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      Assessment of temporal shifting of PM2.5, lockdown effect, and influences of seasonal meteorological factors over the fastestgrowing megacity, Dhaka

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      https://www.riss.kr/link?id=A108504501

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      다국어 초록 (Multilingual Abstract)

      Dhaka is subjected to high pollution levels throughout the year, holding some relatively high amounts of pollution readings, making its air unhealthy to breathe. The study examined hourly, shifting, seasonal fluctuations in particulate matter (PM2.5),...

      Dhaka is subjected to high pollution levels throughout the year, holding some relatively high amounts of pollution readings, making its air unhealthy to breathe.
      The study examined hourly, shifting, seasonal fluctuations in particulate matter (PM2.5), the effects of seasonal meteorological variables, and the lockdown effect over the megacity of Dhaka from 2019 to 2021 using data from AirNow. The results indicate the daily average PM2.5 concentration between 2019 and 2021 was 112.49 lg/m3, about four times higher than the WHO limit and two times higher than the Bangladesh standard. Daily PM2.5 concentrations was high during morning and evening pick-up hours, reaching a maximum hourly concentration of 472.9 lg/m3 in February 2020. The maximum average PM2.5 concentration was 211.23 lg/m3 in March 2021 (winter season), and the lowest average was 27.58 lg/m3 in August 2020 (rainy season). The Pearson correlation coefficient (r) between the PM2.5 and meteorological variables were inverse with rainfall (- 0.62), temperature (- 0.73), humidity (- 0.82), but positive with wind (0.09).
      Daily average Air Quality Index (AQI) concentrations improved from 108.53 to 67.99 lg/m3 during the lockdown period. Finally, the study recommended many mitigation strategies that might assist accountable authorities in lowering the number of life-threatening components in the air.

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      참고문헌 (Reference) 논문관계도

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      10 Searight, A, "Southeast Asian Responses to COVID-19:Diversity in the Face of Adversity" Center for Strategic & International Studies 2020

      1 Kanawade, V. P, "What caused severe air pollution episode of November 2016 in New Delhi?" 222 : 117125-, 2016

      2 Rana, M. M, "Trends in atmospheric particulate matter in Dhaka, Bangladesh, and the vicinity" 23 (23): 17393-17403, 2016

      3 Suszanowicz, D, "The impact of green roofs on the parameters of the environment in urban areasreview" 10 (10): 792-, 2019

      4 Trinh, T. T, "Temperature inversion and air pollution relationship, and its effects on human health in Hanoi City, Vietnam" 41 (41): 929-937, 2019

      5 Kitada, T, "Study on the air pollution control system for dhaka, bangladesh" 19 (19): 443-459, 1998

      6 Lind, D. A, "Statistical Techniques in Business & Economics" Vertovec 461-511, 2012

      7 Ray, A. E, "Standard operating procedure for the continuous measurement of particulate matter" 1-96, 2009

      8 Chen, T, "Spatial and temporal variations of PM2 5 and its relation to meteorological factors in the urban area of Nanjing, China" 13 (13): 921-, 2016

      9 Yan, S, "Spatial and temporal characteristics of air quality and air pollutants in 2013 in Beijing" 23 (23): 13996-14007, 2016

      10 Searight, A, "Southeast Asian Responses to COVID-19:Diversity in the Face of Adversity" Center for Strategic & International Studies 2020

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      36 Kafy, A. A, "Cellular automata approach in dynamic modelling of land cover changes using rapideye images in Dhaka. Bangladesh" 4 : 100084-, 2021

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      38 Khan, R, "Association between short-term exposure to fine particulate matter and daily emergency room visits at a cardiovascular hospital in Dhaka, Bangladesh" 646 : 1030-1036, 2019

      39 Faisal, A. -A, "Assessing and predicting land use/land cover, land surface temperature and urban thermal field variance index using Landsat imagery for Dhaka Metropolitan area" 4 : 100192-, 2021

      40 Brandt, E. B, "Air pollution and allergic diseases" 27 (27): 724-735, 2015

      41 Amit, S, "A perception-based study to explore COVID-19 pandemic stress and its factors in Bangladesh" 15 (15): 102129-, 2021

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