2018年秋冬季长江三角洲区域PM<sub>2.5</sub>污染来源数值研究

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (2123 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract This paper used WRF-Chem and WRF-FLEXPART to quantify the source contribution to PM_2.5 of the Yangtze River Delta (YRD) region during fall and winter in 2018, especially during the cold air processes. The results showed that the contribution to PM_2.5 of the YRD region from inter-regional transport accounted for 15.9%, while the contribution from local emission and intra-regional transport accounted for 84.1%, which indicated that the influence of local emission and intra-regional pollution transport was much more significant than that of inter-regional transport. During cold air processes, the contribution to PM_2.5 in the YRD region from intra-regional transport increased to around 33.1%, approximately twice of the average contribution during the whole fall and winter in 2018. The contribution to each provincial region in the YRD region from both intra-and inter-regional transport ranged from 46.2% to 56.2%, among which the inter-regional transport ranged between 10.2% and 38.6%. They were significantly above the averages in the fall and winter. During cold air processes, the potential pollution transport pathways affecting the 4 major cities (Shanghai, Hefei, Nanjing and Hangzhou) was along the "mid-and-east pathway". The potential pollution contribution from external YRD regions to Shanghai and Nanjing were more than 30%, while that to Hangzhou was smallest at around 16.1%.

Key words： pollution source contribution pollution transport PM_2.5 WRF-Chem FLEXPART

Received: 04 February 2020

PACS:

X513

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	YU Zhong-qi
	QU Yuan-hao
	ZHOU Guang-qiang
	XU Jian-ming

Cite this article:

YU Zhong-qi,QU Yuan-hao,ZHOU Guang-qiang等. Numerical simulations of PM_2.5 pollution source in the Yangtze River Delta region in fall and winter in 2018[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(10): 4237-4246.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I10/4237

