COVID-19 induced lockdown and decreasing particulate matter (PM10): An empirical investigation of an Asian megacity

Gayen, Amiya; Haque, Sk. Mafizul; Mishra, Swasti Vardhan

doi:10.1016/j.uclim.2021.100786

Cited by 9 publications

(5 citation statements)

References 47 publications

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“…Across the world, an imposedlockdown withinCOVID-19 pandemic has reducedseveral human activities as reported in urban megacities such as India (Das et al, 2021;Srivastava et al, 2021), China (Fan et al, 2021), Pakistan (Ali et al, 2021), Korea and Japan (Hu et al, 2021). For example, the lockdown measures may have a short-term positive impact on decreasing urban pollutionin several places (e.g., Das et al, 2021;Hu et al, 2021;Srivastava et al, 2021) by decreasing particulate matter (Gayen et al, 2021;Venter et al, 2021) as mentioned before. The challenge now remainshow to avoid any __________________________________________________________________________________________________________________ ________________________________________________ Egypt.…”

Section: Natural Resourcesmentioning

confidence: 92%

Indicators of Environmental Recovery during the Frist Lockdown of COVID-19 Pandemic: Is this a Permanent or a Temporary?

Elbasiouny

Elbehiry²,

Rajput

et al. 2021

Egypt.J. Soil Sci.

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Upon the outbreak and spreading of COVID-19, several reduction measures have been implemented throughout the world to avert the COVID-19 pandemic risks such as entire lockdowns, social distancing, extensive travel bans, mass quarantines, etc. Many positive and negative indicators of this pandemic on the whole environmental compartments have been reported worldwide. These indicators may include promoting the air quality through a reduction in anthropogenic-based emissions (e.g., CO 2 and N 2 O) and increase ozone concentration in addition to energy, water and wastewater, deforestation, and natural resources. This is the difficult equation concerningthe COVID-19 pandemic outbreak and its health, societal, economic, and environmental risks and how is the recovery of the environment? Is this recovery will be permanent or temporary? The answer to this question may be emphasized during the outcoming days or months. What will increase this global pandemic aggravation if the COVID-19 has appeared in many types, which enforce us to re-think again concerning the task?

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Section: Natural Resourcesmentioning

confidence: 92%

Indicators of Environmental Recovery during the Frist Lockdown of COVID-19 Pandemic: Is this a Permanent or a Temporary?

Elbasiouny

Elbehiry²,

Rajput

et al. 2021

Egypt.J. Soil Sci.

View full text Add to dashboard Cite

show abstract

“…Recent studies using remotely sensed images have shown that there was a decline in air pollutants from major cities of East Asia, Europe, and the USA (32,33). In India, when measuring the change in PM10 level in the Kolkata metropolitan area, it was found that the level of particulate matter (PM10) has decreased during the COVID-19 induced lockdown (34). In China, PM10 and NO2 obtained from remotely sensed images were also decreased rapidly from the pre-lockdown stage to the lockdown periods (Figure 2) (35).…”

Section: Roles Of Remote Sensing In the Covid-19 Fightmentioning

confidence: 99%

The Crucial Roles of Geospatial Techniques in The COVID-19 Fight : A Systematic Review

Nguyen,,

Giang Nguyen,

Mai Nguyen

2023

IJHMR

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The Corona Virus Disease 2019 (COVID-19) appeared in Wuhan, China, at the end of 2019, spreading from there across China and the whole world. Such advanced technologies as geospatial techniques have been applied to fight the rapid spread of SARS-CoV-2. This paper aims to review and synthesize the types of applications offered through geospatial techniques to help address different issues related to the fight of the COVID-19 pandemic. The content is presented under four sub-sections; namely the roles of GIS, Remote Sensing, Global Positioning System and Internet Mapping Technologies in the fight of the COVID-19 pandemic. It was found from summarising 73 scientific papers, geospatial techniques have been proven their effectiveness not only in the study of COVID-19 in general, but also in the fight of the pandemic in particular. The wide range of applications offered by geospatial techniques affirms the value of this technique to the COVID-19 fight.

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“…Hence, local authorities always implement non-pharmaceutical interventions (NPIs) and even lockdown the whole city to contain the spread of the COVID-19 epidemic. Previous studies indicate that the concentration of air pollutants in megacities of many countries, including India, China, Japan, Italy, and the USA, reduced due to the restriction of human activities (or human migration) caused by the lockdown of the city [ 3 – 8 ]. From the end of 2019 to mid-2020, Wuhan suffered from the COVID-19 pandemic, while the local government took measures to lock the city down to restrict human migration.…”

Section: Introductionmentioning

confidence: 99%

Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age

Zhan

Jiang

Min

et al. 2022

Neural Comput & Applic

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Due to the coronavirus disease 2019 pandemic, local authorities always implanted non-pharmaceutical interventions, such as maintaining social distance to reduce human migration. Besides, previous studies have proved that human migration highly influenced air pollution concentration in an area. Therefore, this study aims to explore whether human migration can work as a significant factor in the post-pandemic age to help PM2.5 concentration forecasting. In this work, we first analyze the variations of PM2.5 in 11 cities of Hubei from 2015 to 2020 and further compare PM2.5 trends with the migration trends of Hubei province in 2020. Experimental results indicate that the human migration indirectly affected the urban PM2.5 concentration. Then, we established a graph data structure based on the migration network describing the migration flow size between any two areas in the Hubei province and proposed a migration attentive graph convolutional network (MAGCN) for forecasting PM2.5. Combined with the migration data. The proposed model can attentively aggregate the information of neighbor nodes through migration weights. Experimental results indicate that the proposed MAGCN can forecast PM2.5 concentration accurately.

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COVID-19 induced lockdown and decreasing particulate matter (PM10): An empirical investigation of an Asian megacity

Cited by 9 publications

References 47 publications

Indicators of Environmental Recovery during the Frist Lockdown of COVID-19 Pandemic: Is this a Permanent or a Temporary?

Indicators of Environmental Recovery during the Frist Lockdown of COVID-19 Pandemic: Is this a Permanent or a Temporary?

The Crucial Roles of Geospatial Techniques in The COVID-19 Fight : A Systematic Review

Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age

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