key: cord-0767208-59wel5o5
authors: Kanniah, Kasturi Devi; Zaman, Nurul Amalin Fatihah Kamarul; Kaskaoutis, Dimitris G.; Latif, Mohd Talib
title: COVID-19's impact on the atmospheric environment in the Southeast Asia region
date: 2020-05-25
journal: Sci Total Environ
DOI: 10.1016/j.scitotenv.2020.139658
sha: 074bf90e0cb13d8e41968c9a15d2f15316251cd5
doc_id: 767208
cord_uid: 59wel5o5

Abstract Since its first appearance in Wuhan, China at the end of 2019, the new coronavirus (COVID-19) has evolved a global pandemic within three months, with more than 4.3 million confirmed cases worldwide until mid-May 2020. As many countries around the world, Malaysia and other southeast Asian (SEA) countries have also enforced lockdown at different degrees to contain the spread of the disease, which has brought some positive effects on natural environment. Therefore, evaluating the reduction in anthropogenic emissions due to COVID-19 and the related governmental measures to restrict its expansion is crucial to assess its impacts on air pollution and economic growth. In this study, we used aerosol optical depth (AOD) observations from Himawari-8 satellite, along with tropospheric NO2 column density from Aura-OMI over SEA, and ground-based pollution measurements at several stations across Malaysia, in order to quantify the changes in aerosol and air pollutants associated with the general shutdown of anthropogenic and industrial activities due to COVID-19. The lockdown has led to a notable decrease in AOD over SEA and in the pollution outflow over the oceanic regions, while a significant decrease (27% - 30%) in tropospheric NO2 was observed over areas not affected by seasonal biomass burning. Especially in Malaysia, PM10, PM2.5, NO2, SO2, and CO concentrations have been decreased by 26–31%, 23–32%, 63–64%, 9–20%, and 25–31%, respectively, in the urban areas during the lockdown phase, compared to the same periods in 2018 and 2019. Notable reductions are also seen at industrial, suburban and rural sites across the country. Quantifying the reductions in major and health harmful air pollutants is crucial for health-related research and for air-quality and climate-change studies.

J o u r n a l P r e -p r o o f 3 accounting for 94% of the cases and 97% of the total deaths respectively (WHO, 2020) . As one of the most densely populated areas in the world, for constraining the fast spread of the disease, the SEA countries implemented a series of measures such as placing travel bans, closing international and inter-state boarders, quarantine residential areas, restriction in large-scale social movement and social gatherings (including religious activities) and implementing partial/full lockdown, which included suspension of operation of public transportations, industries, shopping centres, worship places, schools and other educational institutions.

In Malaysia, COVID-19 pandemic was first reported in January 2020 (Sipalan et al., 2020) .

However, the localized clusters began to emerge in March due to a massive religious gathering held near Kuala Lumpur in late February. Since the mid of March, active COVID-19 cases increased significantly and till 16 May 2020, the country has reported 6,855 confirmed cases and 112 deaths (WHO, 2020) . Consequently, the Malaysian government implemented the Movement Control Order (MCO) for two weeks starting from 18 March, which was then extended to until 9 June. With the movement control order, the Malaysian government shuts down public transport, educational institutes, busy central parks and other social interaction points in a way to curtail the spread and transmission of COVID-19.

As a result of the lockdown and the disruption in human and industrial activities in numerous countries around the world, a significant reduction in air pollution, especially in the concentration of NO 2 , has been noticed in China and several European and American countries (Shrestha et al., 2020; Tobias et al., 2020; Wang and Su, 2020; Zhang et al., 2020) . Recent studies by Muhammad et al. (2020) , Wang and Su (2020) and Dutheil et al. (2020) have reported a NO 2 reduction ranging between 20-30% in China, USA, Italy, Spain and France. Data collected by the Ozone Monitoring J o u r n a l P r e -p r o o f 5 chemical reactions in the atmosphere (Pandolfi et al., 2012; Henschel et al., 2015; Kharol et al., 2018; EPA, 2020) . Therefore, the use of AOD, although being a columnar quantity, may also detect changes in the concentrations of pollutant particles in the lower troposphere. Assessing the total amount of columnar aerosol is critical not only for studying its impact on human health but also on solar radiation, cloud condensation processes, and climate change over South and Southeast Asia (e.g. Dumka et al., 2015; Pani et al., 2016 Pani et al., , 2018 Singh et al., 2020) . Since the high pollution levels is a major environmental and health issue in SEA countries, it is essential to understand the degree and the spatial extent of the decrease in air pollutants and aerosols due to restriction measures during the COVID-19 period in spring 2020. Such findings can assist in formulating more stringent policies in the post COVID-19 period, in order to maintain an acceptable air quality in this region. This study aims to investigate the effect of MCO/lockdown measures on air quality in the SEA region using satellite remote sensing and ground-based measurements with special focus on Malaysia.

