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Fant 9747 publikasjoner. Viser side 358 av 390:

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To coordinate an EU-proposal

Mariussen, Espen

2020

To what extent will projected changes in global emissions affect the mercury levels in the Arctic atmosphere and ocean?

Pacyna, J.M.; Sundseth, K.; Christensen, J.; Dastoor, A.; Macdonald, R.; Munthe, J.; Ryzhkov, A.; Travnikov, O.; Wilson, S.

2011

Today's epidemics in children: Possible relations to environmental pollution and suggested preventive measures.

Van Den Hazel, P.; Zuurbier, M.; Babisch, W.; Bartonova, A.; Bistrup, M.L.; Bolte, G.; Busby, C.; Butter, M.; Ceccatelli, S.; Fucic, A.; Hanke, W.; Johansson, C.; Kohlhuber, M.; Leijs, M.; Lundqvist, C.; Moshammer, H.; Naginiene, R.; Preece, A.; Ronchetti, R.; Salines, G.; Saunders, M.; Schoeters, G.; Stilianakis, N.; Ten Tusscher, G.; Koppe, J.

2006

Tomme flyplasser og færre flyturer har lite å si for klimaet

Platt, Stephen Matthew; Andrew, Robbie (intervjuobjekter); Grønning, Trygve (journalist)

2021

Tomographic 3D reconstructions of artificial releases of SO2 in the atmospheric boundary layer

Pisso, Ignacio; Cassiani, Massimo; Stebel, Kerstin; Kylling, Arve; Dinger, Anna Solvejg; Ardeshiri, Hamidreza; Park, Soon-Young; Schmidbauer, Norbert; Stohl, Andreas

2022

Tomographic 3D Reconstructions of Artificial Releases of SO2 in the Atmospheric Boundary Layer

Pisso, Ignacio; Cassiani, Massimo; Stebel, Kerstin; Park, Soon-Young; Schmidbauer, Norbert; Kylling, Arve; Stohl, Andreas; Ardeshiri, Hamidreza; Dinger, Anna Solvejg

2022

Tomographic iterative reconstruction of a passive scalar in a 3D turbulent flow

Pisso, Ignacio; Kylling, Arve; Cassiani, Massimo; Ardeshiri, Hamidreza; Park, Soon-Young; Stebel, Kerstin; Dinger, Anna Solvejg; Schmidbauer, Josef Norbert; Stohl, Andreas

2018

Tomographic iterative reconstruction of a passive scalar in a 3D turbulent flow.

Pisso, I.; Kylling, A.; Cassiani, M.; Dinger, A. S.; Stebel, K.; Schmidbauer, N.; Stohl, A.

2017

Toolkit for chemical forensics

Mudge, Stephen Michael

2019

Tools for assessing emissions and urban air quality abatement studies. NILU PP

Mc Innes, H.; Jablonska, H.T.B.; Innset, B.; Laupsa, H.

2006

Tools for emission assessment and abatement studies. NILU TR

Mc Innes, H.; Jablonska, H.T.B.; Innset, B.

2006

Top-down approaches

Thompson, Rona Louise; Chevallier, Frédéric; Maksyutov, Shamil; Patra, Prabir K.; Bowman, Kevin

2022

Top-down assessment of air pollution and GHGs for Dhaka, Bangladesh. Analysis of GAINS derived model data. NILU TR

Randall, S.

The city of Dhaka was chosen for this assessment due to the current ongoing project Bangladesh Air Pollution Management (BAPMAN), which concentrates mostly on the capital city Dhaka. The Greenhouse Gas and Air Pollution Interactions and Synergies model (GAINS) was used to performed this top-down assessment due to the models integrated assessment approach of capturing interactions between air pollution control and economic development, as well as its focus on presenting cost effective pollution control strategies. Results from the GAINS model assessment for Dhaka shows that for 2010 the total PM2.5 emissions were 35000 tons/year, and the total PM10 emissions were 45000 tons/year. The top sectors making up the PM emissions included Industry and Residential sectors, where the specific sub-sectors were brick/cement production and residential cooking respectively; the top activities making up the emissions were 'no fuel use' and 'fuelwood direct'. GAINS estimates that the top 3 technical control measures available for PM can eliminate approximately 1/3 of the PM emissions at a cost of .65 MEuro/year. GAINS results also shows that for Dhaka in 2010 the total SO2 emissions were 34000 tons/year, dominated by the Industrial sector, made up of the sub-sectors of new power plants and industrial combustion; top activities contributing to these emissions are hard coal and natural gas. NOX emissions for Dhaka in 2010 were 30000 tons/year, dominated by the Industrial and Transport sectors, made up of the industrial combustion/power plant and light/heavy duty sub-sectors respectively; top activities contributing to these emissions include natural gas, gasoline, and medium distillates. GHG emissions for Dhaka in 2010 exceeded 23 million tons/year, dominated by the Industrial and Agricultural sectors, comprising of the industrial combustion and new power plant sub-sectors; top activities contributing to these emissions include natural gas and hard coal.

2011

Top-down assessment of the Asia carbon budget since the mid 1990s.

Canadell, P.; Thompson, R. L.; Patra, P.; Chevallier, F.; Maksyutov, S.; Law, R.; Ziehn, T.; van der Laan-Luijkx, I.; Peters, W.; Ganshin, A.; Zhuravlev, R.; Maki, T.; Nakamura, T.; Shirai, T.; Poulter, B.; Ciais, P.

2015

Top-down assessment of the Asian carbon budget since the mid 1990s.

Thompson, R.L.; Patra, P.K.; Chevallier, F.; Maksyutov, S.; Law, R.M.; Ziehn, T.; van der Laan-Luijkx, I.T.; Peters, W.; Ganshin, A.; Zhuravlev, R.; Maki, T.; Nakamura, T.; Shirai, T.; Ishizawa, M.; Saeki, T.; Machida, T.; Poulter, B.; Canadell, J.G.; Ciais, P.

2016

Top-down constraints on atmospheric mercury emissions and implications for global biogeochemical cycling.

Song, S.; Selin, N.E.; Soerensen, A.L.; Angot, H.; Artz, R.; Brooks, S.; Brunke, E.-G.; Conley, G.; Dommergue, A.; Ebinghaus, R.; Holsen, T.M.; Jaffe, D.A.; Kang, S.; Kelley, P.; Luke, W. T.; Magand, O.; Marumoto, K.; Pfaffhuber, K.A.; Ren, X.; Sheu, G.-R.; Slemr, F.; Warneke, T.; Weigelt, A.; Weiss-Penzias, P.; Wip, D.C.; Zhang, Q.

2015

Top-down estimate of methane fluxes in Siberia in 2020

Marthinsen, Erik; Thompson, Rona Louise; Pisso, Ignacio; Westermann, Sebastian; Müller, Jurek; Sasakawa, Motoki; Zaehle, Sönke

2023

Top-down estimates of benzene and toluene emissions in the Pearl River Delta and Hong Kong, China.

Fang, X. K.; Shao, M.; Stohl, A.; Zhang, Q.; Zheng, J. Y.; Guo, H.; Wang, C.; Wang, M.; Ou, J. M.; Thompson, R. L.; Prinn, R. G.

2016

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