Skip to content
  • Submit

  • Category

  • Sort by

  • Per page

Found 10066 publications. Showing page 114 of 403:

Publication  
Year  
Category

Modelling spatial patterns of correlations between concentrations of heavy metals in mosses and atmospheric deposition in 2010 across Europe

Nickel, Stefan; Schröder, Winfried; Schmalfuss, Roman; Saathoff, Maike; Harmens, Harry; Mills, Gina; Frontasyeva, Marina V.; Barandovski, Lambe; Blum, Oleg; Carballeira, Alejo; Temmerman, Ludwig De; Dunaev, Anatoly M; Ene, Antoaneta; Fagerli, Hilde; Godzik, Barbara; Ilyin, Ilia; Jonkers, Sander; Jeran, Zvonka; Lazo, Pranvera; Leblond, Sebastien; Liiv, Siiri; Mankovska, Blanka; Nunez-Olivera, Encarnacion; Piispanen, Juha; Poikolainen, Jarmo; Popescu, Ion V.; Qarri, Flora; Santamaria, Jesus Miguel; Schaap, Martijn; Skudnik, Mitja; Spiric, Zdravko; Stafilov, Trajce; Steinnes, Eiliv; Stihi, Claudia; Suchara, Ivan; Uggerud, Hilde Thelle; Zechmeister, Harald G

Background: This paper aims to investigate the correlations between the concentrations of nine heavy metals in moss and atmospheric deposition within ecological land classes covering Europe. Additionally, it is examined to what extent the statistical relations are affected by the land use around the moss sampling sites. Based on moss data collected in 2010/2011 throughout Europe and data on total atmospheric deposition modelled by two chemical transport models (EMEP MSC-E, LOTOS-EUROS), correlation coefficients between concentrations of heavy metals in moss and in modelled atmospheric deposition were specified for spatial subsamples defined by ecological land classes of Europe (ELCE) as a spatial reference system. Linear discriminant analysis (LDA) and logistic regression (LR) were then used to separate moss sampling sites regarding their contribution to the strength of correlation considering the areal percentage of urban, agricultural and forestry land use around the sampling location. After verification LDA models by LR, LDA models were used to transform spatial information on the land use to maps of potential correlation levels, applicable for future network planning in the European Moss Survey.
Results: Correlations between concentrations of heavy metals in moss and in modelled atmospheric deposition were found to be specific for elements and ELCE units. Land use around the sampling sites mainly influences the correlation level. Small radiuses around the sampling sites examined (5 km) are more relevant for Cd, Cu, Ni, and Zn, while the areal percentage of urban and agricultural land use within large radiuses (75–100 km) is more relevant for As, Cr, Hg, Pb, and V. Most valid LDA models pattern with error rates of < 40% were found for As, Cr, Cu, Hg, Pb, and V. Land use-dependent predictions of spatial patterns split up Europe into investigation areas revealing potentially high (= above-average) or low (= below-average) correlation coefficients.
Conclusions: LDA is an eligible method identifying and ranking boundary conditions of correlations between atmospheric deposition and respective concentrations of heavy metals in moss and related mapping considering the influence of the land use around moss sampling sites.

2018

Environmental Contaminants in an Urban Fjord, 2017

Ruus, Anders; Bæk, Kine; Petersen, Karina; Allan, Ian; Beylich, Bjørnar; Schlabach, Martin; Warner, Nicholas Alexander; Borgå, Katrine; Helberg, Morten

This programme, “Environmental Contaminants in an Urban Fjord” has covered sampling and analyses
of sediment and organisms in a marine food web of the Inner Oslofjord, in addition to samples of
blood and eggs from herring gull and eider duck. The programme also included inputs of pollutants
via surface water (storm water), and effluent water and sludge from a sewage treatment plant. The
bioaccumulation potential of the contaminants in the Oslo fjord food web was evaluated. The
exposure to/accumulation of the contaminants was also assessed in birds. A vast number of chemical
parameters have been quantified, in addition to some biological effect parameters in cod, and the
report serves as valuable documentation of the concentrations of these chemicals in different
compartments of the Inner Oslofjord marine ecosystem.

Norsk institutt for vannforskning (NIVA)

2018

Air quality in Norwegian cities in 2015. Evaluation Report for NBV Main Results.

