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Found 10000 publications. Showing page 177 of 400:

Publication  
Year  
Category

Modelling PM2.5 chemical composition with CAMx in Southwest Spain. NILU PP

Milford, C.; Castell.; N.; Marrero, C.; Sánchez de la Campa, A.; Fernández-Camacho, R.; Rodríguez, S.; de la Rosa, J.D.; Stein, A.F.

2012

Snapshots of results and improvements of atmospheric observations at Birkenes and Zeppelin. NILU PP

Fiebig, M.; Yttri, K.E.; Myhre, C.L.; Tunved, P.; Tørseth, K.

2012

Optical characterization of UV multispectral imaging cameras for SO2 plume measurements. NILU PP

Stebel, K.; Prata, F.; Dauge, F.; Durant, A.; Amigo, A.

2012

Early ozone loss in the Arctic in winter 2011/2012. NILU PP

Goutail, F.; Lefèvre, F.; Pazmiño, A.; Pommereau, J. P.; Chipperfield, M.; Feng, W.; Van Roozendael, M.; Eriksen, P.; Stebel, K.; Dorokhov, V.; Kyrö, E.; Adams, C.; Zhao, X.; Walker, K.; Strong, K.

2012

CITI-SENSE: Development of a sensor-based citizens' observatory community for improving quality of life in cities. NILU PP

Castell-Balaguer, N.; Bartonova, A.; Grossberndt, S.; Lahoz, W.; Schneider, P.; Vik, A.

2012

Ultra-Violet multispectral imaging cameras for validation of SO2 emissions. NILU PP

Stebel, K.; Prata, F.; Dauge, F.; Durant, A.; Amigo, A.

2012

Projected change of Arctic summer cyclone activity by CMIP3 models. NILU PP

Nishii, K.; Nakamura, H.; Orsolini, Y.J.

2012

High Arctic UV radiation levels in the spring of 2011 caused by unprecedented chemical ozone loss. NILU PP

Bernhard, G.; Fioletov, V.; Heikkilä, A.; Johnsen, B.; Koskela, T.; Lakkala, K.; Myhre, C.L.

2012

Global trends of lake temperatures observed from space. NILU PP

Schneider, P.; Wilson, C.; Hook, S.J.; Prata, F.

2012

Preliminary results from the evaluation of the impact of bioethanol buses on urban air quality. NILU PP

Lopez-Aparicio, S.; Hak, C.; Schmidbauer, N.; Dye, C.; Manø, S.

2012

Agile applications - a new paradigm, an old devil. NILU PP

Kobernus, M.; Schade, S.; Havlik, D.; Egly, M.; Pielorz, J.; Denby, B.

2012

Occurrence and seasonality of cyclic volatile methyl siloxanes in Arctic air. NILU PP

Krogseth, I.S.; Breivik, K.; Schlabach, M.; Kierkegaard, A.; Mclachlan, M.S.; Hansen, K.M.

2012

ACTRIS Data Centre: An atmospheric data portal. NILU PP

Myhre, C.L.; Vik, A.F.; Logna, R.; Tørseth, K.; Linne, H.; O'Connor, E.

2012

The MEMORI dosimeter for indoor environment. NILU PP

Dahlin, E.; Grøntoft, T.; Lopez-Aparicio, S.; Bellendorf, P.; Wittstadt, Schieweck, A.; Drda-Kühn, K.; Perla Colombini, M.; Bonaduce, I.; Vandenabeele, P.; Larsen, R.; Poulsen Sommer, D.V.; Potthast, A.; Marincas, O.; Thickett, D.; Andrade, G.; Tabuenca, A.; Odlyha, M.; Hackney, S.; Laurenson, P.; McDonagh, C.; Ackerman, J.J.

2012

Air quality monitoring in the border areas of Norway and Russia - progress report April 2011-March 2012. NILU OR

Berglen, T.F.; Andresen, E.; Arnesen, K.; Nilsson, L.O.; Ofstad, T.; Rode, A.; Tønnesen, D.; Vadset, M.

The nikkel smelters in NW Russia close to the Norwegian border emits large quantities of sulphur dioxide (SO2) and heavy metals. These emissions lead to enhanced concentrations of environmental pollutants in the border areas, also at the Norwegian side of the border. This report is part of the national environmental monitoring program and includes air quality monitoring, precipitation chemistry and meteorology.

