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Prøvetaking av PM10 i omgivelsene til Brevik bru. 22. sept – 5. okt 2021.

Hak, Claudia; Uggerud, Hilde Thelle; Andresen, Erik; Teigland, Even Kristian; Mortensen, Tore

NILU – Norsk institutt for luftforskning har, på oppdrag fra Statens vegvesen – Drift og vedlikehold sør, utført prøvetaking av PM10 i luft i omgivelsene til Brevik bru mellom Brevik og Stathelle. Målingene ble utført med filterprøvetakere ved 2 steder nedvinds for brua i forhold til lokale hovedvindretninger. Prøvene ble tatt hver dag i perioden 22. september – 5. oktober 2021 for å utrede i hvilken grad prosjekt Brevik bru påfører lokalt miljø støvforurensning som kan medføre helseplager. 18 av de 28 prøvene tatt ble analysert med hensyn på metaller. Det ble ikke funnet sammenheng mellom konsentrasjonsforskjell mellom de to målestedene og vindretning mot et av stedene for de målte komponent

NILU

2022

Decitabine potentiates efficacy of doxorubicin in a preclinical trastuzumab-resistant HER2-positive breast cancer models

Buociková, Verona; Longhin, Eleonora Marta; Pilalis, Eleftherios; Mastrokalou, Chara; Miklíková, Svetlana; Cihova, Marina; Poturnayova, Alexandra; Mackova, Katarina; Bábelová, Andrea; Trnkova, Lenka; El Yamani, Naouale; Zheng, Congying; Mondragon, Ivan Rios; Labudova, Martina; Csaderova, Lucia; Kuracinova, Kristina Mikus; Makovicky, Peter; Kučerová, Lucia; Matuskova, Miroslava; Cimpan, Mihaela-Roxana; Dusinska, Maria; Babal, Pavel; Chatziioannou, Aristotelis; Gábelová, Alena; Rundén-Pran, Elise; Smolkova, Bozena

Acquired drug resistance and metastasis in breast cancer (BC) are coupled with epigenetic deregulation of gene expression. Epigenetic drugs, aiming to reverse these aberrant transcriptional patterns and sensitize cancer cells to other therapies, provide a new treatment strategy for drug-resistant tumors. Here we investigated the ability of DNA methyltransferase (DNMT) inhibitor decitabine (DAC) to increase the sensitivity of BC cells to anthracycline antibiotic doxorubicin (DOX). Three cell lines representing different molecular BC subtypes, JIMT-1, MDA-MB-231 and T-47D, were used to evaluate the synergy of sequential DAC + DOX treatment in vitro. The cytotoxicity, genotoxicity, apoptosis, and migration capacity were tested in 2D and 3D cultures. Moreover, genome-wide DNA methylation and transcriptomic analyses were employed to understand the differences underlying DAC responsiveness. The ability of DAC to sensitize trastuzumab-resistant HER2-positive JIMT-1 cells to DOX was examined in vivo in an orthotopic xenograft mouse model. DAC and DOX synergistic effect was identified in all tested cell lines, with JIMT-1 cells being most sensitive to DAC. Based on the whole-genome data, we assume that the aggressive behavior of JIMT-1 cells can be related to the enrichment of epithelial-to-mesenchymal transition and stemness-associated pathways in this cell line. The four-week DAC + DOX sequential administration significantly reduced the tumor growth, DNMT1 expression, and global DNA methylation in xenograft tissues. The efficacy of combination therapy was comparable to effect of pegylated liposomal DOX, used exclusively for the treatment of metastatic BC. This work demonstrates the potential of epigenetic drugs to modulate cancer cells' sensitivity to other forms of anticancer therapy.

Elsevier

2022

Modified Target Diagram to check compliance of low-cost sensors with the Data Quality Objectives of the European air quality directive

Yatkin, Sinan; Gerboles, Michel; Borowiak, Annette; Davila, Silvije; Spinelle, Laurent; Bartonova, Alena; Dauge, Franck Rene; Schneider, Philipp; Van Poppel, Martine; Peters, Jan; Matheeussen, Christina; Signorini, Marco

The modified Target Diagram (MTD) was developed to evaluate the performance of low-cost sensors (LCS) for air quality monitoring in comparison with reference methods by reporting relative expanded uncertainty and its contributors. An MTD provides several pieces of information, including compliance with regulation, sources of error and how to diminish them, completeness and validity of LCS calibration etc. It allows the user to examine the effect of selecting different regression types and residual fitting on the LCS measurement uncertainty. The ordinary least squared regression with fitted residuals and dynamic between reference analyser uncertainty rather than constant ones yielded more realistic LCS measurement uncertainty compared to other options. The MTD is a fast visual tool to extract several pieces of information on evaluation of any candidate method against reference method.

