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Fant 9199 publikasjoner. Viser side 5 av 368:

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A global strategy for atmospheric interdisciplinary research in the European research area, AIRES in ERA. Air pollution report, 76; EUR 19436

Hov, Ø.; Amanatidis, G.T.; Angeletti, G.; Brasseur, G.; Harris, N.; Mégie, G, Schumann, U.; Slania, S. (eds.)

2001

A high-resolution dynamic probabilistic material flow analysis of seven plastic polymers; A case study of Norway

Abbasi, Golnoush; Hauser, Marina Jennifer; Baldé, Cornelis Peter; Bouman, Evert Alwin

Plastic pollution has long been identified as one of the biggest challenges of the 21st century. To tackle this problem, governments are setting stringent recycling targets to keep plastics in a closed loop. Yet, knowledge of the stocks and flows of plastic has not been well integrated into policies. This study presents a dynamic probabilistic economy-wide material flow analysis (MFA) of seven plastic polymers (HDPE, LDPE, PP, PS, PVC, EPS, and PET) in Norway from 2000 to 2050. A total of 40 individual product categories aggregated into nine industrial sectors were examined. An estimated 620 ± 23 kt or 114 kg/capita of these seven plastic polymers was put on the Norwegian market in 2020. Packaging products contributed to the largest share of plastic put on the market (∼40%). The accumulated in-use stock in 2020 was about 3400 ± 56 kt with ∼60% remaining in buildings and construction sector. In 2020, about 460 ± 22 kt of plastic waste was generated in Norway, with half originating from packaging. Although ∼50% of all plastic waste is collected separately from the waste stream, only around 25% is sorted for recycling. Overall, ∼50% of plastic waste is incinerated, ∼15% exported, and ∼10% landfilled. Under a business-as-usual scenario, the plastic put on the market, in-use stock, and waste generation will increase by 65%, 140%, and 90%, respectively by 2050. The outcomes of this work can be used as a guideline for other countries to establish the stocks and flows of plastic polymers from various industrial sectors which is needed for the implementation of necessary regulatory actions and circular strategies. The systematic classification of products suitable for recycling or be made of recyclate will facilitate the safe and sustainable recycling of plastic waste into new products, cap production, lower consumption, and prevent waste generation.

Elsevier

2023

A high-throughput method to screen organic chemicals in commerce for emissions. NILU PP

Breivik, K.; Arnot, J.A.; Brown, Wania, F.; McLachlan, M.S.

2011

A history about Lagrangian modelling - transport of hazardous substances through the atmosphere

Eckhardt, Sabine; Sigl, Michael; Pisso, Ignacio; Evangeliou, Nikolaos; Stebel, Kerstin

2023

A holistic aproach to assess traffic measures.

Klaeboe, R.; Kolbenstvedt, M.; Clench-Aas, J.; Bartonova, A.

1999

A lagrangian case study of the evolution of aerosol composition from a boreal fire plume during the ARCTAS campaign.

Cubison, M.; Jimenez, J.L.; Sueper, D.; Burkhart, J.F.; Wisthaler, A.; Mikovny, T.; Apel, E.C.,Hills, A.J.; Weinheimer, A.; Knapp, D.J.; Emmons, L.K.; Fuelberg, H.E.; Sessions, W.; Diskin, G.S.; Sachse, G.W.; Huey, L.G.

2009

A large eddy simulation study of mean dispersion and concentration fluctuations from a point source.

Cassiani, M.; Ardeshiri, H.; Park, S.-Y.; Stohl, A.; Marro, M.; Salizzoni, P.; Pisso, I.; Stebel, K.; Dinger, A. S.; Kylling, A.

2017

A life-cycle perspective on the benefits of renewable electricity generation in the EU27

Bouman, Evert Alwin; Barre, Francis Isidore; Booto, Gaylord Kabongo; Ebrahimi, Babak

2023

A model study of ozone laminae at ALOMAR. Air pollution report, 69

Orsolini, Y J.; Hansen, G.; Hoppe, U P.; Manney, G L.; Livesey, N.

1999

A modelling study of an extraordinary night time episode over Madrid domain.

San José, R.; Stohl, A.; Karatzas, Bøhler, T.; James, P.; Pérez, J.L.

2005

A module to calculate primary particulate matter emissions and abatement measures in Europe.

Lükewille, A.; Bertok, I.; Amann, M.; Cofala, J.; Gyarfas, F.; Johansson, M.; Klimont, Z.; Pacyna, E.; Pacyna, J.

2001

A multi-model analysis of vertical ozone profiles.

