Welcome to Journal of University of Chinese Academy of Sciences,Today is
Research Articles

Transport pathways and potential source regions of PM2.5 in Wuhai City of northwest arid area

  • YU Chuang ,
  • CHEN Wei ,
  • ZHANG Yuxiu
Expand
  • 1. School of Chemical and Environmental Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China;
    2. College of Geoscience and Surveying Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China

Received date: 2020-09-19

  Revised date: 2020-11-27

  Online published: 2020-11-27

Abstract

Wuhai was one of the major coal industry cities in northwest arid area of China, the concentration variation characteristics, transport pathways, and the potential source regions of PM2.5 were unclear. The transport pathways and the potential source regions of PM2.5 in Wuhai were discussed by cluster analysis, potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) methods based on the hourly monitoring data of PM2.5 mass concentration in Wuhai from 2016 to 2018. Results showed that the average annual concentration of PM2.5 had a downward trend during 2016-2018, with the highest concentration in winter and the lowest in summer. Cluster analysis showed that the northwesterly pathways were the major transport pathway of PM2.5 for all seasons. The long-distance transport airflow mostly occurred in spring, autumn, and winter, the concentration of PM2.5 in four trajectories was about 97.96-151.33μg·m-3, while the short-distance transport airflow was main pathway in summer, its concentration of PM2.5 was about 87.11-96.88μg·m-3. The PSCF and CWT analysis indicated that the potential source regions of PM2.5 were the largest in winter, mainly occurred in Kumtag Desert, Qaidam Basin, Tengger Desert, Badain Jaran Desert, and Hexi Corridor Area. The main potential source regions in spring and autumn were located in Kumtag Desert, and Hexi Corridor Area. The potential source region was the smallest in summer, mainly came from Hexi Corridor Area. During the heavy pollution period, the main transport pathways of PM2.5 came from northwest also, the potential source regions were mainly located in the border area of Qinghai and Gansu, parts of eastern Xinjiang and southern Wuhai. These results showed that the potential source regions of PM2.5 in Wuhai were mainly located in the northwest arid desert area. Therefore, the implementation of wind prevention, sand fixation, and desertification control could effectively improve the air quality of Wuhai and the northwestern area of China.

Cite this article

YU Chuang , CHEN Wei , ZHANG Yuxiu . Transport pathways and potential source regions of PM2.5 in Wuhai City of northwest arid area[J]. Journal of University of Chinese Academy of Sciences, 2022 , 39(1) : 43 -54 . DOI: 10.7523/j.ucas.2020.0055