Elsevier

2022

The HERMOSA initiative: Harmonising Environmental Research and Monitoring of Priority Pollutants in the Svalbard Atmosphere

Koziol, Krystyna; Kallenborn, Roland; Nawrot, Adam; NIkulina, Anna; Cappelletti, David; Larose, Catherine; Nikiforov, Vladimir; Zawierucha, Krzysztof; Luks, Bartek; Moroni, Beatrice

2022

Utslipp til luft fra Boliden Odda AS. Reviderte spredningsberegninger og konsekvensvurderinger av økte utslipp.

Weydahl, Torleif; Svendby, Tove Marit

NILU - Norsk Institutt for luftforskning har på oppdrag for Boliden Odda AS, utført sprednings- og avsetningsberegninger i forbindelse med utslipp fra sinkproduksjonsanlegget. Studien beregner luftkonsentrasjon og avsetning av svovel (forsuring) og konsentrasjon av metaller/svevestøv ved dagens sinkproduksjon og ved en planlagt utvidelse. Timesmiddel-, døgnmiddel- og årsmiddel-konsentrasjon av SO2 og PM10 er beregnet til å være innenfor grenseverdier og luftkvalitetskriterier ved dagens og utvidet produksjon. Beregningene viser mulig overskridelse av målsetningsverdien for kadmium ved en utvidelse av produksjonen. Utvidelse i produksjon gir et ytterligere bidrag til overskridelsen av tålegrensen (forsuring) i området rundt Odda. Økningen i avsetning forøvrig er beregnet å være i områder hvor tålegrensen er mer robust. Rapporten er en revisjon av NILU-rapport 3/2019.

NILU

2022

Six-week inhalation of lead oxide nanoparticles in mice affects antioxidant defense, immune response, kidneys, intestine and bones

Tulinska, Jana; Krivosikova, Zora; Liskova, Aurelia; Mikusova, Miroslava Lehotska; Masanova, Vlasta; Rollerova, Eva; Stefikova, Kornelia; Wsolova, Ladislava; Bábelová, Andrea; Tothova, Lubomira; Busova, Milena; Babickova, Janka; Uhnakova, Iveta; Alacova, Radka; Dusinska, Maria; Horvathova, Mira; Szabova, Michaela; Vecera, Zbynek; Mikuska, Pavel; Coufalik, Pavel; Krumal, Kamil; Alexa, Lukas; Piler, Pavel; Thon, Vojtech; Docekal, Bohumil

Royal Society of Chemistry (RSC)

2022

Machine learning-based stocks and flows modeling of road infrastructure

Ebrahimi, Babak; Rosado, Leonardo; Wallbaum, Holger

This paper introduces a new method to account for the stocks and flows of road infrastructure at the national level based on material flow accounting (MFA). The proposed method closes some of the current shortcomings in road infrastructures that were identified through MFA: (1) the insufficient implementation of prospective analysis, (2) heavy use of archetypes as a way to represent road infrastructure, (3) inadequate attention to the inclusion of dissipative flows, and (4) limited coverage of the uncertainties. The proposed dynamic bottom-up MFA method was tested on the Norwegian road network to estimate and predict the material stocks and flows between 1980 and 2050. Here, a supervised machine learning model was introduced to estimate the road infrastructure instead of archetypical mapping of different roads. The dissipation of materials from the road infrastructure based on tire–pavement interaction was incorporated. Moreover, this study utilizes iterative classified and regression trees, lifetime distributions, randomized material intensities, and sensitivity analyses to quantify the uncertainties.

