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Emission and transport of bromocarbons: from the West Pacific ocean into the stratosphere.

Tegtmeier, S.; Krüger, K.; Quack, B.; Atlas, E. L.; Pisso, I.; Stohl, A.; Yang, X.

2012

Emission changes dwarf the influence of feeding habits on temporal trends of per- and polyfluoroalkyl substances in two Arctic top predators.

Routti, H.; Aars, J.; Fuglei, E.; Hanssen, L.; Lone, K.; Polder, A.; Pedersen, Å. Ø.; Tartu, S.; Welker, J. M.; Yoccoz, N. G.

2017

Emission data reported to LRTAP Convention and NEC Directive. Initial review for HMs and POPs. MSC-W Technical Report, 1/05

Vestreng, V.; Breivik, K.; Adams, M.,Wagner, A.; Goodwin, J.; Rozovskaya, O.; Pacyna, J.M.

2005

Emission ensemble approach to improve the development of multi-scale emission inventories

Thunis, Philippe; Kuenen, Jeroen; Pisoni, Enrico; Bessagnet, Bertrand; Banja, Manjola; Gawuc, Lech; Szymankiewicz, Karol; Guizardi, Diego; Crippa, Monica; Lopez-Aparicio, Susana; Guevara, Marc; de Meij, Alexander; Schindlbacher, Sabine; Clappier, Alain

Many studies have shown that emission inventories are one of the inputs with the most critical influences on the results of air quality modelling. Comparing emission inventories among themselves is, therefore, essential to build confidence in emission estimates. In this work, we extend the approach of Thunis et al. (2022) to compare emission inventories by building a benchmark that serves as a reference for comparisons. This benchmark is an ensemble that is based on three state-of-the-art EU-wide inventories: CAMS-REG, EMEP and EDGAR. The ensemble-based methodology screens differences between inventories and the ensemble. It excludes differences that are not relevant and identifies among the remaining ones those that need special attention. We applied the ensemble-based screening to both an EU-wide and a local (Poland) inventory.

The EU-wide analysis highlighted a large number of inconsistencies. While the origin of some differences between EDGAR and the ensemble can be identified, their magnitude remains to be explained. These differences mostly occur for SO2 (sulfur oxides), PM (particulate matter) and NMVOC (non-methane volatile organic carbon) for the industrial and residential sectors and reach a factor of 10 in some instances. Spatial inconsistencies mostly occur for the industry and other sectors.

At the local scale, inconsistencies relate mostly to differences in country sectorial shares that result from different sectors/activities being accounted for in the two types of inventories. This is explained by the fact that some emission sources are omitted in the local inventory due to a lack of appropriate geographically allocated activity data. We identified sectors and pollutants for which discussion between local and EU-wide emission compilers would be needed in order to reduce the magnitude of the observed differences (e.g. in the residential and industrial sectors).

The ensemble-based screening proved to be a useful approach to spot inconsistencies by reducing the number of necessary inventory comparisons. With the progressive resolution of inconsistencies and associated inventory improvements, the ensemble will improve. In this sense, we see the ensemble as a useful tool to motivate the community around a single common benchmark and monitor progress towards the improvement of regionally and locally developed emission inventories.

2024

Emission estimates for Norwegian cities. NBV_Emission Database v.0. NILU OR

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

Denne rapporten er en del av et nasjonalt modelleringssystem for lokal luftkvalitet ("Nasjonalt Beregningsverktøy" eller NBV prosjektet). Vi beskriver og dokumenterer utslippsdatabasen som er brukt som baseline i NBV prosjektet (dvs. NBV Utslipp Database v.0) og utslippsberegningene. Denne rapporten presenterer NOX og PM10 utslippsestimater for Bergen, Drammen, Grenland, Oslo, Trondheim og Stavanger, og fordelingen mellom sektorene. Rapporten understreker behovet for oppdatering av utslippsdata. Utviklingen er gjennomført i 2015 og er beskrevet i denne rapporten, og innebærer i) trafikksektoren gjennom utvikling av en applikasjon for å hente data; ii) husholdningssektoren ved å oppdatere utslipp fra vedfyring; og iii) oppdatering av skipsutslipp. De oppdaterte utslippene er NBV_Utlipp_Database v.1, som bedre representerer dagens situasjon, er i overensstemmelse med metodene som brukes for å beregne utslipp og fullfører identifiseringen av huller

2015

Emission impossible? On our understanding of the historical sources and emissions of PCBs at global scale. NILU F

Breivik, K.; Pacyna, J.M.; Sweetman, A.,Jones, K.C.; Meijer, S.N.; Ockenden, W.A.; Grimalt, J.O.; Wania, F.; Daly, G.; Su, Y.

2003

Emission inventories and projections for assessing hemispheric or intercontinental transport of persistent organic pollutants. Air pollution studies, 19

Theloke, J.; Li, Y.-F.; Breivik, K.; Denier van der Gon,H.; Pacyna, J.; Panasiuk, D.; Sundseth, K.; Tao, S.

2011

Emission inventories for POPs – on our understanding of the historical emissions of PCBs at global scale. NILU F

Breivik, K.; Daly, G.; Grimalt, J.O.; Jones, K.C.; Meijer, S.N.; Ockenden, W.A.; Pacyna, P.M.; Su, Y.; Sweetman, A.; Wania, F.

2003

Emission inventory and dispersion modelling training seminar. NILU, 10-21 January 2012. NILU F

Randall, S.; Sivertsen, B.; Vo, D.T.; Gjerstad, K.I.

2014

Emission needs at local scale for air quality modelling.

Borge, R.; Lumbreras, J.; Tarrasón, L.; Rodrigues, E.

2011

Emissions and dispersion from Nikel smelter, a WRF-Chem study. NILU PP

Berglen, T.F.; Engdahl, B.J.; Hodnebrog, Ø.; Stordal, F.; Velken, A.v.S.

2010

Emissions and photochemistry of oxygenated VOCs in the outflow from urban centers in the Northeastern U.S.

de Gouw, J.A.; Warneke, C.; Stohl, A.; Holloway, J.; Trainer, M.; Fehsenfeld, F.C.

2005

Emissions from incineration of fluoropolymer materials. A literature survey. NILU OR

Huber, S.; Moe, M.K.; Schmidbauer, N.; Hansen, G.H.; Herzke, D.

The Norwegian Pollution Control Authority (SFT) commissioned a literature survey on incineration of
fluoropolymer materials, overviewing the available literature on formation of greenhouse gases until August 2008. The survey provides the foundation on which decisions for the future needs for further investigations will be made. Suggestions for sampling were also part of the study.

2009

Emissions inventory for Dhaka and Chittagong of pollutants PM10, PM2,5, NOx, SOx, and CO. NILU OR

Randall, S.; Sivertsen, B.; Ahammad, Sk. S.; Cruz, N.D.; Vo, D.T.

The Bangladesh Air Pollution Studies (BAPS) project is being prepared for the Clean Air and Sustainability project at the Bangladesh Department of Environment (CASE/DoE). This report summarizes the results from Task 1: Emission inventories. A combined methodology of using bottom-up and top-down scaled input data has been used to populate the emission inventory for Dhaka and Chittagong. Sources of emissions of PM10, PM2.5, NOX, SOX, and CO have been investigated for the sectors Industry (including brick kilns separately), Road Traffic, non-road Traffic, Agriculture, Urban, and Fossil Fuel (energy and gas processing). The emissions inventory has been compiled in the NILU model AirQUIS, which can then process the dispersion modelling of the emissions as needed for Task 2 of this project.

2014

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