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Found 9889 publications. Showing page 86 of 396:

Publication  
Year  
Category

Contribution from shipping to current and future urban air pollution - A case study in Oslo.

Lopez-Aparicio, S.; Tønnesen, D.; Thanh, T.N.; Neilson, H.

2015

Contribution of agriculture to air quality problems in cities and in rural areas in Europe ETC/ACM Technical Paper, 2013/10

Lopez-Aparicio, S.; Guerreiro, C.; Viana, M.; Reche, C.; Querol , X.

2013

Contribution of brick kilns to air quality and health impacts in Dhaka, Bangladesh. NILU PP

Randall, S.; Sivertsen, B.; Sundseth, K.; Dela Cruz, N.; Uddin, Md. N.; Rana, Md. M.

2014

Contribution of earth observation to understanding the upwelling conditions off the SW coast of Portugal. ESA SP-703

Icely, J.D.; Moore, G.F.; Goela, P.C.; Cristina, S.V.; Newton, A.

2012

Contribution of fluorescent primary biological aerosol particles to low-level Arctic cloud residuals

Pereira Freitas, Gabriel; Kopec, Ben; Adachi, Kouji; Krejci, Radovan; Heslin-Rees, Dominic; Yttri, Karl Espen; Hubbard, Alun Lloyd; Welker, Jeffrey M.; Zieger, Paul

Mixed-phase clouds (MPCs) are key players in the Arctic climate system due to their role in modulating solar and terrestrial radiation. Such radiative interactions rely, among other factors, on the ice content of MPCs, which is regulated by the availability of ice-nucleating particles (INPs). While it appears that INPs are associated with the presence of primary biological aerosol particles (PBAPs) in the Arctic, the nuances of the processes and patterns of INPs and their association with clouds and moisture sources have not been resolved. Here, we investigated for a full year the abundance of and variability in fluorescent PBAPs (fPBAPs) within cloud residuals, directly sampled by a multiparameter bioaerosol spectrometer coupled to a ground-based counterflow virtual impactor inlet at the Zeppelin Observatory (475 m a.s.l.) in Ny-Ålesund, Svalbard. fPBAP concentrations (10−3–10−2 L−1) and contributions to coarse-mode cloud residuals (0.1 to 1 in every 103 particles) were found to be close to those expected for high-temperature INPs. Transmission electron microscopy confirmed the presence of PBAPs, most likely bacteria, within one cloud residual sample. Seasonally, our results reveal an elevated presence of fPBAPs within cloud residuals in summer. Parallel water vapor isotope measurements point towards a link between summer clouds and regionally sourced air masses. Low-level MPCs were predominantly observed at the beginning and end of summer, and one explanation for their presence is the existence of high-temperature INPs. In this study, we present direct observational evidence that fPBAPs may play an important role in determining the phase of low-level Arctic clouds. These findings have potential implications for the future description of sources of ice nuclei given ongoing changes in the hydrological and biogeochemical cycles that will influence the PBAP flux in and towards the Arctic

2024

Contribution of forest fire emissions to atmospheric pollution in Greece.

Lazaridis, M.; Latos, M.; Aleksandropoulou, V.; Hov, Ø.; Papayannis, A.; Tørseth, K.

2008

Contribution of methane to aerosol carbon mass.

Bianchi, F.; Barmet, P.; Stirnweis, L.; El Haddad, I.; Platt, S.M.; Saurer, M.; Lötscher, C.; Siegwolf, R.; Bigi, A.; Hoyle, C.R.; Decarlo, P.F.; Slowik, J.G.; Prévôt, A.S.H.; Baltensperger, U.; Dommen, J.

2016

Contribution of remote sensing products to the management of offshore aquaculture at Sagres, SW Portugal. ESA SP-711

Icely, J.D.; Moore, G.F.; Danchenko, S.A.; Goela, P.C.; Cristina, S.V.; Zacarias, M.; Newton, A.

2013

Contribution of ship traffic to aerosol particle concentrations downwind of a major shipping lane.

Kivekäs, N.; Massling, A.; Grythe, H.; Lange, R.; Rusnak, V.; Carreno, S.; Skov, H.; Swietlicki, E.; Nguyen, Q. T.; Glasius, M.; Kristensson, A.

