{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T15:26:10Z","timestamp":1785770770020,"version":"3.56.0"},"reference-count":41,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T00:00:00Z","timestamp":1599696000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Air pollution has attracted increasing attention in recent years. Cluster analysis, scene analysis, and the potential source contribution function (PSCF), based on the backward trajectory model, were used to identify the transport pathways and potential source regions of PM2.5 and PM10 (particulate matter with an aerodynamic diameter of not more than 2.5 \u00b5m and 10 \u00b5m) in Changchun in 2018. In addition, the PSCF was slightly improved. The highest average monthly concentrations of PM2.5 and PM10 appeared in March and April, when they reached 53.9\u03bcg\/m3 and 120.0 \u03bcg\/m3, respectively. The main potential source regions of PM2.5 and PM10 were generally similar: western Jilin Province, northwestern Inner Mongolia, northeastern Liaoning Province, and the Yellow Sea region. The secondary potential source regions were southern Russia, central Mongolia, western Shandong Province, eastern Hebei Province, and eastern Jiangsu Province. The northwest and southwest directions were found to be the two pathways that mainly affect the air quality of Changchun City. Moreover, the northwestern pathway had a larger potential contribution source area than the southwestern pathway. The airflow in the southwest direction came from Liaoning Province, Shandong Province, and the Yellow Sea region. This mainly occurred in summer; its transmission distance was short; it had a relatively higher weight potential source contribution function (WPSCF) value; it can be regarded as a local source; and its representative pollutants were SO2 (sulfur dioxide), CO (carbon monoxide), and O3 (ozone). The northwestern pathway passed through Russia, Mongolia, and Inner Mongolia. The transmission distance of this pathway was longer; it had a relatively lower WPSCF value; it can be considered as a natural source to a certain extent; it mainly occurred in autumn and, especially, in winter; and the representative pollutants of this pathway were NO (nitric oxide), NOx (nitrogen oxide), PM2.5, and PM10.<\/jats:p>","DOI":"10.3390\/ijerph17186585","type":"journal-article","created":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T09:10:09Z","timestamp":1599729009000},"page":"6585","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Pollution Characteristics, Transport Pathways, and Potential Source Regions of PM2.5 and PM10 in Changchun City in 2018"],"prefix":"10.3390","volume":"17","author":[{"given":"Fanhao","family":"Meng","sequence":"first","affiliation":[{"name":"College of New Energy and Environment, Jilin University, Changchun 130012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ju","family":"Wang","sequence":"additional","affiliation":[{"name":"College of New Energy and Environment, Jilin University, Changchun 130012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongnan","family":"Li","sequence":"additional","affiliation":[{"name":"College of New Energy and Environment, Jilin University, Changchun 130012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunsheng","family":"Fang","sequence":"additional","affiliation":[{"name":"College of New Energy and Environment, Jilin University, Changchun 130012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4843","DOI":"10.5194\/acp-18-4843-2018","article-title":"Assessment of inter-city transport of particulate matter in the Beijing\u2013Tianjin\u2013Hebei region","volume":"18","author":"Chang","year":"2018","journal-title":"Atmos. Chem. Phys. Discuss."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1836","DOI":"10.4209\/aaqr.2015.04.0266","article-title":"Characterizations of PM2.5 Pollution Pathways and Sources Analysis in Four Large Cities in China","volume":"15","author":"Lv","year":"2015","journal-title":"Aerosol Air Qual. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1021\/acs.est.5b03709","article-title":"Ambient Air Pollution Exposure Estimation for the Global Burden of Disease 2013","volume":"50","author":"Brauer","year":"2015","journal-title":"Environ. Sci. Technol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.1016\/S0140-6736(17)30505-6","article-title":"Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: An analysis of data from the Global Burden of Diseases Study 2015","volume":"389","author":"Cohen","year":"2017","journal-title":"Lancet"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.envint.2011.03.003","article-title":"Ambient air pollution, climate change, and population health in China","volume":"42","author":"Kan","year":"2012","journal-title":"Environ. Int."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.envint.2013.05.007","article-title":"A review on human health perspective of air pollution with respect to allergies and asthma","volume":"59","author":"Kim","year":"2013","journal-title":"Environ. Int."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"9950","DOI":"10.1021\/acs.est.7b03193","article-title":"Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions","volume":"51","author":"Hu","year":"2017","journal-title":"Environ. Sci. