Characterization and Effective Dose of Gross Alpha and Gross Beta Activities in Particulate Matters (PM2.5, PM10, SPM) in India

被引:0
|
作者
Akhilesh Kumar Yadav
机构
[1] Indian Institute of Technology (Banaras Hindu University),Department of Mining Engineering
来源
Aerosol Science and Engineering | 2022年 / 6卷
关键词
Particulate matter; Gross alpha and gross beta radioactivity; Meteorological factors; Individual effective dose; Atmospheric radionuclides;
D O I
暂无
中图分类号
学科分类号
摘要
A radiometric composition of airborne particles sample, collected twice a week for two consecutive years at Singrauli coalfield, India, is analyzed. The average ratio between gross alpha and gross beta in the particulate matter was observed 0.63 (PM2.5), 0.73 (PM10) and 0.91 (Suspended particulate matter). The seasonal variation of gross alpha radioactivity shows a minimum in the rainy and a maximum in the winter. These results are relevant to understanding the meteorological factors affecting alpha and beta activity concentrations in this area. The correlation between gross alpha and gross beta activities suggests a similar source. Minimum and maximum individual effective annual dose of gross alpha and gross beta due to particulate matters were caused by 137Cs and 232Th, respectively. In this study, the detailed aspects of activity have been investigated and discussed in the study area.
引用
收藏
页码:360 / 369
页数:9
相关论文
共 50 条
  • [21] Multi-elemental analysis of particulate matter PM2.5 and PM10 by ICP OES
    dos Santos Souza, Eduardo Jose
    Mora, Camilo Zapata
    Aristizabal Zuluaga, Beatriz Helena
    Britto do Amaral, Clarice Dias
    Grassi, Marco Tadeu
    TALANTA, 2021, 221
  • [22] Probing into the wintertime meteorology and particulate matter (PM2.5 and PM10) forecast over Delhi
    Sengupta, Aditya
    Govardhan, Gaurav
    Debnath, Sreyashi
    Yadav, Prafull
    Kulkarni, Santosh H.
    Parde, Avinash N.
    Lonkar, Prasanna
    Dhangar, Narendra
    Gunwani, Preeti
    Wagh, Sandeep
    Nivdange, Sandip
    Jena, Chinmay
    Kumar, Rajesh
    Ghude, Sachin D.
    ATMOSPHERIC POLLUTION RESEARCH, 2022, 13 (06)
  • [23] Chemical characterization of PM10 and PM2.5 mass concentrations emitted by heterogeneous traffic
    Srimuruganandam, B.
    Nagendra, S. M. Shiva
    SCIENCE OF THE TOTAL ENVIRONMENT, 2011, 409 (17) : 3144 - 3157
  • [24] Physico-chemical characterization of PM10 and PM2.5 in the Belgrade urban area
    Tasic, Mirjana
    Duric-Stanojevic, Branislava
    Rajsic, Slavica
    Mijic, Zoran
    Novakovic, Velibor
    ACTA CHIMICA SLOVENICA, 2006, 53 (03) : 401 - 405
  • [25] Vertical Distribution of Air Particulate Matter (PM1, PM2.5, and PM10) in Different Regions of Tehran
    Roostaei, Vahid
    Abbasi, Atefeh
    Gharibzadeh, Farzaneh
    Faridi, Sasan
    Naddafi, Kazem
    Yunesian, Masud
    Hassanvand, Mohammad Sadegh
    AEROSOL AND AIR QUALITY RESEARCH, 2024, 24 (10)
  • [26] Comparison of Ground-Based PM2.5 and PM10 Concentrations in China, India, and the US
    Yang, Xingchuan
    Jiang, Lei
    Zhao, Wenji
    Xiong, Qiulin
    Zhao, Wenhui
    Yan, Xing
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (07)
  • [27] On the Correlations between Particulate Matter: Comparison between Annual/Monthly Concentrations and PM10/PM2.5
    Jurado, Xavier
    Reiminger, Nicolas
    Maurer, Loic
    Vazquez, Jose
    Wemmert, Cedric
    ATMOSPHERE, 2023, 14 (02)
  • [28] Particulate Matter (PM10 and PM2.5) in Subway Systems: Health-Based Economic Assessment
    Nguyen, Thanh Ngoc
    Park, Duckshin
    Lee, Yongil
    Lee, Young-Chul
    SUSTAINABILITY, 2017, 9 (11)
  • [29] Prediction and analysis of particulate matter (PM2.5 and PM10) concentrations using machine learning techniques
    Anurag Barthwal
    Debopam Acharya
    Divya Lohani
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 1323 - 1338
  • [30] Spatiotemporal assessment of particulate matter (PM10 and PM2.5) and ozone in a Caribbean urban coastal city
    Duarte, Ana L.
    Schneider, Ismael L.
    Artaxo, Paulo
    Oliveira, Marcos L. S.
    GEOSCIENCE FRONTIERS, 2022, 13 (01)