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Found 10000 publications. Showing page 194 of 400:

Publication  
Year  
Category

Monitoring of greenhouse gases and aerosols at Svalbard and Birkenes: Annual report 2011. NILU OR

Myhre, C.L.; Hermansen, O.; Fjæraa, A.M.; Lunder, C.; Fiebig, M.; Schmidbauer, N.; Krognes, T.; Stebel, K.

The report summaries the activities and results of the greenhouse gas monitoring at the Zeppelin and observatory situated on Svalbard in Arctic Norway during the period 2001-2011 and the greenhouse gas monitoring and aerosol observations from Birkenes for 2011.
The monitoring programme is performed by the NILU - Norwegian Institute for Air Research and funded by the Norwegian Pollution Control Authority (SFT) (now Climate and Pollution Agency) and NILU - Norwegian Institute for Air Research.

2013

Identifying knowledge gaps in physical preservation of cultural heritage prior to 2020. NILU OR

Dahlin, E.; Taylor, J.; Winness, M.; Grøntoft. T.

NILU - the Norwegian Institute for Air Research and NIKU - the Norwegian Institute for Cultural Heritage Research has upon application received funding from the Directorate for Cultural Heritage in Norway to prepare a memorandum that identifies knowledge gaps in Norway related to physical preservation of cultural heritage.

2013

Statoil refinery Mongstad. Monitoring program air and precipitation 2011 - 2013. NILU OR

Berglen, T.F.; Schulze, D.; Basteson, E.; Haugsbakk, I.; Lunder, H.; Schmidbauer, N.; Tønnesen, D.

NILU has conducted a monitoring for Statoil in the vicinity of Mongstad refinery. There were two stations, Sande and Sundsbø. Mean concentrations of NOx at Sande and Sundsbø were 3,43 og 1,42 µg/m3 respectively, i.e. low values. Maximum hourly mean concentrations of NO2 were 49,9 µg/m3 and 36,4 µg/m3 (Sande and Sundsbø). Concerning O3 annual mean concentration in 2012 at Sande was 64,6 µg/m3, maximum hourly mean was 145,4 µg/m3. SO2 showed very low values (maximum hourly mean 7,24 µg/m3). For PM10 annual mean values were 16,8 µg/m3 and 7,4 µg/m3 respectively (Sande and Sundsbø), maximum daily mean values in 2012 were 60,9 µg/m3 and 29,1 µg/m3. BTEX (benzene, toluene, etylbenzene and xylene) showed low values. Sampling of PAH in air was performed every 6. day. Maximum concentration of 16 EPA PAH was 6,96 ng/m3, maximum benzo(a)pyren (BaP) was 0,050 ng/m3. PAH in precipitation showed maximum value of 42,7 ng/L, maksimum BaP in prcipitation was 0,679 ng/L.

2013

Bangladesh Air Pollution Management (BAPMAN). Task 2: Monitoring and laboratory procedures. Deliverable D2.4.: Technical specifications for a national reference laboratory in Bangladesh. NILU OR

Marsteen, L.; Dauge, F.; Randall, S.; Sivertsen, B.

This report contains all relevant physical technical specifications as well as manning requirements for the Reference laboratory for air quality measurements. The report also includes commissioning, testing and training requirements.

2013

GMOS Global Mercury Observation System. D2.4: Report on mapping of Hg emissions and its chemical forms for 2030. NILU OR

Sundseth, K.; Pacyna, J.M.; Banel, A.; Pacyna, E.G.

The report describes future emission factors under different scenarios.This report is the final version of GMOS Deliverable D 2.4 Report on mapping of Hg emissions and its chemical forms for 2030. It presents the emission maps of the Current Policy (CP), New Policy (NP) and Maximum Feasible Reduction (MFR) global mercury emission scenarios for 2035.

2013

Final report. Experimental Study Investigating Risks of selected Amines (ExSIRA). Task 4: Atmospheric corrosion due to amines. NILU OR

Grøntoft, T.; Ofstad, T.

