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Fant 10002 publikasjoner. Viser side 262 av 401:

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Optical and Microphysical Properties of the Aerosols during a Rare Event of Biomass-Burning Mixed with Polluted Dust

Gidarakou, Marilena; Papayannis, Alexandros; Kokkalis, Panagiotis; Evangeliou, Nikolaos; Vratolis, Stergios; Remoundaki, Emmanouella; Zwaaftink, Christine Groot; Eckhardt, Sabine; Veselovskii, Igor; Mylonaki, Maria; Argyrouli, Athina; Eleftheriadis, Konstantinos; Solomos, Stavros; Gini, Maria

A rare event of mixed biomass-burning and polluted dust aerosols was observed over Athens, Greece (37.9° N, 23.6° E), during 21–26 May 2014. This event was studied using a synergy of a 6-wavelength elastic-Raman-depolarization lidar measurements, a CIMEL sun photometer, and in situ instrumentation. The FLEXPART dispersion model was used to identify the aerosol sources and quantify the contribution of dust and black carbon particles to the mass concentration. The identified air masses were found to originate from Kazakhstan and Saharan deserts, under a rare atmospheric pressure system. The lidar ratio (LR) values retrieved from the Raman lidar ranged within 25–89 sr (355 nm) and 35–70 sr (532 nm). The particle linear depolarization ratio (δaer) ranged from 7 to 28% (532 nm), indicating mixing of dust with biomass-burning particles. The aerosol optical depth (AOD) values derived from the lidar ranged from 0.09–0.43 (355 nm) to 0.07–0.25 (532 nm). An inversion algorithm was used to derive the mean aerosol microphysical properties (mean effective radius (reff), single scattering albedo (SSA), and mean complex refractive index (m)) inside selected atmospheric layers. We found that reff was 0.12–0.51 (±0.04) µm, SSA was 0.94–0.98 (±0.19) (at 532 nm), while m ranged between 1.39 (±0.05) + 0.002 (±0.001)i and 1.63 (±0.05) + 0.008 (±0.004)i. The polarization lidar photometer networking (POLIPHON) algorithm was used to estimate the vertical profile of the mass concentration for the dust and non-dust components. A mean mass concentration of 15 ± 5 μg m−3 and 80 ± 29 μg m−3 for smoke and dust was estimated for selected days, respectively. Finally, the retrieved aerosol microphysical properties were compared with column-integrated sun photometer CIMEL data with good agreement

2024

Optical characterization of UV multispectral imaging cameras for SO2 plume measurements. NILU PP

Stebel, K.; Prata, F.; Dauge, F.; Durant, A.; Amigo, A.

2012

Optical properties and climate impacts of tropospheric aerosols that undergo long-range transport to the Arctic.

Quinn, P.; Bates, T.; Coffman, D.; Covert, D.; Schulz, K.; Shank, L.; Murthy, P.; Jefferson, A.; Ogren, J.; Burkhart, J.

2008

Optical properties and vertical extension of aged ash layers over the Eastern Mediterranean as observed by Raman lidars during the Eyjafjallajökull eruption in May 2010.

Papayannis, A.; Mamouri, R.E.; Amiridis, V.; Giannakaki, E.; Veselovskii, I.; Kokkalis, P.; Tsaknakis, G.; Balis, D.; Kristiansen, N.I.; , Stohl, A.; Korenskiy, M.; Allakhverdiev, K.; Huseyinoglu, M.F.; Baykara, T.

2012

Optical Properties of Coastal Aerosol in Aarhus Bay, Denmark

Teng, Zihui; Skønager, Jane Tygesen; Massling, Andreas; Skov, Henrik; Evangeliou, Nikolaos; Eckhardt, Sabine; Bilde, Merete; Rosati, Bernadette

2024

Optical properties of tropospheric aerosols derived from lidar and sun photometer measurements at ALOMAR (69N) in 2005 and 2006.

Rodríguez, E.; Frioud, M.; Gausa, M.; Stebel, K.; Mogo, S.; Prats, N.; Torres, B.; Toledano, C.; Bastidas, A.; Berjón, A.; Cachorro, V.; de Frutos, A.M.

2008

Optimal estimation of sulfuryl fluoride emissions on regional and global scales using advanced 3D inverse modeling and AGAGE observations.

Gressent, A.; Muhle, J.; Rigby, M. L.; Lunt, M. F.; Ganesan, A.; Prinn, R. G.; Krummel, P. B.; Fraser, P. J.; Steele, P.; Weiss, R. F.; Harth, C. M.; O'Doherty, S.; Young, D.; Park, S.; Li, S.; Yao, B.; Reimann, R.; Vollmer, M. K.; Maione, M.; Arduini, I.; Lunder, C. R.

2016

Optimal estimation of the surface fluxes of methyl chloride using a 3-D global chemical transport model.

Xiao, X.; Prinn, R.G.; Fraser, P.J.; Simmonds, P.G.; Weiss, R.F.; O'Doherty, S.; Miller, B.R.; Salameh, P.K.; Harth, C.M.; Krummel, P.B.; Porter, L.W.; Mühle, J.; Greally, B.R.; Cunnold, D.; Wang, R.; Montzka, S.A.; Elkins, J.W.; Dutton, G.S.; Thompson, T.M.; Butler, J.H.; Hall, B. D.; Reimann, S.; Vollmer, M.K.; Stordal, F.; Lunder, C.; Maione, M.; Arduini, J.; Yokouchi, Y.

