AMBIENT PARTICULATE MATTER (PM10 AND PM2.5) AIR POLLUTION IN DESNIANSKY DISTRICT IN KYIV

2017 ◽  
Vol 2017 (67) ◽  
pp. 31-37
Author(s):  
O. Turos ◽  
◽  
T. Maremukha ◽  
I. Kobzarenko ◽  
A. Petrosian ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Ambient Particulate Matter ◽  
Pm10 And Pm2.5

scholarly journals Interventions to reduce ambient particulate matter air pollution and their effect on health

2019 ◽  
Author(s):  
Jacob Burns ◽  
Hanna Boogaard ◽  
Stephanie Polus ◽  
Lisa M Pfadenhauer ◽  
Anke C Rohwer ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Ambient Particulate Matter

scholarly journals Association between COVID-19, mobility and environment in São Paulo, Brazil

2021 ◽  
Author(s):  
Sergio Ibarra-Espinosa ◽  
Edmilson Dias de Freitas ◽  
Karl Ropkins ◽  
Francesca Dominici ◽  
Amanda Rehbein
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Relative Humidity ◽  
Residential Mobility ◽  
Additive Model ◽  
Sao Paulo ◽  
São Paulo ◽  
Ambient Particulate Matter ◽  
Mobility Index ◽  
Small Increments

AbstractBackgroundBrazil, the country most impacted by the coronavirus disease 2019 (COVID-19) on the southern hemisphere, use intensive care admissions per day, mobility and other indices to control quarantines and prevent the transmissions of SARS-CoV2.In this study we quantified the associations between residential mobility index (RMI), air pollution, meteorology, and daily cases and deaths of COVID-19 in São Paulo, BrazilObjectivesTo estimate the associations between daily residential mobility index (RMI), air pollution, and meteorology, and daily cases and deaths for COVID-19 in São Paulo, Brazil.MethodsWe applied a semiparametric generalized additive model (GAM) to estimate: 1) the association between residential mobility index and cases and deaths due to COVID-19, accounting for ambient particulate matter (PM2.5), ozone (O3), relative humidity, temperature and delayed exposure between 3-21 days and 2) the association between exposure to for ambient particulate matter (PM2.5), ozone (O3), accounting for relative humidity, temperature and mobility.ResultsWe found an RMI of 45.28% results in 1,212 cases (95% CI: 1,189 to 1,235) and 44 deaths (95% CI: 40 to 47). Reducing mobility 5% would avoid 438 cases and 21 deaths. Also, we found that an increment of 10 μg·m-3 of PM2.5 risk of 1.140 (95% CI: 1.021 to 1.274) for cases and of 1.086 (95% CI: 1.008 to 1.170) for deaths, while O3 produces a relative risk of 1.075 (95% CI: 1.006 to 1.150) for cases and 1.063 (95% CI: 1.006 to 1.124) for deaths, respectively.DiscussionWe compared our results with observations and literature review, finding well agreement. These results implicate that authorities and policymakers can use such mobility indices as tools to support social distance activities and assess their effectiveness in the coming weeks and months. Small increments of air pollution pose a risk of COVID-19 cases.ConclusionSpatial distancing is a determinant factor to control cases and deaths for COVID-19. Small increments of air pollution result in a high number of COVID-19 cases and deaths. PM2.5 has higher relative risks for COVID-19 than O3.

scholarly journals Monitoring and Trend Analysis of Air-Borne Particulate Matter (PM10 and PM2.5) at Major Hot-Spot Areas: Mohakhali and Farmgate in Dhaka City

2010 ◽  
pp. 61-67
Author(s):  
Md Mominur Rahman ◽  
Feroz Kabir ◽  
Bilkis Ara Begum ◽  
Swapan Kumar Biswas
Keyword(s):  
Particulate Matter ◽  
Chemical Engineering ◽  
Hot Spot ◽  
Anthropogenic Activities ◽  
Pollution Level ◽  
Ambient Particulate Matter ◽  
Pm10 And Pm2.5 ◽  
Guideline Values ◽  
Ambient Concentrations ◽  
Sampling Duration

The objectives of this work were to monitor and quantify the airborne particles (PM10 and PM2.5) and topredict the influence of human and natural activities on their ambient concentrations. Samples of Air-borneParticulate Matter (APM) in the size range 0-2.5 μm (PM2.5) and 0-10 μm (PM10) were collectedsimultaneously using two MiniVol portable air samplers at Mohakhali and Farmgate area in Dhaka city.At Mohakhali effective sampling duration was from May 16 to May 23, 2004 and at Farmgate from June 6to June 13, 2004. Continuous seven day monitoring was carried out to find the effect of meteorology, trafficload and other anthropogenic activities on ambient Particulate Matter (PM) pollution level. Weekday andweekend average traffic number was evaluated by field technicians at both sampling sites. These sites areregarded heavily polluted because of the proximity of major roadways. Daily and weekly averageconcentrations of PM10 and PM2.5 at Mohakhali were found higher than USEPA and Bangladesh 24-hrsaverage guideline values but at Farmgate the concentrations were within the guideline values. Averageproportions of PM2.5 in PM10 were found higher at Farmgate than that at Mohakhali.Journal of Chemical Engineering Vol.ChE 24 2006 61-67

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