The effect of selected amines on the corrosion of carbon steel and copper was investigated in the laboratory and in the field. The steel and copper samples were exposed to loads of the amines in the laboratory, representing possible 10 years maximum real exposure due to emission from a CO2 capturing plant, and to higher doses in the laboratory and in the field. No effect on the corrosion rate for steel was detected for the application of a possible 10 years real maximum dose of the amines in the laboratory as compared to blanks. Application of 700 times higher doses of amines in the laboratory was observed to give anodic protection, and thus reduced corrosion, of steel samples, but to dissolve the surface of a copper sample. The anodic protection was due to the formation of an amine surface film that protected the sample form oxidation. The dissolution of copper was probably due to formation of a copper-amine complex at high pH. A slight increase in corrosion was observed for samples that were exposed to the equivalent of possible 65 years maximum real exposure of amines in the field. This may be explained by freezing point depression and increased time of wetness of the sample surfaces due to accumulation of the amine solute on the sample surfaces in the season with frost.

2013

GMOS Global Mercury Observation System. D2.2: Report and database for emission factors for the year 2030 for different types of scenarios. NILU OR

Sundseth, K.; Pacyna, J.M.; Banel, A.

The report describes future emission factors under different scenarios.

2013

Air quality maps of NO2 and PM10 for the region including Stavanger, Sandnes, Randaberg and Sola (Nord-Jæren). NILU OR

Denby, B.R.; Slørdal, L.H.; Vo, D.T.; Sundvor, I.

This report presents and describes air quality maps of NO2 and PM10 for the region Nord-Jæren, which includes the municipalities of Stavanger, Sandnes, Randaberg and Sola.

2013

GMOS Global Mercury Observation System. D2.1: Report and database for current emissions and emission factors for the 2005, including mapping of total mercury emissions and its chemical forms. NILU OR

Sundseth, K.; Pacyna, J.M.; Pacyna, E.G.

The report presents the outcome of GMOS Task 2.1 on current estimates for anthropogenic mercury sources and Task 2.2 on current emission estimates for natural mercury sources and re-emissions.

2013

TK-4103C/D Mongstad. Dispersion calculations. NILU OR

Berglen, T.F.; Tønnesen, D.; Haugsbakk, I.

NILU - Norwegian Institute for Air Research has performed dispersion calculations of emissions to air from stack TK-4103C/D at Mongstad refinery. Dispersion of SO2 is calculated and analyzed.

2013

Air quality monitoring in the border areas of Norway and Russia - progress report April 2012-March 2013. NILU OR

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

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.

2013

Monitoring of long-range transported air pollutants. Annual report for 2012. NILU OR

Aas, W.; Solberg, S.; Manø, S.; Yttri, K.E.

Air and precipitation chemistry is determined through various monitoring programmes at several sites located in the rural areas of Norway. This report describes the results for 2012, and these are compared to the previous years.

2013

Air quality near E6 at Jessheim. NILU OR

Tønnesen, D.

NILU has assesed air quality at a proposed site for a hospital close to E6 at Jessheim. Based upon traffic volume, emission factors and local meteorology, concentrations of NO2 and PM10 have been modelled. The results have been compared to 'Guidelines for air quality in area planning' and the 'Red' and 'Yellow' air quality areas have been presented on a map.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.2 Improved detection of ash clouds. NILU OR

Kylling, A.

Water and ice clouds and temperature conditions may often influence the detection of volcanic ash affected pixels in infrared satellite images. Several methods are available for the detection of ash clouds in SEVIRI images. Manual adjustments to the methods are often needed for a given ash situation. The report describes various methods for detection of ash affected pixels. A quantitative comparison of the methods is made based on synthetic SEVIRI images from the 2010 Eyafjallajokull eruption.

2013

Background concentrations in Norway - Temporal averaging and uncertainty assessment. NILU OR

Schneider, P.

A system for providing approximate spatial and temporal estimates of the surface background concentrations of PM10 , PM2.5, NO2 , and O3 for a typical year in Norway has been established at NILU in recent years. In 2013, the system was further improved and expanded by carrying out two main tasks: Firstly the spatial component of the system was extended from previously a single year to a 3-year average, thus decreasing the impact of inter-annual variability. Secondly, a preliminary validation of the background estimates was carried out and an approximate uncertainty was calculated for four species in the dataset and is now communicated to the user on the project website. The validation results indicate that overall the average estimated concentrations follow the average observed concentration fairly well. This is particularly true for PM10 and PM2.5. The averaged estimates for O3 and NO2 also follow the averaged observations relatively closely, although NO2 is clearly underestimated at all four validation stations. In terms of quantitative uncertainty estimates for the hourly estimates at the level of individual species, O3 is the parameter which was found to have the lowest uncertainty of all four species. While the median absolute uncertainty for hourly O3 estimates was found to be 18.7 ¿g m-3, the median relative uncertainty was only 33.8 %. Both PM10 and PM2.5 had significantly higher uncertainties, with a median relative uncertainty for the hourly estimates of 90 % and 88 %, respectively. Finally, the hourly estimates for NO2 also showed quite high relative uncertainties with a value of 73 %.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.3 Improved estimates of ash cloud top temperature and surface temperature. NILU OR

Kylling, A.

