Found 9746 publications. Showing page 22 of 390:
Air quality calculations for Oslo Airport. NILU rapport
Modelling of emission and dispersion shows that the largest emissions of NOX are caused by airplanes during take-off and final approach, but these emissions have little impact on ground level concentrations. The highest modelled concentration levels are located within the airport area, and are of similar size as concentrations modelled in central areas of Norwegian medium sized cities. The largest contribution comes from the aircrafts. The concentration of PM is largely decided by the background contribution. Occurrence of odour in the vicinity of the airport can be explained by the emission of hydrocarbons from aircraft in taxi-modes. Occurrence of darkening on house walls in vicinity of and further away from the airport has been investigated. It is mainly caused by growth of fungus. Investigation of possible impact from airport activity on fresh water bodies indicate that the glycol content in the use of de-icing of aircraft has the largest potential impact.
2016
Air quality data. Bakka station 2011-2012. NILU OR
Monitoring of ozone, nitrogen oxides and particulate matter (PM) have been performed at Bakka south of Mongstad for 13 consecutive full months (December 2011 to December 2012 inclusive). The nitrogen oxide and PM concentrations are very low. The ozone is at typical background ozone level.
2013
This report analyses evolution and trends of air quality in Europe, based on a 15-year time series of spatial data fusion maps for the years 2005-2019. The analysis has been performed for PM10 annual average, the ozone indicator SOMO35 and NO2 annual average. For the purpose of the Eionet Report - ETC/ATNI 2021/11 trend analysis, a consistent reconstruction of the full 15-year time series of air quality maps has been performed, based on a consistent mapping methodology and input data. For the reconstruction, the Regression – Interpolation – Merging Mapping (RIMM) methodology as routinely used in the regular European-wide annual mapping has been applied.
The trend analysis has been performed based on time series of the aggregated data for individual countries, for large European regions and for the entire mapping area, both for spatial and population-weighted aggregations. In addition, maps of trends have been constructed based on the trend estimates for all grid cells of a map.
For the European-wide aggregations across the whole mapping area, statistically significant downward trend have been estimated for PM10 and NO2, while no significant trend was detected in the case of ozone.
ETC/ATNI
2021
Air quality forecasting and information towards public demonstrated in Wuhan, Hubei province, China. NILU F
2014
Air quality forecasting and information towards public demonstrated in Wuhan, Hubei province, China.
2014
2003
Air Quality Impact Assessment, Kinyerezi, Dar Es Salaam, Tanzania. Phase II process update. NILU OR
This assessment of emissions from a planned power plant improvement project in Kinyerezi (Tanzania) is a follow-up to the Phase I assessment conducted by NILU in 2012 of the 150 MW dual-fuel plant. This Phase II assessment focuses solely on natural gas driven power plant with a total of 8 generators for a total of 345 MW. Concentration distributions from the planned power plant were generated using TAPM (The Air Pollution Model), using 2009 as the study period to remain consistent with the Phase I assessment. Annual CO2 emissions are estimated at 1.5 million tonnes/year, this is .2% of the total emissions for the entire country of Tanzania. NOx is the pollutant being emitted from the plant with the greatest impact at the local level, with maximum (1-hour) concentrations found in surrounding communities ranging from 10.7 - 33.2 µg/m3. The average annual concentration in these communities, and across the grid is low (highest being 1.4 µg/m3). The planned power plant at Kinyerezi does not alone exceed any local ambient air quality limit values or WHO guidelines.
2014
Air quality impact assessment, Kinyerezi, Dar Es Salaam, Tanzania. NILU OR
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
Air quality impact assessment, Maria Gleta Power Plant, Benin. NILU OR
Concentrations of air pollutants from the 50MW Jacobsen Electro power plant in Benin has been estimated using two different dispersion models. SO2 emissions from the power plant operated with heavy fuel oil has proven to be the most critical option compared to national and international limit values. The SO2 concentrations will never exceed more than 37% of the national air quality limit values. For all other options, such as light fuel oil and gas, the concentrations will be less. Also the impact of NOx and PM10 will be relative to the limit values be less than for SO2. The CO2 emissions will represent less than 10 % of the national greenhouse gas emissions in Benin.
2011
2003
Air quality in 7 Norwegian municipalities in 2015. Summary report for NBV results.
This report documents the methodology used to compile air quality information for the year 2015 in seven Norwegian municipality areas under the first phase of development of the Norwegian Air Quality Planning Tool, also called “Nasjonalt Beregningsverktøy” or NBV. It follows a similar structure to and complements the final report entitled “Air quality in 7 Norwegian municipalities in 2015 – Summary report for NBV results” (NILU rapport 21/2017) where information on air quality in the seven main city areas in Norway was presented.
This report constitutes a user guide for the NBV-services, available at http://www.luftkalitet-nbv.no, in municipal areas. It provides recommendations on how to best use each product for air quality planning purposes and explains the main strengths and limitations of the results. The NBV air quality data for municipalities is subject to larger uncertainties than the data available for the main Norwegian city areas and this has to be taken into consideration when analyzing the results.
NILU
2018