Investigating the Implications of COVID-19 on PM2.5 in Pakistan

被引:12
|
作者
Sipra, Hassaan [1 ]
Aslam, Faheem [2 ]
Syed, Jabir Hussain [3 ]
Awan, Tahir Mumtaz [2 ]
机构
[1] COMSATS Univ, Ctr Climate Res & Dev, Pk Rd Tarlai Kalan, Islamabad 45550, Pakistan
[2] COMSATS Univ, Dept Management Sci, Pk Rd Tarlai Kalan, Islamabad 45550, Pakistan
[3] COMSATS Univ, Dept Meteorol, Pk Rd Tarlai Kalan, Islamabad 45550, Pakistan
关键词
PM2.5; Air quality; Multifractal analysis; COVID-19; Lockdown; AIR-POLLUTANT CONCENTRATION; STOCK-MARKET; TIME-SERIES; MULTIFRACTAL PROPERTIES; CROSS-CORRELATIONS; TEMPORAL VARIATION; WIND-SPEED; QUALITY; PERSISTENCE; BEHAVIOR;
D O I
10.4209/aaqr.2020.07.0459
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
There are profound impacts of Coronavirus disease-19 (COVID-19) globally, nationally and locally. To assess the impact of COVID-19 on the hourly concentrations of particular matter < 2.5 microns (PM2.5) in Lahore and Karachi, Pakistan, this study employs multifractal analysis. Comparative analysis of high frequency (hourly) PM2.5 data for both cities from February to April for 2019 and 2020 revealed inner dynamics of time series through seasonal and trend decomposition (STL) first, then multifractal detrended fluctuation analysis (MFDFA). The empirical findings confirmed existence of multifractality in hourly PM2.5. Based on multifractal properties, efficiency of Lahore declines during COVID-19. Furthermore, a varying impact of COVID-19 is found on the strength of multifractality of PM2.5 under consideration. Drastic, significant change is found on the efficiency of air quality in Lahore before and during COVID-19 periods. Before COVID-19, PM2.5 remains relatively efficient, while during COVID-19 period it shows high multifractality, the opposite of which is true for Karachi. However, all series exhibit anti-persistent (negatively correlated) behavior before and during COVID-19, with respect to the remainder component of PM2.5 concentration. This means that when PM2.5 concertation is high at a given time, in the next period, the concentration will be low. Intuitively, this is accurate, given that hourly PM2.5 concentrations change with economic activity, which oscillates in daily cycles of high and low PM2.5 concentrations. In Lahore significantly lower efficiency is observed during COVID-19; no conclusion on lockdown can be made. In Karachi, higher efficiency was achieved COVID-19, which was well correlated with the before COVID-19 period, implying effective lockdown policy. The confirmation and examination of multifractality in PM2.5 concentrations of Lahore and Karachi presents researchers and policymakers with a distinct signature for the impact of COVID-19. It provides validation for the development of such policy evaluation tools, with reference to air quality in Pakistan.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [21] Causal relationship between particulate matter 2.5 (PM2.5), PM2.5 absorbance, and COVID-19 risk: A two-sample Mendelian randomisation study
    Liu, Chenxi
    Peng, Jia
    Liu, Yubo
    Peng, Yi
    Kuang, Yuanyuan
    Zhang, Yinzhuang
    Ma, Qilin
    JOURNAL OF GLOBAL HEALTH, 2023, 13
  • [22] Exploring the linkage between PM2.5 levels and COVID-19 spread and its implications for socio-economic circles
    Ali, Syeda Mahnoor
    Malik, Fatima
    Anjum, Muhammad Shehzaib
    Siddiqui, Ghazanfar Farooq
    Anwar, Muhammad Naveed
    Lam, Su Shiung
    Nizami, Abdul-Sattar
    Khokhar, Muhammad Fahim
    ENVIRONMENTAL RESEARCH, 2021, 193 (193)
  • [23] Indoor and Outdoor Exposure to PM2.5 during COVID-19 Lockdown in Suburban Malaysia
    Ezani, Eliani
    Brimblecombe, Peter
    Asha'ari, Zulfa Hanan
    Fazil, Amirul Aiman
    Ismail, Sharifah Norkhadijah Syed
    Ramly, Zamzam Tuah Ahmad
    Khan, Md Firoz
    AEROSOL AND AIR QUALITY RESEARCH, 2021, 21 (03) : 1 - 12
  • [24] Variation in chemical composition and sources of PM2.5 during the COVID-19 lockdown in Delhi
    Manchanda, Chirag
    Kumar, Mayank
    Singh, Vikram
    Faisal, Mohd
    Hazarika, Naba
    Shukla, Ashutosh
    Lalchandani, Vipul
    Goel, Vikas
    Thamban, Navaneeth
    Ganguly, Dilip
    Tripathi, Sachchida Nand
    ENVIRONMENT INTERNATIONAL, 2021, 153
  • [25] Changes in healthy effects and economic burden of PM2.5 in Beijing after COVID-19
    Chen, Fengxia
    Wang, Yan
    Du, Xiaoli
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (21) : 60294 - 60302
  • [26] Changes in healthy effects and economic burden of PM2.5 in Beijing after COVID-19
    Fengxia Chen
    Yan Wang
    Xiaoli Du
    Environmental Science and Pollution Research, 2023, 30 : 60294 - 60302
  • [27] Decomposing PM2.5 air pollution rebounds in Northern China before COVID-19
    Changgui Dong
    Jiaying Li
    Ye Qi
    Environmental Science and Pollution Research, 2022, 29 : 28688 - 28699
  • [28] Decomposing PM2.5 air pollution rebounds in Northern China before COVID-19
    Dong, Changgui
    Li, Jiaying
    Qi, Ye
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (19) : 28688 - 28699
  • [29] PM2.5 emissions, concentrations and air quality index during the COVID-19 lockdown
    Rojas, Nestor Y.
    Ramirez, Omar
    Carlos Belalcazar, Luis
    Felipe Mendez-Espinosa, Juan
    Mario Vargas, Jorge
    Eduardo Pachon, Jorge
    ENVIRONMENTAL POLLUTION, 2021, 272
  • [30] Impact of COVID-19 lockdown on particulate matter (PM2.5) concentration in Kathmandu, Nepal
    Mishra A.
    Pant B.P.
    Shakya S.
    Tiwari P.
    Pandit D.
    Poudyal K.N.
    International Journal of Environmental Studies, 2022, 79 (06) : 1048 - 1056