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Characterization of Inhalation Exposure to Gaseous Elemental Mercury During Artisanal Gold Mining and E-Waste Recycling Through Combined Stationary and Personal Passive Sampling
Get PDFWhile occupational inhalation exposure to gaseous elemental mercury (GEM) has decreased in many workplaces as mercury is being removed from most products and processes, it continues to be a concern for those engaged in artisanal and small-scale gold mining or in recycling mercury-containing products. Recently, stationary and personal passive air samplers based on activated carbon sorbents and radial diffusive barriers have been shown to be suitable for measuring GEM concentrations across the range relevant for chronic health effects. Here, we used a combination of stationary and personal passive samplers to characterize the inhalation exposure to GEM of individuals living and working in two Ghanaian gold mining communities and working at a Norwegian e-waste recycling facility. Exposure concentrations ranging from 500 μg m−3 were observed, with the higher end of the range occurring in one gold mining community. Large differences in the GEM exposure averaged over the length of a workday between individuals can be rationalized by their activity and proximity to mercury sources. In each of the three settings, the measured exposure of the highest exposed individuals exceeded the highest concentration recorded with a stationary sampler, presumably because those individuals were engaged in an activity that generated or involved GEM vapors. High day-to-day variability in exposure for those who participated on more than one day, suggests the need for sampling over multiple days for reliable exposure characterization. Overall, a combination of personal and stationary passive sampling is a cost-effective approach that cannot only provide information on exposure levels relative to regulatory thresholds, but also can identify emission hotspots and therefore guide mitigation measures.acceptedVersio
Atmospheric corrosion due to amine emissions from carbon capture plants
Get PDFThe atmospheric corrosion due to pure amines emitted from carbon capture plants was investigated. Amine exposure was found to initially inhibit the corrosion of steel, by its film formation and alkalinity, but reduce corrosion product layers and lead to freezing point depression, which could in turn increase the corrosion. Very high amine doses were observed to dissolve the metal without the establishing of a corrosion layer. These effects seem much more pronounced on copper than on steel. Climate and air quality variations affect the steel corrosion much more than the expected maximum amine deposition from carbon capture plant emissions.publishedVersio
Microfluidic In Vitro Platform for (Nano)Safety and (Nano)Drug Efficiency Screening
Get PDFMicrofluidic technology is a valuable tool for realizing more in vitro models capturing cellular and organ level responses for rapid and animal‐free risk assessment of new chemicals and drugs. Microfluidic cell‐based devices allow high‐throughput screening and flexible automation while lowering costs and reagent consumption due to their miniaturization. There is a growing need for faster and animal‐free approaches for drug development and safety assessment of chemicals (Registration, Evaluation, Authorisation and Restriction of Chemical Substances, REACH). The work presented describes a microfluidic platform for in vivo‐like in vitro cell cultivation. It is equipped with a wafer‐based silicon chip including integrated electrodes and a microcavity. A proof‐of‐concept using different relevant cell models shows its suitability for label‐free assessment of cytotoxic effects. A miniaturized microscope within each module monitors cell morphology and proliferation. Electrodes integrated in the microfluidic channels allow the noninvasive monitoring of barrier integrity followed by a label‐free assessment of cytotoxic effects. Each microfluidic cell cultivation module can be operated individually or be interconnected in a flexible way. The interconnection of the different modules aims at simulation of the whole‐body exposure and response and can contribute to the replacement of animal testing in risk assessment studies in compliance with the 3Rs to replace, reduce, and refine animal experiments.publishedVersio
Measurements of SO2 in the surroundings of Elkem Carbon and REC Solar
Get PDFPå oppdrag fra Elkem Carbon AS har NILU utført målinger av SO2 i omgivelsene til Elkem Carbon og REC Solar i Vågsbygd (Kristiansand kommune). Bedriftene ble pålagt av Miljødirektoratet å gjennomføre SO2-målinger i omgivelsesluft. Målingene ble utført med SO2-monitor i boligområdet på Fiskåtangen (Konsul Wilds vei) og med passive SO2-prøvetakere ved 6 steder rundt bedriftene. Rapporten dekker målinger i perioden 1. januar 2020 – 31. desember 2020. Norske grenseverdier for luftkvalitet (SO2) ble overholdt ved Konsul Wilds vei for alle midlingsperioder krevet i forurensningsforskriften (årsmiddel, vintermiddel, døgnmiddel og timemiddel). De mest belastede stedene i måleperioden var Konsul Wilds vei og Fiskåveien rett sør for bedriftene.On behalf of Elkem Carbon AS, NILU has carried out measurements of SO2 in the surroundings of Elkem Carbon and REC Solar in Vågsbygd (Kristiansand municipality). The companies were ordered by the Norwegian Environment Agency to carry out SO2-measurements in ambient air. The measurements were performed with an SO2-monitor in the residential area at Fiskåtangen (Konsul Wilds vei) and with passive SO2-samplers at 6 locations around the industries. The report covers measurements in the period 1 January 2020 – 31 December 2020. Norwegian limit values for air quality (SO2) were complied with at Konsul Wilds vei for all averaging periods required by the air quality directive (annual average, winter average, daily average and hourly average). The most polluted locations during the measurement period were Konsul Wilds vei and Fiskåveien just south of the industries.publishedVersio
Luftkvalitet i Ny-Ålesund. Målinger av lokal luftkvalitet 2019 og 2020.