Himawari 8 is a Japanese weather satellite operated by the Japan Meteorological Agency. It was launched on 7 October 2014 and it carries the Advanced Himawari Imager (AHI) sensor, which operates at 16 bands from visible to infrared (Bessho et al., 2016) . The Level 3 (L3) product of Himawari-8 is an improved version of the L2 AOD product that minimized cloud contamination (Kikuchi et al., 2018) . This L3 product is reported every 1 hour and it has a spatial resolution of 5 km. Aerosol products (L2 V1.0, V2.1) from Himawari-8 have been compared and evaluated against AERONET and MODIS C6.1 aerosol products over Asia and the oceanic regions with satisfactory agreement . Furthermore, Himawari-8 observations have been widely used for aerosol studies and for estimations of solar radiation over East Asia Yan et al., 2018; Hou et al., 2020) . In this study, the Himawari-8 merged L3 AOD product, covering the period 15 July 2015 to 31 December 2019, was downloaded from the Japan Aerospace Exploration J o u r n a l P r e -p r o o f 6 Agency (JAXA) website (http://www.eorc.jaxa.jp/ptree/index.html). Himawari-8 AODs were first evaluated against AERONET AODs in order to assess their robustness to be used for studying the aerosol patterns and spatial-temporal variability over the SEA region.

AERONET (Aerosol Robotic NETwork) is a global network for ground-based aerosol monitoring using CIMEL sun photometer that provides AOD data at 7 wavelengths with a temporal resolution of 15 minutes under cloudless skies (Holben et al., 1998) . In this study, Level 2 (cloud screened and quality assured) data were used from 2 stations in Malaysia i.e. University Science Malaysia, Penang (5.36, 100.30) and Kuching (1.49, 110.35), 1 station (Songkhla) in southern Thailand (7.18, 100.60) and 1 station in Singapore (1.30, 103.78), in order to validate the Himawari-8

AODs during the period 15 July to 31 December 2019 for the Singapore station and from 15 July 2015 to 31 December 2018 for the rest.

The Himawari-8 L3 AOD at 500 nm was directly compared with the AERONET AODs. In order to collocate the Himawari-8 AOD, the AERONET data were averaged for ±30 minutes of the Himawari-8 overpass time (Zhang et al., 2019) . A single satellite pixel (fine scale AOD) that lies over or closest to the AERONET stations was used for the validation, a method similar to that adopted by Yang et al. (2020) and Emili et al. (2011) . Statistical measures such as the root mean square error (RMSE), relative bias (RB) and mean absolute error (MAE) were used to quantify the accuracy of the Himawari-8 L3 AOD against AERONET.

The tropospheric NO 2 column density is systematically measured by the Dutch-Finnish OMI sensor on board Aura satellite, which follows a sun-synchronous orbit with an equator crossing time near 13:45 local time (NASA, 2020) . OMI measures the backscattered radiation from the sun using spectral bands ranging from the ultraviolet (UV) to infrared wavelengths (Levelt et al., 2018) . In this study, NO 2 concentrations were obtained from the NASA website (https://so2.gsfc.nasa.gov/no2/no2_index.html). The NO 2 maps over SEA were produced using high resolution daily gridded at 0.1 x 0.1 spatial resolution, which is then averaged over a 15-day J o u r n a l P r e -p r o o f 7 window. Therefore, we produced maps that represent 1 March, 31 March, and 17 April (the latest available data at the time of writing the original manuscript). We also used NO 2 data averaged over 2015 -2019 (baseline) , in order to detect the absolute differences between 2020 and the baseline data. We did not use the NO 2 data from TROPOMI because data prior to 2020 is limited.

