Hochschule für Technik und Umwelt FHNW

Dauerhafte URI für den Bereichhttps://irf.fhnw.ch/handle/11654/35

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    Publikation
    01A - Beitrag in wissenschaftlicher Zeitschrift
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    Long‐term trend analysis of aerosol variables at the high‐alpine site Jungfraujoch
    (Wiley, 13.07.2007) Collaud Coen, Martine; Weingartner, Ernest; Nyeki, Stephan; Cozic, Julie; Henning, Silvia; Verheggen, Bart; Gehrig, Robert; Baltensperger, Urs
    This study reports the first long-term trend analysis of aerosol optical measurements at the high-alpine site Jungfraujoch, which started 10.5 years ago. Since the aerosol variables are approximately lognormally distributed, the seasonal Kendall test and Sen's slope estimator were applied as nonparametric methods to detect the long-term trends for each month. The yearly trend was estimated by a least-mean-square fit, and the number of years necessary to detect this trend was calculated. The most significant trend is the increase (4–7% yr−1) in light-scattering coefficients during the September to December period. The light absorption and backscattering coefficients and the aerosol number concentration also show a positive trend during this time of the year. The hemispheric backscattering fraction and the scattering exponent calculated with the smaller wavelengths (450 and 550 nm), which relate to the small aerosol size fraction, decrease except during the summer, whereas the scattering exponent calculated with the larger wavelengths (550 and 700 nm) remains constant. Generally, the summer months at the Jungfraujoch, which are strongly influenced by planetary boundary layer air masses, do not show any long-term trend. The trends determined by least-mean-square fits of the scattering and backscattering coefficients, the hemispheric backscattering fractions, and the scattering exponent are significant, and the number of years necessary to detect them is shorter than 10 years. For these variables, the trends and the slopes estimated by the seasonal Kendall test are therefore confirmed by the least-mean-square fit results.
    01A - Beitrag in wissenschaftlicher Zeitschrift
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    Using aerosol light absorption measurements for the quantitative determination of wood burning and traffic emission contributions to particulate matter
    (American Chemical Society, 02.04.2008) Sandradewi, Jisca; Prévôt, André S. H.; Szidat, Sönke; Perron, Nolwenn; Alfarra, M. Rami; Lanz, Valentin A.; Weingartner, Ernest; Baltensperger, Urs
    A source apportionment study was performed for particulate matter in the small village of Roveredo, Switzerland, where more than 70% of the households use wood burning for heating purposes. A two-lane trans-Alpine highway passes through the village and contributes to the total aerosol burden in the area. The village is located in a steep Alpine valley characterized by strong and persistent temperature inversions during winter, especially from December to February. During two winter and one early spring campaigns, a seven-wavelength aethalometer, high volume (HIVOL) samplers, an Aerodyne quadrupole aerosol mass spectrometer (AMS), an optical particle counter (OPC), and a Sunset Laboratory OCEC analyzer were deployed to study the contribution of wood burning and traffic aerosols to particulate matter. A linear regression model of the carbonaceous particulate mass in the submicrometer size range CM(PM1) as a function of aerosol light absorption properties measured by the aethalometer is introduced to estimate the particulate mass from wood burning and traffic (PMwb, PMtraffic). This model was calibrated with analyses from the 14C method using HIVOL filter measurements. These results indicate that light absorption exponents of 1.1 for traffic and 1.8–1.9 for wood burning calculated from the light absorption at 470 and 950 nanometers should be used to obtain agreement of the two methods regarding the relative wood burning and traffic emission contributions to CM(PM1) and also to black carbon. The resulting PMwb and PMtraffic values explain 86% of the variance of the CM(PM1) and contribute, on average, 88 and 12% to CM(PM1), respectively. The black carbon is estimated to be 51% due to wood burning and 49% due to traffic emissions. The average organic carbon/total carbon (OC/TC) values were estimated to be 0.52 for traffic and 0.88 for wood burning particulate emissions.
    01A - Beitrag in wissenschaftlicher Zeitschrift