Publikasjoner

Overview of aerosol properties associated with air masses sampled by the ATR-42 during the EUCAARI campaign (2008).

Crumeyrolle, S.; Schwarzenboeck, A.; Roger, J. C.; Sellegri, K.; Burkhart, J. F.; Stohl, A.; Gomes, L.; Quennehen, B.; Roberts, G.; Weigel, R.; Villani, P.; Pichon, J. M.; Bourrianne, T.; Laj, P.

Air implementation pilot: Management practices (update 2013). ETC/ACM Technical Paper, 2013/7

Castell, N.; Guerreiro, C.

Toward the next generation of air quality monitoring: Mercury.

Pirrone, N.; Aas, W.; Cinnirella, S.; Ebinghaus, R.; Hedgecock, I.M.; Pacyna, J.; Sprovieri, F.; Sunderland, E.M.

Modelling non-exhaust emissions of PM10 in Oslo. Impact of traffic parameters and road maintenance activities using the NORTRIP model. NILU OR

Denby, B.R.

This report was requested by the Norwegian Public Roads Administration (Statens vegvesen) to provide information concerning non-exhaust traffic emissions in Oslo and the impact of various traffic parameters and road maintenance activities on these emissions. This report provides the results of calculations made with the NORTRIP model, a recently developed emission model for calculating non-exhaust emissions. The sensitivity of the modelled emissions to traffic parameters such as studded tyre share and fraction of heavy duty vehicles is investigated. In addition the impact of salting and cleaning is addressed.

Environmental disparities and inequalities developing countries. NILU F

Sivertsen, B.

Satellite and ground-based retrievals of aerosol optical properties in Arctic (2003-2011). NILU F

Glantz, P.; Tesche, M.; Stebel, K.; Herber, A.; Struthers, H.; Karlsson, J.; Bourassa, A.; Thomason, L.; Maturilli, M.

Health risk analysis for emissions to air from CO2 Technology Centre Mongstad.

de Koeijer, G.; Talstad, V.R.; Nepstad, S.; Tønnesen, D.; Falk-Pedersen, O.; Maree, Y.; Nielsen, C.

Quantifying the source/receptor link for the IAGOS-MOZAIC observation database.

Auby, A.; Sauvage, B.; Thouret, V.; Boulanger, D.; Eckhardt, S.; Darras, S.; Turquety, S.

Grenseområdene Norge-Russland. Luft- og nedbørkvalitet, april 2012 - mars 2013. NILU OR

Berglen, T.F.; Dauge, F.; Andresen, E.; Haugsbakk, I.; Nilsson, L.O.; Ofstad, T.; Tønnesen, D.; Vadset, M.; Våler, R.L.

Smelteverkene på russisk side av den norsk-russiske grense slipper ut store mengder svoveldioksid (SO2) og tungmetaller. Dette gir forhøyede konsentrasjoner også på norsk side. Denne rapporten inngår i kartlegging av miljøbelastningen i grenseområdene og omfatter målinger av luftkvalitet, nedbørkvalitet og meteorologi.

Communicating uncertainty to users: from number to perception. NILU F

Lahoz, W.

Modeling the Impact of Energetic Particle Precipitation on Stratospheric Nitric Acid Enhancements using WACCM. NILU F

Orsolini, Y.

Comparison of spheroidal carbonaceous particle data with modelled atmospheric black carbon concentration and deposition and air mass sources in Northern Europe, 1850-2010.

Ruppel, M.; Lund, M.T.; Grythe, H.; Rose, N.L.; Weckström, J.; Korhola, A.

Evaluating a forecast system for long-range atmospheric transport episodes of POPs. NILU PP

Halse, A.K.; Eckhardt, S.; Schlabach, M.; Stohl, A.; Breivik, K.

Background air measurements of persistent organic pollutants (POPs) within existing monitoring programs are typically conducted by use of active air samplers (AAS), but the high cost of AAS limits their spatial and temporal coverage. Sampling at many such sites furthermore occurs at fixed intervals (e.g. one day per week) without any a priori consideration of air mass transport (i.e., whether the air is likely to be polluted or not). While the current strategy is appropriate for the purpose of assessing long-term trends (years, decades), the fixed interval non-continuous sampling approach is at risk of missing out key long-range atmospheric transport (LRAT) episodes. The objectives of this study have been to (i) develop a forecast system using the Lagrangian transport model FLEXPART to predict long-range atmospheric transport episodes of POPs using PCB-28 as a model compound, (ii) to evaluate the capability of the forecast system to capture specific LRAT events at a background site in southern Norway (Birkenes) through targeted sampling (i.e. when LRAT events are predicted), (iii) to assess whether predicted LRAT events for PCB-28 coincide with elevated concentrations of additional PCBs and other POPs, and (iv) to identify source regions of POPs during individual episodes. The system has been initially evaluated by comparing targeted samples collected over 12 to 25 hours during individual LRAT episodes, with monitoring samples regularly collected over one day per week throughout 2011. The FLEXPART model was clearly successful in identifying LRAT episodes for both PCB-28 and other PCBs. The model fails to accurately reproduce the magnitude of PCB-28 concentrations during individual episodes, but this can be mainly attributed to uncertainties in the absolute emission rates of PCB-28 used to drive simulations. We conclude that forecasting of pollution episodes has the potential to add value to relevant monitoring efforts which are normally collecting active air samples at fixed intervals in a non-continuous manner. Observations targeted at strong pollution episodes (as in this study) or on transport from specific source regions with highly uncertain emissions (as could be done in a very similar forecasting framework) could significantly enhance our understanding of POP sources.