Extrapolation of anthropogenic disturbances on hazard elements in PM2.5 in a typical heavy industrial city in northwest China

被引:6
|
作者
Zhou, Bianhong [1 ,2 ]
Wang, Jin [1 ]
Liu, Suixin [2 ,4 ,5 ]
Ho, Steven Sai Hang [3 ]
Wu, Tingting [2 ]
Zhang, Yong [2 ]
Tian, Jie [2 ]
Feng, Qiao [1 ]
Li, Chunyan [1 ]
Wang, Qiyuan [2 ,4 ,5 ]
机构
[1] 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
关键词
Disturbances; COVID-19; Elements; Industry; Firework; Health assessment; SOURCE APPORTIONMENT; TRACE-ELEMENTS; PARTICULATE MATTER; URBAN; PM10; VARIABILITY; POLLUTION; HEALTH; MODEL; BAOJI;
D O I
10.1007/s11356-022-20184-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Baoji 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.
引用
收藏
页码:64582 / 64596
页数:15
相关论文
共 50 条
  • [31] Local and regional anthropogenic influence on PM2.5 elements in Hong Kong
    Hagler, G. S. W.
    Bergin, M. H.
    Salmon, L. G.
    Yu, J. Z.
    Wan, E. C. H.
    Zheng, M.
    Zeng, L. M.
    Kiang, C. S.
    Zhang, Y. H.
    Schauer, J. J.
    ATMOSPHERIC ENVIRONMENT, 2007, 41 (28) : 5994 - 6004
  • [32] Biogenic and anthropogenic sources of oxalate in PM2.5 in a mega city, Shanghai
    Yang, Fan
    Gu, Zeping
    Feng, Jialiang
    Liu, Xiaohuan
    Yao, Xiaohong
    ATMOSPHERIC RESEARCH, 2014, 138 : 356 - 363
  • [33] The cumulative characteristics of PAEs in PM2.5 in Changji, Northwest China
    Liu, Yuyan
    Ji, Caiye
    Fu, Bo
    Yu, Yongxin
    Liu, Haofeng
    Shen, Yaxing
    PHYSICAL GEOGRAPHY, 2020, 41 (04) : 332 - 342
  • [34] Seasonal trends and light extinction effects of PM2.5 chemical composition from 2021 to 2022 in a typical industrial city of central China
    Zhan, Changlin
    Wei, Chong
    Liu, Ziguo
    Liu, Hongxia
    Yang, Xuefen
    Zheng, Jingru
    Liu, Shan
    Quan, Jihong
    Zhang, Yong
    Wang, Qiyuan
    Li, Nan
    Cao, Junji
    ATMOSPHERIC ENVIRONMENT, 2025, 341
  • [35] Comparison of PM2.5 Chemical Compositions during Haze and Non-haze Days in a Heavy Industrial City in North China
    Li, Menghui
    Wu, Liping
    Zhang, Xiangyan
    Wang, Xinwu
    Bai, Wenyu
    Ming, Jing
    Geng, Chunmei
    Yang, Wen
    AEROSOL AND AIR QUALITY RESEARCH, 2020, 20 (09) : 1950 - 1960
  • [36] Source Apportionment of Heavy Metals (Pb, Cd, As, Hg) in PM2.5 and PM10 in a City in China
    Li, Zhuang
    Zou, Runli
    Li, Juansheng
    Huang, Jin
    Zhu, Banghui
    MATERIALS SCIENCE, ENVIRONMENT PROTECTION AND APPLIED RESEARCH, 2014, 908 : 14 - +
  • [37] PM2.5-bound heavy metals in a typical industrial city of Changzhi in North China: Pollution sources and health risk assessment
    Chen, Hao
    Yan, Yulong
    Hu, Dongmei
    Peng, Lin
    Wang, Cheng
    ATMOSPHERIC ENVIRONMENT, 2024, 321
  • [38] Effects of Anthropogenic Chlorine on PM2.5 and Ozone Air Quality in China
    Wang, Xuan
    Jacob, Daniel J.
    Fu, Xiao
    Wang, Tao
    Le Breton, Michael
    Hallquist, Mattias
    Liu, Zirui
    McDuffie, Erin E.
    Liao, Hong
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (16) : 9908 - 9916
  • [39] Carbonaceous Aerosols in PM1, PM2.5, and PM10 Size Fractions over the Lanzhou City, Northwest China
    Zhang, Xin
    Li, Zhongqin
    Wang, Feiteng
    Song, Mengyuan
    Zhou, Xi
    Ming, Jing
    ATMOSPHERE, 2020, 11 (12)
  • [40] Spatial heterogeneity of meteorological elements and PM2.5: Joint environmental-meteorological effects on PM2.5 in a Cold City
    Han, Dongliang
    Wang, Mingqi
    Zhang, Tiantian
    Zhang, Xuedan
    Liu, Jing
    Tan, Yufei
    URBAN CLIMATE, 2024, 58