Furthermore, ground-based measurements of PM 10 and PM 2.5 concentrations, along with other pollution gases, such as SO 2 , NO 2 , CO and Ozone (O 3 ), were obtained from several monitoring stations across Malaysia operated by the Department of Environment (DOE) (Kanniah et al., 2016; Kamarul Zaman et al., 2017) . A total of 65 Continuous Air Quality Monitoring (CAQM) stations that are strategically located at residential, industrial, busy-traffic and rural areas provide systematic measurements of air pollution. The instruments and procedures used to regularly monitor the nearsurface atmospheric aerosols and pollutants in Malaysia are described in Kanniah el al. (2016) .

Initially, the Himawari-8 AODs were validated against AERONET AODs from three stations in the SEA region. The validation results show a good consistency between Himawari-8 L3 and AERONET AODs with R 2 =0.81, RMSE =0.13, MAE = 0.09, a bias of 1.38% and an overall overestimation of 1% (Suppl. Fig. 1 ). The excellent agreement between Himawari-8 AOD and AERONET data allows for using the satellite AOD to investigate the aerosol levels and variability in the SEA region before and during the COVID-19 period.

Composite AODs are examined and compared between three periods, covering 18 March to 30

April of the years 2018, 2019 and 2020, in order to reveal possible changes over the SEA region during the COVID-19 period in spring 2020 ( Fig. 1 ). It should be noted that for a detailed analysis and quantification of the impact of COVID-19 on the columnar AOD over SEA, climatological and meteorological factors should be taken into consideration as well as the effect of the extensive biomass burning in this season that are independent from the restriction measures and the general J o u r n a l P r e -p r o o f 8 lockdown. A qualitative overview shows that the SEA pollution outflow (Wang et al., 2015) over the oceanic regions has been reduced during 2020, compared to the previous years, as also observed over the southern China Sea due to restriction measures and the general lockdown in China Wang and Su, 2020) . Lower AODs are also seen over the northern Bay of Bengal, which is highly affected by the Ganges valley pollution outflow (Kharol et al., 2011; Srinivas and Sarin, 2014) . However, higher AODs over the northern parts of the peninsular SEA (northern Thailand and Laos) are seen in 2020, despite the restriction measures in anthropogenic activities and malfunction in industries. These high AODs, which are characteristic for the pre-monsoon season, are attributed to forest and vegetation fires (Biswas et al., 2015; Pani et al., 2018; Vandrevu et al., 2019) , being responsible for the haze conditions usually covering the whole Indochina (Gautam et al., 2013; Kanniah et al., 2016) .

Besides the large spatio-temporal variability in AOD over SEA, a close inspection into the major cities in the region ( Among the SEA countries, Malaysia enforced the movement control order (MCO) for a longer period, starting from 18 March until 6 June 2020. In addition, for a more detailed analysis over Malaysia, which is only marginally affected by the forest and vegetation fires in the northern part of SEA, the AOD values were extracted for a single pixel Emili et al., 2011 ) that is located over or closest to the 65 monitoring stations including industrial (7), urban (10) cultivation, biogenic emissions, dust, peat and vegetation fires, which explain the comparable or even higher AODs than the urban sites, a large part of the significant AOD decrease at all sites is attributed to the general shutdown of the anthropogenic activities in order to restrict the expansion of COVID-19. In a previous study, it was shown that the PM 10 concentrations alone can explain about 60% of the variation in AOD over Malaysia (Kamarul Zaman et al., 2017) and, therefore, notable reductions in the near-surface aerosols are also detected in the columnar.

Nitrogen oxides (NO x ) are primarily emitted as NO from combustion sources i.e., vehicle exhausts, industries, power plants, residential heating (e.g. Dumka et al., 2019) and is converted to NO 2 after fast oxidation processes, which is recognized as a tracer of anthropogenic combustion activities and J o u r n a l P r e -p r o o f precursor of nitrate aerosol and ozone . As a major pollutant, NO 2 can cause respiratory diseases, asthma and cellular inflammation and is considered highly lethal to human health (Faustini et al., 2014; He et al., 2020) and harmful for the total environment through the formation of nitric acid (HNO 3 ) and acid rain (Kouvarakis et al., 2001; Zhang et al., 2020) .

