scholarly journals Impact of COVID-19 Pandemic on Air Pollution in Poland Based on Surface Measurements and Satellite Data

2021 ◽  
Vol 21 ◽  
pp. 200472-200472
Author(s):  
Mikalai Filonchyk ◽  
Volha Hurynovich ◽  
Haowen Yan
Author(s):  
Nurul Amalin Fatihah Kamarul Zaman ◽  
Kasturi Devi Kanniah ◽  
Dimitris G Kaskaoutis

Author(s):  
V. P. Ustinov ◽  
E. L. Baranova ◽  
K. N. Visheratin ◽  
M. I. Grachev ◽  
A. V. Kalsin

The results of systematic (2003–2017) measurements of the total content and the volume mixing ratio of CO at Novolazarevskaya station with a spectrometer with a resolution of 0.2 cm– 1 are presented. The inverse problem of determining the total CO content, as well as interfering gases (H2O and N2O), was solved using the SFIT4 software package. Data analysis showed that over the measurement period the average total CO content at Novolazarevskaya amounted to (8 ± 2) 1017 molec/cm2, and the average volume mixing ratio amounted to (37 ± 8) ppb. The obtained data are compared with variations in the total content of CO in Arrival-Heights station, with MOPITT satellite data, as well as with surface values of CO concentration at Syova station. The maximum values of CO are observed in September, the minimum — in January–February. For all the considered series, the trends are insignificant, while there are periods of increased CO content (2010). In recent years (2014–2017) there is a tendency towards an increase in the minimum values of CO. For  Novolazarevskaya and  Arrival-Heights satellite data are characterized by the excess of over ground data, amounting to 19% and 14%, respectively, while there is a seasonal dependence of the deviation with the minimum in December–January. Surface measurements of the total CO content are in fairly good agreement at Novolazarevskaya and Arrival-Heights, and since 2010 the average deviation is 2.4%. The average value of the concentration of CO on Syova 51 ppb is higher than the average volume mixing ratio at Novolazarevskaya. According to the spectral, wavelet and composite analyzes, in all the considered series there are oscillations in the range of 6–45 months with closely coinciding periods and phases.


2014 ◽  
Vol 95 (9) ◽  
pp. 1325-1328
Author(s):  
Beth Newton ◽  
Sophie Cowie ◽  
Derk Rijks ◽  
Jamie Banks ◽  
Helen Brindley ◽  
...  

Solar cookers have the potential to help many of the world's poorest people, but the availability of sunshine is critical, with clouds or heavy atmospheric dust loads preventing cooking. Using wood for cooking leads to deforestation and air pollution that can cause or exacerbate health problems. For many poor people, obtaining wood is either time-consuming or expensive. Where conflicts have led to displaced people, wood shortages can become acute, leading to often violent clashes between locals and refugees. For many refugee women, this makes collecting wood a high-risk activity. For eight years, Agrometeorological Applications Associates and TchadSolaire (AAA/TS) have been training refugees to manufacture and use solar cookers in northeastern Chad, where there are more than 240,000 refugees. Solar cookers are cheap and simple to make. They are clean and safe, greatly reduce the need for wood, reduce conf licts, reduce the time girls spend collecting wood (thus favoring education), and allow pasteurization of water. Around 140,000 people in the area are now eating solar-cooked food. Using long-term records of direct sunshine from routine surface measurements and aerosol retrievals from SEVIRI on board Meteosat, we present a climatology of conditions suitable for solar cooking in North Africa and West Africa. Solar cookers could be widely used, on an average of about 90% of days in some locations, with large seasonal and spatial variations from changing solar elevations, dustiness, and cloudiness. The climatology will facilitate the future distribution of solar cookers by organizations such as AAA/TS, who work using high-tech information to improve the lives of millions utilizing simple technologies.


