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Found 9758 publications. Showing page 166 of 391:

Publication  
Year  
Category

Microplastic in the surface waters of the Ross Sea (Antarctica): Occurrence, distribution and characterization by FTIR.

Cincinelli, A.; Scopetani, C.; Chelazzi, D.; Lombardini, E.; Martellini, T.; Katsoyiannis, A.; Fossi, M. C.; Corsolini, S.

2017

Microplastic Fiber Emissions From Wastewater Effluents: Abundance, Transport Behavior and Exposure Risk for Biota in an Arctic Fjord

Herzke, Dorte; Ghaffari, Peygham; Sundet, Jan Henry; Tranang, Caroline Aas; Halsband, Claudia

Microfibers (MF) are one of the major classes of microplastic found in the marine environment on a global scale. Very little is known about how they move and distribute from point sources such as wastewater effluents into the ocean. We chose Adventfjorden near the settlement of Longyearbyen on the Arctic Svalbard archipelago as a case study to investigate how microfibers emitted with untreated wastewater will distribute in the fjord, both on a spatial and temporal scale. Fiber abundance in the effluent was estimated from wastewater samples taken during two one-week periods in June and September 2017. Large emissions of MFs were detected, similar in scale to a modern WWTP serving 1.3 million people and providing evidence of the importance of untreated wastewater from small settlements as major local sources for MF emissions in the Arctic. Fiber movement and distribution in the fjord mapped using an online-coupled hydrodynamic-drift model (FVCOM-FABM). For parameterizing a wider spectrum of fibers from synthetic to wool, four different density classes of MFs, i.e., buoyant, neutral, sinking, and fast sinking fibers are introduced to the modeling framework. The results clearly show that fiber class has a large impact on the fiber distributions. Light fibers remained in the surface layers and left the fjord quickly with outgoing currents, while heavy fibers mostly sank to the bottom and deposited in the inner parts of the fjord and along the northern shore. A number of accumulation sites were identified within the fjord. The southern shore, in contrast, was much less affected, with low fiber concentrations throughout the modeling period. Fiber distributions were then compared with published pelagic and benthic fauna distributions in different seasons at selected stations around the fjord. The ratios of fibers to organisms showed a very wide range, indicating hot spots of encounter risk for pelagic and benthic biota. This approach, in combination with in-situ ground-truthing, can be instrumental in understanding microplastic pathways and fate in fjord systems and coastal areas and help authorities develop monitoring and mitigation strategies for microfiber and microplastic pollution in their local waters.

Frontiers Media S.A.

2021

Micronucleus assay applied to advanced in vitro lung models at ALI for nanotoxicity assessment

Elje, Elisabeth; Mariussen, Espen; Dusinska, Maria; Rundén-Pran, Elise

Elsevier

2021

Microfluidic In Vitro Platform for (Nano)Safety and (Nano)Drug Efficiency Screening

Kohl, Yvonne; Biehl, Margit; Spring, Sarah; Hesler, Michelle; Ogourtsov, Vladimir; Todorovic, Miomir; Owen, Joshua; Elje, Elisabeth; Kopecka, Kristina; Moriones, Oscar Hernando; Bastus, Neus G.; Simon, Peter; Dubaj, Tibor; Rundén-Pran, Elise; Puntes, Victor; William, Nicola; von Briesen, Hagen; Wagner, Sylvia; Kapur, Nikil; Mariussen, Espen; Nelson, Andrew; Gabelova, A; Dusinska, Maria; Velten, Thomas; Knoll, Thorsten

2021

Microfiber emissions from wastewater effluents: abundance, transport behavior and exposure risk for biota in an arctic fjord

Herzke, Dorte; Ghaffari, Peygham; Sundet, Jan Henry; Tranang, Caroline Aas; Halsband, Claudia

Microfibers (MF) are one of the major classes of microplastic found in the marine environment on a global scale. Very little is known about how they move and distribute from point sources such as wastewater effluents into the ocean. We chose Adventfjorden near the settlement of Longyearbyen on the Arctic Svalbard archipelago as a case study to investigate how microfibers emitted with untreated wastewater will distribute in the fjord, both on a spatial and temporal scale. Fiber abundance in the effluent was estimated from wastewater samples taken during two one-week periods in June and September 2017. Large emissions of MFs were detected, similar in scale to a modern WWTP serving 1.3 million people and providing evidence of the importance of untreated wastewater from small settlements as major local sources for MF emissions in the Arctic. Fiber movement and distribution in the fjord mapped using an online-coupled hydrodynamic-drift model (FVCOM-FABM). For parameterizing a wider spectrum of fibers from synthetic to wool, four different density classes of MFs, i.e., buoyant, neutral, sinking, and fast sinking fibers are introduced to the modeling framework. The results clearly show that fiber class has a large impact on the fiber distributions. Light fibers remained in the surface layers and left the fjord quickly with outgoing currents, while heavy fibers mostly sank to the bottom and deposited in the inner parts of the fjord and along the northern shore. A number of accumulation sites were identified within the fjord. The southern shore, in contrast, was much less affected, with low fiber concentrations throughout the modeling period. Fiber distributions were then compared with published pelagic and benthic fauna distributions in different seasons at selected stations around the fjord. The ratios of fibers to organisms showed a very wide range, indicating hot spots of encounter risk for pelagic and benthic biota. This approach, in combination with in-situ ground-truthing, can be instrumental in understanding microplastic pathways and fate in fjord systems and coastal areas and help authorities develop monitoring and mitigation strategies for microfiber and microplastic pollution in their local waters.