Observations from Aura-OMI satellite sensor generally show a decrease in the concentrations of columnar NO 2 over the most parts of the SEA region in March and April 2020 compared to the mean 2015-2019 (Fig. 4) . The largest reductions are detected over and around major urban centres like Manila, Bangkok, Kuala Lumpur, Singapore, while over low-dense populated and forested areas in Sumatra and Borneo, changes in NO 2 are rather marginal. On contrary, the large increase in NO 2 concentrations over the northern part of SEA in March 2020 is characteristic for the high intensity of the forest and agricultural fires.

A more detailed visualization for the Aura-OMI tropospheric NO 2 concentrations over major cities in SEA is shown in Suppl. Fig. 2 . In general similarity to the AOD patterns observed over Manila, Kuala Lumpur and Singapore (Fig. 2) , the NO 2 concentrations recorded a large reduction during spring 2020 compared to the previous years. This decrease approached -34%, -27% and -30% over Manila, Kuala Lumpur and Singapore, respectively, on 17 April (15-day averages) compared to NO 2 baseline data (averaged over 2015-2019) (Table 1) , which is ascribed to shutting down of businesses and factories and restriction in traffic due to partial/general lockdown (Muhammad et al., 2020; Tosepu et al., 2020; Zhang et al., 2020) . Note that in the strait of Singapore, the reduction in NO 2 was much lower due to continuous emissions from shipping for the international trade (Suppl. Fig. 2 ). Other cities that also documented reduction in NO 2 levels during the same time period are Bangkok (-22%), Jakarta (-34%) and Phnom Penh (-6%) ( (Pani et al., 2018; Bukowiecki et al., 2019; Nguyen et al., 2019) . This is also supported by the large inter-annual and intra-seasonal variability in NO 2 levels around Vientiane, Laos due to severe biomass burning on certain periods, like 15-31 March 2020 (Suppl. Fig. 2) , which prevents the extraction of robust results regarding the impact of lockdown on atmospheric pollution. Tropospheric NO 2 levels are highly associated with biomass-burning activity over the SEA region (Itahashi et al., 2018; Ul-Haq et al., 2016 and

can be influenced by several other factors, including meteorology (such as insolation, precipitation, advection) and other pollution emissions. However, at local level, above and around the urban areas, NO 2 levels seem to be significantly lower in 2020 (Suppl. Fig. 2 ; Table 1 ).

This section investigates the changes in PM 10 and PM 2.5 concentrations and in air pollutant (NO 2 , SO 2 , CO, O 3 ) levels at 65 air-pollution monitoring stations located all over Malaysia and include industrial (7), urban (10), suburban (36) and rural (12) In general, the comparison shows a notable decrease in PM 10 , PM 2.5 and NO 2 concentrations at the industrial and urban sites during the MCO period. The PM 10 levels are much lower than the limit of 50 μg m -3 and in 2020 they are close to the 20 μg m -3 recommended by the WHO, indicating good air quality conditions across the country, with PM 2.5 levels below 25 μg m -3 . More specifically, the PM 10 concentrations reduced by 28-39% (statistically significant at 95% confidence level) at the industrial sites and by 26-31% in the urban areas (statistically significant at 95% confidence level) in 2020 compared to 2019 and 2018, respectively (Fig. 5a) . The respective reductions for PM 2.5 were found to be 19-42% at industrial and 23-32% at the urban sites (Fig. 5b) . Even larger decreases occurred in NO 2 levels, which have been reduced by 33-46% in the industrial areas and by 63-64% in the urban centres relative to 2018 and 2019 (Fig. 5c) . The respective decreases at the suburban and rural sites, not J o u r n a l P r e -p r o o f directly or less affected by anthropogenic emissions, were found to be slightly lower, since PM 10 revealed a decrease of 22-27% at suburban and 10-24% at rural sites, PM 2.5 a decrease of 15-28%

