Found 9759 publications. Showing page 187 of 391:
2013
Air quality near E6 at Jessheim. NILU OR
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.
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Greenhouse gas inventory for Abu Dhabi Emirate. Technical basis & results of the first inventory. NILU OR
The first GHG inventory for Abu Dhabi Emirate was conducted for all activity sectors (energy, industrial processes, agriculture, land use change and forestry, and waste) using the sectoral (bottom-up) approach. The input data was collected in collaboration with the relevant local authorities. Estimation of GHG emissions was conducted applying the methodology of the IPCC (Revised 1996 IPCC Guidelines and the Good Practice Guidance) and using the UNFCCC inventory software. A key category analysis was also performed for the GHG emissions; the key sources of emissions responsible for 95% of the total GHG emissions were identified. Three emission indicators were developed for Abu Dhabi Emirate using the standards of IEA: the per capita emissions, per GDP and per kWh electricity produced. Very few data was available on the local emission factors. For missing data, assumptions were made to undertake calculations of emissions; the factors used in the previous UAE national inventories and/ or the commonly accepted emissions factors from IPCC and other standard guidelines were used. Focus was given to the key category sectors; energy (specifically fuel combustion emissions) and industrial processes (specifically metal and mineral). Land use change and forestry sector was also in concern as a sink for CO2 removals. Contributions of agriculture and waste sectors were as expected small. In addition, among various greenhouse gases, priorities were given to direct greenhouse gases CO2, CH4, N2O and PFCs, and to a lesser degree to indirect gases CO, NOX, SO2 and NMVOC.
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Identifying trends in the ocean wave climate by time series analyses of significant wave heightdata.
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Per- and polyfluorinated substances in the Nordic Countries. Use, occurence and toxicology. TemaNord, 2013:542
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Prioritization, screening and identification of organosilicon contaminants in the environment. NILU F
A mass balance model of chemical fate and bioaccumulation in the environment was used to rank 287 high- and low-production volume organosilicon compounds for their concentration in the environment and in top predators. Key physical chemical properties of each chemical were estimated using quantitative structure-activity relationships (QSARs) and a total emission estimate of each chemical was made using information, which included amounts entering commerce and emission factors. Based on the model predicted concentrations in air, sediment and human tissue, chemicals were selected for screening through environmental sampling and analysis. Known environmental organosilicon contaminants such as the cyclic and linear volatile methyl siloxanes (VMS) were excluded as well as structures subject to rapid hydrolysis, a feature which was not taken into account in the model simulations because of current limitations in predicting hydrolysis half-lives with QSARs. Analytical standards were only commercially available for half of the remaining 30 organosilicon compounds. Ten of these were not stable in solution, which left 5 organosilicon compounds eligible for environmental screening. These were tetrakis(trimethylsilyloxy)silane, phenyl-tris(trimethylsiloxy)silane, trifluoropropyltrimethylcyclotrisiloxane, trifluoropropylmethylcyclotetrasiloxane and tetraphenyltrisiloxane. Four of these chemicals were identified in sewage sludge, in sediment from Stockholm harbor, and in Stockholm ambient air samples. The trifluoropropyl-substituted siloxanes were analysed with UPLC-MS/MS, the others with GC-MS. Trifluoropropyltrimethylcyclotrisiloxane was solely detected as its corresponding linear diol. To date it is unclear whether the diol is present in the environment as such or formed during extraction or cleanup. The concentrations of the chemicals ranged from pg m-3 in air up to ng g-1 d.w. in sewage sludge, which are orders of magnitude below the levels of cyclic VMS (such as D5) in the same matrices.
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