Publications

Arctic Aerosol Model Validation and Evidence for Deposition Ice Nucleation over Siberia

Zamora, Lauren M; Kahn, Ralph; Evangeliou, Nikolaos; Zwaaftink, Christine Groot

Archetypes of Spatial Concentration Variability of Organic Contaminants in the Atmosphere: Implications for Identifying Sources and Mapping the Gaseous Outdoor Inhalation Exposome

Zhan, Faqiang; Li, Yuening; Shunthirasingham, Chubashini; Oh, Jenny; Lei, Ying Duan; Lu, Zhe; Ben Chaaben, Amina; Lee, Kelsey; Gobas, Frank A. P. C.; Hung, Hayley; Breivik, Knut; Wania, Frank

Whereas inhalation exposure to organic contaminants can negatively impact human health, knowledge of their spatial variability in the ambient atmosphere remains limited. We analyzed the extracts of passive air samplers deployed at 119 unique sites in Southern Canada between 2019 and 2022 for 353 organic vapors. Hierarchical clustering of the obtained data set revealed four archetypes of spatial concentration variability in the outdoor atmosphere, which are indicative of common sources and similar atmospheric dispersion behavior. “Point Source” signatures are characterized by elevated concentration in the vicinity of major release locations. A “Population” signature applies to compounds whose air concentrations are highly correlated with population density, and is associated with emissions from consumer products. The “Water Source” signature applies to substances with elevated levels in the vicinity of water bodies from which they evaporate. Another group of compounds displays a “Uniform” signature, indicative of a lack of major sources within the study area. We illustrate how such a data set, and the derived spatial patterns, can be applied to support the identification of sources, the quantification of atmospheric emissions, the modeling of air quality, and the investigation of potential inequities in inhalation exposure.

Appropriate Assimilation Methods for Air Quality Prediction and Pollutant Emission Inversion. An Urban Data Assimilation Systems Report.

Hamer, Paul David; Walker, Sam-Erik; Schneider, Philipp

Rapporten presenterer en oversikt over dataassimilasjonsmetoder som kan anvendes for luftkvalitetsmodellering. Innledningsvis beskrives kort historisk bakgrunn for bruk av dataassimilasjon i numerisk værvarsling, der vi legger vekt på forskjellene mellom anvendelse av assimilasjon i meteorologiske varslingsmodeller og i spredningsmodeller for luftkvalitet. Basert på disse forskjellene beskrives så ønskede egenskaper til assimilasjonsmetoder for luftkvalitetsmodellering. Deretter gis en oversikt over tilgjengelige assimilasjonsmetoder, der vi søker å identifisere de mest aktuelle for vårt bruk som grunnlag for videre anvendelser i prosjektet.

NILU

Approaching complexities in health and environment. Proceedings from HENVINET (Health and Environment Network) final conference. Brussels, Belgium 14-15 April 2010. Environmental Health, vol. 11, suppl. 1

Bartonova, A.; Koppe, J.G.; Fucic, A.; Gutleb, A.; van den Hazel, P.; Keune, H. (eds.)

Approaches to integrated monitoring for environment and health impact assessment. NILU F

Liu, H.-Y.; Bartonova, A.; Dusinska, M.

Approaches to integrated monitoring for environment and health impact assessment. NILU PP

Liu, H.-Y.; Bartonova, A.

Applying model calculations to estimate urban air quality with respect to the requirements of the EU directives on NO2, PM10 and C6H6.

Laupsa, H.; Slørdal, L.H.

Applying model calculations to estimate future urban air quality with respect to the requirements of the EU directives on NO2 and PM10.

Slørdal, , L. H.

Applying Adverse Outcome Pathways to evaluate the Health Impact of Environmental Chemicals

Murugadoss, Sivakumar; Rundén-Pran, Elise; Dusinska, Maria

Applications of the comet assay in human biomonitoring. Issues in toxicology, 30

Collins, A. R.; Dusinska, M.

Applications of satellite observations of volcanic ash in atmospheric dispersion modeling.

Wilkins, K.L.; Benedetti, A.; Kristiansen, N.I.; Lange, A.C.

Applications of inverse modelling for understanding of emissions and analysis of observations. NILU F

Thompson, R.; Stohl, A.; Pisso, I.; Myhre, C.L. et al.

Application of Visual Basic (VB) scripting and comprehensive GC GC TOF for the identification of new halogenated contaminants in Norwegian ambient air samples.

Röhler, L.; Kallenborn, R.; Schlabach, M.