Publications

GEIA's vision for improved emissions information. NILU F

Frost, G.J.; Granier, C.; Middleton, P.; Tarrasón, L.

Introduction to Proton-Transfer-Reaction Mass Spectrometry (PTR-MS) (Part I). NILU F

Wisthaler, A.

Heavy metals: transboundary pollution of the environment. EMEP Status Report, 2/2013

Ilyin, I.; Rozovskaya, O.; Travnikov, O.; Varygina, M.; Aas, W.; Uggerud, H.T.

Ag nanoparticles: size- and surface-dependent effects on model aquatic organisms and uptake evaluation with NanoSIMS.

Georgantzopoulou, A.; Balachandran, Y.L.; Rosenkranz, P.; Dusinska, M.; Lankoff, A.; Wojewodzka, M.; Kruszewski, M.; Guignard, C.; Audinot, J.N.; Girija, S.; Hoffmann, L.; Gutleb, A.C.

Review of assessment of existing CAS/DAS, review of technical specification for CAS/DAS. NILU OR

Marsteen, L.; Ødegård, R.; Bøhler, T.

NILU and GIOS, Poland, are implementing the project "Strengthening the air quality assessment system in Poland, based on Norwegian experience" as part of the programme "Improving Environmental Monitoring and Inspection" within the framework of the European Economic Area 2009-2014.

This report is a NILU review of two assessment reports covering Iséo and CSMS data management systems in use in Poland and the draft technical tender for purchasing a new data management system to replace the Iséo systems.

GIOS has, as part of the preparation for tendering, assessed the existing systems in the 16 VIEPs and compiled their findings in two reports. The VIEPs currently have 3 different systems. In the draft tender GIOS asks for a replacement of the existing XR systems from Iséo used in 8 VIEPs.

NILU has reviewed the documents provided by GIOS. However, due to the limited time available for this review, NILU has not carried out any technical testing of the current operational acquisition system, for verification of the documents claim's.

The assessment reports give a good overview of the DAS and CAS systems used in the VIEPs regarding both technical issues and user experiences. The information in the reports feeds into report no. 3 on tender specifications.

Is terrestrial moss a useful substrate for the assessment of atmospheric deposition of POPs? Implications from the 2010 moss survey in Norway. NILU F

Steinnes, E.; Schuster, J.K.; Schlabach, M.; Jones, K.C.

Methane emission estimates in East Asia from a Bayesian atmospheric inversion. NILU F

Thompson, R.; Stohl, A.; Zhou, L.X.; Dlugokencky, E.J.; Fukuyama, Y.; Tohjima, Y.; Kim, S.; Lee, H.; Weiss, R.F.; Prinn, R.G.; O'Doherty, S.; Fraser, P.J.

The role of reference methods and quality assurance (QA) programmes in EMEP (European Monitoring and Evaluation Programme) - Long-term observational monitoring networks: Interaction with communities, new technologies and methods for air pollution monitoring. NILU F

Aas, W.

Simulation of SEVIRI infrared channels: a case study from the Eyjafjallajökull April/May 2010 eruption.

Kylling, A.; Buras, R.; Eckhardt, S.; Emde, C.; Mayer, B.; Stohl, A.

Using UncertWeb for improved decision making. UncertWeb Consortium Deliverable 3.5.

Heuvelink, G.; Helle, K.; Pebesma, E.; Rasouli, S.; Stasch, C.; Truong, P.; Walker, S.E.

Transboundary particulate matter in Europe: Status report 2013. EMEP report, 4/2013

Aas, W.; Yttri, K.E.; Stohl, A.; Myhre, C.L.; Karl, M.; Tsyro, S.; Mareckova, K.; Wankmüller, R.; Klimont, Z.; Heyes, C.; Alastuey, A.; Querol, X.; Perez, N.; Moreno, T.; Lucarelli, F.; Areskoug, H.; Balan, V.; Cavalli, F.; Puyaud, J.-P.; Cape,.N.; Catrambone, M.; Ceburnis, D.; Conil, S.; Gevorgyan, L.; Jaffrezo, J.L.; Hueglin, C.; Mihalopoulos, N.; Mitosinkova, M.; Riffault, V.; Sellegri, K.; Spindel, G.; Schuck, T.; Pfeffer, U.; Breuer, L.; Adolfs, D.; Chuntonova, L.; Arabidze, M.; Abdulazizov, E.

Greenhouse gas inventory for Abu Dhabi Emirate. Technical basis & results of the first inventory. NILU OR

Hamed, H.; John, P.

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.