Tarrasón, Leonor; Santos, Gabriela Sousa; Vo, Dam Thanh; Vogt, Matthias; Lopez-Aparicio, Susana; Denby, Bruce; Tønnesen, Dag Arild; Sundvor, Ingrid; Røen, Håvard Vika; Høiskar, Britt Ann Kåstad

This report documents the final deliveries of the first phase of development of the Norwegian Air Quality Planning Tool,
also called “Nasjonalt Beregningsverktøy” or NBV. The main purpose of NBV is to provide a common methodological and
information platform for local air quality modelling applications. The system is addressed to local and regional
environmental authorities, air quality experts and consulting companies. It is intended to help them meet the requirements
of current air quality legislation, to support local air quality planning and facilitate air quality good practices where people live.
The report constitutes a comprehensive user guide for the NBV services available at http://www.luftkvalitet-nbv.no. It
presents each of the different products developed at NBV, documents how the product has been calculated, provides
recommendations on how best to use it for planning purposes and explains the main strengths and limitations of each
product. The report also includes an extensive validation of the air quality information currently available at NBV.

NILU

2018

Localized real-time information on outdoor air quality at kindergartens in Oslo, Norway using low-cost sensor nodes

Castell, Nuria; Schneider, Philipp; Grossberndt, Sonja; Fredriksen, Mirjam; Santos, Gabriela Sousa; Vogt, Matthias; Bartonova, Alena

2018

Evaluating impacts of the Arctic sea ice loss and variation on the northern hemisphere climate

Koenigk, Torben; Gao, Yongqi; Gastineau, Guillaume; Keenlyside, Noel; Nakamura, Tetsu; Ogawa, Fumiaki; Orsolini, Yvan; Semenov, Vladimir; Suo, Lingling; Tian, Tian; Wang, Tao; Wettstein, Jonathan J.; Yang, Shuting

2018

Relationships between thyroid hormones and organohalogenated contaminants in White-tailed eagle nestlings

Løseth, Mari Engvig; Eggen, Grethe Stavik; Briels, Nathalie; Nygård, Torgeir; Johnsen, Trond Vidar; Bustnes, Jan Ove; Herzke, Dorte; Poma, Giulia; Malarvannan, Govindan; Covaci, Adrian; Jenssen, Bjørn Munro; Jaspers, Veerle

2018

Long term observations of carbonaceous aerosol at Birkenes

Yttri, Karl Espen; Platt, Stephen Matthew; Eckhardt, Sabine; Solberg, Sverre; Aas, Wenche

2018

The operational system for forecasting of volcanic ash in Norwegian air space

Fagerli, Hilde; Klein, Heiko; Nyiri, Agnes; Steensen, Birthe Marie Rødssæteren; Schulz, Michael; Mortier, Augustin; Borg, Anette Lauen; Bustamante, Alvaro Moises Valdebenito; Kristiansen, Nina Iren; Kylling, Arve; Sollum, Espen; Eckhardt, Sabine; Stohl, Andreas; Tørseth, Kjetil

2018

History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE)

Prinn, Ronald G.; Weiss, Ray F.; Arduini, Jgor; Arnold, Tim; DeWitt, H. Langley; Fraser, Paul J.; Ganesan, Anita L.; Gasore, Jimmy; Harth, Christina M.; Hermansen, Ove; Kim, Jooil; Krummel, Paul B.; Li, Shanlan; Loh, Zöe M.; Lunder, Chris Rene; Maione, Michela; Manning, Alistair J.; Miller, Ben R.; Mitrevski, Blagoj; Muhle, Jens; O'Doherty, Simon; Park, Sunyoung; Reimann, Stefan; Rigby, Matt; Saito, Takuya; Salameh, Peter K.; Schmidt, Roland; Simmonds, Peter G.; Steele, L. Paul; Vollmer, Martin K.; Wang, Ray H.; Yao, Bo; Yokouchi, Yoko; Young, Dickon; Zhou, Lingxi

