Skip to content
  • Submit

  • Category

  • Sort by

  • Per page

Found 9757 publications. Showing page 333 of 391:

Publication  
Year  
Category

Bioaccumulation of brominated flame retardants. The Handbook of Environmental Chemistry, vol. 16

Dominguez, A.A.; Law, R.J.; Herzke, D.; de Boer, J.

2011

Big data processing and apps for citizens' observatories - the CITI-SENSE approach.

Berre, A.J.; Fredriksen, M.; Rombouts, R.; Liu, H.-Y.; Ferry, N.

2015

Bias determination and precision validation of ozone profiles from MIPAS-Envisat retrieved with the IMK-IAA processor.

Steck, T.; von Clarmann, T.; Fischer, H.; Funke, B.; Glatthor, N.; Grabowski, U.; Höpfner, M.; Kellmann, S.; Kiefer, M.; Linden, A.; Milz, M.; Stiller, G.P.; Wang, D.Y.; Allaart, M.; Blumenstock, Th.; von der Gathen, P.; Hansen, G.; Hase, F.; Hochschild, G.; Kopp, G.; Kyrö, E.; Oelhaf, H.; Raffalski, U.; Redondas Marrero, A.; Remsberg, E.; Russell III, J.; Stebel, K.; Steinbrecht, W.; Wetzel, G.; Yela, M.; Zhang, G.

2007

BHT in cosmetic products. NILU OR

Schlabach, M.; Dye, C.; Gundersen, H.; Enge, E.-K.; Mariussen, E.

2005

Bhas 42 cell transformation assay for genotoxic and non-genotoxic carcinogens. Methods in Pharmacology and Toxicology

Sasaki, K.; Huk, A.; El Yamani, N.; Tanaka, N.; Dusinska, M.

2014

BFR-governmental testing programme.

Kemmlein, S.; Herzke, D.; Law, R.L.

2003

Beyond target chemicals: updating the NORMAN prioritisation scheme to support the EU chemicals strategy with semi-quantitative suspect/non-target screening data

Dulio, Valeria; Alygizakis, Nikiforos; Ng, Kelsey; Schymanski, Emma L.; Andres, Sandrine; Vorkamp, Katrin; Hollender, Juliane; Finckh, Saskia; Aalizadeh, Reza; Ahrens, Lutz; Bouhoulle, Elodie; Čirka, Ľuboš; Derksen, Anja; Deviller, Genevieve; Duffek, Anja; Esperanza, Mar; Fischer, Stellan; Fu, Qiuguo; Gago-Ferrero, Pablo; Haglund, Peter; Junghans, Marion; Kools, Stefan A. E.; Koschorreck, Jan; Lopez, Benjamin; de Alda, Miren Lopez; Mascolo, Giuseppe; Miège, Cécile; Oste, Leonard; O'Toole, Simon; Rostkowski, Pawel; Schulze, Tobias; Sims, Kerry; Six, Laetitia; Slobodnik, Jaroslav; Staub, Pierre-François; Stroomberg, Gerard; Thomaidis, Nikolaos S.; Togola, Anne; Tomasi, Giorgio; von der Ohe, Peter C.

Background

Prioritisation of chemical pollutants is a major challenge for environmental managers and decision-makers alike, which is essential to help focus the limited resources available for monitoring and mitigation actions on the most relevant chemicals. This study extends the original NORMAN prioritisation scheme beyond target chemicals, presenting the integration of semi-quantitative data from retrospective suspect screening and expansion of existing exposure and risk indicators. The scheme utilises data retrieved automatically from the NORMAN Database System (NDS), including candidate substances for prioritisation, target and suspect screening data, ecotoxicological effect data, physico-chemical data and other properties. Two complementary workflows using target and suspect screening monitoring data are applied to first group the substances into six action categories and then rank the substances using exposure, hazard and risk indicators. The results from the ‘target’ and ‘suspect screening’ workflows can then be combined as multiple lines of evidence to support decision-making on regulatory and research actions.

Results

As a proof-of-concept, the new scheme was applied to a combined dataset of target and suspect screening data. To this end, > 65,000 substances on the NDS, of which 2579 substances supported by target wastewater monitoring data, were retrospectively screened in 84 effluent wastewater samples, totalling > 11 million data points. The final prioritisation results identified 677 substances as high priority for further actions, 7455 as medium priority and 326 with potentially lower priority for actions. Among the remaining substances, ca. 37,000 substances should be considered of medium priority with uncertainty, while it was not possible to conclude for 19,000 substances due to insufficient information from target monitoring and uncertainty in the identification from suspect screening. A high degree of agreement was observed between the categories assigned via target analysis and suspect screening-based prioritisation. Suspect screening was a valuable complementary approach to target analysis, helping to prioritise thousands of substances that are insufficiently investigated in current monitoring programmes.

Conclusions

This updated prioritisation workflow responds to the increasing use of suspect screening techniques. It can be adapted to different environmental compartments and can support regulatory obligations, including the identification of specific pollutants in river basins and the marine environments, as well as the confirmation of environmental occurrence levels predicted by modelling tools.

