IEECAS OpenIR  > 粉尘与环境研究室
Extrapolation of anthropogenic disturbances on hazard elements in PM2.5 in a typical heavy industrial city in northwest China
Zhou, Bianhong1,2; Wang, Jin1; Liu, Suixin2,4,5; Ho, Steven Sai Hang3; Wu, Tingting2; Zhang, Yong2; Tian, Jie2; Feng, Qiao1; Li, Chunyan1; Wang, Qiyuan2,4,5
Corresponding AuthorWang, Qiyuan(wangqy@ieecas.cn)
2022-04-26
Source PublicationENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
Pages15
AbstractBaoji is a typical heavy industrial city in northwest China. Its air quality is greatly impacted by the emission from the factories. Elements in fine particulate matter (PM2.5) that are greatly emitted from anthropogenic sources could pose diverse health impacts on humans. In this study, an online AMMS-100 atmospheric heavy metal analyzer was used to quantify 30 elements in PM2.5 under the weak and strong anthropogenic disturbance scenarios before the city lockdown period (from January 9(th) to 23(rd)) and the lockdown period (from January 26(th) to February 9(th)) due to the outbreak of COVID-19 in 2020. During the lockdown period, the average total concentration of total quantified elements was 3475.0 ng/m(3), which was 28% and 33% lower than that of the week and strong anthropogenic disturbance scenarios during the pre-lockdown period. The greatest reductions were found for the elements of chromium (Cr), titanium (Ti), manganese (Mn), and Zinc (Zn), consistent with the industrial structure of Baoji. The mass concentrations of most elements showed obvious reductions when the government post-alerted the industries to reduce the operations and production. Dust, traffic sources, combustion, non-ferrous metal processing, and Ti-related industrial processing that are the contributors of the elements in the pre-lockdown period were apportioned by the positive matrix factorization (PMF) model. Substantial changes in the quantified elements' compositions and sources were found in the lockdown period. Health assessment was conducted and characterized by apportioned sources. The highest non-carcinogenic risk (HQ) was seen for Zn, demonstrating the high emissions from the related industrial activities. The concentration level of arsenic (As) exceeded the incremental lifetime carcinogenic risk (ILCR) in the lockdown period. This could be attributed to the traditional firework activities for the celebration of the Chinese New Year within the lockdown period.
KeywordDisturbances COVID-19 Elements Industry Firework Health assessment
DOI10.1007/s11356-022-20184-3
WOS KeywordSOURCE APPORTIONMENT ; TRACE-ELEMENTS ; PARTICULATE MATTER ; URBAN ; PM10 ; VARIABILITY ; POLLUTION ; HEALTH ; MODEL ; BAOJI
Indexed BySCI ; SCI
Language英语
Funding ProjectKey Research and Development Program of Shaanxi Province[2018-ZDXM3-01] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB40000000] ; Basic Research Project of Shaanxi Provincial Natural Science[2019JM-120] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2019402]
WOS Research AreaEnvironmental Sciences & Ecology
Funding OrganizationKey Research and Development Program of Shaanxi Province ; Strategic Priority Research Program of Chinese Academy of Sciences ; Basic Research Project of Shaanxi Provincial Natural Science ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
WOS SubjectEnvironmental Sciences
WOS IDWOS:000787668500016
PublisherSPRINGER HEIDELBERG
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/17696
Collection粉尘与环境研究室
第四纪科学与全球变化卓越创新中心
Corresponding AuthorWang, Qiyuan
Affiliation1.Baoji Univ Arts & Sci, Coll Geog & Environm, Shaanxi Key Lab Disaster Monitoring & Mech Simula, Baoji 721013, Peoples R China
2.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China
3.Desert Res Inst, Div Atmospher Sci, Reno, NV 89512 USA
4.CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China
5.Shaanxi Key Lab Atmospher & Haze fog Pollut Preve, Xian 710061, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Bianhong,Wang, Jin,Liu, Suixin,et al. Extrapolation of anthropogenic disturbances on hazard elements in PM2.5 in a typical heavy industrial city in northwest China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2022:15.
APA Zhou, Bianhong.,Wang, Jin.,Liu, Suixin.,Ho, Steven Sai Hang.,Wu, Tingting.,...&Wang, Qiyuan.(2022).Extrapolation of anthropogenic disturbances on hazard elements in PM2.5 in a typical heavy industrial city in northwest China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,15.
MLA Zhou, Bianhong,et al."Extrapolation of anthropogenic disturbances on hazard elements in PM2.5 in a typical heavy industrial city in northwest China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022):15.
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