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Found 10360 publications. Showing page 382 of 415:

Publication  
Year  
Category

Primary Biological Aerosol Particle (PBAP) modelling in EMEP

Lange, Gunnar Felix; Simpson, David; Yttri, Karl Espen; Valdebenito, Alvaro; Oliviè, Dirk Jan Leo; Caspel, Willem van; Jaffrezo, Jean-Luc; Dominutti, Pamela; Uzu, Gaelle; Conil, Sébastien; Favez, Olivier; Fagerli, Hilde

2024

Atmospheric Microplastic in the Arctic and Mainland Norway; occurence, composition and sources

Herzke, Dorte; Schmidt, Natascha; Eckhardt, Sabine; Schulze, Dorothea; Evangeliou, Nikolaos

2024

Nasjonalt samfunnsoppdrag om sirkulær økonomi. Forslag til organisering.

Möller, Charlotta; Tarrasón, Leonor; Guerreiro, Cristina

Denne rapporten inneholder forslag til organisering av et mulig nasjonalt samfunnsoppdrag om sirkulærøkonomien. Vårt forslag til organisering av et nasjonalt samfunnsoppdrag om sirkulær økonomi skiller seg noe fra eksisterende organisering av de to andre nasjonale samfunnsoppdragene i Norge i at den baserer seg på å etablere en omstillingslab. Omstillingslaben vil ha en rolle som likner på den «operativ gruppe» i de andre to nasjonale samfunnsoppdragene, men som er større i omfang, og har konkrete mål for oppfølgings- og medvirkningsprosesser mot målbar transformasjon.

NILU

2024

Mapping Plastic and Plastic Additive Cycles in Coastal Countries: A Norwegian Case Study

Marhoon, Ahmed Mohamed Jaffar Marhoon A; Hernandez, Miguel Las Heras; Billy, Romain Guillaume; Mueller, Daniel Beat; Verones, Francesca

The growing environmental consequences caused by plastic pollution highlight the need for a better understanding of plastic polymer cycles and their associated additives. We present a novel, comprehensive top-down method using inflow-driven dynamic probabilistic material flow analysis (DPMFA) to map the plastic cycle in coastal countries. For the first time, we covered the progressive leaching of microplastics to the environment during the use phase of products and modeled the presence of 232 plastic additives. We applied this methodology to Norway and proposed initial release pathways to different environmental compartments. 758 kt of plastics distributed among 13 different polymers was introduced to the Norwegian economy in 2020, 4.4 Mt was present in in-use stocks, and 632 kt was wasted, of which 15.2 kt (2.4%) was released to the environment with a similar share of macro- and microplastics and 4.8 kt ended up in the ocean. Our study shows tire wear rubber as a highly pollutive microplastic source, while most macroplastics originated from consumer packaging with LDPE, PP, and PET as dominant polymers. Additionally, 75 kt of plastic additives was potentially released to the environment alongside these polymers. We emphasize that upstream measures, such as consumption reduction and changes in product design, would result in the most positive impact for limiting plastic pollution.

2024

Governance of advanced materials: Shaping a safe and sustainable future

Groenewold, Monique; Bleeker, Eric A.J.; Noorlander, Cornelle W.; Sips, Adriënne J.A.M.; Zee, Margriet van der; Aitken, Robert J.; Baker, James H.; Bakker, Martine I.; Bouman, Evert; Doak, Shareen H.; Drobne, Damjana; Dumit, Verónica I.; Florin, Marie-Valentine; Fransman, Wouter; Gonzalez, Mar M.; Heunisch, Elisabeth; Isigonis, Panagiotis; Jeliazkova, Nina; Jensen, Keld Alstrup; Kuhlbusch, Thomas; Lynch, Iseult; Morrison, Mark; Porcari, Andrea; Rodríguez-Llopis, Isabel; Pozuelo, Blanca M.; Resch, Susanne; Säämänen, Arto J.; Serchi, Tommaso; Soeteman-Hernandez, Lya G.; Willighagen, Egon; Dusinska, Maria; Scott-Fordsmand, Janeck J.

2024

Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI

Shetty, Shobitha; Schneider, Philipp; Stebel, Kerstin; Hamer, Paul David; Kylling, Arve; Berntsen, Terje Koren

Satellite observations from instruments such as the TROPOspheric Monitoring Instrument (TROPOMI) show significant potential for monitoring the spatiotemporal variability of NO2, however they typically provide vertically integrated measurements over the tropospheric column. In this study, we introduce a machine learning approach entitled ‘S-MESH’ (Satellite and ML-based Estimation of Surface air quality at High resolution) that allows for estimating daily surface NO2 concentrations over Europe at 1 km spatial resolution based on eXtreme gradient boost (XGBoost) model using primarily observation-based datasets over the period 2019–2021. Spatiotemporal datasets used by the model include TROPOMI NO2 tropospheric vertical column density, night light radiance from the Visible Infrared Imaging Radiometer Suite (VIIRS), Normalized Difference Vegetation Index from the Moderate Resolution Imaging Spectroradiometer (MODIS), observations of air quality monitoring stations from the European Environment Agency database and modeled meteorological parameters such as planetary boundary layer height, wind velocity, temperature. The overall model evaluation shows a mean absolute error of 7.77 μg/m3, a median bias of 0.6 μg/m3 and a Spearman rank correlation of 0.66. The model performance is found to be influenced by NO2 concentration levels, with the most reliable predictions at concentration levels of 10–40 μg/m3 with a bias of

