AS4 .8 | Transport and deposition of atmospheric pollutants
Transport and deposition of atmospheric pollutants
Convener: Alexander Moravek | Co-conveners: Silvia Bucci, Martijn Schaap, Sabine Eckhardt, Ignacio Pisso
Orals
| Thu, 27 Apr, 16:15–18:00 (CEST)
 
Room 0.51
Posters on site
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
Hall X5
Posters virtual
| Attendance Fri, 28 Apr, 10:45–12:30 (CEST)
 
vHall AS
Orals |
Thu, 16:15
Fri, 10:45
Fri, 10:45
A correct characterization of atmospheric transport and deposition is crucial for the understanding of environmental challenges such as air quality problems and climate change. The deposition of atmospheric pollutants represents a major threat for terrestrial ecosystem integrity and biodiversity. The impacts of the recent large wildfires, the distribution of microplastic particles and biological material such as pollen as well as the input of nutrients and acidifying compounds, such as reactive nitrogen, and of other pollutants to ecosystems are linked to both atmospheric transport and deposition.

Yet, considerable uncertainties in the correct representation of atmospheric transport and deposition processes exist. These uncertainties also affect nature protection policies as well as emission regulation and mitigation strategies.

This session spans from the transport of atmospheric pollutants from local to global scales to their deposition on terrestrial ecosystems, including:
• Studies combining observations and models to infer information about emissions, transport and deposition characteristics.
• In particular, studies aimed at improving the understanding and quantification of dry, wet and occult deposition processes by the use of experimental approaches, using e.g. micrometeorological methods or deposition samplers, and process based and large-scale deposition modelling and the combinations thereof.
• New developments in atmospheric transport modelling, including the improvement of parameterization of atmospheric processes, the quantitative assessment of uncertainties, improving model performance, and the proper coupling of Lagrangian models to Eulerian Numerical Weather Prediction and General Circulation models.

Orals: Thu, 27 Apr | Room 0.51

Chairpersons: Alexander Moravek, Silvia Bucci
16:15–16:20
16:20–16:30
|
EGU23-13231
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ECS
|
On-site presentation
Daria Tatsii, Gholamhossein Bagheri, Silvia Bucci, Lucie Bakels, and Andreas Stohl

Gravitational settling is a crucial parameter to study the transport and distribution of atmospheric concentrations, sources, and sinks of particles. Although the settling velocity is highly dependent on the particle shape, most atmospheric transport models assume particles to be spherical, ignoring other geometries. In this study, we focus on the gravitational settling of microplastics (MP) particles, which often deviate strongly from sphericity. For instance, MP fibers can be approximated more closely by cylinders rather than spheres. 

Here, we present the results of conducted experiments with extremely elongated MP particles to define their settling velocity. This was done with the settling column and 3D-printed MP particles of different shapes (straight cylinders, half-circled cylinders, and quarter-circled cylinders), lengths, and aspect ratios. The experimental data shows that the parameterization scheme for shape correction proposed by Bagheri and Bonadonna, 2016 is a reliable tool to predict the gravitational settling of fibers considering different types of particle orientation (random, horizontal, and average of both).

This scheme was implemented in the gravitational settling scheme of the Lagrangian transport model FLEXPART to eliminate uncertainties regarding the shape of a particle when simulating solid particle transport. As a study case, the mass concentration and deposition 3D fields of MP fibers were estimated according to the global population density to understand the contribution of the individual sites/regions to MP contamination of the atmosphere, land, and World Ocean.

How to cite: Tatsii, D., Bagheri, G., Bucci, S., Bakels, L., and Stohl, A.: Gravitational settling of microplastic fibers: experimental results and implications for global transport, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-13231, https://doi.org/10.5194/egusphere-egu23-13231, 2023.

16:30–16:40
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EGU23-2660
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Virtual presentation
Carmen Wolf, Mike Wenzel, Annekatrin Dreyer, Winfried Schroeder, Stefan Nickel, Barbara Voelksen, Christine Kube, and Jochen Tuerk

