Importance of Air Quality Measurements to Criteria, Standards and Implementation Plans

1972 ◽  
pp. 19-24
Author(s):  
Delbert S. Barth
Keyword(s):  
Air Quality ◽  
Air Quality Measurements ◽  
Implementation Plans ◽  
Quality Measurements

Provisioning the standard method for ensuring the reliability of indoor air quality measurements in public transportation

2020 ◽  
Vol 19 (1) ◽  
pp. 47-57
Author(s):  
Ho-Hyun Kim ◽  
◽  
Ho-Hyeong Yang ◽  
Jeong-Hun Lee ◽  
Sang-Hyeon Kang ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Standard Method ◽  
Public Transportation ◽  
Air Quality Measurements ◽  
Quality Measurements

scholarly journals The impact of measures to reduce ambient air PM<sub>10</sub> concentrations originating from road dust, evaluated for a street canyon in Helsinki

2019 ◽  
Vol 19 (17) ◽  
pp. 11199-11212 ◽  
Author(s):  
Ana Stojiljkovic ◽  
Mari Kauhaniemi ◽  
Jaakko Kukkonen ◽  
Kaarle Kupiainen ◽  
Ari Karppinen ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Street Canyon ◽  
Dust Emission ◽  
Road Dust ◽  
Ambient Air ◽  
Air Quality Measurements ◽  
Emission Models ◽  
The Impact ◽  
Quality Measurements

Abstract. We have numerically evaluated how effective selected potential measures would be for reducing the impact of road dust on ambient air particulate matter (PM10). The selected measures included a reduction of the use of studded tyres on light-duty vehicles and a reduction of the use of salt or sand for traction control. We have evaluated these measures for a street canyon located in central Helsinki for four years (2007–2009 and 2014). Air quality measurements were conducted in the street canyon for two years, 2009 and 2014. Two road dust emission models, NORTRIP (NOn-exhaust Road TRaffic Induced Particle emissions) and FORE (Forecasting Of Road dust Emissions), were applied in combination with the Operational Street Pollution Model (OSPM), a street canyon dispersion model, to compute the street increments of PM10 (i.e. the fraction of PM10 concentration originating from traffic emissions at the street level) within the street canyon. The predicted concentrations were compared with the air quality measurements. Both road dust emission models reproduced the seasonal variability of the PM10 concentrations fairly well but under-predicted the annual mean values. It was found that the largest reductions of concentrations could potentially be achieved by reducing the fraction of vehicles that use studded tyres. For instance, a 30 % decrease in the number of vehicles using studded tyres would result in an average decrease in the non-exhaust street increment of PM10 from 10 % to 22 %, depending on the model used and the year considered. Modelled contributions of traction sand and salt to the annual mean non-exhaust street increment of PM10 ranged from 4 % to 20 % for the traction sand and from 0.1 % to 4 % for the traction salt. The results presented here can be used to support the development of optimal strategies for reducing high springtime particulate matter concentrations originating from road dust.

scholarly journals An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives

Sensors ◽  
2016 ◽  
Vol 16 (7) ◽  
pp. 1072 ◽  
Author(s):  
Tommaso Villa ◽  
Felipe Gonzalez ◽  
Branka Miljievic ◽  
Zoran Ristovski ◽  
Lidia Morawska
Keyword(s):  
Air Quality ◽  
Unmanned Aerial Vehicles ◽  
Aerial Vehicles ◽  
Air Quality Measurements ◽  
Quality Measurements

scholarly journals THE ANALYSE OF AIR ENVIRONMENT QUALITY MONITORING IMPROVEMENT POSSIBILITIES

2015 ◽  
Vol 1 ◽  
pp. 273
Author(s):  
Gotfrīds Noviks ◽  
Andris Skromulis
Keyword(s):  
Air Quality ◽  
Air Pollutants ◽  
Quality Evaluation ◽  
Quality Monitoring ◽  
Dust Particles ◽  
Action Program ◽  
Air Quality Monitoring ◽  
Environment Quality ◽  
Air Quality Measurements ◽  
Quality Measurements

Paper presents the results of air pollution analyses during last 8 years in Rezekne city. There is carried out a research of atmospheric dust particles, found correlations between concentrations of different air pollutants. Is given overview about air quality measurements in other countries, pointed out air ionization importance on air quality evaluation. The aim of the research – to ground the extension of air quality monitoring indicators including parameters of the air ionisation and to work out an action program to improve an air quality in working areas and recreating zones.

scholarly journals The impact of measures to reduce road dust, evaluated for a street canyon in Helsinki

2018 ◽  
Author(s):  
Ana Stojiljkovic ◽  
Mari Kauhaniemi ◽  
Jaakko Kukkonen ◽  
Kaarle Kupiainen ◽  
Ari Karppinen ◽  
...  
Keyword(s):  
Air Quality ◽  
Street Canyon ◽  
Dispersion Model ◽  
Dust Emission ◽  
Optimal Strategies ◽  
Road Dust ◽  
Mean Values ◽  
Air Quality Measurements ◽  
The Impact ◽  
Quality Measurements

Abstract. We have evaluated numerically how effective a few selected measures would be for reducing road dust. The selected measures included the reduction of the use of studded tyres in light-duty vehicles and phasing-out of salt or sand in traction control. We have evaluated these measures for a street canyon location in central Helsinki, for four years (2007–2009 and 2014). Air quality measurements were conducted in the street canyon for two years, 2009 and 2014. Two road dust emission models, NORTRIP and FORE, were applied in combination with the street canyon dispersion model OSPM to compute the street increments of PM10 within the street canyon. The predicted concentrations were compared with the air quality measurements. Both models reproduced the seasonal variability of the PM10 concentrations but under-predicted the yearly mean values. It was found that the largest reductions of concentrations could potentially be achieved by reducing the fraction of vehicles that use studded tyres. For instance, a 30 % percent decrease in the number of vehicles using studded tyres would result in an average decrease of the non-exhaust increment of PM10 from 10 to 22 %, depending on the model used and the year considered. The corresponding decrease after removal of sanding and salting would be from 4 % and 20 % and from 0.1 % to 4 %, respectively. The results can be used for finding optimal strategies for reducing the high springtime particulate matter concentrations originated from road dust.

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