John Wiley & Sons

2022

Fjernmåling av metanutslipp ved bruk av Sentinel-5P: en mulighetsstudie

Kylling, Arve; Stebel, Kerstin; Fjæraa, Ann Mari; Schneider, Philipp

2022

Increasing Trends of Legacy and Emerging Organic Contaminants in a Dated Sediment Core From East-Africa

Nipen, Maja; Vogt, Rolf David; Bohlin-Nizzetto, Pernilla; Borgå, Katrine; Mwakalapa, Eliezer Brown; Borgen, Anders Røsrud; Schlabach, Martin; Christensen, Guttorm; Mmochi, Aviti John; Breivik, Knut

Temporal trends of industrial organic contaminants can show how environmental burdens respond to changes in production, regulation, and other anthropogenic and environmental factors. Numerous studies have documented such trends from the Northern Hemisphere, while there is very limited data in the literature from sub-Saharan Africa. We hypothesized that the temporal trends of legacy and contemporary industrial contaminants in sub-Saharan Africa could greatly differ from the regions in which many of these chemicals were initially produced and more extensively used. For this purpose, a dated sediment core covering six decades from a floodplain system in urban Dar es Salaam, Tanzania, was analysed. The samples were analysed for selected legacy persistent organic pollutants (POPs) [polychlorinated biphenyls (PCBs) and polybrominated biphenyl ethers (PBDEs)] and chemicals of emerging concern (CECs) [alternative brominated flame retardants (aBFRs), chlorinated paraffins (CPs), and dechloranes]. All groups of chemicals showed a steep increase in concentrations towards the uppermost sediment layers reflecting the more recent years. Concentrations of the individual compound groups in surface sediment were found in the order CPs >> aBFRs ∼ ∑25PBDEs > dechloranes ∼ ∑32PCBs. Time trends for the individual compounds and compound groups differed, with ∑32PCBs showing presence in sediments since at least the early 1960s, while some CECs first occurred in sediments corresponding to the last decade. Investigations into potential drivers for the observed trends showed that socioeconomic factors related to growth in population, economy, and waste generation have contributed to increasing concentrations of PBDEs, aBFRs, CPs, and Dechlorane Plus. Further monitoring of temporal trends of industrial organic contaminants in urban areas in the Global South is recommended.

Frontiers Media S.A.

2022

Mapping global flying aircraft activities using Landsat 8 and cloud computing

Zhao, Fen; Xia, Lang; Kylling, Arve; Shang, Hua; Yang, Peng

Elsevier

2022

Source term determination with elastic plume bias correction

Tichý, Ondřej; Šmídl, Václav; Evangeliou, Nikolaos

2022

Longitudinal changes in concentrations of persistent organic pollutants (1986–2016) and their associations with type 2 diabetes mellitus

Charles, Dolley; Berg, Vivian; Nøst, Therese Haugdahl; Bergdahl, Ingvar A.; Huber, Sandra; Ayotte, Pierre; Wilsgaard, Tom; Averina, Maria; Sandanger, Torkjel M; Rylander, Charlotta

Elsevier

2022

Copernicus Atmosphere Monitoring Service. Interim Annual Assessment Report for 2020. European air quality in 2020

Tarrasón, Leonor; Hamer, Paul David; Guerreiro, Cristina; Meleux, Frédérik; Colette, Augustin; Rouïl, Laurence

Copernicus Atmosphere Monitoring Service

2021

Impacts of Short-lived Climate Forcers on Arctic Climate, Air Quality, and Human Health

Kupiainen, Kaarle; Eckhardt, Sabine; Flanner, Mark G. (eds.)

Arctic Monitoring and Assessment Programme (AMAP)

2021

High levels of emerging and legacy contaminants in stranded marine mammals from Norway

Andvik, Clare Margaret; Jourdain, Eve Marie; Lyche, Jan Ludvig; Harju, Mikael; Haug, Tore; Enge, Ellen Katrin; Karoliussen, Richard; Borgå, Katrine

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

Short-lived Climate Forcers

Szopa, Sophie; Naik, Vaishali; Adhikary, Bhupesh; Artaxo, Paulo; Berntsen, Terje Koren; Collins, William D; Fuzzi, Sandro; Gallardo, Laura; Kiendler-Scharr, Astrid; Klimont, Zbigniew; Liao, Hong; Unger, Nadine; Zanis, Prodromos; Aas, Wenche; et al, ...