[1]	Sorensen M, Daneshvar B, Hansen M, et al. Personal PM2.5exposure and markers of oxidative stress in blood[J]. Environmental Health Perspectives, 2003,111(2):161-166.
[2]	杨新兴,冯丽华,尉鹏.大气颗粒物PM2.5及其危害[J]. 前沿科学, 2012,6(1):22-31. Yang X X, Feng L H, Wei P. Air particulate matter PM2.5 in Beijing and its harm[J]. Frontier Science, 2012,6(1):22-31.
[3]	郭新彪,魏红英.大气PM2.5对健康影响的研究进展[J]. 科学通报, 2013,58(13):1171-1177. Guo X B, Wei H Y. Progress on the health effects of ambient PM2.5 pollution[J]. Chinese Science Bulletin, 2013,58(13):1171-1177.
[4]	张小曳,孙俊英,王亚强,等.我国雾-霾成因及其治理的思考[J]. 科学通报, 2013,58(13):1178-1187. Zhang X Y, Sun J Y, Wang Y Q, et al. Factors contributing to haze and fog in China[J]. Chinese Science Bulletin, 2013,58(13):1178-1187.
[5]	潘本锋,汪巍,李亮,等.我国大中型城市秋冬季节雾霾天气污染特征与成因分析[J]. 环境与可持续发展, 2013,38(1):33-36. Pan B F, Wang W, Li L, et al. Analysis of the reason of formation and the characteristics of pollution about fog or haze at key cities in autumn and winter in China[J]. Environment and Sustainable Development, 2013,38(1):33-36.
[6]	杨洪斌,邹旭东,汪宏宇,等.大气环境中PM2.5的研究进展与展望[J]. 气象与环境学报, 2012,28(3):77-82. Yang H B, Zou X D, Wang H Y, et al. Study progress on PM2.5 in atmospheric environment[J]. Journal of Meteorology and Environment, 2012,28(3):77-82.
[7]	王跃思,姚利,刘子锐,等.京津冀大气霾污染及控制策略思考[J]. 中国科学院院刊, 2013,28(3):353-363. Wang X S, Yao L, Liu Z R, et al. Formation of haze pollution in Beijing-Tianjin-Hebei region and their control strategies[J]. Bulletin of Chinese Academy of Sciences, 2013,28(3):353-363.
[8]	任阵海,万本太,苏福庆,等.当前我国大气环境质量的几个特征[J]. 环境科学研究, 2004,17(1):1-6. Ren Z H, Wan B T, Su F Q, et al. Several characteristics of atmospheric environmental quality in China at present[J]. Research of Environmental Sciences, 2004,17(1):1-6.
[9]	吴兑.关于霾与雾的区别和灰霾天气预警的讨论[J]. 气象, 2005,31(4):3-7. Wu D. A discussion on difference between haze and fog and warning of ash haze weather[J]. Meteorological Monthly, 2005,31(4):3-7.
[10]	张恒德,吕梦瑶,张碧辉,等.2014年2月下旬京津冀持续重污染过程的静稳天气及传输条件分析[J]. 环境科学学报, 2016,36(12):4340-4351. Zhang H D, Lv M Y, Zhang B H, et al. Analysis of the stagnant meteorological situation and the transmission condition of continuous heavy pollution course from February 20 to 26, 2014 in Beijing-Tianjin-Hebei[J]. Acta Scientiae Circumstantiae, 2016,36(12):4340-4351.
[11]	苏福庆,任阵海,高庆先,等.北京及华北平原边界层大气中污染物的汇聚系统——边界层输送汇[J]. 环境科学研究, 2004,17(1):21-25,33. Su F Q, Ren Z H, Gao Q X, et al. Convergence system of air contamination in boundary layer above Beijing and North China:transportation convergence in boundary layer[J]. Research of Environmental Sciences, 2004,17(1):21-25,33.
[12]	吴兑,廖碧婷,吴蒙,等.环首都圈霾和雾的长期变化特征与典型个例的近地层输送条件[J]. 环境科学学报, 2014,34(1):1-11. Wu D, Liao B T, Wu M, et al. The long-term trend of haze and fog days and the surface layer transport conditions under haze weather in North China[J]. Acta Scientiae Circumstantiae, 2014,34(1):1-11.
[13]	吴兑,廖国莲,邓雪娇,等.珠江三角洲霾天气的近地层输送条件研究[J]. 应用气象学报, 2008,19(1):1-9. Wu D, Liao G L, Deng X J, et al. Transport condition of surface layer under haze weather over the Pearl River Delta[J]. Journal of Applied Meteorological Science, 2008,19(1):1-9.
[14]	Kang H, Zhu B, Gao J, et al. Potential impacts of cold frontal passage on air quality over the Yangtze River Delta, China[J]. Atmospheric Chemistry and Physics, 2019,19,3673-3685, https://doi.org/10.5194/acp-19-3673-2019.
[15]	李莉,蔡鋆琳,周敏.2013年12月中国中东部地区严重灰霾期间上海市颗粒物的输送途径及潜在源区贡献分析[J]. 环境科学, 2015,36(7):2327-2336. Li L, Cai J L, Zhou M. Potential source contribution analysis of the particulate matters in Shanghai during the heavy haze episode in Eastern and Middle China in December, 2013[J]. Environmental Science, 2015,36(7):2327-2336.
[16]	Chang X, Wang S, Zhao B, et al. Contributions of inter-city and regional transport to PM2.5 concentrations in the Beijing-Tianjin-Hebei region and its implications on regional joint air pollution control[J]. Science of the Total Environment, 2019,660:1191-1200.
