,等.太原市秋冬季大气污染特征和输送路径及潜在源区分析[J]. 环境科学, 2019,40(11):4801-4809.Yan S M, Wang Y, Guo W, et al. Characteristics and transportation pathways and potential sources of air pollution during autumn and winter in Taiyuan[J]. Environmental Science, 2019,40(11):4801-4809.
[17]
马庆鑫,马金珠,楚碧武,等.矿质和黑碳颗粒物表面大气非均相反应研究进展[J]. 科学通报, 2015,60(2):122-136.Ma Q X, Ma J Z, Chu B W, et al. Current progress towards the heterogeneous reactions on mineral dust and soot (in Chinese)[J]. Chin. Sci. Bull., 2015,60(2):122-136.
[18]
叶春翔,李宏军,朱彤,等.海盐颗粒物表面的NO2非均相反应[J]. 中国科学:化学, 2010,40(12):1765-1771.Ye C X, Li Z J, Zhu T, et al. Heterogeneous reaction of NO2 on the surface of sea salt particles[J]. Chinese Science:Chemistry, 2010, 40(12):1765-1771.
[19]
颜鹏,潘小乐,汤洁,等.北京市区大气气溶胶散射系数亲水增长的观测研究[J]. 气象学报, 2008,66(1):111-119.Yan P, Pan X L, Tang J, et al. An observational study on the hydrophilic growth of aerosol scattering coefficient in Beijing urban area[J]. Journal of Meteorology, 2008,66(1):111-119.
[20]
刘娜,余晔,何建军,等.兰州冬季大气污染来源分析[J]. 环境科学研究, 2015,28(4):509-516.Liu N, Yu Y, He J J, et al. Source analysis of winter air pollution in Lanzhou[J]. Environmental Science, 2015,28(4):509-516.
[21]
刘娜,余晔,马学谦.西宁市大气污染来源和输送季节特征[J]. 环境科学, 2021,42(3):1268-1279.Liu N, Yu Y, Ma X Q. Seasonal characteristics of source and transport of air pollution in Xining[J]. Environmental Science, 2021,42(3):1268-1279.
[22]
杜艳伟,程建光,吴一钢,等.青岛市外源PM2.5传输路径及潜在污染源区[J]. 城市环境与城市生态, 2015,28(4):11-14.Du Y W, Chen J G, Wu Y G, et al. PM2.5 transmission path and potential pollution source area in Qingdao City[J]. Urban Environment and Urban Ecology, 2015,28(4):11-14.
[23]
王坚,赵丽娟.厦门海陆风环流特征与环境空气质量影响研究[J]. 环境科学与管理, 2017,42(6):30-33.Wang J, Zhao L J. The characteristics of sea-land breeze circulation and the influence of ambient air quality in Xiamen[J]. Environmental Science, 2017,42(6):30-33.
[24]
Dimitra Boucouvala, Robert Bornstein. Analysis of transport patterns during an SCOS97-NARSTO episode[J]. Atmospheric Environment, 2003,37(S2):73-94.
[25]
王玉国,吴增茂,常志清.辽东湾西岸海陆风特征分析[J]. 海洋预报, 2004,3:57-63.Wang Y G, Wu Z M, Chang Z Q. Analysis of the characteristics of sea-land breeze on the west coast of Liaodong Bay[J]. Ocean Forecast, 2004,3:57-63.
[26]
庄子善,郑美琴,王继秀,等.日照沿海海陆风的气候特点及其对天气的影响[J]. 气象, 2005,(9):66-70.Zhuang Z S, Zheng M Q, Wang J X, et al. Climatic characteristics of coastal sea-land breeze in Rizhao and its influence on weather[J]. Meteorology, 2005,(9):66-70.
[27]
Xu Xiaohong, Zhang Tianchu. Spatial-temporal variability of PM2.5 air quality in Beijing, China during 2013~2018[J]. Journal of Environmental Management, 2020:10.1016lj.jenvman.2020.110263.
