2015~2019年日照市PM2.5长期变化特征及其潜在源区分析

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

PDF(2298 KB)

中国环境科学 ›› 2021, Vol. 41 ›› Issue (9) : 3969-3980.

大气污染与控制

2015~2019年日照市PM_2.5长期变化特征及其潜在源区分析

王中杰^1,2,3, 霍娟², 杜惠云¹, 王大玮^1,4, 李杰^1,3,4, 张传兵⁵, 张涛⁶, 王威⁷, 王海波^1,3, 杨文夷^1,4

作者信息 +

Long term characteristics and potential sources of PM_2.5 in Rizhao City from 2015 to 2019

WANG Zhong-jie^1,2,3, HUO Juan², DU Hui-yun¹, WANG Da-wei^1,4, LI Jie^1,3,4, ZHANG Chuan-bing⁵, ZHANG Tao⁶, WANG Wei⁷, WANG Hai-bo^1,3, YANG Wen-yi^1,4

Author information +

文章历史 +

摘要

利用2015~2019年山东省日照市PM_2.5质量浓度和气象要素的小时数据，对日照市PM_2.5季节污染特征和日照市海陆风特征进行了分析，并基于HYSPLIT模式计算了5年逐日02：00、08：00、14：00和20：00（BTC）的48h后向轨迹，不仅通过轨迹聚类分析和潜在源区分析探讨了日照市不同季节PM_2.5主要传输路径和其轨迹污染特征及其潜在源区分布和贡献，也分析了海陆风对日照市污染物的影响.结果表明：日照市PM_2.5呈现冬季最高、夏季最低的分布特征，监测站点颗粒物浓度在偏西北风影响下较高.日照市不同季节主要输送路径存在差异：春季主要受到偏东和偏北方向气流影响；夏季在副热带高压影响下主要受到来自海上的较为清洁的偏东气流影响；秋季主要受到西北和偏东气流影响；冬季主要受西北和偏北气流影响.整体而言，不同季节受偏西至偏南气流影响时，日照市对应的PM_2.5浓度较高.日照市海陆风春秋季多，夏冬季少；在海陆风影响下，日照市PM_2.5_污染和臭氧污染呈现不同的分布特征，且在不同PM_2.5污染等级下，PM_2.5浓度日变化特征也与其在非海陆风日的日变化有所差异.污染潜在源区分析结果表明，日照市最主要的潜在源区位于山东省临沂市、潍坊市、青岛市和江苏省连云港市.

Abstract

Based on the hourly data of PM_2.5 concentrations and meteorological elements in Rizhao City during 2015 to 2019, the seasonal characteristics of PM_2.5 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 PM_2.5 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 PM_2.5 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 PM_2.5 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 PM_2.5 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 PM_2.5 and ozone pollution in Rizhao City present different distribution characteristics, and under different PM_2.5 pollution levels, the daily variation characteristics of PM_2.5 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.

导出引用

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PM_2.5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 PM_2.5 in Rizhao City from 2015 to 2019[J]. China Environmental Science. 2021, 41(9): 3969-3980

中图分类号： X573

参考文献

[1] 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PM_2.5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 PM_2.5 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PM_2.5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 PM_2.5 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PM_2.5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 PM_2.5 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PM_2.5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 PM_2.5 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 PM_2.5 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 PM_2.5 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PM_2.5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 PM_2.5 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PM_2.5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. PM_2.5 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 PM_2.5 air quality in Beijing, China during 2013~2018[J]. Journal of Environmental Management, 2020:10.1016lj.jenvman.2020.110263.