scholarly journals Outlier detection and gap filling methodologies for low-cost air quality measurements

2019 ◽  
Vol 21 (4) ◽  
pp. 701-713 ◽  
Author(s):  
Thor-Bjørn Ottosen ◽  
Prashant Kumar
Keyword(s):  
Air Quality ◽  
Data Processing ◽  
Outlier Detection ◽  
Low Cost ◽  
Gap Filling ◽  
Air Quality Measurements ◽  
Promising Solution ◽  
Quality Measurements

Data processing offers a promising solution to alleviate artifacts from low-cost air quality sensors.

Indoor air quality assessment in a residential apartment in Budapest

2021 ◽  
Author(s):  
Bushra Atfeh ◽  
Erzsébet Kristóf ◽  
Róbert Mészáros ◽  
Zoltán Barcza
Keyword(s):  
Air Quality ◽  
Data Processing ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Low Cost ◽  
Carbon Dioxide Concentration ◽  
Monitoring Network ◽  
Sampling Frequency ◽  
Irregular Sampling ◽  
Air Quality Measurements

<p>This work focuses on indoor air quality measurements carried out in an apartment in the suburban region of Budapest. The measurements were made by an IQAir AirVisual node air quality monitor which is a so-called low-cost sensor capable to monitor PM<sub>2.5</sub> and carbon dioxide concentration. In this study we analyze data measured during January 2017 that was characterized by an extreme air pollution episode in Budapest. The aim of the study was to calculate daily indoor PM<sub>2.5</sub> concentrations that are comparable with the outdoor concentrations provided by the official Hungarian Air Quality Monitoring Network. Given the fact that AirVisual Pro provides data with irregular sampling frequency, data processing is expected to influence the calculated daily mean concentrations.  The results indicated that the uneven sampling frequency characteristic of AirVisual node indeed causes problems during data processing and has an effect on the calculated means. We propose a ‘best method’ for data processing for sensors with irregular sampling frequency.</p>

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
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