(suburban) and 4-27% (rural areas), while reductions in the range of 55-56% was found for NO 2 in the suburban areas and much lower (26-34%) at the rural background sites. During daytime, NO 2 reacts with OH radicals for the formation of HNO 3 , while at night-time, reactions with NO 3 radicals are an important source of HNO 3 , which is the precursor for nitrate aerosol (NO 3 -) formation (Sheinfeld and Pandis, 2016) . Therefore, the large reduction in NO 2 levels during the COVID-19

period may limit the built-up of HNO 3 and NO 3 aerosols (Bardouki et al., 2003; Cuccia et al., 2013; Titos et al., 2014) .

In addition, the limitation in combustion activities resulted in a decrease in CO levels, a direct pollutant from incomplete combustion sources (vehicular traffic and biomass burning). The reduction in CO is higher (25-32%) at the urban and suburban (25-27%) sites, whereas the rural background sites do not display any significant variability between the three years (6-7%), implying rather different sources of CO, most likely agricultural burning or even a rather stable background days in the free troposphere, so it presents mostly regional characteristics (Ealo et al., 2018) . As a major emission pollutant from stationary sources (industries and power plants), SO 2 displays reduction at the urban (9-20%) and suburban (17-19 %) sites in 2020 compared to 2019 and 2018, but not at industrial ones, since major power plants and industries were continuously operating for reasons of common good and welfare (Fig. 5e ). At the rural areas, SO 2 concentrations are more variable between the years and may be highly influenced by local/regional meteorology and downwind impact from nearby urban areas or industrial units (Collivignarelli et al., 2020) . In contrast, O 3 did not record significant changes in the examined periods between the years, since it's a secondary pollutant formatted by NO titration in the presence of UV light or via volatile organic J o u r n a l P r e -p r o o f 13 compounds (VOCs) (Reche et al., 2018) and its levels are kept mostly unchanged in Malaysia over a certain period of the year. However, a small increase (3-7%) was observed at the urban sites during 2020 (Fig. 5f ) due to reduction in NO levels, similarly to other urban environments (Dantas et al., 2020; Kerimray et al., 2020; Li et al., 2020; Nakada and Urban 2020; Tobias et al., 2020) . for after/before the MCO to be 0.9 at the industrial sites and 0.85 at the urban ones. As PM 10 and PM 2.5 may have various sources, apart from the anthropogenic ones, the MCO had a larger effect on the NO 2 levels. Therefore, in 2020, NO 2 has been reduced by 34% (54%) after the MCO compared to the period before at industrial (urban) sites, whilst the NO 2 ratios in 2019 were found to be 1.04 and 1.06, and those in 2018 were 1.17 and 1.00 for the industrial and urban sites, respectively. This analysis further highlights the significant decrease in NO 2 emissions at the industrial and urban areas in Malaysia, as a result of the restriction measures for preventing the dispersion of COVID-19.

During the last 1-2 months, several studies have been published dealing with the impact of the lockdown on air quality at several cities in developed and developing countries around the world.

Nearly all these studies revealed large declining trends in PM concentrations and in a series of air J o u r n a l P r e -p r o o f pollutants, with these trends being strongly related to the specific characteristics of each site, the relative influence from traffic and industrial sources, the impact of natural emissions (forest fires, desert dust) and the proximity to major power plants that are under continuous operation. This section discusses results from recent studies dealing with the decreasing trends in aerosols and air pollutants due to COVID-19 lockdown at several places around the world.

According to the Ministry of Ecology and Environment of China, (Report, 2020), the concentrations of six major air pollutants during the COVID-19 period (January -March 2020), have been drastically reduced compared to previous year(s), recording a mean reduction of -20% for PM 10 , -15% for PM 2.5 , -25% for NO 2 , -6% for CO, and -21% for SO 2 , while O 3 remained rather steady from year-to-year (Wang and Su, 2020) . Especially in Wuhan, where the general lockdown first established on 23 January 2020, the NO 2 levels have reduced by about 50% compared to the previous year (Wang and Su, 2020) . Another study , reported an average reduction of 52% in NO x emissions in east China during the period after the lockdown compared to the levels before. Average decreases of 24.7%, 13.7%, 6.8%, 5.9%, and 4.6%, for NO 2 , PM 10 , SO 2 , PM 2.5 and CO, respectively were reported in 44 cities in northern China (Bao and Zhang, 2020) , while significant reductions in air pollutants due to lockdown were also observed at the Yangtze River Delta, also captured by the WRF-CAMx model . However, nowadays, the NO x levels have been gradually regained in some Chinese provinces after the termination of the quarantine period and return-to-work day . Continuous monitoring of the pollution levels and future studies will reveal the degree of the pollution re-appearance over major urban areas in Malaysia as well, after the re-opening on the economy.