2010

Optimisation of analytical metod for perfluorinated compounds in fresh and canned fish.

Hradkova, P.; Poustka J.; Pulkrabova, J.; Hlouskova, V.; Tomaniova, M.; Herzke, D.; Huber, S.; Kallenborn, R.; Hajslova, J.

2009

Optimised Aerosol Fraction Separation in Arctic Aerosol for Radiocarbon Measurement

Rauber, Martin; Salazar, G.; Yttri, Karl Espen; Szidat, S.

2021

Optimization of a low flow sampler for improved assessment of gas and particle bound exposure to chlorinated paraffins

Saify, Insam Al; Cioni, Lara; Mourik, Louise M. van; Brandsma, Sicco H.; Warner, Nicholas Alexander

An optimized low volume sampler was developed to determine both gas- and particle bound concentrations of short and medium-chain chlorinated paraffins (S/MCCPs). Background contamination was limited by the sampler design, providing method quantification limits (MQLs) at least two orders of magnitude lower than other studies within the gas (MQL: 500 pg (ΣSCCPs), 1.86 ng (ΣMCCPs)) and particle (MQL: 500 pg (ΣSCCPs), 1.72 ng (ΣMCCPs) phases. Good repeatability was observed between parallel indoor measurements (RSD ≤ 9.3% (gas), RSD ≤ 14% (particle)) with no breakthrough/saturation observed after a week of continuous sampling. For indoor air sampling, SCCPs were dominant within the gas phase (17 ± 4.9 ng/m3) compared to MCCPs (2.7 ± 0.8 ng/m3) while the opposite was observed in the particle bound fraction (0.28 ± 0.11 ng/m3 (ΣSCCPs) vs. 2.7 ± 1.0 ng/m3 (ΣMCCPs)). Only SCCPs in the gas phase could be detected reliably during outdoor sampling and were considerably lower compared to indoor concentrations (0.27 ± 0.10 ng/m3). Separation of the gas and particle bound phase was found to be crucial in applying the appropriate response factors for quantification based on the deconvoluted S/MCCP sample profile, thus avoiding over- (gas phase) or underestimation (particle phase) of reported concentrations. Very short chain chlorinated paraffins (vSCCPs, C5-C9) were also detected at equal or higher abundance compared to SCCP congener groups (C10-C13) congener groups, indicating an additional human indoor inhalation risk.

2021

Organic contaminants in the indoor environment of ESB laboratories - Risk for ESB samples?

Bohlin-Nizzetto, Pernilla; Schlabach, Martin; Halse, Anne Karine; Pütz, Kerstin; Danielsson, Sara

2019

Organic contaminants of emerging concern (CEC) as indicators for thorough source elucidation and risk evaluation in modern Arctic environmental assessments.

Kallenborn, R.; Strømberg, J. S.; Brorstrøm-Lundén, E.; Reiersen, L.-O.; Carlsson, P.; Krogseth, I.S.; Warner, N. A.; Vasskog, T.

2017

Organic micropollutants in the riverine sedimentsalong the lower stretch of the River Ganga: Occurrences, sources and risk assessment

Chakraborty, Paromita; Mukhopadhyay, Moitraiyee; Sampath, Srimurali; Ramaswamy, BabuRajendran; Katsoyiannis, Athanasios A.; Cincinelli, Alessandra; Snow, Daniel

2018

Organic pollutants in compost and digestate: occurrence, fate and impacts. NILU F

Kupper, T.; Brändli, R.C.; Bucheli, T.D.; Stämpfli, C.; Zennegg, M.; Berger, U.; Edder, P.; Pohl, M.; Niang, F.; Iozza, S.; Müller, J.; Schaffner, C.; Schmid, P.; Huber, S.; Ortelli, D.; Becker-van Slooten, K.; Mayer, J.; Bachmann, H.-J.; Stadelmann, F.X.; Tarradellas, J.

2008

Organic pollutants in compost and digestate: occurrence, fate and impacts.

Kupper, T.; Brändli, R.C.; Bucheli, T.D.; Stämpfli, C.; Zennegg, M.; Berger, U.; Edder, P.; Pohl, M.; Niang, F.; Iozza, S.; Müller, J.; Schaffner, C.; Schmid, P.; Huber, S.; Ortelli, D.; Becker-van Slooten, K.; Mayer, J.; Bachmann, H.-J.; Stadelmann, F.X.; Tarradellas, J.

2008

Organic pollutants in compost and digestate: occurrence, fate and impacts.

Kupper, T.; Brändli, R.C.; Bucheli, T.D.; Staempfli, C.; Zennegg, M.; Berger, U.; Edder, P.; Pohl, M.; Niang, F.; Iozza, S.; Mueller, J., Schaffner, C.; Schmid, P.; Huber, S.; Ortelli, D.; Becker van Slooten, K., Oehme, M.; Mayer, J.; Bachmann, H.J.; Stadelmann, F.X.; Tarradellas, J.

2006

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