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Found 10076 publications. Showing page 337 of 404:

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Can statistics of turbulent tracer dispersion be inferred from camera observations of SO2 in the ultraviolet? A modelling study

Kylling, Arve; Ardeshiri, Hamidreza; Cassiani, Massimo; Dinger, Anna Solvejg; Park, Soon-Young; Pisso, Ignacio; Schmidbauer, Josef Norbert; Stebel, Kerstin; Stohl, Andreas

Atmospheric turbulence and in particular its effect on tracer dispersion may be measured by cameras sensitive to the absorption of ultraviolet (UV) sunlight by sulfur dioxide (SO2), a gas that can be considered a passive tracer over short transport distances. We present a method to simulate UV camera measurements of SO2 with a 3D Monte Carlo radiative transfer model which takes input from a large eddy simulation (LES) of a SO2 plume released from a point source. From the simulated images the apparent absorbance and various plume density statistics (centre-line position, meandering, absolute and relative dispersion, and skewness) were calculated. These were compared with corresponding quantities obtained directly from the LES. Mean differences of centre-line position, absolute and relative dispersions, and skewness between the simulated images and the LES were generally found to be smaller than or about the voxel resolution of the LES. Furthermore, sensitivity studies were made to quantify how changes in solar azimuth and zenith angles, aerosol loading (background and in plume), and surface albedo impact the UV camera image plume statistics. Changing the values of these parameters within realistic limits has negligible effects on the centre-line position, meandering, absolute and relative dispersions, and skewness of the SO2 plume. Thus, we demonstrate that UV camera images of SO2 plumes may be used to derive plume statistics of relevance for the study of atmospheric turbulent dispersion.

2020

Can standard genotoxicity tests be applied to nanoparticles?

Magdolenova, Z.; Lorenzo, Y.; Collins, A.; Dusinska, M.

2012

Can plastic related chemicals be indicators of plastic ingestion in an Arctic seabird?

Collard, France; Tulatz, Felix; Harju, Mikael; Herzke, Dorte; Bourgeon, Sophie; Gabrielsen, Geir Wing

For decades, the northern fulmar (Fulmarus glacialis) has been found to ingest and accumulate high loads of plastic due to its feeding ecology and digestive tract morphology. Plastic ingestion can lead to both physical and toxicological effects as ingested plastics can be a pathway for hazardous chemicals into seabirds' tissues. Many of these contaminants are ubiquitous in the environment and the contribution of plastic ingestion to the uptake of those contaminants in seabirds’ tissues is poorly known. In this study we aimed at quantifying several plastic-related chemicals (PRCs) -PBDE209, several dechloranes and several phthalate metabolites- and assessing their relationship with plastic burdens (both mass and number) to further investigate their potential use as proxies for plastic ingestion. Blood samples from fulmar fledglings and liver samples from both fledgling and non-fledgling fulmars were collected for PRC quantification. PBDE209 and dechloranes were quantified in 39 and 33 livers, respectively while phthalates were quantified in plasma. Plastic ingestion in these birds has been investigated previously and showed a higher prevalence in fledglings. PBDE209 was detected in 28.2 % of the liver samples. Dechlorane 602 was detected in all samples while Dechloranes 601 and 604 were not detected in any sample. Dechlorane 603 was detected in 11 individuals (33%). Phthalates were detected in one third of the analysed blood samples. Overall, no significant positive correlation was found between plastic burdens and PRC concentrations. However, a significant positive relationship between PBDE209 and plastic number was found in fledglings, although likely driven by one outlier. Our study shows the complexity of PRC exposure, the timeline of plastic ingestion and subsequent uptake of PRCs into the tissues in birds, the additional exposure of these chemicals via their prey, even in a species ingesting high loads of plastic.

2024

Can low-cost sensors contribute to air quality assessment and citizen science?

Castell, N.; Lerner, U.; Fishbain, B.; Dauge, F. R.; Schneider, P.; Vogt, M.; Bartonova, A.

2016

Can low-cost air quality sensors help to monitor air pollution in cities?

Castell, Nuria; Schneider, Philipp; Vogt, Matthias; Dauge, Franck Rene; Lahoz, William A.; Bartonova, Alena

2018

Can low-cost air quality sensors help citizens to create smart cities? NILU F

Castell, N.; Liu, H.-Y.; Kobernus, M.; Schneider, P.; Lahoz, W.; Grossberndt, S.; Bartonova, A.

2014

Can low-cost air quality sensor platforms help to build healthier cities?

Castell, N.; Schneider, P.; Vogt, M.; Dauge, F.R.; Lahoz, W.; Grossberndt, S.; Bartonova, A.

2017

Can low-cost air quality sensor platforms help to build healthier cities?

Castell, Nuria; Schneider, Philipp; Vogt, Matthias; Dauge, Franck Rene; Lahoz, William A.; Grossberndt, Sonja; Bartonova, Alena

2019

Can long-range atmospheric transport events of "new" POPs to a remote site in Norway be predicted using FLEXPART?