2021

Global Carbon and Other Biogeochemical Cycles and Feedbacks

Canadell, Josep G.; Monteiro, Pedro M.S.; Costa, Marcos H.; Cox, Peter M.; Eliseev, Alexey; Henson, Stephanie; Ishii, Masao; Jaccard, Samuel; Koven, Charles; Lohila, Annalea; Patra, Prabir K.; Piao, Shilong; Rogelj, Joeri; Syampungani, Stephen; Zaehle, Sönke; Zickfeld, Kirsten; Thompson, Rona Louise; et al, ...

2021

European-wide city level air quality mapping. Evaluation of the current mapping methodology with respect to the level of cities and NUTS3 units and suggestions for future.

Horálek, Jan; Schneider, Philipp; Schreiberova, Marketa; Kurfürst, Pavel; Malherbe, Laure

The report evaluates current mapping methodology with respect to city- and NUTS3-levels mapping across Europe. It states that the current mapping can be used at the city and the NUTS3 levels, despite a mild smoothing effect at locations of the measurement stations. However, it suggests a post-processing correction based on the mapping residuals.

A potential new approach for the city ranking have been examined, namely the population-weighted concentration based on the mapping results. While the averaged measurement data from the background stations (as used in the current city ranking) provides a superior information for the whole city in general, the population-weighted concentration also well represents the whole city and gives a consistent information for all cities, including those without station measurements.

Next to this, alternative treatments of rural and urban stations has been evaluated. If the urban traffic areas should be better represented in the final maps, an increased map resolution is recommended.

Several possibilities of future development towards the European-wide city level mapping in a fine resolution have been suggested, namely exploitation of a high-resolution model output in the existing methodology, geostatistical downscaling of the existing spatial maps using fine-resolution proxy datasets and exploitation of existing low-cost sensor networks.

ETC/ATNI

2021

European air quality maps for 2019. PM10, PM2.5, Ozone, NO2 and NOx Spatial estimates and their uncertainties

Horálek, Jan; Vlasakova, Leona; Schreiberova, Marketa; Markova, Jana; Schneider, Philipp; Kurfürst, Pavel; Tognet, Frédéric; Schovánková, Jana; Vlcek, Ondrej

The report provides the annual update of the European air quality concentration maps and population exposure estimates for human health related indicators of pollutants PM10 (annual average, 90.4 percentile of daily means), PM2.5 (annual average), ozone (93.2 percentile of maximum daily 8-hour means, SOMO35, SOMO10) and NO2 (annual average), and vegetation related ozone indicators (AOT40 for vegetation and for forests) for the year 2019. The report contains also Phytotoxic ozone dose (POD) for wheat, potato and tomato maps and NOx annual average map for 2019. The POD map for tomato is presented for the first time in this regular mapping report. The trends in exposure estimates in the period 2005–2019 are summarized. The analysis is based on the interpolation of the annual statistics of the 2019 observational data reported by the EEA member and cooperating countries and other voluntary reporting countries and stored in the Air Quality e-reporting database. The mapping method is the Regression – Interpolation – Merging Mapping (RIMM). It combines monitoring data, chemical transport model results and other supplementary data using linear regression model followed by kriging of its residuals (residual kriging). The paper presents the mapping results and gives an uncertainty analysis of the interpolated maps. It also presents concentration change in 2019 in comparison to the five-year average 2014-2018 using the difference maps.

ETC/ATNI

2021

Air quality evolution and trends in Europe in 2005-2019 based on spatial maps. Trend analysis and population exposure using reconstructed consistent data fusion maps for PM10, ozone and NO2

Horálek, Jan; Schreiberova, Marketa; Volná, Vladimíra; Colette, Augustin; Schovánková, Jana; Vlasakova, Leona; Markova, Jana; Schneider, Philipp

This report analyses evolution and trends of air quality in Europe, based on a 15-year time series of spatial data fusion maps for the years 2005-2019. The analysis has been performed for PM10 annual average, the ozone indicator SOMO35 and NO2 annual average. For the purpose of the Eionet Report - ETC/ATNI 2021/11 trend analysis, a consistent reconstruction of the full 15-year time series of air quality maps has been performed, based on a consistent mapping methodology and input data. For the reconstruction, the Regression – Interpolation – Merging Mapping (RIMM) methodology as routinely used in the regular European-wide annual mapping has been applied.

