Skip to content
  • Submit

  • Category

  • Sort by

  • Per page

Found 9746 publications. Showing page 44 of 390:

Publication  
Year  
Category

Arktis brenner! Hvordan kanadiske skogbranner påvirker oss alle.

Stebel, Kerstin; Eckhardt, Sabine; Evangeliou, Nikolaos; Schneider, Philipp

2023

Artificial cloud test confirms volcanic ash detection using infrared spectral imaging.

Prata, A.J.; Dezitter, F.; Davies, I.; Weber, K.; Birnfeld, M.; Moriano, D.; Bernardo, C.; Vogel, A.; Prata, G.S.; Mather, T.A.; Thomas, H.E.; Cammas, J.; Weber, M.

2016

Artificial intelligence models for calibration of low-cost electrochemical sensors in high-density air pollution monitoring networks.

Topalovic, D.B.; Ristovski, Z.; Bartonova, A.; Castell, N.; Davidovic, M.; Jovaševic-Stojanovic, M.

2016

Artificial intelligence models with multivariate inputs for calibration of low cost PM sensors.

Topalovic, D. B.; Davidovic, M.; Bartonova, A.; Jovaševic-Stojanovic, M.

2017

Artificial turf. Preliminary study on potential genotoxicity of nanoparticles generated from football pitches. NILU report

Rundén-Pran, E.; Dusinska, M.; El Yamani, N.; Dauge, F.; Knudsen, S.

2017

ASCAT/SMOS data assimilation. NILU F

Lahoz, W.A.

2012

Ash generation and distribution from the April-May 2010 eruption of Eyjafjallajökull, Iceland.

Gudmundsson, M.T.; Thordarson, T.; Höskuldsson, A.; Larsen, G.; Björnsson, H.; Prata, F.J.; Oddsson, B.; Magnússon, E.; Högnadóttir, T.; Petersen, G.N.; Hayward, C.L.; Stevenson, J.A.; Jónsdóttir, I.

2012

Ash metrics for European and trans‐atlantic air routes during the Eyjafjallajökull eruption 14 April to 23 May 2010

Prata, A. J.; Kristiansen, Nina Iren; Thomas, Helen E.; Stohl, Andreas

American Geophysical Union (AGU)

2018

Assesment of wind, snow and seasalt. Hammerfest 2009-2010. NILU OR

Tønnesen, D.

NILU has made an assesment of windconditions, amount of snow and seasalt impact in Hammerfest. The assesment has been made on behalf of Statnett connected to a projected construction of power supply network.

2011

Assessing air pollution from wood burning using low-cost sensors and citizen science

Castell, Nuria; Vogt, Matthias; Schneider, Philipp; Grossberndt, Sonja

2021

Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area

Pisso, Ignacio; Patra, Prabir; Takigawa, Masayuki; Machida, Toshinobu; Matsueda, Hidekazu; Sawa, Yousuke

BioMed Central (BMC)

2019

Assessing PM10 source reduction in urban agglomerations for air quality compliance.

Aleksandropoulou, V.; Eleftheriadis, K.; Diapouli, E.; Tørseth, K.; Lazaridis, M.

2012

Assessing regional CO2 emissions by global high-resolution inverse model constrained by surface and satellite observations

Nayagam, Lorna Raja; Maksyutov, Shamil; Oda, Tomohiro; Achari, Rajesh Janardanan; Yoshida, Yukio; Kaiser, Johannes; Matsunaga, Tsuneo

2024

Assessing temporal trends and source regions of per- and polyfluoroalkyl substances (PFASs) in air under the Arctic Monitoring and Assessment Programme (AMAP)

Wong, Fiona; Shoeib, Mahiba; Katsoyiannis, Athanasios; Eckhardt, Sabine; Stohl, Andreas; Bohlin-Nizzetto, Pernilla; Li, Henrik; Fellin, Phil; Su, Yushan; Hung, Hayley

Long-term Arctic air monitoring of per- and polyfluoroalkyl substances (PFASs) is essential in assessing their long-range transport and for evaluating the effectiveness of chemical control initiatives. We report for the first time temporal trends of neutral and ionic PFASs in air from three arctic stations: Alert (Canada, 2006–2014); Zeppelin (Svalbard, Norway, 2006–2014) and Andøya (Norway, 2010–2014). The most abundant PFASs were the perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorobutanoic acid (PFBA), and fluorotelomer alcohols (FTOHs). All of these chemicals exhibited increasing trends at Alert with doubling times (t2) of 3.7 years (y) for PFOA, 2.9 y for PFOS, 2.5 y for PFBA, 5.0 y for 8:2 FTOH and 7.0 y for 10:2 FTOH. In contrast, declining or non-changing trends, were observed for PFOA and PFOS at Zeppelin (PFOA, half-life, t1/2 = 7.2 y; PFOS t1/2 = 67 y), and Andøya (PFOA t1/2 = 1.9 y; PFOS t1/2 = 11 y). The differences in air concentrations and in time trends between the three sites may reflect the differences in regional regulations and source regions. We investigate the source region for particle associated compounds using the Lagrangian particle dispersion model FLEXPART. Model results showed that PFOA and PFOS are impacted by air masses originating from the ocean or land. For instance, PFOA at Alert and PFOS at Zeppelin were dominated by oceanic air masses whereas, PFOS at Alert and PFOA at Zeppelin were influenced by air masses transported from land.

Elsevier

2018

Publication
Year
Category