In India, PM 10 , PM 2.5 , NO 2 and CO concentrations analyzed during 16 March -14 April from 2017

to 2020 in 22 cities over the country revealed reductions by 43%, 31%, 18% and 10%, respectively during the lockdown period compared to previous years. On contrary, SO 2 exhibited marginal changes, whereas an increase of 17% was seen for O 3 . Other studies in Delhi, revealed maximum reductions for PM 10 and PM 2.5 concentrations (50%) compared to the pre-J o u r n a l P r e -p r o o f 15 lockdown period (Mahato et al., 2020) , while compared to 2019, PM 10 and PM 2.5 decreased by about 60% and 35-39%, respectively (Chauhan and Singh, 2020; Mahato et al., 2020) . In addition, NO 2 decreased by 52.7% and CO by 30.4% during the lockdown period (Mahato et al., 2020) .

Large reductions in CO (37.0% -64.8%) and NO 2 (24.1% -54.3%) levels were also observed in megacities in south America, like Rio de Janeiro (Dantas et al., 2020) and Sao Paolo (Nakada and Urban, 2020) , during the lockdown phase compared to the period before or previous years. In

Almaty, Kazakhstan, CO and NO 2 levels reduced by 49% and 35%, respectively during the lockdown compared to the 2018-2019 averages of the same period, while PM 2.5 reduced by 21% (Kerimray et al., 2020) .

The large atmospheric impact of COVID-19 in Barcelona, Spain was detected with a reduction of -45.4% in the BC concentrations and of -47.0% and -51.4% of the NO 2 levels at urban-background and traffic sites, respectively (Tobias et al., 2020) . Lower reductions in the PM 10 concentrations were recorded, in the range of 27.8% and 31.0% at urban-background and traffic sites, respectively, since PM 10 is related to several other sources like regional recirculation, dust resuspension or longrange transport, secondary aerosol formation, constructions, biogenic and marine emissions. This is in agreement with the lower (%) reductions in PM 10 and PM 2.5 concentrations in Malaysia compared to those of NO 2 . The daily O 3 levels in Barcelona increased by 29% to 58% at the urbanbackground and traffic sites (Tobias et al., 2020) , while at the urban sites in Malaysia, the average increase was much lower (7.3%). The increase in O 3 is mostly attributed to the large decrease in NO x levels within a VOCs limited urban environment, and to reduction in primary NO emissions that lower down the O 3 consumption via titration (Kerimray et al., 2020; Tobias et al., 2020) .

However, changes in O 3 may be also related to changes in insolation that facilitates its production.

In Milan, Italy, which has been severely affected by SARS-CoV2 (Conticini et al., 2020) , lockdown determined a period with a significant reduction in PM 10 , PM 2.5 , NO x , CO, black carbon and benzene levels, while SO 2 remained rather unchanged and O 3 increased due to lower NO concentrations (Collivignarelli et al., 2020) .

A new unpublished research at the time writing this article (Shrestha et al., 2020, Environ.Poll. submitted), analyzed the changes in concentrations of six air pollutants (PM 10 , PM 2.5 , NO 2 , SO 2 , CO and O 3 ) in 40 cities all over the world in February-March 2019 and 2020. In the majority of the cities, the 2020 levels were lower than those in 2019, while after lockdown, significant reductions in NO 2 , CO, PM 2.5 and PM 10 levels were found in 19, 9, 8 and 7 cities, respectively. Summarizing, the worldwide lockdown due to COVID-19 pandemic drastically reduced the anthropogenic emissions and air pollution, which, however, is diachronically responsible for acute health issues like chronic obstructive pulmonary disease, which increased significantly the mortality risk due to COVID-19.

