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Found 9972 publications. Showing page 259 of 399:

Publication  
Year  
Category

Nitrogen fertilisers are incredibly efficient, but they make climate change a lot worse

Canadell, P.; Tian, Hanqin; Patra, Prabir; Thompson, Rona Louise

2020

Nitrogen oxides.

Lövblad, G.; Tarrasón, L.; Tørseth, K.

2004

Nitrogen: den ukjente klimatrusselen

Tørseth, Kjetil; Austnes, Kari (interview subjects); Høseggen, Simen (journalist)

2019

Nitrous oxide emission from North America based on bottom-up and top-down approaches: trends, drivers, and comparison

Xu, Rongting; Tian, Hanqin; Thompson, Rona Louise; Canadell, Josep G.; GCP/INI Synthesis Team, *

2019

Nitrous oxide emissions 1999 to 2009 from a global atmospheric inversion.

Thompson, R.L.; Chevallier, F.; Crotwell, A.M.; Dutton, G.; Langenfelds, R.L.; Prinn, R.G.; Weiss, R.F.; Tohjima, Y.; Nakazawa, T.; Krummel, P.B.; Steele, L.P.; Fraser, P.; Ishijima, K.; Aoki, S.

2014

Nivåer av tungmetaller og PCBer i elgkjøtt fra Sør-Varanger 2020

Under høstjakta på elg (Alces alces) i 2020 ble det tatt vevsprøver til analyser av tungmetaller og PCB. Tungmetallprøver ble tatt av 24 individer; 4 hunnkalver, 4 hannkalver, 3 hanner av åringer og 13 okser (voksne hanner). PCB analyser ble gjort av vevsprøver som ble tatt av 2 hunnkalver, 3 hannkalver, 2 hann-åringer og 9 okser (totalt 16 dyr). De felte dyrene har god geografisk spredning fra sør til nord og nord-øst i kommunen. Tungmetallene som ble analysert var krom (Cr), nikkel (Ni), kobber (Cu), sink (Zn), arsen (As), sølv (Ag), kadmium (Cd), tinn (Sn), bly (Pb) og kvikksølv (Hg). PCB ble analysert for 34 kongenere pluss sumPCB6 og sumPCB7. De fleste konsentrasjonene av tungmetallene var svært lave og flere var under deteksjonsgrensene. Ellers var det bare sporadiske lave forekomster av de 32 PCBene som ble funnet i noen av de undersøkte elgene. Det var bare heksaklorbensen som ble detektert i alle prøvene fra elgene).

NIBIO

2023

NO produced by energetic electron precipitation during a geomagnetic storm in April 2010 - model vs observations.

Smith-Johnsen C.; Marsh, D.; Orsolini, Y.; Tyssøy, H. N.; Hendrickx, K.; Glesnes Ødegaard, L.-K.; Stordal, F.; Megner, L.

2016

NO produced by energetic electron precipitation during a geomagnetic storm in April 2010.

Smith-Johnsen, C.; Stordal, F.; Orsolini, Y.J.; Tissøy H.

2016

NO2 calculations for 2010 and 2025 in Oslo and Bærum. Contribution from diesel cars and possible precautions. NILU OR

Sundvor, I.; Tarrasón, L.; Walker, S-E.; Tønnesen, D.

The Air Quality in Oslo in 2025 will be worse than previously expected. If the present trend of a high percentage of sold diesel passenger cars will continue it will make the NO2 levels from light vehicles higher in 2025 compared with 2010.This is due to higher emissions of diesel cars in real driving cycles compared to the emissions standards. The calculation of NO2 concentrations in 2025 shows levels that will violate the directives¿ limit values in a large area of Oslo.

Calculations are done for 2010 and 2025 and results from totally 9 dispersion calculations are shown. Firstly 4 reference calculations are considered looking at the effect of the difference of real emissions factors taken from measurement under typically urban driving-cycle compared with the emission standards. There have also been done 3 mitigation calculations with incentives for lower diesel cars sales numbers and two short-time measures limiting the use of cars.
None of these measures are sufficient for keeping the limit values in Oslo and Bærum in 2025 and hence more measures are needed.

2011

2011

NO2 sequential air sampler. NILU SS2000. NILU TR

Uggerud, H.T.; Aas, W.; Willoch, H.

2003

Nocturnal odd-oxygen budget and its implications for ozone loss in the lower troposphere.

Brown, S.S.; Neuman, J.A.; Ryerson, T.B.; Trainer, M.; Dubé, W.P.; Holloway, J.S.; Warneke, C.; de Gouw, J.A.; Donnelly, S.G.; Atlas, E.; Matthew, B.; Middlebrook, A.M.; Peltier, R.; Weber, R.J.; Stohl, A.; Meagher, J.F.; Fehsenfeld, F.C.; Ravishankara, A.R.