2024

Estimating high resolution surface air pollutants using machine learning and satellites

Shetty, Shobitha; Schneider, Philipp; Stebel, Kerstin; Hamer, Paul David; Kylling, Arve; Berntsen, Terje Koren

2024

State of the Climate in 2023: The Arctic

Druckenmiller, Matthew L.; Thoman, Richard L.; Moon, Twila A.; Andreassen, Liss Marie; Ballinger, Thomas J.; Berner, Logan T.; Bernhard, Germar H.; Bhatt, Uma S.; Bigalke, Siiri; Bjerke, Jarle W.; Box, Jason E.; Brettschneider, Brian; Brubaker, Mike; Burgess, David; Butler, Amy H.; Christiansen, Hanne H; Dechame, Bertrand; Derksen, Chris; Divine, Dmitry; Jensen, Caroline Drost; Chereque, Alesksandra Elias; Epstein, Howard E.; Farrell, Sinead; Fausto, Robert S; Fettweis, Xavier; Fioletov, Vitali E.; Florentine, Caitlyn; Forbes, Bruce C.; Frost, Gerald V.; Gerland, Sebastian; Grooß, Jens-Uwe; Hanna, Edward; Hanssen-Bauer, Inger; Heatta, Maret Johansdatter; Hendricks, Stefan; Ialongo, Iolanda; Isaksen, Ketil; Jeuring, Jelmer; Jia, Gensuo; Johnsen, Bjørn; Kaleschke, Lars; Kim, Seong-Joong; Kohler, Jack; Labe, Zachary M.; Lader, Rick; Lakkala, Kaisa; Lara, Mark J.; Lee, Simon H.; Loomis, Bryant D.; Luks, Bartłomiej; Luojus, Kari; Macander, Matthew J.; Ricker, Robert; Svendby, Tove Marit; Tømmervik, Hans

2024

Polychlorinated alkanes in indoor environment: A review of levels, sources, exposure, and health implications for chlorinated paraffin mixtures

Ezker, Idoia Beloki; Yuan, Bo; Bohlin-Nizzetto, Pernilla; Borgen, Anders; Wang, Thanh

Polychlorinated n-alkanes (PCAs) are the main components of chlorinated paraffins (CPs) mixtures, that have been commonly grouped into short-chain (SCCPs, C10–13), medium-chain (MCCPs, C14–17), and long-chain (LCCPs, C18-30) CPs. PCAs pose a significant risk to human health as they are broadly present in indoor environments and are potentially persistent, bioaccumulative, and toxic. The lack of specific terminology and harmonization in analytical methodologies for PCA analysis complicates direct comparisons between studies. The present work summarizes the different methodologies applied for the analysis of PCAs in indoor dust, air, and organic films. The large variability between the reviewed studies points to the difficulties to assess PCA contamination in these matrices and to mitigate risks associated with indoor exposure. Based on our review of physicochemical properties of PCAs and previously reported sum of measurable S/M/LCCPs levels, the homologue groups PCAs–C10–13 are found to be mostly present in the gas phase, PCAs–C14–17 in particulate matter and organic films, and PCAs–C≥18 in settled dust. However, we emphasized that mapping PCA sources and distribution in the indoors is highly dependent on the individual homologues. To further comprehend indoor PCA distribution, we described the uses of PCA in building materials and household products to apportion important indoor sources of emissions and pathways for human exposure. The greatest risk for indoor PCAs were estimated to arise from dermal absorption and ingestion through contact with dust and CP containing products. In addition, there are several factors affecting indoor PCA levels and exposure in different regions, including legislation, presence of specific products, cleaning routines, and ventilation frequency. This review provides comprehensive analysis of available indoor PCA data, the physicochemical properties, applied analytical methods, possible interior sources, variables affecting the levels, human exposure to PCAs, as well as need for more information, thereby providing perspectives for future research studies.

2024

Data sharing for circular transition in healthcare. How could Digital Product Passport be applied for digital health devices?