Get PDFThe concentrations of the measured components are generally low and below national limit values for the protection of human health and critical levels for the protection of vegetation. Wind from northern sectors gave the highest average concentrations of nitrogen oxides and sulfur dioxide, which indicates the power station and the harbour as possible sources. We also see single episodes of long-range transport of sulfur dioxide.De målte konsentrasjonene var generelt lave for alle komponenter og under nasjonale grenseverdier for beskyttelse av menneskets helse og økosystemet. Vind fra nordlige sektorer ga de høyeste gjennomsnittskonsentrasjonene av nitrogenoksider og svoveldioksid, noe som peker på kraftstasjonen og havnen som mulige kilder. Vi ser også enkelte episoder med langtransport av svoveldioksid.publishedVersio
SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe
Get PDFThis paper presents the validation results of Aerosol Optical Depth (AOD) retrieved from the Spinning Enhanced Visible Infrared Radiometer (SEVIRI) data using the near-real-time algorithm further developed in the frame of the Satellite-based Monitoring Initiative for Regional Air quality (SAMIRA) project. The SEVIRI AOD was compared against multiple data sources: six stations of the Aerosol Robotic Network (AERONET) in Romania and Poland, three stations of the Aerosol Research Network in Poland (Poland–AOD) and Moderate Resolution Imaging Spectroradiometer (MODIS) data overlapping Romania, Czech Republic and Poland. The correlation values between a four-month dataset (June–September 2014) from SEVIRI and the closest temporally available data for both ground-based and satellite products were identified. The comparison of the SEVIRI AOD with the AERONET AOD observations generally shows a good correlation (r = 0.48–0.83). The mean bias is 0.10–0.14 and the root mean square error RMSE is between 0.11 and 0.15 for all six stations cases. For the comparison with Poland–AOD correlation values are 0.55 to 0.71. The mean bias is 0.04–0.13 and RMSE is between 0.10 and 0.14. As for the intercomparison to MODIS AOD, correlations values were generally lower (r = 0.33–0.39). Biases of −0.06 to 0.24 and RMSE of 0.04 to 0.28 were in good agreement with the ground–stations retrievals. The validation of SEVIRI AOD with AERONET results in the best correlations followed by the Poland–AOD network and MODIS retrievals. The average uncertainty estimates are evaluated resulting in most of the AOD values falling above the expected error range. A revised uncertainty estimate is proposed by including the observed bias form the AERONET validation efforts.publishedVersio
The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2018
Get PDFParis Agreement. This study provides a consolidated synthesis of estimates for all anthropogenic and natural sources and sinks of CO2 for the European Union and UK (EU27 + UK), derived from a combination of state-of-the-art bottom-up (BU) and top-down (TD) data sources and models. Given the wide scope of the work and the variety of datasets involved, this study focuses on identifying essential questions which need to be answered to properly understand the differences between various datasets, in particular with regards to the less-well-characterized fluxes from managed ecosystems. The work integrates recent emission inventory data, process-based ecosystem model results, data-driven sector model results and inverse modeling estimates over the period 1990–2018. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported under the UNFCCC in 2019, aiming to assess and understand the differences between approaches. For the uncertainties in NGHGIs, we used the standard deviation obtained by varying parameters of inventory calculations, reported by the member states following the IPCC Guidelines. Variation in estimates produced with other methods, like atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), arises from diverse sources including within-model uncertainty related to parameterization as well as structural differences between models. In comparing NGHGIs with other approaches, a key source of uncertainty is that related to different system boundaries and emission categories (CO2 fossil) and the use of different land use definitions for reporting emissions from land use, land use change and forestry (LULUCF) activities (CO2 land). At the EU27 + UK level, the NGHGI (2019) fossil CO2 emissions (including cement production) account for 2624 Tg CO2 in 2014 while all the other seven bottom-up sources are consistent with the NGHGIs and report a mean of 2588 (± 463 Tg CO2). The inversion reports 2700 Tg CO2 (± 480 Tg CO2), which is well in line with the national inventories. Over 2011–2015, the CO2 land sources and sinks from NGHGI estimates report −90 Tg C yr−1 ± 30 Tg C yr−1 while all other BU approaches report a mean sink of −98 Tg C yr−1 (± 362 Tg of C from dynamic global vegetation models only). For the TD model ensemble results, we observe a much larger spread for regional inversions (i.e., mean of 253 Tg C yr−1 ± 400 Tg C yr−1). This concludes that (a) current independent approaches are consistent with NGHGIs and (b) their uncertainty is too large to allow a verification because of model differences and probably also because of the definition of “CO2 flux” obtained from different approaches. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.4626578 (Petrescu et al., 2020a).publishedVersio
Metode for høyoppløselige estimater fra byggeplasser. Fase I: Kartlegging av inngangsdata.