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1016\/j.scitotenv.2016.05.165","article-title":"Estimating adult mortality attributable to PM2.5 exposure in China with assimilated PM2.5 concentrations based on a ground monitoring network","volume":"568","author":"Liu","year":"2016","journal-title":"Sci. Total. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s10874-019-09395-0","article-title":"Chemical characteristics and source apportionment of PM2.5 in Wuhan, China","volume":"76","author":"Huang","year":"2019","journal-title":"J. Atmos. Chem."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Li, C., Dai, Z., Liu, X., and Wu, P. (2020). Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations. Appl. Sci., 10.","DOI":"10.3390\/app10082835"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Wang, L., Li, W., Sun, Y., Tao, M., Xin, J., Song, T., Li, X., Zhang, N., Ying, K., and Wang, Y. (2018). PM2.5 Characteristics and Regional Transport Contribution in Five Cities in Southern North China Plain, during 2013\u20132015. Atmosphere, 9.","DOI":"10.3390\/atmos9040157"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.atmosenv.2017.08.031","article-title":"Source regions and transport pathways of PM2.5 at a regional background site in East China","volume":"167","author":"Zhang","year":"2017","journal-title":"Atmos. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1980","DOI":"10.4209\/aaqr.2019.01.0010","article-title":"Characteristics, Formation Mechanisms and Potential Transport Pathways of PM2.5 at a Rural Background Site in Chongqing, Southwest China","volume":"19","author":"Peng","year":"2019","journal-title":"Aerosol Air Qual. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.atmosenv.2016.04.039","article-title":"Indoor source apportionment in urban communities near industrial sites","volume":"139","author":"Tunno","year":"2016","journal-title":"Atmos. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"117010","DOI":"10.1016\/j.atmosenv.2019.117010","article-title":"Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain","volume":"218","author":"Zhang","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.atmosenv.2019.05.031","article-title":"Multiple perspectives for modeling regional PM2.5 transport across cities in the Beijing\u2013Tianjin\u2013Hebei region during haze episodes","volume":"212","author":"Zhang","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.4209\/aaqr.2016.08.0366","article-title":"A Study on Distance Transport of PM2.5 to Xianlin in Nanjing, China and its Source Areas","volume":"17","author":"Cheng","year":"2017","journal-title":"Aerosol Air Qual. Res."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhu, L., Zhang, Y., Kan, X., and Wang, J. (2018). Transport Paths and Identification for Potential Sources of Haze Pollution in the Yangtze River Delta Urban Agglomeration from 2014 to 2017. Atmosphere, 9.","DOI":"10.3390\/atmos9120502"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.apr.2018.08.014","article-title":"Analyses of regional pollution and transportation of PM2.5 and ozone in the city clusters of Sichuan Basin, China","volume":"10","author":"Zhao","year":"2019","journal-title":"Atmos. Pollut. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1007\/s11783-018-1009-z","article-title":"Seasonal variations of transport pathways and potential sources of PM2.5 in Chengdu, China (2012\u20132013)","volume":"12","author":"Chen","year":"2017","journal-title":"Front. Environ. Sci. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"141","DOI":"10.14191\/Atmos.2015.25.1.141","article-title":"Dependence of Total and Carbonaceous Aerosol Concentrations on Transport Pathways in Seoul, Korea","volume":"25","author":"Jeong","year":"2015","journal-title":"Atmosphere"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"13236","DOI":"10.1038\/s41598-017-13614-7","article-title":"Higher-order Network Analysis of Fine Particulate Matter (PM 2.5) Transport in China at City Level","volume":"7","author":"Wang","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.atmosenv.2018.09.043","article-title":"Continuous monitoring, compositions analysis and the implication of regional transport for submicron and fine aerosols in Beijing, China","volume":"195","author":"Zhang","year":"2018","journal-title":"Atmos. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1007\/s00484-017-1467-1","article-title":"Transport pathway and source area for Artemisia pollen in Beijing, China","volume":"63","author":"Qin","year":"2017","journal-title":"Int. J. Biometeorol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.jes.2016.06.035","article-title":"Identification of long-range transport pathways and potential sources of PM2.5 and PM10 in Beijing from 2014 to 2015","volume":"56","author":"Li","year":"2017","journal-title":"J. Environ. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.4209\/aaqr.2015.05.0296","article-title":"Identification of Long-Range Transport Pathways and Potential Sources of PM10 in Tibetan Plateau Uplift Area: Case Study of Xining, China in 2014","volume":"16","author":"Xin","year":"2016","journal-title":"Aerosol Air Qual. Res."