In this study, the impact of the lockdown due to COVID-19 on the spatio-temporal variation of main atmospheric pollutants over SEA, and particularly in Malaysia, was investigated. 39% in the industrial and by 26-31% in the urban areas) and PM 2.5 (20-42% at industrial and 23-32% at urban sites) compared to previous years. A larger decrease occurred in NO 2 levels, which reduced by 33-46% in the industrial sites and by 64% in the urban centres. Lower reductions were observed for SO 2 and CO, while O 3 did not record significant changes over the years. The results of this study are indicative of the degree that the restriction measures and the regional lockdown due to COVID-19 affected the air pollution over a region with high levels of aerosols and pollutants from non-traffic and non-industrial activities. Therefore, aiming to evaluate the COVID-19 impact on air quality over the SEA region is a real challenge, especially during the pre-monsoon (March-April) period with extensive forest, vegetation and peat fires. Moreover, the role of meteorology has neither been evaluated nor quantified in this study and more detailed analysis is needed in the future. The beneficial for air quality restriction measures due to COVID-19 seem to be a unique opportunity for pollution-control policies and mitigating strategies against climate change over the SEA countries, although this is a very difficult and challenging task. 

Presumed Asymptomatic Carrier Transmission of COVID-19

Does lockdown reduce air pollution? Evidence from 44 cities in northern China

Chemical composition of size resolved atmospheric aerosols in the eastern Mediterranean during summer and winter

An introduction to Himawari-8/9-Japan's newgeneration geostationary meteorological satellites

Southeast Asian Smoke Haze: Fractionation of Particulate-Bound Elements and Associated Health Risk

Factors controlling vegetation fires in protected and non-protected areas of Myanmar

Effect of Large-scale Biomass Burning on Aerosol Optical Properties at the GAW Regional Station Pha Din

Decline in PM2.5 concentrations over major cities around the world associated with COVID-19

Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records

Lockdown for CoViD-2019 in Milan: What are the effects on air quality

Can atmospheric pollution be considered a co-factor in extremely high level of SARS-CoV-2 lethality in Northern Italy?

Does Air Pollution Influence COVID-19 Outbreaks? Atmosphere

Levels and major sources of PM2.5 and PM10 in Bangkok metropolitan region

Sizeresolved comprehensive characterization of airborne particulate matter

Studies of Atmospheric PM2.5 and its Inorganic Water Soluble Ions and Trace Elements around Southeast Asia: A review

The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro

Aerosol and pollutant characteristics in Delhi during a winter research campaign

COVID-19 as a factor influencing air pollution?

Impact of aerosol particle sources on optical properties in urban, regional and remote areas in the north-western Mediterranean

High spatial resolution aerosol retrieval with MAIAC: application to mountain regions

Characterization of aerosols over the Indochina peninsula from satellite-surface observations during biomass burning pre-monsoon season

Major atmospheric emissions from peat fires in Southeast Asia during non-drought years: evidence from the 2013 Sumatran fires

Nitrogen dioxide and mortality: review and metaanalysis of long-term studies

Effects of local, regional meteorology and emission sources on mass and compositions of particulate matter in Hanoi

Short-and intermediate-term exposure to NO2 and mortality: a multi-county analysis in China

Trends of nitrogen oxides in ambient air in nine European cities between

AERONET-a federated instrument network and data achieve for aerosol characterization

Estimation of Surface Downward Shortwave Radiation over China from Himawari-8 AHI Data Based on Random Forest

Clinical features of patients infected with 2019 novel coronavirus in Wuhan

Impacts of Biomass Burning Emissions on Tropospheric NO2 Vertical Column Density over Continental Southeast Asia

Estimating Particulate Matter using satellite based aerosol optical depth and meteorological variables in Malaysia

Overview of atmospheric aerosol studies in Malaysia: Known and unknown

Fine particulate matter in the tropical environment: monsoonal effects, source apportionment, and health risk assessment

