Ambient air. Determination of the particle number concentration of atmospheric aerosol

2016 ◽  
Keyword(s):  
Atmospheric Aerosol ◽  
Particle Number ◽  
Ambient Air ◽  
Number Concentration ◽  
Particle Number Concentration

scholarly journals The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation

2016 ◽  
Vol 16 (7) ◽  
pp. 4481-4495 ◽  
Author(s):  
Mattia Righi ◽  
Johannes Hendricks ◽  
Robert Sausen
Keyword(s):  
Atmospheric Chemistry ◽  
Atmospheric Aerosol ◽  
Radiative Forcing ◽  
Particle Number ◽  
Number Concentration ◽  
Radiation Budget ◽  
Transport Sector ◽  
Particle Number Concentration ◽  
Year 2000 ◽  
The Impact

Abstract. We use the EMAC (ECHAM/MESSy Atmospheric Chemistry) global climate–chemistry model coupled to the aerosol module MADE (Modal Aerosol Dynamics model for Europe, adapted for global applications) to simulate the impact of aviation emissions on global atmospheric aerosol and climate in 2030. Emissions of short-lived gas and aerosol species follow the four Representative Concentration Pathways (RCPs) designed in support of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. We compare our findings with the results of a previous study with the same model configuration focusing on year 2000 emissions. We also characterize the aviation results in the context of the other transport sectors presented in a companion paper. In spite of a relevant increase in aviation traffic volume and resulting emissions of aerosol (black carbon) and aerosol precursor species (nitrogen oxides and sulfur dioxide), the aviation effect on particle mass concentration in 2030 remains quite negligible (on the order of a few ng m−3), about 1 order of magnitude less than the increase in concentration due to other emission sources. Due to the relatively small size of the aviation-induced aerosol, however, the increase in particle number concentration is significant in all scenarios (about 1000 cm−3), mostly affecting the northern mid-latitudes at typical flight altitudes (7–12 km). This largely contributes to the overall change in particle number concentration between 2000 and 2030, which also results in significant climate effects due to aerosol–cloud interactions. Aviation is the only transport sector for which a larger impact on the Earth's radiation budget is simulated in the future: the aviation-induced radiative forcing in 2030 is more than doubled with respect to the year 2000 value of −15 mW m−2 in all scenarios, with a maximum value of −63 mW m−2 simulated for RCP2.6.

scholarly journals Measurements of atmospheric aerosol vertical distributions above Svalbard, Norway using unmanned aerial systems (UAS)

2013 ◽  
Vol 6 (2) ◽  
pp. 2483-2499
Author(s):  
T. S. Bates ◽  
P. K. Quinn ◽  
J. E. Johnson ◽  
A. Corless ◽  
F. J. Brechtel ◽  
...  
Keyword(s):  
Light Absorption ◽  
Atmospheric Aerosol ◽  
Particle Number ◽  
Particle Dispersion ◽  
Number Concentration ◽  
Climate Impacts ◽  
The Arctic ◽  
Unmanned Aerial Systems ◽  
Particle Number Concentration ◽  
Vertical Distributions

Abstract. Atmospheric aerosol vertical distributions were measured above Svalbard, Norway in April 2011 during the Cooperative Investigation of Climate-Cryosphere Interactions campaign (CICCI). Measurements were made of the particle number concentration and the aerosol light absorption coefficient at three wavelengths. A filter sample was collected on each flight at the altitude of maximum particle number concentration. The filters were analyzed for major anions and cations. The aerosol payload was flown in a NOAA/PMEL MANTA Unmanned Aerial System (UAS). A total of 18 flights were flown during the campaign totaling 38 flight hours. The data show frequent aerosol layers aloft with high particle number concentration (1000 cm−3 and enhanced aerosol light absorption (1 Mm−1). Air mass histories of these aerosol layers were assessed using FLEXPART particle dispersion modeling. The data contribute to an assessment of sources of BC to the Arctic and potential climate impacts.

scholarly journals Comparison of sp-ICP-MS and MDG-ICP-MS for the determination of particle number concentration