The trend analysis has been performed based on time series of the aggregated data for individual countries, for large European regions and for the entire mapping area, both for spatial and population-weighted aggregations. In addition, maps of trends have been constructed based on the trend estimates for all grid cells of a map.

For the European-wide aggregations across the whole mapping area, statistically significant downward trend have been estimated for PM10 and NO2, while no significant trend was detected in the case of ozone.

ETC/ATNI

2021

Interim European air quality maps for 2020. PM10, NO2 and ozone spatial estimates based on non-validated UTD data.

Horálek, Jan; Schreiberova, Marketa; Vlasakova, Leona; Hamer, Paul David; Schneider, Philipp; Markova, Jana

The report provides interim 2020 maps for PM10 annual average, NO2 annual average and the ozone indicator SOMO35. The maps have been produced based on non-validated Up-To-Date data reported to the AQ e-reporting database (data flow E2a), the CAMS Ensemble Forecast modelling data and other supplementary data including air quality data reported to EMEP. In addition to concentration maps, the inter-annual differences between the years 2019 and 2020 are presented (using the 2019 regular and the 2020 interim maps), as well as European exposure estimates based on the interim maps. The contribution of lockdown measures connected with the Covid-19 pandemic on the change of air pollutant concentrations during the exceptional year 2020 is briefly discussed. The decrease in road transport, aviation and international shipping intensity during the lockdown resulted in a reduction of the NOx emission, mainly in large cities and urbanized areas. Compared to 2019, a general decrease in NO2 annual average concentrations is shown for 2020, as well as a decrease in values of the ozone indicator SOMO35, apart from areas with a steep NO2 decrease. Due to the chemical processes, the decrease in NOX resulted in an ozone increase in these areas. The contribution of lockdown measures on the change of PM10 concentrations is quite complex. On the one hand, there was a decrease in emissions of suspended particles and their precursors due to decrease in transport. On the other hand, higher intensity of residential heating likely led to higher emissions of both suspended particles and their precursors.

ETC/ATNI

2021

Benzo(a)pyrene (BaP) annual mapping. Evaluation of its potential regular updating.

Horálek, Jan; Schreiberova, Marketa; Schneider, Philipp

The report examines the potential regular production of benzo(a)pyrene (BaP) maps at the European scale in line with the operational production of other air quality maps. Stations measuring BaP are relatively scarce at the European scale, so in order to extend the spatial coverage, so-called pseudo station data have been calculated and used together with the actual BaP measurement data. These pseudo station data are derived from PM2.5 or PM10 measurements in locations with no BaP observations.

ETC/ATNI

2021

Long-term trends of air pollutants at national level 2005-2019

Solberg, Sverre; Colette, Augustin

Trend calculations of air pollutants for the periods 2005-2019 have been applied. Sulphur dioxide shows the largest decrease of all pollutants with a reduction of the order of 60-70 %. The agreement between reported emission data and measured concentrations are quite good. For NO2, a mismatch between the trend in air concentrations and NOx emissions is found. While the overall NOx emissions are reported to be reduced by 45 %, the measured NO2 data indicate a decline of the order of 30 % although marked differences between the countries are found. This mismatch could not be explained by changes in meteorology as this is accounted for. Possible reasons for the mismatch could be the NO2/NOx ratio of the emissions, changes in baseline hemispheric ozone concentration and natural emissions. For PM data (PM10 and PM2.5) we find an opposite mismatch, meaning that the PM concentrations show stronger downward trends than the reported emissions. This is likely an effect of the importance of secondary aerosols which are mitigated by other activities than the direct PM emissions. An overall reduction in PM10 of the order of 30-38 % is found during 2005-2019 while the direct emissions give a reduction that is 5-10 percentage units smaller. Similar results are found for PM2.5, but these findings are uncertain due to the less amount of long-term data. For O3, our findings are in line with earlier studies noting that the annual mean ozone concentration has increased while the high peaks have been reduced. But the reduction of the peaks is now within only a few percent and non-significant, while for the 2000-2017 period it was significant and about 10%.

ETC/ATNI

2021

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