Möckel, Claudia; Eckhardt, Sabine; Krogseth, Ingjerd Sunde; Breivik, Knut

2019

Can further mitigation of ammonia emissions reduce exceedances of particulate matter air quality standards?

Bessagnet, B.; Beauchamp, M.; Guerreiro, C.; de Leeuw, F.; Tsyro, S.; Colette, A.; Meleux, F.; Rouïl, L.; Ruyssenaars, P.; Sauter, F.; Velders, G.J.M.; Foltescu, V.L.; van Aardenne, J.

2014

Can floating car data help improving traffic emissions estimates?

Castell, N.; Vogt, M.; Thanh, D. Vo, Lopez-Aparicio, S.; Sundvor, I.

2016

2011

Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?

Castell, N.; Dauge, F.R.; Schneider, P.; Vogt, M.; Lerner, U.; Fishbain, B.; Broday, D.; Bartonova, A.

2017

Can car air filters be useful as a sampling medium for air pollution monitoring purposes?

Katsoyiannis, A.; Birgul, A.; Ratola, N.; Cincinelli, A.; Sweetman, A.J.; Jones, K.C.

2012

CAMS Assessment Report on European Air Quality 2024

Hamer, Paul David; Fjæraa, Ann Mari; Colette, Augustin; Tarrasón, Leonor (eds.)

The full report provides reference information on air quality in Europe in 2024. The purpose of the report is to present a consistent and accurate estimate of European air quality focusing on key indicators and on the origin of selected pollution episodes. It is intended to support air quality experts in their reporting under air quality legislation by providing an overview over the status of European transboundary air pollution. It contains updated information on key indicators for background air quality for the main regulatory pollutants: ozone (O3), nitrogen dioxide (NO2), particulate matter of 10 micrometres or less in diameter (PM10) and particulate matter of 2.5 micrometres or less in diameter (PM2.5).

Copernicus Atmosphere Monitoring Service (CAMS)

2025

Campaign database. ESA-SP531

Krognes, T.; Vik, A.F.

2003

Camera observation and modelling of 4D tracer dispersion in the atmosphere.

Stebel, K.; Stohl, A.; Cassiani, M.; Ardeshiri, H.; Dinger, A. S.; Kylling, A.; Park, S.-Y.; Pisso, I.; Schmidbauer, N.

2017

Camera observation and modelling of 4D tracer dispersion in the atmosphere

Stebel, Kerstin; Cassiani, Massimo; Ardeshiri, Hamidreza; Bernardo, Cirilo; Dinger, Anna Solvejg; Kylling, Arve; Park, Soon-Young; Pisso, Ignacio; Schmidbauer, Norbert; Stohl, Andreas

2020

CALIOP near-real-time backscatter products compared to EARLINET data.

Grigas, T.; Hervo, M.; Gimmestad, G.; Forrister, H.; Schneider, P.; Preißler, J.; Tarrasón, L.; O'Dowd, C.

2015

Calibration, electrophoresis and reference cells: opportunities and pitfalls.

Brunborg, G.; Collins, A.; Lakså, S.M.B.; Magdolenova, Z.; Fjellsbø, L.M.; Hylland, K.; Sallette, J.; Gutzkow, K.B.

2009

Calibration strategies for low-cost compact field sensors in Citizen Science Air Quality measurements: Insights from SOCIO-BEE project

Kotzagianni, Maria; Hassani, Amirhossein; Morresi, Nicole; Udina, Sergi; Kyfonidis, Charalampos; Roussos, Anargyros; Casaccia, Sara; Revel, Gian Marco; Noriega-Ortega, Beatriz

2023

Calibration of CO, NO2, and O3 Using Airify: A Low-Cost Sensor Cluster for Air Quality Monitoring

Ionascu, Marian-Emanuel; Castell, Nuria; Boncalo, Oana; Schneider, Philipp; Darie, Marius; Marcu, Marius

During the last decade, extensive research has been carried out on the subject of low-cost sensor platforms for air quality monitoring. A key aspect when deploying such systems is the quality of the measured data. Calibration is especially important to improve the data quality of low-cost air monitoring devices. The measured data quality must comply with regulations issued by national or international authorities in order to be used for regulatory purposes. This work discusses the challenges and methods suitable for calibrating a low-cost sensor platform developed by our group, Airify, that has a unit cost five times less expensive than the state-of-the-art solutions (approximately €1000). The evaluated platform can integrate a wide variety of sensors capable of measuring up to 12 parameters, including the regulatory pollutants defined in the European Directive. In this work, we developed new calibration models (multivariate linear regression and random forest) and evaluated their effectiveness in meeting the data quality objective (DQO) for the following parameters: carbon monoxide (CO), ozone (O3), and nitrogen dioxide (NO2). The experimental results show that the proposed calibration managed an improvement of 12% for the CO and O3 gases and a similar accuracy for the NO2 gas compared to similar state-of-the-art studies. The evaluated parameters had different calibration accuracies due to the non-identical levels of gas concentration at which the sensors were exposed during the model’s training phase. After the calibration algorithms were applied to the evaluated platform, its performance met the DQO criteria despite the overall low price level of the platform.

2021

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