Influence of continental advection on aerosol characteristics over Bay of Bengal (BoB) in winter: results from W-ICARB cruise experiment

Dry deposition of reactive nitrogen from satellite observations of ammonia and nitrogen dioxide over North America

Assessing air quality changes in large cities during COVID-19 lockdowns: The impacts of traffic-free urban conditions in Almaty

Improved hourly estimates of aerosol optical thickness using spatiotemporal variability derived from Himawari-8 geostationary satellite

Particulate air pollution in six Asian cities: spatial and temporal distributions, and associated sources

On the importance of atmospheric inputs of inorganic nitrogen species on the productivity of the eastern Mediterranean Sea

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): the epidemic and the challenges

The Ozone Monitoring Instrument: overview of 14 years in space

Air quality changes during the COVID-19 lockdown over the Yangtze River Delta Region: An insight into the impact of human activity pattern changes on air pollution variation

Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals

Impact of ambient air pollution and wheeze associated disorders in children in Southeast Asia: a systematic review and meta-analysis

Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi

Report on the State of Surface Water and Ambient Air Quality Nationwide in

COVID-19 pandemic and environmental pollution: A blessing in disguise?

COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state

Current Status of PM2.5 Pollution and its Mitigation in Vietnam

Summer ammonia measurements in a densely populated Mediterranean city

Radiative effect of springtime biomass-burning aerosols over northern Indochina during 7-SEAS/BASELInE 2013 campaign

Radiative response of biomass-burning aerosols over an urban atmosphere in northern peninsular Southeast Asia

Black carbon over an urban atmosphere in northern peninsular Southeast Asia: Characteristics, source apportionment, and associated health risks

Spatio-temporal patterns of high summer ozone events in the Madrid Basin

Atmospheric chemistry and physics: from air pollution to climate change

Effect of restricted emissions during COVID-19 on air quality in India

Synergistic Retrieval of Multi-temporal Aerosol Optical Depth over North China Plain Using Geostationary Satellite Data of Himawari-8

Lockdown caused by COVID-19 pandemic reduces air pollution in cities worldwide

Carbonaceous aerosol from open burning and its impact on regional weather in south Asia

Malaysia confirms first cases of coronavirus infection

Archived from the original on 18

World health organization declares global emergency: a review of the 2019 novel coronavirus (COVID-19)

Brown carbon in atmospheric outflow from the Indo-Gangetic Plain: Mass absorption efficiency and temporal variability

Identification of fine (PM1) and coarse (PM10-1) sources of particulate matter in an urban environment

Changes in air quality during the lockdown in Barcelona (Spain) one month into the SARS-CoV-2 epidemic

Correlation between weather and Covid-19 pandemic in Jakarta

Source indicators of biomass burning associated with inorganic salts and carboxylates in dry season ambient aerosol in Chiang Mai Basin

Spatiotemporal patterns of correlation between atmospheric nitrogen dioxide and aerosols over South Asia

Modeling of tropospheric NO2 column over different climatic zones and land use/land cover types in South Asia

Analysis of Southeast Asian pollution episode during June 2013 using satellite remote sensing datasets

Vegetation fires, absorbing aerosols and smoke plumecharacteristics in diverse biomass burning regions of Asia

Trends in Vegetation fires in South and Southeast Asian Countries

A preliminary assessment of the impact of COVID-19 on environment-A case study of China

Vertical Distribution and Columnar Optical Properties of Springtime Biomass-Burning Aerosols over Northern Indochina during 2014 7-SEAS Campaign

A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8

On airborne transmission and control of SARS-Cov-2

Evaluation and Comparison of Himawari-8 L2 V1.0, V2.1 and MODIS C6.1 aerosol products over Asia and the oceania regions

Assessment of Himawari-8 AHI Aerosol Optical Depth Over Land

NOx Emission Reduction and Recovery during COVID-19 in East China

The authors extend their thanks to the Ministry of Education, Malaysia via the Fundamental Research Grant (R.J130000.7852.5F216) and WNI WXBUNKA Foundation, Japan via research grant R.J130000.7352.4B406 and for providing research funding. We would like to thank the Japan Aerospace Exploration Agency (JAXA) and NASA for making Himawari-8 and OMI data available