Frontiers Media S.A.

2021

Microclimates in museums, churches, and their impact on heritage materials.

Odlyha, M.; Jakiela, S.; Slater, J.M.; Theodorakopoulos, C.; Bozec, L.; Larsen, R.; Bergsten, C.J.; Dahlin, E.; Grøntoft, T.; Thickett, D.; Hackney, S.

2010

Micro plastic and fibres in the marine environment of Svalbard, Norway

Herzke, Dorte; Sundet, Jan Henry; Tranang, Caroline Aas

2018

MetVed v.2.0. Improvement and update of the MetVed emission model for residential wood combustion

Grythe, Henrik; Lopez-Aparicio, Susana

This report presents the update of the MetVed-model (Grythe et al., 2019). Among the updates are new emission factors and several new species that include climate gases (CO2, CH4 and N2O). There is now a new parameter that describes the emission altitude and a new and improved time variation. Activity data has been updated to the most recent year (2019), which also has required updates to the model and model input variables. The largest update has been the holiday cabin emission module, which is an entirely new addition. Emissions from cabins differ in several ways from residential emissions. The most notable difference is that cabins are spread over more rural areas and are more dispersed than the residential dwellings. The model differentiates alpine and coastal cabins, which is an important distinction as a high density of cabins exists along the coast and they are mainly used during summer.

NILU

2020

Methylmercury biomagnification in an Arctic pelagic food web.

Ruus, A.; Øverjordet, I.B.; Braaten, H.F.V.; Evenset, A.; Christensen, G.; Heimstad, E.S.; Gabrielsen, G.W.; Borgå, K.

2015

Methods for estimating air pollutant emissions. PART 1: Review and source of input data. NILU OR

Lopez-Aparicio, S.; Vogt, M.; Vo, D.T.

This report is part of the development of a National Modelling System for local air quality (the "Nasjonalt Beregningsverktøy" or NBV project). The work focussed on the methods to estimate emissions and identified the main information sources of the needed input data for emissions. This report presents the most common methods to determine emissions and includes recommendations for future improvement of the emission calculations. The main purpose of the report is to identify the most relevant sources of emission information and the emission input data requirements necessary for modelling air quality in Norwegian cities and agglomerations.

2015

Methods for dissemination of air quality information. NILU PP

Fløisand, I.; Endregard, G.

2005

Methods for air monitoring in Arctic areas. NILU OR

Yttri, K.E. (eds.) Fiebig, M.; Aspmo, K.; Schmidbauer, N.; Dye, C.; Prata, F.; Stohl, A.

2009

Methodological improvements on interpolating European air quality maps. ETC/ACC Technical Paper, 2009/16

Horálek, J.; de Smet, P.; de Leeuw, F.; Conková, M.; Denby, B.; Kurfürst, P.

2010

Method for retrieval of aerosol optical depth from multichannel irradiance measurements

Sztipanov, Milos; Li, Wei; Dahlback, Arne; Stamnes, Jakob J.; Svendby, Tove Marit; Stamnes, Knut

We present, to the best of our knowledge, a new method for retrieval of aerosol optical depth from multichannel irradiance measurements. A radiative transfer model is used to simulate measurements to create the new aerosol optical depth retrieval method. A description of the algorithm, simulations, proof of principle, merits, possible future developments and implementations is provided. As a demonstration, measurements in the New York City area are simulated based on the specific channel configuration of an existing multichannel irradiance instrument. Verification of the method with irradiance measurement data is also provided.

Optical Society of America

2023

Method for high resolution emission estimations from construction sites. Phase I: Mapping input data

Lopez-Aparicio, Susana; Grythe, Henrik

Denne rapporten presenterer resultatene fra analyse av tilgjengelige inngangsdata for å utvikle en modell for estimering av luftforurensende stoffer og klimagassutslipp basert på en «bottom-up»-tilnærming, inkludert både eksos- og ikke-eksosutslipp. Tilgjengeligheten av pålitelige inngangsdata er den begrensende faktoren og den mest kritiske delen av utformingen av en slik «bottom-up»-tilnærming. I denne studien har vi fokusert på å vurdere inngangsdata som gjør det mulig å definere; i) den nøyaktige plasseringen og området som påvirkes under bygging og konstruksjon, ii) start- og sluttdatoer; iii) typen byggeaktivitet; iv) aktiviteter med ikke-veigående mobile maskiner (NRMM) innen bygg og anlegg; v) veier i nærheten av byggeplasser.

NILU

2021

Method for development of high-resolution emissions from residential wood combustion

Grythe, Henrik; Vogt, Matthias; Lopez-Aparicio, Susana

2018

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