We present the organization, instrumentation, datasets, data interpretation, modeling, and accomplishments of the multinational global atmospheric measurement program AGAGE (Advanced Global Atmospheric Gases Experiment). AGAGE is distinguished by its capability to measure globally, at high frequency, and at multiple sites all the important species in the Montreal Protocol and all the important non-carbon-dioxide (non-CO2) gases assessed by the Intergovernmental Panel on Climate Change (CO2 is also measured at several sites). The scientific objectives of AGAGE are important in furthering our understanding of global chemical and climatic phenomena. They are the following: (1) to accurately measure the temporal and spatial distributions of anthropogenic gases that contribute the majority of reactive halogen to the stratosphere and/or are strong infrared absorbers (chlorocarbons, chlorofluorocarbons – CFCs, bromocarbons, hydrochlorofluorocarbons – HCFCs, hydrofluorocarbons – HFCs and polyfluorinated compounds (perfluorocarbons – PFCs), nitrogen trifluoride – NF3, sulfuryl fluoride – SO2F2, and sulfur hexafluoride – SF6) and use these measurements to determine the global rates of their emission and/or destruction (i.e., lifetimes); (2) to accurately measure the global distributions and temporal behaviors and determine the sources and sinks of non-CO2 biogenic–anthropogenic gases important to climate change and/or ozone depletion (methane – CH4, nitrous oxide – N2O, carbon monoxide – CO, molecular hydrogen – H2, methyl chloride – CH3Cl, and methyl bromide – CH3Br); (3) to identify new long-lived greenhouse and ozone-depleting gases (e.g., SO2F2, NF3, heavy PFCs (C4F10, C5F12, C6F14, C7F16, and C8F18) and hydrofluoroolefins (HFOs; e.g., CH2 = CFCF3) have been identified in AGAGE), initiate the real-time monitoring of these new gases, and reconstruct their past histories from AGAGE, air archive, and firn air measurements; (4) to determine the average concentrations and trends of tropospheric hydroxyl radicals (OH) from the rates of destruction of atmospheric trichloroethane (CH3CCl3), HFCs, and HCFCs and estimates of their emissions; (5) to determine from atmospheric observations and estimates of their destruction rates the magnitudes and distributions by region of surface sources and sinks of all measured gases; (6) to provide accurate data on the global accumulation of many of these trace gases that are used to test the synoptic-, regional-, and global-scale circulations predicted by three-dimensional models; and (7) to provide global and regional measurements of methane, carbon monoxide, and molecular hydrogen and estimates of hydroxyl levels to test primary atmospheric oxidation pathways at midlatitudes and the tropics. Network Information and Data Repository: http://agage.mit.edu/data or http://cdiac.ess-dive.lbl.gov/ndps/alegage.html (https://doi.org/10.3334/CDIAC/atg.db1001).

2018

Comparison of a new emission inventory for the Nordic countries and global inventories

Paunu, V.-V.; Karvosenoja, N.; Segersson, D.; Lopez-Aparicio, Susana; Nielsen, O. K.; Plejdrup, M. S.; Vo, Dam Thanh; Thorsteinsson, T.; Johansson, L.; Kupiainen, K.; Gon, H. Denier van der; Brandt, J.; Geels, C.

2018

Four years of NewRaptor: results from in ovo exposure in model species and field sampling in raptors

Briels, Nathalie; Ciesielski, Tomasz Maciej; Løseth, Mari Engvig; Jenssen, Bjørn Munro; Eulaers, I.; Sonne, C.; Nygård, Torgeir; Johnsen, Trond Vidar; Gómez-Ramírez, P.; Garcia-Fernandez, A.; Martinez, J.; Bustnes, Jan Ove; Poma, G.; Malarvannan, G.; Covaci, A.; Herzke, Dorte; Styrishave, B.; Jaspers, Veerle

2018

Luften vi puster

Grossberndt, Sonja; Liu, Hai-Ying

2018

Monitoring of the indoor environment of ESB laboratories with selected target and non-target screening methods

Bohlin-Nizzetto, Pernilla; Schlabach, Martin; Halse, Anne Karine; Rostkowski, Pawel Marian

2018

Temporal trends and spatial distribution of traace metals in mosses in Norway

Uggerud, Hilde Thelle; Steinnes, Eiliv; Pfaffhuber, Katrine Aspmo

2018

Global inter-comparison of polyurethane foam passive air samplers evaluating variability due to sampler design and analysis

Melymuk, L.; Bohlin-Nizzetto, Pernilla; Harner, T.; Klanova, J.; Arnador-Munoz, O.; Zuluaga, B. A.; Tominaga, M. Y.; Sweetman, Andrew J.; Jimenez, B.; Dreyer, A.; Odabasi, M.; He, J.; Ma, W.; Ma, J.; Zhang, G.; Mueller, J.; Paxman, C.; Wang, X.

2018

Environmental fate and bioaccumulation of cVMS in a subarctic freshwater lake

Krogseth, Ingjerd Sunde; Undeman, E.; Evenset, Anita; Christensen, G. N.; Whelan, M. J.; Breivik, Knut; Warner, Nicholas Alexander

2018

Publication
Year
Category