Mobile Measurements of Particulate Matter Concentrations in Urban Area

Mašić, Adnan; Pikula, Boran; Bibić, Dževad

doi:10.2507/28th.daaam.proceedings.063

Cited by 9 publications

(10 citation statements)

References 3 publications

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“…The lowcost PM sensors had good performance in field studies, compared to some scientific grade instruments (e.g., TEOM, Thermo Fischer Scientific Inc., USA) (Kelly et al, 2017;Zheng et al, 2018;Bulot et al, 2019;Sayahi et al, 2019). They have been also used for research on air quality and health risk assessment in different regions and countries, such as India, China, and the United States, in recent years (Masic et al, 2017;Sakhnini et al, 2018;Camprodon et al, 2019;Nelson et al, 2019).…”

Section: Vertical Profiles Of Pm Concentrations and Meteorological Pamentioning

confidence: 99%

Vertical Distribution of Particulate Matter and its Relationship with Planetary Boundary Layer Structure in Shenyang, Northeast China

Wang

et al. 2019

Aerosol Air Qual. Res.

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The impact of the planetary boundary layer (PBL) structure on the vertical distribution of aerosols in Northeast China, which experiences air pollution frequently in autumn and winter, is not well understood. We investigated the characteristics of the vertical distribution of particulate matter (PM 1 , PM 2.5 , and PM 10) mass concentrations and their relationships with PBL structures in Shenyang, a provincial capital city in Northeast China, using balloon sounding data collected during an intensive observation period in November 2018. Aerosols typically decreased with increases in height and were mostly distributed below 400 m at night and reached higher altitudes (~800 m) in the daytime due to convective turbulence. The concentration ratios of PM 1 /PM 2.5 and PM 2.5 /PM 10 measured about 0.6 and 0.8, respectively, below 0.6-1.0 km during the daytime, and below 0.5 km at nighttime. On average, stronger atmospheric stability resulted in greater vertical gradients and higher PM concentrations near the surface. During four air pollution episodes (November 1-4, 7-10, 14-15, and 25-27), when atmospheric stability was strong at night, aerosols tended to remain in a shallow stable surface layer (< 300 m) and at the bottom of a residual layer (250-500 m) due to weak vertical mixing. After sunrise, these aerosols were mixed uniformly in the PBL (the depth increasing from 200 m to more than 1 km), subsequently affecting surface air quality. In addition, strong wind speeds and wind shears caused by nocturnal low-level jets and cold front systems influenced the formation and evolution of air pollution episodes. These processes controlled aerosol transport/dispersion processes and can modify atmospheric stability and PBL height. These results have important implications for understanding the vertical distribution of aerosols, and the crucial roles that PBL structures play in modulating aerosol pollution in Shenyang.

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Section: Vertical Profiles Of Pm Concentrations and Meteorological Pamentioning

confidence: 99%

Vertical Distribution of Particulate Matter and its Relationship with Planetary Boundary Layer Structure in Shenyang, Northeast China

Wang

et al. 2019

Aerosol Air Qual. Res.

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“…Taking into account conclusions from our previous studies [5], [6] among all commercially available low-cost sensors, we have selected Plantower PMS5003 sensor. Main reasons for such choice are reliability of the sensors, consistence between units from different batches of sensors, well implemented digital interface and good mean time before failure (MTBF).…”

Section: Low-cost Sensor Of Choicementioning

confidence: 99%

“…We will try to answer this question in the present paper. There are many papers in which performance of low-cost aerosol sensors is evaluated, for example [3], [4], [5]. However, articles with long campaigns in realistic conditions are very rare.…”

Section: Introductionmentioning

confidence: 99%

On the Applicability of Low-cost Sensors for Measurements of Aerosol Concentrations

Mašić¹,

Bibić²,

Pikula³

2019

DAAAM Proceedings

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One of the most important parameters of air pollution, concentration of particulate matter suspended in the air (aerosols), is measured by means of low-cost sensors of latest generation. Such measurements have high resolution in both space and time, but there is a big question about applicability of low-cost sensors for measurements of aerosol concentrations that arise from the complexity of measurement technique, and inevitable errors associated. In this paper we analyze all aspects of applicability of low-cost sensors for long-term measurement campaigns.

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“…in realistic traffic conditions. The authors of this paper have already performed measurements of PM1, PM2.5 and PM10 concentrations in the air during drive of the vehicle on urban traffic roads, as it shown in the [6].…”

Section: Introductionmentioning

confidence: 99%

New Approach of Measuring Toxic Gases Concentrations: Application Examples

Bibić¹,

Pikula²,

Mašić³

et al. 2018

Proceedings of the 29th International DAAAM Symposium 2018

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Low-cost electrochemical sensors and in-house developed data acquisition system are used in two experiments, which reflect real-life scenarios of air pollution. Primary aim of this research is evaluation of the new approach for measuring the concentrations of toxic gases in realistic, everyday situations. These experiments include: continuous diurnal monitoring of toxic gases concentrations in public underground garage and mobile measurements of toxic gases concentrations on urban streets in real time using the motorbike as sensors' carrier.

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Mobile Measurements of Particulate Matter Concentrations in Urban Area

Cited by 9 publications

References 3 publications

Vertical Distribution of Particulate Matter and its Relationship with Planetary Boundary Layer Structure in Shenyang, Northeast China

Vertical Distribution of Particulate Matter and its Relationship with Planetary Boundary Layer Structure in Shenyang, Northeast China

On the Applicability of Low-cost Sensors for Measurements of Aerosol Concentrations

New Approach of Measuring Toxic Gases Concentrations: Application Examples

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