Temporal variations of PM2.5 and PM10 concentration over Hyderabad

被引:0
|
作者
Ajay Kumar M.C. [1 ]
Vinay Kumar P. [1 ]
Venkateswara Rao P. [2 ]
机构
[1] Department of Physics, Aurora’s Technological and Research Institute, Hyderabad
[2] Department of Physics, Vasavi College of Engineering, Hyderabad
关键词
Air pollution; Particulate matter; Relative humidity; Temporal variation;
D O I
10.46488/NEPT.2020.v19i05.011
中图分类号
学科分类号
摘要
The association between urbanization and health at the global level, as well as the role of air pollution, has increased the interest in studies, aimed to improve the air quality of urban areas. Addressing the challenges of pollution caused by urbanization plays a crucial role in developing sustainable urbanization. Understanding the temporal characteristics of particulate matter mass concentrations with an aerodynamic diameter of less than 2.5 µm and 10 µm (PM2.5 and PM10) is very important to counter the effect of air pollution. We have analysed and interpreted the diurnal, monthly and seasonal variations of one-hour average PM concentrations taken from Central Pollution Control Board (CPCB) for six stations over Hyderabad, India during March 2018 to February 2020. Average concentrations of PM2.5 (41.5 μg/m3) and PM10 (91.52 μg/m3) for two consecutive years (2018 and 2019) are found to exceed the standard values of World Health Organization (WHO) standards (PM2.5 = 10 μg/m3 and PM10 = 20 μg/m3) and National Ambient Air Quality Standards (NAAQS) (PM2.5 = 40 μg/m3 and PM10 = 60 μg/m3). A clear diurnal and seasonal variations are observed for all the stations. In diurnal cycle, a large PM concentration was observed between 8 AM to 10 AM and again between 6 PM to 9 PM with a minimum at 3 PM in all seasons and also for all stations which clearly shows semidiurnal variations. Data analysis shows a high concentration of particulate matter in winter compared to other seasons. The PM2.5 (PM10) concentrations in winter were found to be increased by three (two times) when compared to monsoon. The ratio of PM2.5 to PM10 is very close to 0.5 during post-monsoon and winter, and 0.4 in summer and monsoon seasons, which clearly shows that PM2.5 comprises a major portion of PM10. The PM2.5 and PM10 are highly correlated with correlation coefficient 0.9. Out of 6 stations, Zoo Park is contributing more particulate matter pollutant concentrations. © 2020 Technoscience Publications. All rights reserved.
引用
收藏
页码:1871 / 1878
页数:7
相关论文
共 50 条
  • [41] Variations of levels and composition of PM10 and PM2.5 at an insular site in the Western Mediterranean
    Pey, Jorge
    Querol, Xavier
    Alastuey, Andres
    ATMOSPHERIC RESEARCH, 2009, 94 (02) : 285 - 299
  • [42] Spatial and Temporal Variability of the PM2.5/PM10 Ratio in Wuhan, Central China
    Xu, Gang
    Jiao, Limin
    Zhang, Boen
    Zhao, Suli
    Yuan, Man
    Gu, Yanyan
    Liu, Jiafeng
    Tang, Xin
    AEROSOL AND AIR QUALITY RESEARCH, 2017, 17 (03) : 741 - 751
  • [43] Predicting PM10 and PM2.5 concentration in container ports: A deep learning approach
    Park, So -Young
    Woo, Su-Han
    Lim, Changwon
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2023, 115
  • [44] Variation characteristics of PM2.5 concentration and its relationship with PM10 and TSP in Beijing
    Yang, Fu-Mo
    He, Ke-Bin
    Ma, Yong-Liang
    Zhang, Qiang
    Yu, Xue-Chun
    Zhongguo Huanjing Kexue/China Environmental Science, 2002, 22 (06):
  • [45] PM2.5 and PM10 Concentration Estimation Based on the Top-of-Atmosphere Reflectance
    Zhang, Lei
    Hao, Jie
    Xu, Wenjing
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2021, PT III, 2021, 12939 : 574 - 581
  • [46] Spatial and Temporal Distributions of PM10 and PM2.5 Concentrations in Chungcheongnam-do
    Kim, Jong Bum
    Yoon, Soo Hyang
    Lee, Sang Sin
    Kim, Kyung Hwan
    Noh, Sujin
    Bae, Gwi-Nam
    JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2020, 36 (04) : 464 - 481
  • [47] The concentration characteristics of PM10 and PM2.5 in eight cities of China in March, 2013
    Sheng, Tao
    Shi, Jianwu
    Tian, Senlin
    Bi, Limei
    Deng, Hao
    Long, Jian
    Wang, Qian
    Zhan, Shujiao
    ENVIRONMENTAL PROTECTION AND RESOURCES EXPLOITATION, PTS 1-3, 2013, 807-809 : 20 - 23
  • [48] Design of fiber PM2.5 and PM10 concentration detectors based on MIE scattering
    Li, Yun
    Tang, Jianfeng
    2019 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: ADVANCED LASER TECHNOLOGY AND APPLICATIONS, 2020, 11437
  • [49] The effect of temperature and humidity of air on the concentration of particulate matter - PM2.5 and PM10
    Zender-Świercz, E.
    Galiszewska, B.
    Telejko, M.
    Starzomska, M.
    Atmospheric Research, 2024, 312
  • [50] Estimation of particulate matter (PM2.5, PM10) concentration and its variation over urban sites in Bangladesh
    Amitesh Gupta
    Md Moniruzzaman
    Avinash Hande
    Iman Rousta
    Haraldur Olafsson
    Karno Kumar Mondal
    SN Applied Sciences, 2020, 2