2012

Moss survey in Norway 2010. NILU OR

Steinnes, E.; Schlabach, M.

2012

Rotational Raman scattering in the O2-A and O2-B bands: simulations for Carbonsat, FLEX/FLORIS, MERIS and OLCI. NILU OR

Kylling, A.

Rotational Raman scattering (RRS) causes filling-in of absorption lines in Earth shine spectra. It is routinely accounted for in analysis of UV and visible spectra measured both by satellite and ground-based instruments. RRS is also present at longer wavelengths, however, the magnitude generally decreases with increasing wavelength due to decrease in the scattering cross section. For high-resolution spectral measurements the effect may be noticeable. Depending on the application, RRS thus needs to be quantified and possibly corrected for. Of special interest is the effect of RRS in the O2-A (759-769 nm) and O2-B (686-697 nm) bands. Here, the effect of RRS in these bands is studied for the present and future satellite instruments CarbonSat, FLEX/FLORIS, MERIS and OLCI.

2012

Air quality in Hamar. Monitoring program December 2010 - June 2011. NILU OR

Tønnesen, D.; Berglen, T.F.

NILU has carried out monitoring of air quality in the center of Hamar from December 2010 till May 2011. The results have been compared to corresponding measurements at Lillehammer. The level of NO2 is lower and the level of PM10 is higher at Hamar, compared to Lillehammer. The limit value for number of days with PM10 above 50 µg/m3 is probably exceeded in the center of Hamar.

2012

Air quality impact assessment, Kinyerezi, Dar Es Salaam, Tanzania. NILU OR

Sivertsen, B.; Castell-Balaguer, N.

Concentrations of air pollutants from the 150MW Jacobsen Electro power plant planned for the Kinyerezi area near Dar Es Salaam, Tanzania has been estimated using two different dispersion models. The estimated annual average contribution to the ground level concentrations of NO2, SO2 , PM and CO is negligible compared to international and national standards. Only the highest one hour average concentrations may be of some concern.
The estimated absolute maximum hourly ground level concentrations of NO2 from the 150 MW gas fired power plant was found within about 2 to 3 km from the power plant. The maximum ground level concentration might reach 11 µg/m3 during very special meteorological conditions and wind from west.
Contributions to the ground level NO2 concentrations from the 150 MW power plant operated with Jet A1 liquid fuel is somewhat higher. It, however, never seems to exceed 32 µg/m3 (NOx as NO2) as a one hour average maximum concentration.
Over the city of Dar Es Salaam, about 15 km east of the plant site, the two plants will contribute during maximum conditions to about 12 to 20 µg/m3 NO2 .
The green house gas (GHG as CO2 equivalents) emissions will be less than 1 % of the present national emissions of GHG in Tanzania.

2012

NORTRIP model development and documentation: NOn-exhaust Road TRaffic Induced Particle emission modelling. NILU OR

Denby, B.R.; Sundvor, I.

The NORTRIP model is the result of research efforts carried out by a number of Nordic institutes to improve our understanding and ability to model non-exhaust traffic emissions and has been developed through the Nordic Council of Ministers project NORTRIP (NOn-exhaust Road Traffic Induced Particle emissions). The NORTRIP model is a process based non-exhaust emission model that is intended for application without site specific empirical factors. It takes into account direct wear emissions, the build up of mass on the road surface, the suspension of this mass, as well as the application and suspension of salt and sand. It combines a road dust sub-model with a road moisture sub-model in order to properly describe the retention of dust on the road surface. The model can be applied for assessment purposes and for the management and evaluation of abatement strategies regarding road wear, salting and sanding. The model development and its documentation, along with its application to a large number of Nordic datasets, is described in detail in this report.

2012

BAPMAN Mission 6: Continuous air monitoring operations, measurement data training, and data acquisition interface development. NILU OR

Randall, S.; Sivertsen, B.; Dauge, F.; Gjerstad, K.I.; Clemetsen, T.

The Bangladesh Air Pollution Management (BAPMAN) project is an institutional-building project where NILU lends the necessary Air Quality Management (AQM) tools and associated training to the Clean Air and Sustainable Environment (CASE) program at the Department of Environment (DoE). Mission 6 of the BAPMAN project occurred in Dhaka from 13-18 October 2012 where the target of the mission was to continue Task 2 training (CAMS QA/QC), continue Task 1 training (AirQUIS monitoring), and to develop a data retrieval interface for the AirQUIS server (Task 3).

2012

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