2015 ◽  
Vol 407 (14) ◽  
pp. 4035-4044 ◽  
Author(s):  
Sabrina Gschwind ◽  
Maria de Lourdes Aja Montes ◽  
Detlef Günther
Keyword(s):  
Particle Number ◽  
Number Concentration ◽  
Particle Number Concentration ◽  
Icp Ms

scholarly journals The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation

2015 ◽  
Vol 15 (23) ◽  
pp. 34035-34062
Author(s):  
M. Righi ◽  
J. Hendricks ◽  
R. Sausen
Keyword(s):  
Atmospheric Chemistry ◽  
Atmospheric Aerosol ◽  
Particle Number ◽  
Number Concentration ◽  
Radiation Budget ◽  
Transport Sector ◽  
Particle Number Concentration ◽  
Intergovernmental Panel ◽  
Year 2000 ◽  
The Impact

Abstract. We use the EMAC (ECHAM/MESSy Atmospheric Chemistry) global climate-chemistry model coupled to the aerosol module MADE (Modal Aerosol Dynamics model for Europe, adapted for global applications) to simulate the impact of aviation emissions on global atmospheric aerosol and climate in 2030. Emissions of short-lived gas and aerosol species follow the four Representative Concentration Pathways (RCPs) designed in support of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. We compare our findings with the results of a previous study with the same model configuration focusing on year 2000 emissions. We also characterize the aviation results in the context of the other transport sectors presented in a companion paper. In spite of a relevant increase in aviation traffic volume and resulting emissions of aerosol (black carbon) and aerosol precursor species (nitrogen oxides and sulfur dioxide), the aviation effect on particle mass concentration in 2030 remains quite negligible (on the order of a few ng m-3), about one order of magnitude less than the increase in concentration due to other emission sources. Due to the relatively small size of the aviation-induced aerosol, however, the increase in particle number concentration is significant in all scenarios (about 1000 cm-3), mostly affecting the northern mid-latitudes at typical flight altitudes (7–12 km). This largely contributes to the overall change in particle number concentration between 2000 and 2030, which results also in significant climate effects due to aerosol-cloud interactions. Aviation is the only transport sector for which a larger impact on the Earth's radiation budget is simulated in the future: The aviation-induced RF in 2030 is more than doubled with respect to the year 2000 value of −15 mW m-2, with a maximum value of −63 mW m-2 simulated for RCP2.6.

scholarly journals The accurate determination of number concentration of inorganic nanoparticles using spICP-MS with the dynamic mass flow approach

2020 ◽  
Vol 35 (9) ◽  
pp. 1832-1839 ◽  
Author(s):  
Susana Cuello-Nuñez ◽  
Isabel Abad-Álvaro ◽  
Dorota Bartczak ◽  
M. Estela del Castillo Busto ◽  
David Alexander Ramsay ◽  
...  
Keyword(s):  
Mass Flow ◽  
Particle Number ◽  
Accurate Determination ◽  
Number Concentration ◽  
Inorganic Nanoparticles ◽  
Particle Number Concentration ◽  
Dynamic Mass

Methodology for SI traceable determination of particle number concentration by reference NM-free spICP-MS.

scholarly journals Measurements of atmospheric aerosol vertical distributions above Svalbard, Norway, using unmanned aerial systems (UAS)

2013 ◽  
Vol 6 (8) ◽  
pp. 2115-2120 ◽  
Author(s):  
T. S. Bates ◽  
P. K. Quinn ◽  
J. E. Johnson ◽  
A. Corless ◽  
F. J. Brechtel ◽  
...  
Keyword(s):  
Light Absorption ◽  
Atmospheric Aerosol ◽  
Particle Number ◽  
Particle Dispersion ◽  
Number Concentration ◽  
Climate Impacts ◽  
The Arctic ◽  
Unmanned Aerial Systems ◽  
Particle Number Concentration ◽  
Vertical Distributions

Abstract. Atmospheric aerosol vertical distributions were measured above Svalbard, Norway, in April 2011 during the Cooperative Investigation of Climate-Cryosphere Interactions campaign (CICCI). Measurements were made of the particle number concentration and the aerosol light absorption coefficient at three wavelengths. A filter sample was collected on each flight at the altitude of maximum particle number concentration. The filters were analyzed for major anions and cations. The aerosol payload was flown in a NOAA/PMEL MANTA Unmanned Aerial System (UAS). A total of 18 flights were flown during the campaign totaling 38 flight hours. The data show frequent aerosol layers aloft with high particle number concentration (1000 cm−3) and enhanced aerosol light absorption (1 Mm−1). Air mass histories of these aerosol layers were assessed using FLEXPART particle dispersion modeling. The data contribute to an assessment of sources of BC to the Arctic and potential climate impacts.

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