[17]	李锋,朱彬,安俊岭,等.2013年12月初长江三角洲及周边地区重霾污染的数值模拟[J]. 中国环境科学, 2015,35(7):1965-1974. Li F, Zhu B, An J L, et al. Modeling study of a severe haze episode occurred over the Yangtze River Delta and its surrounding regions during early December, 2013[J]. China Environmental Science, 2015, 35(7):1965-1974.
[18]	薛文博,付飞,王金南,等.中国PM2.5跨区域传输特征数值模拟研究[J]. 中国环境科学, 2014,34(6):1361-1368. Xue W B, Fu F, Wang J N, et al. Numerical study on the characteristics of regional transport of PM2.5 in China[J]. China Environmental Science, 2014,34(6):1361-1368.
[19]	李岩,安兴琴,姚波,等.北京地区FLEXPART模式适用性初步研究[J]. 环境科学学报, 2010,30(8):1674-1681. Li Y, An X Q, Yao B, et al. A preliminary study on the applicability of the FLEXPART model to Beijing[J]. Acta Scientiae Circumstantiae, 2010,30(8):1674-1681.
[20]	余钟奇,马井会,曹钰,等.影响上海PM2.5污染不同源地和路径的数值模拟[J]. 中国环境科学, 2019,39(1):21-31. Yu Z Q, Ma J H, Cao Y, et al. Numerical simulations of sources and transport pathways of different PM2.5 pollution types in Shanghai[J]. China Environmental Science, 2019,39(1):21-31.
[21]	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. Analysis of air pollutant transport in winter in Lanzhou[J]. Research of Environmental Sciences, 2015,28(4):509-516.
[22]	王燕丽,薛文博,雷宇,等.京津冀区域PM2.5污染相互输送特征[J]. 环境科学, 2017,38(12):4897-4904. Wang Y L, Xue W B, Lei Y, et al. Regional transport matrix study of PM2.5 in Jingjinji Region, 2015[J]. Environmental Science, 2017, 38(12):4897-4904.
[23]	王文丁,陈焕盛,吴其重,等.珠三角冬季PM2.5重污染区域输送特征数值模拟研究[J]. 环境科学学报, 2016,36(8):2741-2751. Wang W D, Chen H S, Wu Q Z, et al. Numerical study of PM2.5 regional transport over Pearl River Delta during a winter heavy haze event[J]. Acta Scientiae Circumstantiae, 2016,36(8):2741-2751.
[24]	吕炜,李金凤,王雪松,等.长距离污染传输对珠江三角洲区域空气质量影响的数值模拟研究[J]. 环境科学学报, 2015,35(1):30-41. Lv W, Li J F, Wang X S, et al. Numerical modeling on the impact of long-range transport of air pollutants on the regional air quality in the Pearl River Delta[J]. Acta Scientiae Circumstantiae, 2015,35(1):30-41.
[25]	王艳,柴发合,王永红,等.长江三角洲地区大气污染物输送规律研究[J]. 环境科学, 2008,29(5):1430-1435. Wang Y, Chai F H, Wang Y H, et al. Transport characteristics of air pollutants over the Yangtze Delta[J]. Environmental Science, 2008, 29(5):1430-1435.
[26]	安静宇.长三角地区冬季大气细颗粒物来源追踪模拟研究[D]. 上海:东华大学, 2015. An J Y. Source apportionment of fine particles in the Yang River Delta Region in winter season based on air quality simulation[D]. Shanghai:Donghua University, 2015.
[27]	李莉,安静宇,严茹莎.基于细颗粒物来源追踪技术的2013年12月上海市严重污染过程中PM2.5的源贡献分析[J]. 环境科学, 2015, 36(10):3543-3553. Li L, An J Y, Yan R S. Source contribution analysis of the fine particles in Shanghai during a heavy haze episode in December, 2013based on the particulate matter source apportionment technology[J]. Environmental Science, 2015,36(10):3543-3553.
[28]	钱俊龙,牛文胜,查书瑶,等.外来输送对江苏冬季PM2.5贡献的数值模拟研究[J]. 热带气象学报, 2019,35(5):673-680. Qian J L, Niu W S, Zha S Y, et al. A numerical simulation study on the contribution of pollution transport to PM2.5 in Jiangsu during wintertime[J]. Journal of Tropical Meteorology, 2019,35(5):673-680.
[29]	Grell G, Peckham S, Schmitz R, et al. Fully coupled "online" chemistry within the WRF model[J]. Atmospheric Environment, 2005, 39:6957-6975.
[30]	Skamarock W C, Klemp J B, Dudhia J, et al. A description of the advanced research WRF version 2[R]. Colorado:National Center for Atmospheric Research, 2005,1-74.
[31]	Tie X, Geng F, Peng L, et al. Measurement and modeling of O3 variability in Shanghai, China:Application of the WRF-Chem model[J]. Atmospheric Environment, 2009,43(28):4289-4302.
[32]	周广强,耿福海,许建明,等.上海地区臭氧数值预报[J]. 中国环境科学, 2015,35(6):1601-1609. Zhou G Q, Geng F H, Xu J M, et al. Numerical ozone forecasting over shanghai[J]. China Environmental Science, 2015,35(6):1601-1609.