For retrieval of ash mass loading from infrared satellite measurements, estimates of the ash cloud temperature and the surface temperature are required. The ash cloud temperature and surface temperature may be taken from satellite measurements, weather model forecast, or deduced by satellite retrievals.
The report describes various methods to estimate the ash cloud temperatue and surface temperature. The impact of varying cloud temperature and surface temperature on the signal measured by an IR-sensor in space is investigated.

2013

BAPMAN Mission 9: Monitoring station quality control and emissions/dispersion modeling. 19-24 October 2013. Dhaka, Bangladesh. NILU OR

Randall, S.; Dauge, F.; 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 9 of the BAPMAN project occurred in Dhaka from 19-24 October 2013 where the target of the mission was to finalize Task 2 training (CAMS QA/QC), continue Task 1 training (AirQUIS emission inventory), and to upgrade the data retrieval interface for the AirQUIS server (Task 3).

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.4 Reduced uncertainty in satellite-based estimates of ash concentrations. NILU OR

Kylling, A.

Satellite-based measurements of volcanic ash give the total amount of volcanic ash per area, typically in units of grams of volcanic ash per square meter. To convert this to concentration the vertical thickness of the ash cloud is needed. The ash cloud thickness is not available from passive remote sensors, e.g. IR-sensors, but may be obtained from ground- and space-based lidars. Dispersion models will also provide information of the ash thickness.
This report gives an overview of volcanic ash cloud thickness as observed by space, aircraft and ground-based lidars. Also, ash cloud thickness as simulated by the Flexpart particle dispersion model is analysed. The impact of varying cloud thickness on the signal measured by IR-sensor in space is investigated. Focus is on the Eyjafjallajokull 2010 eruption for which a unique wealth of data are available.

2013

Modellering av vulkanaske i norsk luftfrom. Pkt. 1.3 Enkle forbedringer av utslippsestimat. NILU OR

Kristiansen, N.I.

The report describes how a transport model is used to simulate the emission of ash from volcanic eruptions and how the ash emissions can be described in the model. A number of methods for calculating ash emissions are presented and the development of improved ash emissions by manual analysis of satellite data is presented.

2013

Air Quality in Norwegian cities. Handbook for luftkvalitet.info - administration. NILU TR

Johnsrud, M.; Tørnkvist, K.K.; Marsteen, L.

This handbook offers an introduction to the webportal admin.luftkvalitet.info developed by NILU for The Norwegian Public Roads Administration and The Climate and Pollution Agency (Klif). The modules in luftkvalitet.info - administration provides necessary tools for quality insurance and handling of air quality data in the Norwegian national measurement database.

2013

Measurement data. July 2011 - June 2012. Environmental monitoring of emissions to air from Snøhvit-Hammerfest LNG. NILU OR

Hak, C.

Statoil assigned NILU - Norwegian Institute for Air Research to carry out a programme on 'Environmental monitoring of emissions to air from the Snøhvit LNG facility'. The project started on 1 February 2006. This report summarises the results of the measurement programme from 1 July 2011 to 30 June 2012. It involves the measurement of meteorological parameters on Melkøya and Fuglenesodden. Air quality parameters were measured at Fuglenesodden. Precipitation samples taken at Forsøl and Kargeneset were analysed for PAHs, inorganic ions, heavy metals and mercury. The current air quality standards are met for all compounds.

2013

UV radiation.

Bernhard, G.; Fioletov, A.; Heikkilä, V.; Johnsen, B.; Koskela, T.; Lakkala, K.; Svendby, T.; Dahlback, A.

2013

Operational emergency preparedness modeling - overview. Geophysical Monograph Series, 200

Stohl, A.

2013

The Fukushima inverse problem.

Martinez-Camara, M.; Dokmanic, I.; Ranieri, J.; Scheibler, R.; Vetterli, M.; Stohl, A.

2013

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