Measuring and modelling the local-scale spatio-temporal variation of urban particle number size distributions and black carbon

Ruths, Matthias; Bismarck-Osten, Clemens von; Weber, Stephan

doi:10.1016/j.atmosenv.2014.07.020

Cited by 35 publications

(33 citation statements)

References 45 publications

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“…Tritscher et al (2013) generated challenging particles in the lab, and concentration linearity was maintained up to 10 6 particles cm -3 . In contrast, Ruths et al (2014) conducted their experiements in the field, and showed that deviations between NanoScan and the reference SMPS were 10% to 15%. Stabile et al (2014) found that NanoScan overestimated the total particle concentration for aggregate particles, such as fresh diesel emissions, and attributed this to pre-existing charges and the unipolar charger in NanoScan.…”

Section: Practical Comparison Of Nanoscan and Cpc With The Reference mentioning

confidence: 99%

“…In previous investigations, Tritscher et al (2013) and Ruths et al (2014) both reported good comparability of NanoScan to the TSI 3936 SMPS in measuring particle concentrations. Tritscher et al (2013) generated challenging particles in the lab, and concentration linearity was maintained up to 10 6 particles cm -3 .…”

Section: Practical Comparison Of Nanoscan and Cpc With The Reference mentioning

confidence: 99%

“…Assessment of the comparability and accuracy of paired portable CPCs of the same type (TSI 3007) with the size range of 10 nm to 1.0 µm shows inconsistency, with a mean difference of 22.9% compared with the laboratory-based SMPS (TSI 3936) (Liu et al, 2014). Metrological assessments have been conducted to characterize the performance of the TSI NanoScan SMPS with respect to the well-established laboratory-based SMPS (Tritscher et al, 2013;Ruths et al, 2014;Stabile et al, 2014). In practical terms, although the size distributions of aerosols in an indoor environment measured by the NanoScan were coincident with the reference SMPS, Yamada et al (2015) indicated the count concentration of particles with size ranges of 200 to 420 nm measured by the NanoScan was incomparably lower than the reference SMPS, probably due to the countable size being close to the upper size-specific limit.…”

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confidence: 99%

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Experimental Comparison of Two Portable and Real-Time Size Distribution Analyzers for Nano/Submicron Aerosol Measurements

Hsiao

Lee

Chen

et al. 2016

Aerosol Air Qual. Res.

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Two portable, battery powered particle size distribution analyzers, TSI NanoScan scanning mobility particle sizer (TSI NanoScan SMPS 3910, USA) and Kanomax Portable Aerosol Mobility Spectrometer (Kanomax PAMS 3300, Japan), have been recently introduced to the market. Both are compact and allow researchers to rapidly measure and monitor ambient or indoor ultrafine and nanoparticles in real time. In addition, both instruments apply the SMPS measuring scheme, utilizing a corona charger in place of a radioactive neutralizer, and are integrated with a hand-held condensation particle counter (CPC). In this study, the different designs, flow schemes, and operational settings of both instruments have been summarized based on the information released by the manufacturers and the available published literature. The performance characteristics and monitoring capability of these two portable ultrafine to nanoparticle sizers were investigated and compared to a reference TSI 3936 lab-based SMPS under identical conditions. Reasonable agreement was found between the three instruments in terms of their efficiency in sizing and counting polydispersed particles. Of the two portable analyzers, PAMS was able to provide a higher sizing resolution for monodispersed particle measurements than NanoScan, when operated under the High Mode (higher sheath to aerosol flow ratio).

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Section: Practical Comparison Of Nanoscan and Cpc With The Reference mentioning

confidence: 99%

Section: Practical Comparison Of Nanoscan and Cpc With The Reference mentioning

confidence: 99%

mentioning

confidence: 99%

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Experimental Comparison of Two Portable and Real-Time Size Distribution Analyzers for Nano/Submicron Aerosol Measurements

Hsiao

Lee

Chen

et al. 2016

Aerosol Air Qual. Res.

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“…1 Study area in Braunschweig, Germany. It is characterized by street canyons with high traffic intensities, residential areas, backyards and urban park areas (from Ruths et al 2014) MatterAerosol). Black carbon concentrations were measured with an aethalometer AE51 (MageeScientific).…”

Section: Study Area and Measurementsmentioning

confidence: 99%

“…1). The area was divided into 35 grid cells each 200 × 200 m whose midpoints represented the sampling point at which mobile measurements of particulate air pollutants were conducted (Ruths et al 2014). The sampling sites were established in six different urban settings, called 'microenvironments'.…”

Section: Study Area and Measurementsmentioning

confidence: 99%

Exploring the Benefits of 3D City Models in the Field of Urban Particles Distribution Modelling—A Comparison of Model Results

Ghassoun

Löwner

Weber

2014

Lecture Notes in Geoinformation and Cartography

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We present a comparison of a particles distribution model using 3D parameters derived from a CityGML-based 3D city model with an already advanced but 2D-based Land Use Regression model. Particles, especially ultrafine particles have significant influence on the health status of the urban population. Next to emission by cars and others, its distribution is tightly coupled to the local wind field and, therefore, to urban morphology influencing this wind field. However, 3D city models, especially CityGML have been almost ignored when modelling urban particles distribution. We introduce 3D parameters derived from a CityGML-based 3D city model in an already tested Land Use Regression model and explore the benefits of 3D city models in the field of particles distribution modelling, especially, by minimizing the number of parameters entered to the model and the good results that it has shown and explore the enhancement by combining both models.

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New Methods for Personal Exposure Monitoring for Airborne Particles

Koehler

Peters

2015

Curr Envir Health Rpt

103

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Airborne particles have been associated with a range of adverse cardiopulmonary outcomes, which has driven its monitoring at stationary, central sites throughout the world. Individual exposures, however, can differ substantially from concentrations measured at central sites due to spatial variability across a region and sources unique to the individual, such as cooking or cleaning in homes, traffic emissions during commutes, and widely varying sources encountered at work. Personal monitoring with small, battery-powered instruments enables the measurement of an individual’s exposure as they go about their daily activities. Personal monitoring can substantially reduce exposure misclassification and improve the power to detect relationships between particulate pollution and adverse health outcomes. By partitioning exposures to known locations and sources, it may be possible to account for variable toxicity of different sources. This review outlines recent advances in the field of personal exposure assessment for particulate pollution. Advances in battery technology have improved the feasibility of 24-hour monitoring, providing the ability to more completely attribute exposures to microenvironment (e.g., work, home, commute). New metrics to evaluate the relationship between particulate matter and health are also being considered, including particle number concentration, particle composition measures, and particle oxidative load. Such metrics provide opportunities to develop more precise associations between airborne particles and health and may provide opportunities for more effective regulations.

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Measuring and modelling the local-scale spatio-temporal variation of urban particle number size distributions and black carbon

Cited by 35 publications

References 45 publications

Experimental Comparison of Two Portable and Real-Time Size Distribution Analyzers for Nano/Submicron Aerosol Measurements

Experimental Comparison of Two Portable and Real-Time Size Distribution Analyzers for Nano/Submicron Aerosol Measurements

Exploring the Benefits of 3D City Models in the Field of Urban Particles Distribution Modelling—A Comparison of Model Results

New Methods for Personal Exposure Monitoring for Airborne Particles

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