2006

Noice assessment activities. ETC/ACM Technical Paper, 2015/6

Sousa Santos, G.; Blanes, N.; de Smet, P.; Guerreiro, C.; Nugent, C.

2016

Noise in Europe 2017: updated assessment. ETC/ACM Technical Paper, 2016/13

Blanes, N.; Fons, J.; Houthuijs, D.; Swart, W.; de la Maza, M. S.; Ramos, M. J.; Castell, N.; van Kampen, E.

2016

Non-coincident inter-instrument comparisons of ozone measurements using quasi-conservative coordinates.

Lait, L.R.; Newman, P.A.; Schoeberl, M.R.; McGee, T.; Twigg, L.; Browell, E.V.; Fenn, M.A, Grant, W.B.; Butler, C.F.; Bevilacqua, R.; Davies, J.; DeBacker, H.; Andersen, S.B.; Kyrö, E.; Kivi, R.; von der Gathen, P.; Claude, H.; Benesova, A.; Skrivankova, P.; Dorokhov, V.; Zaitcev, I.; Braathen, G.; Gil, M.; Litynska, Z.; Moore, D.; Gerding, M.

2004

Non-destructive and minimally invasive test methods for the evaluation and assessment of movable organic-based heritage materials. NILU OR

Odlyha, M.; Bozec, L.; Hacjney, S.; Colombini, M.P.; Bonaduce, I.; Di Girolamo, F.; Larsen, R.; Axelsson, K.M.; Sommer, D.V.P.; Scharf, M.; Grøntoft, T.; Dahlin, E.; Chelazzi, D.; Baglioni, P.

2012

Non-target and suspect characterisation of organic contaminants in ambient air, Part I: Combining a novel sample clean-up method with comprehensive two-dimensional gas chromatography

Long-term monitoring of regulated organic chemicals, such as legacy persistent organic pollutants (POPs) and polycyclic aromatic hydrocarbons (PAHs), in ambient air provides valuable information about the compounds' environmental fate as well as temporal and spatial trends. This is the foundation to evaluate the effectiveness of national and international regulations for priority pollutants. Extracts of high-volume air samples, collected on glass fibre filters (GFF for particle phase) and polyurethane foam plugs (PUF for gaseous phase), for targeted analyses of legacy POPs are commonly cleaned by treatment with concentrated sulfuric acid, resulting in extracts clean from most interfering compounds and matrices that are suitable for multi-quantitative trace analysis. Such standardised methods, however, severely restrict the number of analytes for quantification and are not applicable when targeting new and emerging compounds as some may be less stable under acid treatment. Recently developed suspect and non-target screening analytical strategies (SUS and NTS, respectively) are shown to be effective evaluation tools aimed at identifying a high number of compounds of emerging concern. These strategies, combining highly sophisticated analytical technology with extensive data interpretation and statistics, are already widely accepted in environmental sciences for investigations of various environmental matrices, but their application to air samples is still very limited. In order to apply SUS and NTS for the identification of organic contaminants in air samples, an adapted and more wide-scope sample clean-up method is needed compared to the traditional method, which uses concentrated sulfuric acid. Analysis of raw air sample extracts without clean-up would generate extensive contamination of the analytical system, especially with PUF matrix-based compounds, and thus highly interfered mass spectra and detection limits which are unacceptable high for trace analysis in air samples.

In this study, a novel wide-scope sample clean-up method for high-volume air samples has been developed and applied to real high-volume air samples, which facilitates simultaneous target, suspect and non-target analyses. The scope and efficiency of the method were quantitatively evaluated with organic compounds covering a wide range of polarities (logP 2–11), including legacy POPs, brominated flame retardants (BFRs), chlorinated pesticides and currently used pesticides (CUPs). In addition, data reduction and selection strategies for SUS and NTS were developed for comprehensive two-dimensional gas chromatography separation with low-resolution time-of-flight mass spectrometric detection (GC × GC-LRMS) data and applied to real high-volume air samples. Combination of the newly developed clean-up procedure and data treatment strategy enabled the prioritisation of over 600 compounds of interest in the particle phase (on GFF) and over 850 compounds in the gas phase (on PUF) out of over 25 000 chemical features detected in the raw dataset. Of these, 50 individual compounds were identified and confirmed with reference standards, 80 compounds were identified with a probable structure, and 774 compounds were assigned to various compound classes. In the dataset available here, 11 hitherto unknown halogenated compounds were detected. These unknown compounds were not yet listed in the available mass spectral libraries.

2021

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