Concentration, source apportionment and human health risk assessment of elements in PM2.5 at Agra, India

被引:4
|
作者
Sah, Dinesh [1 ]
机构
[1] Govt Engn Coll, Dept Chem, Sheohar 843329, India
关键词
PM2; 5; Elements; Seasonal variation; Source apportionment; Health risk assessment; HEAVY-METALS; TRACE-ELEMENTS; URBAN SITE; PM10; AIR; MATTER; CITY;
D O I
10.1016/j.uclim.2023.101477
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The present study determined the concentration, seasonal variation, source identification and the human health risk of elements (V, Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, Pb and Si) in fine particulate matter (PM2.5). Samples of PM2.5 were collected at the urban site (Bhagwan Talkies) of Agra, India during January to December 2021. The result showed that the average annual PM2.5 con-centration at the urban site was 144.32 +/- 57.18 mu g m- 3 which exceeded the air quality guide-lines. Seasonal variation of PM2.5 shows high concentration in winter followed by post-monsoon, summer and monsoon. Among the elements analysed, Si showed the highest concentration and V had the lowest concentration. The concentration of Cr, Ni, As and Cd exceeded the WHO limit, whereas V, Mn and Pb concentrations were below the WHO limit. The significant seasonal var-iations of elements were observed during the study period. An enrichment factor (EF) was applied to assess the level of the contamination. The possible sources of elements were determined using principal component analysis (PCA). The non-carcinogenic risks for children and adults due to Ni and Cu were higher than the safe level (= 1). The HI values for studied metals for both children and adults were 7.02. The carcinogenic risks for both children and adults due to Pb while for children due to Cd were lower than 1 x 10-6. The carcinogenic risks for other studied metals were higher than 1 x 10-6. The total carcinogenic risks for adults and children were higher than the acceptable limit (1 x 10- 6).
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Transmission characteristics, source apportionment and health risk assessment of PM2.5 in a typical industrial city in Northwest China
    Xiao, Kai
    Yao, Xiaoqing
    Ren, Xuechang
    Zhang, Xi
    Fu, Ning
    Shi, Qiuhong
    URBAN CLIMATE, 2023, 47
  • [22] Source Apportionment of PM2.5 and PM2.5-Bound Trace Elements in Pretoria, South Africa
    Howlett-Downing, Chantelle
    Boman, Johan
    Molnar, Peter
    Shirinde, Joyce
    Wichmann, Janine
    ENVIRONMENTAL FORENSICS, 2024, 25 (05) : 442 - 456
  • [23] Chemical characterization, source apportionment, and health risk assessment of PM2.5 in a typical industrial region in North China
    Zhanshan Wang
    Jiayi Yan
    Puzhen Zhang
    Zhigang Li
    Chen Guo
    Kai Wu
    Xiaoqian Li
    Xiaojing Zhu
    Zhaobin Sun
    Yongjie Wei
    Environmental Science and Pollution Research, 2022, 29 : 71696 - 71708
  • [24] Source Apportionment and Health Risk Assessment of Polycyclic Aromatic Hydrocarbons in PM2.5 in Changchun City, Autumn of 2017
    Zhang Y.-X.
    Cao F.
    Zheng H.
    Zhang D.-D.
    Zhai X.-Y.
    Fan M.-Y.
    Zhang Y.-L.
    Huanjing Kexue/Environmental Science, 2020, 41 (02): : 564 - 573
  • [25] Chemical characterization, source apportionment, and health risk assessment of PM2.5 in a typical industrial region in North China
    Wang, Zhanshan
    Yan, Jiayi
    Zhang, Puzhen
    Li, Zhigang
    Guo, Chen
    Wu, Kai
    Li, Xiaoqian
    Zhu, Xiaojing
    Sun, Zhaobin
    Wei, Yongjie
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (47) : 71696 - 71708
  • [26] Source apportionment of PM2.5 in Beijing in 2004
    Song, Yu
    Tang, Xiaoyan
    Xie, Shaodong
    Zhang, Yuanhang
    Wei, Yongjie
    Zhang, Minsi
    Zeng, Limin
    Lu, Sihua
    JOURNAL OF HAZARDOUS MATERIALS, 2007, 146 (1-2) : 124 - 130
  • [27] Source apportionment of PM2.5 in Beijing.
    He, KB
    Zhang, Q
    Ma, YL
    Yang, FM
    Cadle, S
    Chan, T
    Mulawa, P
    Chan, KC
    Yao, XH
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2002, 224 : U573 - U573
  • [28] Measurement of PM10, PM2.5 and Black Carbon and Assessment of Their Health Effects in Agra, A Semiarid Region of India
    Gupta, Pratima
    Jangid, Ashok
    Kumar, Ranjit
    PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY, 2019, 85 (03): : 667 - 679
  • [29] Source apportionment of PM2.5 pollution in Shenzhen
    Sun, Tian-Le
    Zou, Bei-Bing
    Huang, Xiao-Feng
    Shen, Hang-Yin
    Dai, Jing
    He, Ling-Yan
    Zhongguo Huanjing Kexue/China Environmental Science, 2019, 39 (01): : 13 - 20
  • [30] Source apportionment of PM2.5 in Nanjing by PMF
    Wang, Su-Rong
    Yu, Yi-Yong
    Wang, Qin-Geng
    Lu, Yan
    Yin, Li-Na
    Zhang, Yu-Yan
    Lu, Xiao-Bo
    Zhongguo Huanjing Kexue/China Environmental Science, 2015, 35 (12): : 3535 - 3542