2017
DOI: 10.1016/j.atmosenv.2017.02.032
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Modelling and mapping heavy metal and nitrogen concentrations in moss in 2010 throughout Europe by applying Random Forests models

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Cited by 23 publications
(15 citation statements)
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References 51 publications
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“…The annual cycle is strong in the south and weak in the north of Europe and the annual cycle is relatively poorly reproduced for Scandinavian and Baltic stations. Very low night time concentrations for some stations are not captured Tree species-dependent emission factors for isoprene Beltman et al, 2013) Soil NO x emissions Soil-temperature dependent (Novak and Pierce, 1993) Fire emission MACC/CAMS GFAS product (Kaiser et al,…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The annual cycle is strong in the south and weak in the north of Europe and the annual cycle is relatively poorly reproduced for Scandinavian and Baltic stations. Very low night time concentrations for some stations are not captured Tree species-dependent emission factors for isoprene Beltman et al, 2013) Soil NO x emissions Soil-temperature dependent (Novak and Pierce, 1993) Fire emission MACC/CAMS GFAS product (Kaiser et al,…”
Section: Resultsmentioning
confidence: 99%
“…Hourly emissions from forest fires are taken from the MACC global fire assimilation system (Kaiser et al, 2012). Emissions of NO from soils are included using the parameterization depending on soil type and soil temperature from Novak and Pierce (1993). For the emissions of isoprene and terpene the MEGAN routine is available (Guenther et al, 2006), but for Europe a slightly different approach is taken using a tree species database, as described in Beltman et al (2013).…”
Section: Emissionsmentioning
confidence: 99%
“…Specifically, this is true for analysis of metals including Mn. 158 The main disadvantages of deposition and/or filter sampling with 149 1.5 0.118 1 year Low-volume sampler; ICP-MS France 150 2.0 0.147 2 years High-volume sampler; ICP-AES, ICP-MS, ICP-MS-DRC Spain 144 5.0 0.166 0.077 15 months High-volume sampler; ICP-AES, ICP-MS, SEM USA 151 8.0 0.011 3 months Impactor; ICP-MS Spain 144 20 0.029 15 months High-volume sampler; ICP-AES, ICP-MS, SEM Spain 149 20 0.018 1 year Low-volume sampler; ICP-MS Spain 149 25 0.022 1 year Low-volume sampler; ICP-MS postlaboratory analysis is cost and the fact that the PM is collected over relatively extended periods of time, which convolutes sources and the time variations needed for source identification. Current trends in air quality studies include the use of low-cost online instruments for PM, e.g., micro sensing units (MSUs) with real-time instruments for chemical analysis, real-time analysis software, and concurrent use of weather stations.…”
Section: Air Quality Measurementsmentioning
confidence: 99%
“…According to their morphology and physiology, they reflect changes in environmental conditions quickly. Therefore, they are generally accepted as good indicators for environmental monitoring (for example, Zechmeister et al 2003;Tuba et al 2011;Ares et al 2012;Nickel et al 2017).…”
Section: Introductionmentioning
confidence: 99%