Jonson, J.E.; Stohl, A.; Fiore, A.M.; Hess, P.; Szopa, S.; Wild, O.; Zeng, G.; Dentener, F.J.; Lupu, A.; Schultz, M.G.; Duncan, B.N.; Sudo, K.; Wind, P.; Schulz, M.; Marmer, E.; Cuvelier, C.; Keating, T.; Zuber, A.; Valdebenito, A.; Dorokhov, V.; De Backer, H.; Davies, J.; Chen, G.H.; Johnson, B.; Tarasick, D.W.; Stübi, R.; Newchurch, M.J.; von der Gathen, P.; Steinbrecht, W.; Claude, H.

2010

A multi-model comparison of meteorological drivers of surface ozone over Europe

Otero, Noelia; Sillmann, Jana; Mar, Kathleen; Rust, Henning W.; Solberg, Sverre; Andersson, Camilla; Engardt, Magnuz; Bergström, Robert; Bessagnet, Bertrand; Colette, Augustin; Couvidat, Florian; Cuvelier, Cornelius; Tsyro, Svetlana; Fagerli, Hilde; Schaap, Martijn; Manders, Astrid; Mircea, Mihaela; Briganti, Gino; Cappelletti, Andrea; Adani, Mario; D'Isidoro, Massimo; Pay, María Teresa; Theobald, Mark; Vivanco, Marta G.; Wind, Peter Ariaan; Ojha, Narendra; Raffort, Valentin; Butler, Tim

The implementation of European emission abatement strategies has led to a significant reduction in the emissions of ozone precursors during the last decade. Ground-level ozone is also influenced by meteorological factors such as temperature, which exhibit interannual variability and are expected to change in the future. The impacts of climate change on air quality are usually investigated through air-quality models that simulate interactions between emissions, meteorology and chemistry. Within a multi-model assessment, this study aims to better understand how air-quality models represent the relationship between meteorological variables and surface ozone concentrations over Europe. A multiple linear regression (MLR) approach is applied to observed and modelled time series across 10 European regions in springtime and summertime for the period of 2000–2010 for both models and observations. Overall, the air-quality models are in better agreement with observations in summertime than in springtime and particularly in certain regions, such as France, central Europe or eastern Europe, where local meteorological variables show a strong influence on surface ozone concentrations. Larger discrepancies are found for the southern regions, such as the Balkans, the Iberian Peninsula and the Mediterranean basin, especially in springtime. We show that the air-quality models do not properly reproduce the sensitivity of surface ozone to some of the main meteorological drivers, such as maximum temperature, relative humidity and surface solar radiation. Specifically, all air-quality models show more limitations in capturing the strength of the ozone–relative-humidity relationship detected in the observed time series in most of the regions, for both seasons. Here, we speculate that dry-deposition schemes in the air-quality models might play an essential role in capturing this relationship. We further quantify the relationship between ozone and maximum temperature (mo3 − T, climate penalty) in observations and air-quality models. In summertime, most of the air-quality models are able to reproduce the observed climate penalty reasonably well in certain regions such as France, central Europe and northern Italy. However, larger discrepancies are found in springtime, where air-quality models tend to overestimate the magnitude of the observed climate penalty.

2018

A multi-pollutant and multi-sectorial approach to screening the consistency of emission inventories

Thunis, Philippe; Clappier, Alain; Pisoni, Enrico; Bessagnet, Bertrand; Kuenen, Jeroen; Guevara, Marc; Lopez-Aparicio, Susana

Some studies show that significant uncertainties affect emission inventories, which may impeach conclusions based on air-quality model results. These uncertainties result from the need to compile a wide variety of information to estimate an emission inventory. In this work, we propose and discuss a screening method to compare two emission inventories, with the overall goal of improving the quality of emission inventories by feeding back the results of the screening to inventory compilers who can check the inconsistencies found and, where applicable, resolve errors. The method targets three different aspects: (1) the total emissions assigned to a series of large geographical areas, countries in our application; (2) the way these country total emissions are shared in terms of sector of activity; and (3) the way inventories spatially distribute emissions from countries to smaller areas, cities in our application. The first step of the screening approach consists of sorting the data and keeping only emission contributions that are relevant enough. In a second step, the method identifies, among those significant differences, the most important ones that provide evidence of methodological divergence and/or errors that can be found and resolved in at least one of the inventories. The approach has been used to compare two versions of the CAMS-REG European-scale inventory over 150 cities in Europe for selected activity sectors. Among the 4500 screened pollutant sectors, about 450 were kept as relevant, among which 46 showed inconsistencies. The analysis indicated that these inconsistencies arose almost equally from large-scale reporting and spatial distribution differences. They mostly affect SO2 and PM coarse emissions from the industrial and residential sectors. The screening approach is general and can be used for other types of applications related to emission inventories.

2022

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