[33]	周广强,谢英,吴剑斌,等.基于WRF-Chem模式的华东区域PM2.5预报及偏差原因[J]. 中国环境科学, 2016,36(8):2251-2259. Zhou G Q, Xie Y, Wu J B, et al. WRF-Chem based PM2.5 forecast and bias analysis over the East China Region[J]. China Environmental Science, 2016,36(8):2251-2259.
[34]	Zhang, Y, Zhu B, Gao J, et al. The source apportionment of primary PM2.5 in an aerosol pollution event over Beijing-Tianjin-Hebei Region using WRF-Chem, China[J]. Aerosol and Air Quality Research, 2017,17(12):2966-2980.
[35]	杨关盈,邓学良,周广强,等.基于WRF-Chem模式的PM2.5预报效果评估[J]. 气象科技, 2018,46(1):84-91. Yang G Y, Deng X L, Zhou G Q, et al. Evaluation of PM2.5 forecast performance based on WRF-Chem Model[J]. Meteorological Science and Technology, 2018,46(1):84-91.
[36]	Seibert P, Frank A. Source-receptor matrix calculation with a Lagrangian particle dispersion model in backward mode[J]. Atmospheric Chemistry and Physics, 2004,4:51-63.
[37]	Stohl A, Forster C, Frank A, et al. Technical note:The lagrangian particle dispersion model FLEXPART version6.2[J]. Atmospheric Chemistry and Physics, 2005,5(9):2461-2474.
[38]	Stohl A, Forster C, Eckhardt S, et al. A backward modeling study of intercontinental pollution transport using aircraft measurements[J]. Journal of Geophysical Research, 2003,108(D12):4370-4377.
[39]	Halse A K, Eckhardt S, Schlabach M, et al. Forecasting long-range atmospheric transport episodes of polychlorinated biphenyls using FLEXPART[J]. Atmospheric Environment, 2013,71(2):335-339.
[40]	Foy B, Zavala M, Bei N, et al. Evaluation of WRF mesoscale simulations and particle trajectory analysis for the MILAGRO field campaign[J]. Atmospheric Chemistry and Physics, 2009,9(13):4419-4438.
[41]	常炉予,许建明,周广强,等.上海典型持续性PM2.5重度污染的数值模拟[J]. 环境科学, 2016,37(3):38-46. Chang L Y, Xu J M, Zhou G Q, et al. A numerical study of typical heavy air pollution episode of PM2.5 in Shanghai[J]. Environmental Science, 2016,37(3):825-833.
[42]	Zhou G, Xu J, Xie Y, et al. Numerical air quality forecasting over Eastern China:An operational application of WRF-Chem[J]. Atmospheric Environment, 2017,153:94-108.
[43]	陈赛华,周广强,朱彬,等.一种快速定量估计大气污染物来源的方法[J]. 环境科学学报, 2017,37(7):2474-2481. Chen S H, Zhou G Q, Zhu B, et al. A method for fast quantification of air pollutant sources[J]. Acta Scientiae Circumstantiae, 2017,37(7):2474-2481.
[44]	程真.长三角城市群灰霾污染与颗粒物理化性质的关系[D]. 北京:清华大学, 2013. Cheng Z. Relationship between haze pollution and aerosol properties in the Yangtze River Delta of China[D]. Beijing:Tsinghua University, 2013.
[45]	戴竹君,刘端阳,王宏斌,等.江苏秋冬季重度霾的分型研究[J]. 气象学报, 2016,74(1):133-148. Dai Z J, Liu D Y, Wang H B, et al. The classification study of the heavy haze during autumn and winter of Jiangsu[J]. Journal of Meteorological Research, 2016,74(1):133-148.
[46]	朱乾根,林锦瑞,寿绍文,等.天气学原理和方法[M]. 北京:气象出版社, 2000. Zhu Q G, Lin J R, Shou S W, et al. Principles and methods of Meteorology[M]. Beijing:China Meteorological Press, 2000.
[47]	Li R, Mei X, Wei L, et al. Study on the contribution of transport to PM2.5 in typical regions of China using the regional air quality model RAMS-CMAQ[J]. Atmospheric Environment, 2019,214,116856.
[48]	李国琛.全球气候变暖成因分析[J]. 自然灾害学报, 2005,14(5):42-46. Li G C. Cause analysis global clmiate warming[J]. Journal of Natural Disasters, 2005,14(5):42-46.
[49]	陈朝晖,程水源,苏福庆,等.华北区域大气污染过程中天气型和输送路径分析[J]. 环境科学研究, 2008,21(1):17-21. Chen C H, Cheng S Y, Su F Q, et al. Analysis of synoptic patterns and transports during regional atmospheric pollution process in North China[J]. Research of Environmental Sciences, 2008,21(1):17-21.
[50]	吴兑,吴晟,李菲,等.粗粒子气溶胶远距离输送造成华南严重空气污染的分析[J]. 中国环境科学, 2011,31(4):540-545. Wu D, Wu S, Li F, et al. Air pollution episode in southern China due to the long range transport of coarse particle aerosol[J]. China Environmental Science, 2011,31(4):540-545.
[51]	周述学,王兴,弓中强,等.长江三角洲西部地区PM2.5输送轨迹分类研究[J]. 气象学报, 2017,75(6):996-1010. Zhou S X, Wang X, Gong Z Q, et al. Transport patterns of PM2.5 in the western Yangtze River Delta district, China[J]. Acta Meteorologica Sinica, 2017,75(6):996-1010.