Publikasjoner

AI-driven spatiotemporal quantification and prediction of soil salinity at European scale using the LUCAS database

Zarif, Mohammad Aziz; Hassani, Amirhossein; Panagos, Panos; Lebron, Inma; Robinson, David A.; Shokri, Nima

Air and precipitation quality at Kårstø. NILU report

Vogt, M.

Air concentrations and wet deposition of major inorganic ions at five non-urban sites in China, 2001-2003.

Aas, W.; Shao, M.; Jin, L.; Larssen, T.; Zhao, D.; Xiang, R.; Zhang, J.; Xiao, J.; Duan, L.

Air Emission systems. Technical Description. Front End Engineering & Design (FEED) Services for Air Monitoring System Project. NILU OR

Marsteen, L.

Air implementation pilot- Lessons learnt from the implementation of air quality legislation at urban level. EEA report, 7/2013

González Ortiz, A.; Mourelatou, A.; Schilling J.; Verheye, T.; Brockett, S.; Buzica, D.; Arduino G.; de Wilt W.; Castell, N.; Nagl, C.; Malherbe, L.; de Leeuw, F.; Targa, J.; Viana, M.; Döring, U.; Rouïl, L.; Guerreiro, C.; Tarrasón, L.

Air implementation pilot: Management practices (update 2013). ETC/ACM Technical Paper, 2013/7

Castell, N.; Guerreiro, C.

Air is an important matrix for environmental specimen banking - why and how.

Halse, Anne Karine

Air monitoring at the Trollhaugen Observatory in Antarctica

Aas, Wenche; Eckhardt, Sabine; Evangeliou, Nikolaos; Fiebig, Markus; Halse, Anne Karine; Hansen, Georg H.; Lunder, Chris Rene; Myhre, Cathrine Lund; Bohlin-Nizzetto, Pernilla; Pfaffhuber, Katrine Aspmo; Platt, Stephen Matthew; Schmidbauer, Norbert; Solberg, Sverre; Svendby, Tove Marit; Yttri, Karl Espen

Air pollutants - effects on Norwegian forests. NILU F

Tørseth, K.

Air pollution - measurements and modelling.

Tønnesen, D.

Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors

Paunu, Ville-Veikko; Karvosenoja, Niko; Segersson, David; Lopez-Aparicio, Susana; Nielsen, Ole-Kenneth; Plejdrup, Marlene S.; Thorsteinsson, Throstur; Vo, Dam Thanh; Kuenen, Jeroen; van der Gon, Hugo Denier; Jalkanen, Jukka-Pekka; Brandt, Jørgen; Geels, Camilla

Air pollution is an important cause of adverse health effects, even in the Nordic countries, which have relatively good air quality. Modelling-based air quality assessment of the health impacts relies on reliable model estimates of ambient air pollution concentrations, which furthermore rely on good-quality spatially resolved emission data. While quantitative emission estimates are the cornerstone of good emission data, description of the spatial distribution of the emissions is especially important for local air quality modelling at high resolution. In this paper we present a new air pollution emission inventory for the Nordic countries with high-resolution spatial allocation (1 km × 1 km) covering the years 1990, 1995, 2000, 2005, 2010, 2012, and 2014. The inventory is available at https://doi.org/10.5281/zenodo.10571094 (Paunu et al., 2023). To study the impact of applying national data and methods to the spatial distribution of the emissions, we compared road transport and machinery and off-road sectors to CAMS-REGv4.2, which used a consistent spatial distribution method throughout Europe for each sector. Road transport is a sector with well-established proxies for spatial distribution, while for the machinery and off-road sector, the choice of proxies is not as straightforward as it includes a variety of different type of vehicles and machines operating in various environments. We found that CAMS-REGv4.2 was able to produce similar spatial patterns to our Nordic inventory for the selected sectors. However, the resolution of our Nordic inventory allows for more detailed impact assessment than CAMS-REGv4.2, which had a resolution of 0.1° × 0.05° (longitude–latitude, roughly 5.5 km × 3.5–6.5 km in the Nordic countries). The EMEP/EEA Guidebook chapter on spatial mapping of emissions has recommendations for the sectoral proxies. Based on our analysis we argue that the guidebook should have separate recommendations for proxies for several sub-categories of the machinery and off-road sectors, instead of including them within broader sectors. We suggest that land use data are the best starting point for proxies for many of the subsectors, and they can be combined with other suitable data to enhance the spatial distribution. For road transport, measured traffic flow data should be utilized where possible, to support modelled data in the proxies.

Air pollution exposure monitoring and estimating. Part VI: Ambient exposure of adults in an industrialised region.

Clench-Aas, J.; Bartonova, A.; Grønskei, K E.; Hagen, L.O.; Braathen, O.A.; Walker, S.E.

Air pollution exposure monitoring and estimation. Part II: Model evaluation and population exposure.

Walker, S.E.; Slørdal, L.H.; Guerreiro, C.; Gram, F.; Grønskei, K.E.