Ducheyne, Els; Guerreiro, Cristina; Fernández, Elena; Junique, Marion; Hernandez, Miguel Las Heras

2024

Chemicals of Emerging Arctic Concern (CEACs) as local organic pollutants in the Arctic

Ali, Aasim M.; Kallenborn, Roland; Drotikova, Tatiana; Hartz, William Frederik

2024

An Introduction to prismAId

Boero, Riccardo

2024

Understudied BVOC emissions in Europe and their potential atmospheric impact

Hellén, Heidi; Tykkä, Toni; Schallart, Simon; Thomas, Steven; Aas, Wenche; Wegener, Robert; Salameh, Therese; Rissanen, Kaisa; Thakur, Roseline; Losoi, Mari; Laakso, Lauri; Seppälä, Jukka; Kraft, Kaisa; Hakola, Hannele; Praplan, Arnaud

2024

Forskere advarer mot giftstoffer som hoper seg opp i miljøet

Heimstad, Eldbjørg Sofie; Herzke, Dorte (interview subjects); Aukrust, Øyvind (journalist)

2024

The challenges of opportunistic sampling when comparing prevalence of plastics in diving seabirds: A multi-species example from Norway

Benjaminsen, Stine Charlotte; Dehnhard, Nina; Herzke, Dorte; Johnsen, Arild; Anker-Nilssen, Tycho; Bourgeon, Sophie; Collard, France; Langset, Magdalene; Christensen-Dalsgaard, Signe; Gabrielsen, Geir W.

There is a need for baseline information about how much plastics are ingested by wildlife and potential negative consequences thereof. We analysed the frequency of occurrence (FO) of plastics >1 mm in the stomachs of five pursuit-diving seabird species collected opportunistically.

Atlantic puffins (Fratercula arctica) found emaciated on beaches in SW Norway had the highest FO of plastics (58.8 %), followed by emaciated common guillemots (Uria aalge; 9.1 %) also found beached in either SW or SE Norway. No plastics were detected in razorbills (Alca torda), great cormorants (Phalacrocorax carbo), and European shags (Gulosus aristotelis) taken as bycatch in northern Norway. This is the first study to report on plastic ingestion of these five species in northern Europe, and it highlights both the usefulness and limitations of opportunistic sampling. Small sample sizes, as well as an unbalanced sample design, complicated the interpretation of the results.

2024

Air-soil cycling of oxygenated, nitrated and parent polycyclic aromatic hydrocarbons in source and receptor areas

Mwangi, John K.; Degrendele, Celine; Bandowe, Benjamin A. M.; Bohlin-Nizzetto, Pernilla; Halse, Anne Karine; Šmejkalová, Adela Holubová; Kim, Jun-Tae; Kukučka, Petr; Martiník, Jakub; Nežiková, Barbora Palátová; Přibylová, Petra; Prokeš, Roman; Sáňka, Milan; Tannous, Mariam; Vinkler, Jakub; Lammel, Gerhard

2024

Overview of and Lessons Learned from GAW’s Capacity Development Efforts

Steinbacher, Martin; Nicely, Julie M.; Benedetti, Angela; Böll, Sonja; Fiebig, Markus; Gao, Meng; Klausen, Jörg; Laj, Paolo; Moreno, Sergio; Pavlovic, Radenko; Rimmer, John; Sealy, Andrea; Volosciuk, Claudia; Baklanov, Alexander; Basart, Sara; Eckman, Richard; Lee, Haeyoung; Nickovic, Slobodan; Tong, Daniel; Gröbner, Julian; Kazadzis, Stelios

WMO

2024

An AI-Enhanced Systematic Review of Climate Adaptation Costs: Approaches and Advancements, 2010–2021

Boero, Riccardo

This study addresses the critical global challenge of climate adaptation by assessing the inadequacies in current methodologies for estimating adaptation costs. Broad assessments reveal a significant investment shortfall in adaptation strategies, highlighting the necessity for precise cost analysis to guide effective policy-making. By employing the PRISMA 2020 protocol and enhancing it with the prismAId tool, this review systematically analyzes the recent evolution of cost assessment methodologies using state-of-the-art generative AI. The AI-enhanced approach facilitates rapid and replicable research extensions. The analysis reveals a significant geographical and sectoral disparity in research on climate adaptation costs, with notable underrepresentation of crucial areas and sectors that are most vulnerable to climate impacts. The study also highlights a predominant reliance on secondary data and a lack of comprehensive uncertainty quantification in economic assessments, suggesting an urgent need for methodological enhancements. It concludes that extending analyses beyond merely verifying that benefits exceed costs is crucial for supporting effective climate adaptation. By assessing the profitability of adaptation investments, it becomes possible to prioritize these investments not only against similar interventions but also across the broader spectrum of public spending.

2024

Mapping socioeconomic exposure to climate change-related events - coastal floods in Norway

Barre, Francis Isidore; Bouman, Evert Alwin; Hertwich, Edgar; Moran, Daniel Dean

2024

Is Long-Range Transport Potential (LRTP) an effective screening criterion?

McLachlan, Michael S.; Breivik, Knut; Frank, Wania

2024

Leveraging digital product passports for automated environmental impact assessment using an information system

Mintjes, Berend A.; Li, Chen; Hischier, Roland; Merciai, Stefano; Bouman, Evert Alwin; Booto, Gaylord Kabongo; Booto, Stephanie

2024

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