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1.
Magnetic anisotropy of strontium ferrite nanoparticles
F. Albertini, C. Sangregorio, Blaž Belec, A. Quesada, T. Schliesch, M. Suara-Muzquiz, Petra Jenuš, M. Albino, M. Petrecca, M. Cabassi, D. Mishra, Cesar De Julian Fernandez, 2019, objavljeni povzetek znanstvenega prispevka na konferenci

Najdeno v: osebi
Ključne besede: hexaferrite, nanoparticles, magnetic anisotropy, SPD
Objavljeno: 04.06.2019; Ogledov: 1198; Prenosov: 0
.pdf Polno besedilo (36,89 MB)

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Chemical characterization of PM2.5 and source apportionment of organic aerosol in New Delhi, India
Urs Baltensperger, Griša Močnik, Surender Singh, Suresh Tiwari, Deewan Bisht, Atul Srivastava, Suneeti Mishra, Navaneeth Thamban, Ashutosh Shukla, Vipul Lalchandani, Francesco Canonaco, Deepika Bhattu, Anna Tobler, Sachchida Tripathi, J. G. Slowik, Andre S. H. Prevot, 2020, izvirni znanstveni članek

Opis: Delhi is one of the most polluted cities worldwide and a comprehensive understanding and deeper insight into the air pollution and its sources is of high importance. We report 5 months of highly time-resolved measurements of non-refractory PM2.5 and black carbon (BC). Additionally, source apportionment based on positive matrix factorization (PMF) of the organic aerosol (OA) fraction is presented. The highest pollution levels are observed during winter in December/January. During that time, also uniquely high chloride concentrations are measured, which are sometimes even the most dominant NR-species in the morning hours. With increasing temperature, the total PM2.5 concentration decreases steadily, whereas the chloride concentrations decrease sharply. The concentrations measured in May are roughly 6 times lower than in December/January. PMF analysis resolves two primary factors, namely hydrocarbon-like (traffic-related) OA (HOA) and solid fuel combustion OA (SFC-OA), and one or two secondary factors depending on the season. The uncertainties of the PMF analysis are assessed by combining the random a-value approach and the bootstrap resampling technique of the PMF input. The uncertainties for the resolved factors range from ±18% to ±19% for HOA, ±7% to ±19% for SFC-OA and ±6 % to ±11% for the OOAs. The average correlation of HOA with eBCtr is R2 = 0.40, while SFC-OA has a correlation of R2 = 0.78 with eBCsf. Anthracene (m/z 178) and pyrene (m/z 202) (PAHs) are mostly explained by SFC-OA and follow its diurnal trend (R2 = 0.98 and R2 = 0.97). The secondary oxygenated aerosols are dominant during daytime. The average contribution during the afternoon hours (1 pm–5 pm) is 59% to the total OA mass, with contributions up to 96% in May. In contrast, the primary sources are more important during nighttime: the mean nightly contribution (22 pm–3 am) to the total OA mass is 48%, with contributions up to 88% during some episodes in April.
Najdeno v: osebi
Ključne besede: New Delhi, PM2.5, Source apportionment, PMF
Objavljeno: 20.07.2020; Ogledov: 444; Prenosov: 0
.pdf Polno besedilo (4,71 MB)

4.
Real-time characterization and source apportionment of fine particulate matter in the Delhi megacity area during late winter
Vipul Lalchandan, Varun Kumar, Anna Tobler, M.T. Navaneeth, Suneeti Mishra, J. G. Slowik, Deepika Bhattu, Pragati Rai, Rangu Satish, Dilip Ganguly, Tiwari Tiwari, Neeraj Rastogi, Tiwari Sashi, Griša Močnik, Andre S. H. Prevot, Sachchida Tripathi, 2021, izvirni znanstveni članek

Opis: National Capital Region (NCR) encompassing New Delhi is one of the most polluted urban metropolitan areas in the world. Real-time chemical characterization of fine particulate matter (PM1 and PM2.5) was carried out using three aerosol mass spectrometers, two aethalometers, and one single particle soot photometer (SP2) at two sites in Delhi (urban) and one site located ~40 km downwind of Delhi, during January-March, 2018. The campaign mean PM2.5 (NR-PM2.5 + BC) concentrations at the two urban sites were 153.8±109.4 μg.m-3 and 127.8±83.2 μg.m-3, respectively, whereas PM1 (NR-PM1 + BC) was 72.3 ± 44.0 μg.m-3 at the downwind site. PM2.5 particles were composed mostly of organics (43-44)% followed by chloride (14-17)%, ammonium (9-11)%, nitrate (9%), sulfate (8-10)%, and black carbon (11-16)%, whereas PM1 particles were composed of 47% organics, 13% sulfate as well as ammonium, 11% nitrate as well as chloride, and 5% black carbon. Organic aerosol (OA) source apportionment was done using positive matrix factorization (PMF), solved using an advanced multi-linear engine (ME-2) model. Highly mass-resolved OA mass spectra at one urban and downwind site were factorized into three primary organic aerosol (POA) factors including one traffic-related and two solid-fuel combustion (SFC), and three oxidized OA (OOA) factors. Whereas unit mass resolution OA at the other urban site was factorized into two POA factors related to traffic and SFC, and one OOA factor. OOA constituted a majority of the total OA mass (45-55)% with maximum contribution during afternoon hours ~(70-80)%. Significant differences in the absolute OOA concentration between the two urban sites indicated the influence of local emissions on the oxidized OA formation. Similar PM chemical composition, diurnal and temporal variations at the three sites suggest similar type of sources affecting the particulate pollution in Delhi and adjoining cities, but variability in mass concentration suggest more local influence than regional.
Najdeno v: osebi
Ključne besede: source apportionment, air pollution, particulate matter, Delhi
Objavljeno: 25.01.2021; Ogledov: 204; Prenosov: 0
.pdf Polno besedilo (2,92 MB)

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