References

[1] 刘小真, 任羽峰, 刘忠马, 等. 南昌市大气颗粒物污染特征及PM2.5来源解析[J]. 环境科学研究, 2019, 32(9):1546-1555.
[2] 龙启超, 陈军辉, 廖婷婷, 等. 乐山市2016年冬季颗粒物重污染过程与输送路径及潜在源区[J]. 环境科学研究, 2019, 32(2):263-272.
[3] 刘世玺, 安俊琳, 朱彬, 等. 远距离输送作用对南京大气污染的影响[J]. 生态环境学报, 2010, 19(11):2629-2635.
[4] 张志刚, 高庆先, 韩雪琴, 等. 中国华北区域城市间污染物输送研究[J]. 环境科学研究, 2004, 17(1):14-20.
[5] 陈燕, 蒋维楣, 郭文利, 等. 珠江三角洲地区城市群发展对局地大气污染物扩散的影响[J]. 环境科学学报, 2005, 25(5):700-710.
[6] Liu B S, Sun X Y, Zhang J Y, et al. Characterization and spatial source apportionments of ambient PM10 and PM2.5 during the heating period in Tianjin, China[J]. Aerosol and Air Quality Research, 2020, 20(1):1-13.
[7] Pu W W, Shi X F, Wang L L, et al. Potential source regions of air pollutants at a regional background station in Northern China[J]. Environmental Technology, 2019, 40(26):3412-3421.
[8] 姜雨, 刘迎云, 宗梁, 等. 衡阳市冬季PM2.5外来输送特征及潜在源分析[J]. 环境工程, 2019, 37(7):142-147.
[9] 严晓瑜, 缑晓辉, 武万里, 等. 银川地区大气颗粒物输送路径及潜在源区分析[J]. 环境科学学报, 2018, 38(5):1727-1738.
[10] 荣立明, 张成梁, 王妍, 等. 乌海市露天煤矿生态环境现状分析及治理对策[J]. 内蒙古林业, 2018(4):21-23.
[11] 周闯. 乌海及周边地区大气污染治理科技对策研究[J]. 科学管理研究, 2017, 35(2):70-72, 99.
[12] Song X Y, Yang S S, Shao L Y, et al. PM10 mass concentration, chemical composition, and sources in the typical coal-dominated industrial city of Pingdingshan, China[J]. Science of The Total Environment, 2016, 571:1155-1163.
[13] 吴红璇, 史常青, 张艳, 等. 乌海市煤矿区及周边春季降尘污染特征及来源分析[J]. 环境科学, 2020, 41(3):1167-1175.
[14] 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.
[15] 雷雨, 张小玲, 康平, 等. 川南自贡市大气颗粒物污染特征及传输路径与潜在源分析[J]. 环境科学, 2020, 41(7):3021-3030.
[16] 刘娜, 余晔, 陈晋北, 等. 兰州春季沙尘过程PM10输送路径及其潜在源区[J]. 大气科学学报, 2012, 35(4):477-486.
[17] 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.
[18] 张晗宇, 程水源, 姚森, 等. 2016年10-11月期间北京市大气颗粒物污染特征与传输规律[J]. 环境科学, 2019, 40(5):1999-2009.
[19] 符传博, 丹利, 唐家翔, 等. 基于轨迹模式分析海口市大气污染的输送及潜在源区[J]. 环境科学学报, 2020, 40(1):36-42.
[20] 王醒, 李莉莉, 王琨, 等. 哈尔滨市一次大气污染过程及潜在源分析[J]. 中国环境科学, 2019, 39(11):4502-4510.
[21] 刘贤, 李月臣, 何君, 等. 重庆市冬季PM2.5输送特征及污染源地解析[J]. 环境科学与技术, 2018, 41(9):134-141.
[22] Pan L, Che H Z, Geng F H, et al. Aerosol optical properties based on ground measurements over the Chinese Yangtze Delta Region[J]. Atmospheric Environment, 2010, 44(21/22):2587-2596.
[23] 张江华, 许慧慧, 东春阳, 等. 2018年上海市PM2.5的时空变异特征[J]. 环境与职业医学, 2020, 37(4):314-320.
[24] 卢文, 王红磊, 朱彬, 等. 南京江北2014-2016年PM2.5质量浓度分布特征及气象和传输影响因素分析[J]. 环境科学学报, 2019, 39(4):1039-1048.
[25] 刘克利, 王晓丽, 李杨, 等. 乌海市空气污染特征及其与气象要素的关系[J]. 环境科学与技术, 2012, 35(S1):399-401, 486.
[26] 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.
[27] Li J, Garshick E, Al-Hemoud A, et al. Impacts of meteorology and vegetation on surface dust concentrations in Middle Eastern countries[J]. Science of The Total Environment, 2020, 712:136597.
[28] 刘慧, 夏敦胜, 陈红, 等. 2017年兰州市大气污染物输送来源及传输特征模拟分析[J]. 环境科学研究, 2019, 32(6):993-1000.
[29] 黄光球, 雷哲. 西安市大气颗粒物PM2.5的输送路径和潜在源分析[J]. 云南大学学报(自然科学版), 2019, 41(6):1191-1200.
[30] 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.
[31] Yang Y R, Liu X G, Qu Y, et al. Characteristics and formation mechanism of continuous hazes in China:a case study during the autumn of 2014 in the North China Plain[J]. Atmospheric Chemistry and Physics, 2015, 15(14):8165-8178.
[32] 任浦慧, 解静芳, 姜洪进, 等. 太原市大气PM2.5季节传输路径和潜在源分析[J]. 中国环境科学, 2019, 39(8):3144-3151.
[33] 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.
[34] Dimitriou K, Kassomenos P. Combining AOT, Angstrom Exponent and PM concentration data, with PSCF model, to distinguish fine and coarse aerosol intrusions in Southern France[J]. Atmospheric Research, 2016, 172/173:74-82.
[35] Liao T T, Wang S, Ai J, et al. Heavy pollution episodes, transport pathways and potential sources of PM2.5 during the winter of 2013 in Chengdu (China)[J]. Science of the Total Environment, 2017, 584/585:1056-1065.
[36] An Z, Huang R J, Zhang R, et al. Severe haze in Northern China:a synergy of anthropogenic emissions and atmospheric processes[J]. Proceedings of the National Academy of Sciences of the United States of America, 2019, 116(18):8657-8666.
[37] 李捷. 柴达木沙漠公路排水体系研究[J]. 公路, 2014, 59(10):87-94.
[38] 刘洪霞, 冯益明, 曹晓明, 等. 荒漠生态系统大数据资源平台建设与服务[J]. 干旱区资源与环境, 2018, 32(9):126-131.
[39] 刘婵, 赵文智, 刘冰, 等. 基于无人机和MODIS数据的巴丹吉林沙漠植被分布特征与动态变化研究[J]. 中国沙漠, 2019, 39(4):92-102.
[40] 石薇, 王新平, 张亚峰. 腾格里沙漠人工固沙植被区浅层土壤水分对降水和生物结皮的响应[J]. 中国沙漠, 2018, 38(3):600-609.
[41] 郭蒙蒙, 姜楠, 王申博, 等. 郑州市2014-2017年大气污染特征及气象条件影响分析[J]. 环境科学, 2019, 40(9):3856-3867.
Outlines

/