Get PDFThis report presents the results from exploring the available input data to develop a model for estimating air pollutants and GHG-emissions based on a bottom-up approach, including both exhaust and non-exhaust emissions. The availability of reliable input data is the limiting factor and the most critical part of designing such a bottom-up approach. In this study, we have focussed on assessing input data that allow defining; i) the exact location and area affected during building and construction; ii) the starting and finalization dates; iii) the type of construction activity; iv) the non-road mobile machinery (NRMM) activity within building and construction; v) roads in the vicinity of construction sites.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
Air quality at Bjørnheimveien 26
Get PDFNILU har blitt engasjert av Prem Partners II A/S for å vurdere utbredelse av luftsoner for dagens situasjon og en framtidig situasjon med foreslått boligblokk i Bjørnheimveien 26. Det er anvendt en Gaussisk spredningsmodell for linjekilder (Hiway-2). Når det tas hensyn til at E6 går på bru ved det aktuelle området, viser beregningene et vesentlig lavere konsentrasjonsnivå og dermed mindre utbredelse av rød og gul luftsone på bakkenivå. Videre viser beregningene at skjermingseffekten for eksisterende bebyggelse av en ny bygning er marginal. Dersom de samme forutsetningene om høyde av veg og høyde av terreng legges til grunn, viser beregningene god overenstemmelse med eksisterende luftsonekart.Prem Partners II A/S has commissioned NILU to evaluate the extent of air quality zones for the present situation concerning a possible new residential building in Bjørnheimveien 26. A Gaussian dispersion model for line sources has been applied (Hiway-2). The road E6 is in this area running over a bridge. If the elevation of E6 and the terrain around Bjørnheimveien is considered, the calculations show a significant reduction in the extend of red and yellow air quality zones at ground level. The effect of shielding existing houses from air pollution by the new building is marginal. The calculations show agreement with the current air quality map for the area when the default assumption of flat terrain is applied.publishedVersio
Spatial distribution of residential wood combustion emissions in the Nordic countries: How well national inventories represent local emissions?
Get PDFResidential wood combustion (RWC) is a major source of air pollutants in the Nordic and many other countries. The emissions of the pollutants have been estimated with inventories on several scopes, e.g. local and national. An important aspect of the inventories is the spatial distribution of the emissions, as it has an effect on health impact assessments. In this study, we present a novel residential wood combustion emission inventory for the Nordic countries based on national inventories and new gridding of the emissions. We compare the emissions of the Nordic inventory, and especially their spatial distribution, to local assessments and European level TNO-newRWC-inventory to assess the spatial proxies used. Common proxies used in the national inventories in the Nordic countries were building data on locations and primary heating methods and questionnaire-based wood use estimates for appliances or primary heating methods. Chimney sweeper register data was identified as good proxy data, but such data may not be available in an applicable format. Comparisons of national inventories to local assessments showed the possibility to achieve similar spatial distributions through nation-wide methods as local ones. However, this won't guarantee that the emissions are similar. Comparison to the TNO-newRWC-inventory revealed the importance of how differences between urban and rural residential wood combustion are handled. The comparison also highlighted the importance of local characteristics of residential wood combustion in the spatial distribution of emissions.publishedVersio