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1823","DOI":"10.1016\/j.apr.2019.07.014","article-title":"Chemical characteristics and human health assessment of PM1 during the Chinese Spring Festival in Changchun, Northeast China","volume":"10","author":"Li","year":"2019","journal-title":"Atmos. Pollut. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1016\/j.scitotenv.2007.10.052","article-title":"A combined analysis of backward trajectories and aerosol chemistry to characterise long-range transport episodes of particulate matter: The Madrid air basin, a case study","volume":"390","author":"Salvador","year":"2008","journal-title":"Sci. Total. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.scitotenv.2017.04.164","article-title":"Aerosol contributions at an urban background site in Eastern Mediterranean\u2014Potential source regions of PAHs in PM10 mass","volume":"598","author":"Dimitriou","year":"2017","journal-title":"Sci. Total. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.atmosres.2014.10.010","article-title":"Impact of long-range transport on aerosol properties at a regional background station in Northern China","volume":"153","author":"Pu","year":"2015","journal-title":"Atmos. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s00521-018-3782-9","article-title":"Optimization of stepwise clustering algorithm in backward trajectory analysis","volume":"32","author":"Fang","year":"2018","journal-title":"Neural Comput. Appl."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.atmosres.2015.11.002","article-title":"Chemical composition and source apportionment of ambient PM2.5 during the non-heating period in Taian, China","volume":"170","author":"Liu","year":"2016","journal-title":"Atmos. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.apr.2018.07.009","article-title":"Investigation of potential sources, transport pathway, and health risks associated with respirable suspended particulate matter in Dehradun city, situated in the foothills of the Himalayas","volume":"10","author":"Prabhu","year":"2019","journal-title":"Atmos. Pollut. Res."},{"key":"ref_34","first-page":"137649","article-title":"The Use of Trajectory Cluster Analysis to Evaluate the Long-Range Transport of Black Carbon Aerosol in the South-Eastern Baltic Region","volume":"2014","author":"Dudoitis","year":"2014","journal-title":"Adv. Meteorol."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Yu, H., Feng, J., Su, X., Li, Y., and Sun, J. (2020). A seriously air pollution area affected by anthropogenic in the central China: Temporal-spatial distribution and potential sources. Environ. Geochem. Heal., 1\u201313.","DOI":"10.1007\/s10653-020-00558-7"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.chemosphere.2018.07.102","article-title":"Influence of advanced wood-fired appliances for residential heating on indoor air quality","volume":"211","author":"Frasca","year":"2018","journal-title":"Chemosphere"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"He, J., Lu, S., Yu, Y., Gong, S., Zhao, S., and Zhou, C.-H. (2018). Numerical Simulation Study of Winter Pollutant Transport Characteristics over Lanzhou City, Northwest China. Atmosphere, 9.","DOI":"10.3390\/atmos9100382"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/j.envpol.2017.06.007","article-title":"Model elucidating the sources and formation mechanisms of severe haze pollution over Northeast mega-city cluster in China","volume":"230","author":"Yang","year":"2017","journal-title":"Environ. Pollut."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"434","DOI":"10.3155\/1047-3289.57.4.434","article-title":"Characterization of PM2.5 aerosols dominated by local pollution and Asian dust observed at an urban site in Korea during aerosol characterization experiments (ACE)\u2014Asia Project","volume":"57","author":"Park","year":"2007","journal-title":"J. Air Waste Manag. Assoc."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"12241","DOI":"10.5194\/acp-11-12241-2011","article-title":"Measurements of ozone and its precursors in Beijing during summertime: Impact of urban plumes on ozone pollution in downwind rural areas","volume":"11","author":"Xu","year":"2011","journal-title":"Atmos. Chem. Phys. Discuss."},{"key":"ref_41","first-page":"1","article-title":"Analysis of high levels of CO at Chongming in Summer","volume":"19","author":"He","year":"2012","journal-title":"Chin. Sci. Pap. Online"}],"container-title":["International Journal of Environmental Research and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1660-4601\/17\/18\/6585\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:08:34Z","timestamp":1760177314000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1660-4601\/17\/18\/6585"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,10]]},"references-count":41,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["ijerph17186585"],"URL":"https:\/\/doi.org\/10.3390\/ijerph17186585","relation":{},"ISSN":["1660-4601"],"issn-type":[{"value":"1660-4601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,10]]}}}