2011 ◽  
Vol 11 (20) ◽  
pp. 10637-10648 ◽  
Author(s):  
H. S. Marey ◽  
J. C. Gille ◽  
H. M. El-Askary ◽  
E. A. Shalaby ◽  
M. E. El-Raey

Abstract. Since 1999 Cairo and the Nile delta region have suffered from air pollution episodes called the "black cloud" during the fall season. These have been attributed to either burning of agriculture waste or long-range transport of desert dust. Here we present a detailed analysis of the optical and microphysical aerosol properties, based on satellite data. Monthly mean values of Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) at 550 nm were examined for the 10 yr period from 2000–2009. Significant monthly variability is observed in the AOD with maxima in April or May (~0.5) and October (~0.45), and a minimum in December and January (~0.2). Monthly mean values of UV Aerosol Index (UVAI) retrieved by the Ozone Monitoring Instrument (OMI) for 4 yr (2005–2008) exhibit the same AOD pattern. The carbonaceous aerosols during the black cloud periods are confined to the planetary boundary layer (PBL), while dust aerosols exist over a wider range of altitudes, as shown by Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) aerosol profiles. The monthly climatology of Multi-angle Imaging SpectroRadiometer (MISR) data show that the aerosols during the black cloud periods are spherical with a higher percentage of small and medium size particles, whereas the spring aerosols are mostly large non-spherical particles. All of the results show that the air quality in Cairo and the Nile delta region is subject to a complex mixture of air pollution types, especially in the fall season, when biomass burning contributes to a background of urban pollution and desert dust.


Eos ◽  
2015 ◽  
Vol 96 ◽  
Author(s):  
JoAnna Wendel

Invasions, armed conflict, sanctions, and economic distress correlate with cleaner air in high-resolution satellite data that reveal air quality at the individual city level.


Eos ◽  
2017 ◽  
Author(s):  
Sarah Witman

Researchers extend long-term aerosol records to the past 40 years by combining two existing algorithms to process satellite data over both land and sea.


Author(s):  
A. Fernandes ◽  
M. Riffler ◽  
J. Ferreira ◽  
S. Wunderle ◽  
C. Borrego ◽  
...  

Satellite data provide high spatial coverage and characterization of atmospheric components for vertical column. Additionally, the use of air pollution modelling in combination with satellite data opens the challenging perspective to analyse the contribution of different pollution sources and transport processes. The main objective of this work is to study the AOD over Portugal using satellite observations in combination with air pollution modelling. For this purpose, satellite data provided by Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) on-board the geostationary Meteosat-9 satellite on AOD at 550 nm and modelling results from the Chemical Transport Model (CAMx - Comprehensive Air quality Model) were analysed. The study period was May 2011 and the aim was to analyse the spatial variations of AOD over Portugal. In this study, a multi-temporal technique to retrieve AOD over land from SEVIRI was used. The proposed method takes advantage of SEVIRI's high temporal resolution of 15 minutes and high spatial resolution. <br><br> CAMx provides the size distribution of each aerosol constituent among a number of fixed size sections. For post processing, CAMx output species per size bin have been grouped into total particulate sulphate (PSO4), total primary and secondary organic aerosols (POA + SOA), total primary elemental carbon (PEC) and primary inert material per size bin (CRST_1 to CRST_4) to be used in AOD quantification. The AOD was calculated by integration of aerosol extinction coefficient (Qext) on the vertical column. The results were analysed in terms of temporal and spatial variations. The analysis points out that the implemented methodology provides a good spatial agreement between modelling results and satellite observation for dust outbreak studied (10th -17th of May 2011). A correlation coefficient of r=0.79 was found between the two datasets. This work provides relevant background to start the integration of these two different types of the data in order to improve air pollution assessment.


2021 ◽  
Vol 13 (21) ◽  
pp. 11777
Author(s):  
Sunbin Yoo ◽  
Shunsuke Managi

Motivated by the global fear of the Coronavirus-19 (COVID-19) pandemic, we investigated whether lockdowns save people from air pollution, notably from Nitrogen Dioxide (NO2). Using daily satellite data from the National Aeronautics and Space Administration (NASA), we first found that the global NO2 tropospheric vertical column density (TVCD) decreased by 16.5% after the Coronavirus-19 (COVID-19) outbreak. Then, we calculated the global health benefits, as the monetized value of life, using the value of a statistical life (VSL). The total global health benefits were approximately 8.73 trillion USD, accounting for 10% of the global GDP; such benefits would be the largest in China, followed by the United States, Japan and Germany. Our results suggest that lockdowns may bring benefits to countries that policy interventions cannot easily bring, thus highlighting the importance of social distancing.


Sign in / Sign up

Export Citation Format

Share Document