Publikasjoner

Using emission estimates as exposure metric: Respiratory disease and outdoor air pollution in Kanpur, India. NILU PP

Bartonova, A.; Liu, H.-Y.; Sharma, M.; Katiyar, K.; Dikshit, O.; Schindler, M.

Using European time use data for modelling individual exposure to air pollution. NILU F

Gerharz, L.E.; Loh, M.; Yang, A.; Kuhn, A.

Using Google Earth Engine Annual Embeddings to Characterize Urban NO₂: First Results from Ecuador and Germany

Alvarez, Cesar; Wurm, Michael; Schneider, Philipp

The AlphaEarth Foundations model, recently released in Google Earth Engine as annual satellite embeddings, provides a new way to work with multi-sensor Earth observation data. Each 10-m pixel is summarized as a 64-dimensional vector that captures the yearly trajectory of surface conditions using information learned from optical, radar, LiDAR, and other datasets, including climatic model outputs and digital terrain data. Rather than representing physical measurements directly, these embeddings condense complex spatial and temporal patterns into compact descriptors that can be used as inputs for machine-learning regression models. This allows researchers to explore environmental patterns—such as air quality—that are influenced by geographical, environmental, and meteorological conditions in cities.In this study, we evaluate whether these annual embeddings, represented as 64 bands (A00–A63), can describe spatial patterns of urban NO₂ without explicitly supplying additional land-use, meteorological, or emission datasets. We present first results from two contrasting environments: Quito, a high-altitude Andean basin in Ecuador, and Essen, a dense urban–industrial region in western Germany. Models trained only with the embedding bands and ground-based NO₂ observations reproduce meaningful spatial gradients in both cities, suggesting that the embeddings encode attributes relevant to emission intensity, urban structure, and pollutant dispersion.These early results highlight the potential of foundation-model satellite embeddings as lightweight, scalable predictors for urban air-quality analyses. They also show how these embeddings can be combined with advanced AI-based regression models, offering a new option for studying air pollution patterns in cities where data availability is often limited by the small number of air-quality monitoring stations.

Using life cycle assessment to inform municipal climate mitigation planning

Thorne, Rebecca Jayne; Bouman, Evert; Guerreiro, Cristina D.b.b.; Majchrzak, Anna; Calus, Sylwia

Local governments can play a key role in reducing emissions associated with local energy use. 17 Polish municipalities provided data on energy use and CO2 emissions for 2015. Life Cycle Assessment (LCA) was used to calculate lifecycle impact indicators for greenhouse gases, particulate matter, acidification and eutrophication associated with the annual energy demand in each municipality. Results showed that impacts from energy use increase almost proportionally with total energy used in the participating municipalities due to the heavy reliance on fossil fuels. Analysis of two municipalities of similar size showed that impacts can be attributed to different usage sectors. For one municipality, energy plans should focus on reducing emissions from private transport and associated fuel use. For the other, energy plans should focus on reducing energy demand from residential buildings. This means that a ‘one-size-fits-all’ energy plan, which may be developed at a national level, would not fit all municipalities. The application of LCA allows for identifying and informing energy planning with impact reduction potential for multiple environmental pressures. Analysis of the provided energy use and CO2 data showed large uncertainties in CO2 emission intensities and allowing for sufficient time and guidance in the energy and emissions accounting is recommended.

Using low-cost air quality sensors for personal exposure assessment

Schneider, Philipp; Castell, Nuria; Bartonova, Alena

Using models to screen the domain of industrial chemicals for potential environmental contaminants.

Sobek, A.; Arnot, J.A.; Breivik, K.; Brown, T.N.; Wania, F.; McLachlan, M.S.

Using proxies to elucidate environmental threats to endangered species.

Kylin, H.; Bouwman, H.; Evans, S.

Using self-organising maps to explore ozone profile validation results - SCIAMACHY limb compared to ground-based lidar observations.

van Gijsel, J.A.E.; Zurita-Milla, R.; Stammes, P.; Godin-Beekmann, S.; Leblanc, T.; Marchand, M.; McDermid, I.S.; Stebel, K.; Steinbrecht, W.; Swart, D.P.J.

Using solid-phase extraction cartridges for sampling of volatile polyfluorinated alkyl substances (PFAS) in indoor air.

Jahnke, A.; Berger, U.; Huber, S.; Kylin, H.; Temme, C.

Using UncertWeb for improved decision making. UncertWeb Consortium Deliverable 3.5.

Heuvelink, G.; Helle, K.; Pebesma, E.; Rasouli, S.; Stasch, C.; Truong, P.; Walker, S.E.

Ut mot norske butikker: – Det er kjempeskummelt

Skaar, Jøran Solnes (intervjuobjekt); Thistel, Rikard K. (journalist)

Utbygging av etappe 1 i Bjørvika. Beregning av luftforurensning. NILU OR

Tønnesen, D.

Beregninger av trafikkforurensning i forbindelse med utbygging av etappe 1 i Bjørvika er utført for nitrøse gasser og svevestøv. Beregningene viser at områder med høye konsentrasjoner er begrenset til sonen mellom Ekebergtunnelen og Festningstunnelens forlengelse.

Utilization of meandering in a receptor-oriented solution of the line source dispersion equation. Alliance for global sustainability bookseries, 17

Härkönen, J.; Berger, J.; Kauhaniemi, M.; Nikmo, J.; Karppinen, A.