2014

Contribution of the Sagres site (Portugal) to the upgrade and validation of the algorithms for the MERIS 4th Reprocessing.

Icely, J.; Cristina, S.; D'Alimonte, D.; Danchenko, S.; Fragoso, B.; Goela, P.; Kajiyama, T.; Moore, G.; Newton, A.; Sá, C.

2016

Contribution of traffic to urban air quality and mitigation strategies in European Cities. NILU F

Hak, C.; Larssen, S.; Randall, S.; Guerreiro, C.; Denby, B.

2010

Contribution of wood burning to PM10 in London.

Fuller, G.W.; Tremper, A.H.; Baker, T.D.; Yttri, K.E.; Butterfield, D.

2014

Contributions of Icelandic and other high-latitude sources to mineral dust in the Arctic.

Zwaaftink, C. G.; Grythe, H.; Arnalds, O.; Dagsson-Waldhauserova, P.; Skov, H.; Jóhannsson, T.; Eckhardt, S.; Stohl, A.

2017

Contributions of Nordic anthropogenic emissions on air pollution and premature mortality over the Nordic region and the Arctic

Im, Ulas; Christensen, Jesper H.; Nielsen, Ole-Kenneth; Sand, Maria; Makkonen, Risto; Geels, Camilla; Anderson, Camilla; Kukkonen, Jaakko; Lopez-Aparicio, Susana; Brandt, Jørgen

This modeling study presents the sectoral contributions of anthropogenic emissions in the four Nordic countries (Denmark, Finland, Norway and Sweden) on air pollution levels and the associated health impacts and costs over the Nordic and the Arctic regions for the year 2015. The Danish Eulerian Hemispheric Model (DEHM) has been used on a 50 km resolution over Europe in tagged mode in order to calculate the response of a 30 % reduction of each emission sector in each Nordic country individually. The emission sectors considered in the study were energy production, non-industrial/commercial heating, industry, traffic, off-road mobile sources and waste management/agriculture. In total, 28 simulations were carried out. Following the air pollution modeling, the Economic Valuation of Air Pollution (EVA) model has been used to calculate the associated premature mortality and their costs. Results showed that more than 80 % of the PM2.5 concentration was attributed to transport from outside these four countries, implying an effort outside the Nordic region in order to decrease the pollutant levels over the area. The leading emission sector in each country was found to be non-industrial combustion (contributing by more than 60 % to the total PM2.5 mass coming from the country itself), except for Sweden, where industry contributed to PM2.5 with a comparable amount to non-industrial combustion. In addition to non-industrial combustion, the next most important source categories were industry, agriculture and traffic. The main chemical constituent of PM2.5 concentrations that comes from the country itself is calculated to be organic carbon in all countries, which suggested that non-industrial wood burning was the dominant national source of pollution in the Nordic countries. We have estimated the total number of premature mortality cases due to air pollution to be around 4000 in Denmark and Sweden and around 2000 in Finland and Norway. These premature mortality cases led to a total cost of EUR 7 billion in the selected Nordic countries. The assessment of the related premature mortality and associated cost estimates suggested that non-industrial combustion, together with industry and traffic, will be the main sectors to be targeted in emission mitigation strategies in the future.

2019

Contributions to carbonaceous particulate matter in Oslo, Norway.

Slørdal, L.H.; Simpson, D.; Yttri, K.E.; Svendby, T.M.; Solberg, S.

2008

Control of metals from energy and industrial sources.

Sundseth, K.; Pacyna, J.M.; Pacyna, E.G.

2016

Convention on long-range transboundary air pollution. UN/ECE international co-operative programme on effects on materials, including historic and cultural monuments. Environmental data report. October 2017 to November 2018.

Grøntoft, Terje; Roux, Marta Segura

This report presents the ICP Materials database for the period October 2017 - November 2018. It includes environmental data from the ICP Materials trend exposure programme for 2017 - 2018, and in addition, data for temperature, relative humidity, and precipitation amount back to the end of the previous annual exposure porgramme in October/November 2015. The database consists of meteorological data (T, RH and precipitation amount) and pollution data, as gas concentrations, amounts of ions in precipitation, particle concentrations and amounts of particle deposition.

NILU

2020

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