Spatial and temporal variability of PM10 sources in Augsburg, Germany

Gu, Jian‐Wei; Schnelle-Kreis, Jürgen; Pitz, Mike; Diemer, J.; Reller, Armin; Zimmermann, Ralf; Soentgen, Jens; Peters, Annette; Cyrys, Josef

doi:10.1016/j.atmosenv.2013.01.043

Cited by 27 publications

(14 citation statements)

References 36 publications

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“…A near-zero COD shows similar characteristics between two sampling stations, while a COD near the unity indicates significant difference (Cyrys et al, 2008;Gu et al, 2013;Hwang et al, 2008;Kim et al, 2005).…”

Section: Temporal and Spatial Variability Analysismentioning

confidence: 88%

“…Moreover, changes during 2006e2011 were compared with 2000e2005 and the possible reasons for changes were discussed. The spatial variation was characterized by means of coefficients of divergence (COD), which has been commonly used in recent studies to examine the degree of discrepancy between data sets from two monitoring stations (Cyrys et al, 2008;Gu et al, 2013;Hwang et al, 2008;Kim et al, 2005). The COD is calculated as:…”

Section: Temporal and Spatial Variability Analysismentioning

confidence: 99%

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Characterization and source apportionment of health risks from ambient PM 10 in Hong Kong over 2000–2011

Yuan

Liu

et al. 2015

Atmospheric Environment

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Section: Temporal and Spatial Variability Analysismentioning

confidence: 88%

Section: Temporal and Spatial Variability Analysismentioning

confidence: 99%

Characterization and source apportionment of health risks from ambient PM 10 in Hong Kong over 2000–2011

Yuan

Liu

et al. 2015

Atmospheric Environment

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“…The transition metals Cu and Fe reflect non-tailpipe emissions of traffic, Ni and V are tracers for oil combustion, and Zn is a putative marker for brake and tire wear but can also be emitted from industrial sources. The metalloid Si is an indicator for road dust and soil (Cyrys et al, 2003;Gu et al, 2013).…”

Section: Exposure Datamentioning

confidence: 99%

Long-term effects of elemental composition of particulate matter on inflammatory blood markers in European cohorts

Hampel

Peters

Beelen

et al. 2015

Environment International

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“…The European incentives to use biomass fuels, under the assumption of biomass carbon neutrality, have caused a further increase in wood burning for heating purposes in several European cities (Bari et al, 2011;Gu et al, 2013;Waked et al, 2014;Hovorka et al, 2015). Along with this trend, the financial crisis in Europe during the past 9 years has brought about a significant increase in the market price of conventional fuels, primarily due to very high taxation.…”

Section: Introductionmentioning

confidence: 99%

Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation

et al. 2017

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Abstract. For the past 8 years, Greece has been experiencing a major financial crisis which, among other side effects, has led to a shift in the fuel used for residential heating from fossil fuel towards biofuels, primarily wood. This study simulates the fate of the residential wood burning aerosol plume (RWB smog) and the implications on atmospheric chemistry and radiation, with the support of detailed aerosol characterization from measurements during the winter of 2013-2014 in Athens. The applied model system (TNO-MACC_II emissions and COSMO-ART model) and configuration used reproduces the measured frequent nighttime aerosol spikes (hourly PM 10 > 75 µg m −3 ) and their chemical profile (carbonaceous components and ratios). Updated temporal and chemical RWB emission profiles, derived from measurements, were used, while the level of the model performance was tested for different heating demand (HD) conditions, resulting in better agreement with measurements for T min < 9 • C. Half of the aerosol mass over the Athens basin is organic in the submicron range, of which 80 % corresponds to RWB (average values during the smog period). Although organic particles are important light scatterers, the direct radiative cooling of the aerosol plume during wintertime is found low (monthly average forcing of -0.4 W m −2 at the surface), followed by a minor feedback to the concentration levels of aerosol species. The low radiative cooling of a period with such intense air pollution conditions is attributed to the timing of the smog plume appearance, both directly (longwave radiation increases during nighttime) and indirectly (the mild effect of the residual plume on solar radiation during the next day, due to removal and dispersion processes).

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Spatial and temporal variability of PM10 sources in Augsburg, Germany

Cited by 27 publications

References 36 publications

Characterization and source apportionment of health risks from ambient PM 10 in Hong Kong over 2000–2011

Characterization and source apportionment of health risks from ambient PM 10 in Hong Kong over 2000–2011

Long-term effects of elemental composition of particulate matter on inflammatory blood markers in European cohorts

Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation

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