Springer

2024

Between man and technology: adressing IAQ in Norwegian schools

Bartonova, Alena; Fredriksen, Mirjam; Høiskar, Britt Ann Kåstad

2023

Better constraints on sources of carbonaceous aerosols using a combined 14C - macro tracer analysis in a European rural background site.

Gilardoni, S.; Vignati, E.; Cavalli, F.; Putaud, J. P.; Larsen, B. R.; Karl, M.; Stenström, K.; Genberg, J.; Henne, S.; Dentener, F.

2011

Bestemmelse av dissosiasjon av gadolinium fra organiske gadoliniumforbindelser i sjøvann. Sluttrapport. NILU rapport

Vik, A.F.; Uggerud, H.T.; Frogner, B.H.; Vadset, M.; Rostkowski, P.

2017

Best practices for local and regional air quality management. Version 1.

Pisoni, E.; Guerreiro, Cristina; Namdeo, A.; Ortiz, A. G.; Thunis, P.; Janssen, S.; Ketzel, M; Wackenier, L.; Eisold, A.; Volta, M.; Nagl, C.; Monteiro, A.; Eneroth, K.; Fameli, K. M.; Real, E.; Assimakopoulos, V; Pommier, M; Conlan, B.

FAIRMODE is the Forum for Air Quality Modeling created for exchanging experience and results from air quality modeling in the context of the Air Quality Directives (AQD) and for promoting the use of modeling for air quality assessment and management. FAIRMODE is organized in different activities and task, called cross-cutting tasks, to which representative of Member States and experts participate. Among the different activities, one is devoted to Air Quality management practices, called cross-cutting task 5 (CT5). This report is indeed based on the last activities of the FAIRMODE Cross Cutting Task 5 (CT5), focusing, in particular, on elaborating recommendations to support local, regional and national authorities in the use of modelling for the development of air quality plans, defining on how to quantify emission changes associated to a set of measures, and quantifying their impacts in terms of concentration (using an ‘impact pathway approach’ from ‘abatement measure’ to ‘emissions’ to ‘concentrations’). This is done on one side taking advantage of the results already produced by previous FAIRMODE working groups and in coordination with existing activities under other FAIRMODE CTs. On the other side, examples of best practice policies are presented, focusing on Low emission zones: with an example on Antwerp and Copenhagen, Measures on non-exhaust traffic to reduce PM, with an application on Stockholm. How to reduce ozone concentrations, with a focus on local to global contributions. How to build an air quality plan in an integrated way, with an application on Italy. How to evaluate the socio-economic impact of measures, focusing on a case study on UK. The results show how different pollutants should be tackled differently, the importance of integration among different sectoral plans (on emissions, greenhouse gases mitigation, …) and also how other dimensions of the problem (i.e. social aspects) should be considered when building air quality plans.

Publications Office for the European Union

2022

Best Practice Protocol for the validation of Aerosol, Cloud, and Precipitation Profiles (ACPPV)

Vassilis, Amiridis; Marinou, Eleni; Hostetler, Chris; Koopman, Rob; Cecil, Daniel; Moisseev, Dmitri; Tackett, Jason; Gross, Silke; Baars, Holger; Redemann, Jens; Marenco, Franco; Baldini, Luca; Tanelli, Simone; Fielding, Mark; Janisková, Marta; Tanaka, Toshiyuki; O'Connor, Ewan; Fjæraa, Ann Mari; et al., .

Committee on Earth Observation Satellites - CEOS

2025

Beskrivelse og vurdering av forurensning fra kilder utenfor norsk del av Barentshavet. Akvaplan-niva Rapport, APN-421.2871

Pedersen, G.; Heimstad, E.

2003

Beregning av luftkvalitet ved Bjørnheimveien 26

Tønnesen, Dag Arild; Weydahl, Torleif

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.

NILU

2021

Beregning av korrosjonsklasse fra miljøparametere i Fitjar. Lokasjon (59°56’11.5″N 5°19’58.4″Ø)

Grøntoft, Terje

Korrosjonsklasse ble beregnet på lokasjon (59°56'11.5"N 5°19'58.4"Ø) i Fitjar, Vestland, Norge, fra årsgjennomsnitt for miljøparametere etter ISO 9223 og ISO 12944-2. Det ble funnet at korrosjonsklassen med høy sannsynlighet er C3 og at dette i hovedsak er bestemt av våt-tiden på omtrent 4500 timer/år, som gjennomsnitt i perioden 2007-2022. Dette er godt innenfor grensene for C3 når saltavsetningen er < 60 mg Cl-/m2døgn og SO2 konsentrasjonen i luft < 30 µg/m3. Disse betingelsene synes med stor sannsynlighet oppfylt på lokasjonen i Fitjar som årsgjennomsnitt i normalår.

NILU

2022

Ber om fortgang i forskning på corona og luftforurensning

Guerreiro, Cristina; Øvrevik, Johan (interview subjects); Solheim, Pernille; Garden, Vemund Anke (journalists)

2020

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

Benzene in eThekwini. Concentrations in air. NILU OR

Knudsen, S.; Ngema, P.

The report gives recommendation on the storage and the reporting of measurements from odd samples. It is important that the report contains the measurements and description of the measurements for later use. A recommendation for storing the measurements is making a simple database with a library function. The library function will give the path to samples with given key words and where to find them.

2010

Publication
Year
Category