Found 9886 publications. Showing page 234 of 396:
2009
Greenhouse gas monitoring at the Zeppelin station, Ny-Ålesund, Svalbard, Norway. Annual report 2003. NILU OR
2004
2015
2016
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.
2013
2014
2025
2013
2013
2013
2024
Atmospheric nitrogen and sulfur deposition is an important effect of atmospheric pollution and may affect forest ecosystems positively, for example enhancing tree growth, or negatively, for example causing acidification, eutrophication, cation depletion in soil or nutritional imbalances in trees. To assess and design measures to reduce the negative impacts of deposition, a good estimate of the deposition amount is needed, either by direct measurement or by modeling. In order to evaluate the precision of both approaches and to identify possible improvements, we compared the deposition estimates obtained using an Eulerian model with the measurements performed by two large independent networks covering most of Europe. The results are in good agreement (bias <25%) for sulfate and nitrate open field deposition, while larger differences are more evident for ammonium deposition, likely due to the greater influence of local ammonia sources. Modeled sulfur total deposition compares well with throughfall deposition measured in forest plots, while the estimate of nitrogen deposition is affected by the tree canopy. The geographical distribution of pollutant deposition and of outlier sites where model and measurements show larger differences are discussed.
Frontiers Media S.A.
2021
2017