Introduction: Following their transport, atmospheric pollutants are deposited on the ground, on plants or on water. Depending on the substances involved, ecosystems can be adversely affected by the deposition of nutrients or pollutants. In order to be able to counteract the potential ecological risks through environmental policy measures, it is necessary to measure the atmospheric inputs of potentially harmful substances. For this reason, heavy metal concentrations in mosses used as accumulators of atmospherically deposited substances have been determined since 1990 for every five years at up to 7300 locations in up to 34 European countries. In 2005 nitrogen was added. Persistent organic compounds were determined for the first time in the European Moss Survey in 2010, in Germany firstly in the Moss Survey of 2015/2016. Microplastics were added to this group of substances for the 2020/2021 survey. Here, we are presenting results for microplastic and a variety of persistent organic pollutants (POP) from the 2020/2021 moss survey in Germany. Materials and Methods: Sampling was performed at 20 sites according to the recommendations of the Moss Survey Manual. Afterwards a sample preparation method was established for Thermo-Extraction-Desorption-GC-MS and RAMAN spectroscopy to analyze the microplastic concentration as well as number in the moss samples. Analyses for POPs were performed as described by Dreyer et al. 2018 with slight modifications. Overall, about 120 compounds (PAH, PCDD/F, PCB, PFAS, HBCD, PBB, PBDE, alternative halogenated flame retardants (HFR)) were analysed. Results: In all Moss samples microplastic were detected. The highest concentration in all samples was observed for polyethylene, followed by polyethylene terephthalate, polypropylene and styrene-butadiene and in one sample polystyrene. At the two sampling sites near the sea the highest microplastic concentrations were indicated, whereas no correlation with the other sampling location (urban, agriculture, forest) could be detected. PBB and indicator PCB were not observed above the LOQ in any sample. PFAS and dioxin-like PCBs were very rarely found above the LOQ. In contrast, certain PCDD/F, PAH, HBCD, PBDE and HFR were frequently observed. Current concentrations at sampling sites compared to those of sites that have also been investigated in 2015/2016 were in the same order of magnitude or declined. For HBCD, concentrations declined distinctly by a factor of up to 9. Conclusions: Microplastics and many POPs were observed in moss samples indicating their suitability to monitor atmospheric deposition of these substance groups by this bioindicator. Challenges exist for PBB, PCB or PFAS either because environmental concentrations are too low with respect to the LOQ or the pollutants’ environmental behavior limit accumulation in moss. Within the past five years, most POPs concentrations in moss samples from Germany stayed more or less the same or decreased.

Acknowledgements:

We are thankful to the German Environment Agency (Umweltbundesamt) for funding this study (FKZ 3720632010).

 References:

  • UNECE ICP VEGETATION (2020) Heavy metals, nitrogen and POP in European mosses: 2020 survey monitoring manual. https://icpvegetation.ceh.ac.uk/sites/default/files/ICP%20Vegetation%20moss% 20monitoring %20manual %202020.pdf
  • Dreyer A, Nickel S, Schröder W. et al. (2018). Environ. Sci. Eur. 30 (43): 1-14.

How to cite: Wolf, C., Wenzel, M., Dreyer, A., Schroeder, W., Nickel, S., Voelksen, B., Kube, C., and Tuerk, J.: Microplastics and Persistent organic pollutants in moss samples from Germany, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-2660, https://doi.org/10.5194/egusphere-egu23-2660, 2023.

16:40–16:50
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EGU23-10074
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On-site presentation
Martin Shafer and David Gay

An increasing body of evidence documents measurable levels of a broad range of PFAS compounds in precipitation - which translate into substantial deposition loads to terrestrial and aquatic resources. In many environments these atmospheric deposition fluxes can represent the dominant source of PFAS – however, very large gaps in our understanding of atmospheric sources and processing, and deposition fluxes of PFAS remain. 

To address these issues the University of Wisconsin-Madison Wisconsin State Laboratory of Hygiene (WSLH) and the WSLH managed National Atmospheric Deposition Program (NADP), initiated a program to evaluate the efficacy of the US NADP National Trends Network (NTN) for assessment of wet-deposition of PFAS and provide novel new data on levels of PFAS in precipitation across the US.  Dedicated experiments with a diverse suite of 34 PFAS compounds addressed system blanks and stability of the PFAS species in the NTN precipitation collectors. A robust standardized protocol was promulgated for PFAS wet-deposition measurements using the NADP-NTN infrastructure and analytical tools at the WSLH.

We have now applied this protocol in several studies, including in an intensive 5-month study in 2020 at NTN sites across Wisconsin, USA (Pfotenhauer et al., 2022), and in an on-going large-scale nationwide monitoring effort at 10 NTN sites initiated in 2020 and supported by the US Environmental Protection Agency-Office of Research & Development (EPA-ORD).  In the Wisconsin study, 91 precipitation samples, along with an array of QA/QC samples were collected from 8 NTN sites across Wisconsin, and analyzed for 34 PFAS compounds. Concentrations of individual PFAS compounds were generally less than 1 ng/L, however, summed PFAS concentrations ranged from 0.7 to 6.1 ng/L with a median of 1.5 ng/L. Perfluoro carboxylates (PFCAs) were detected most frequently and constituted an average of 83% of the total PFAS mass. Daily flux values ranged from 1.3 to 47.4 ng/m2/day with a median of 5.7 ng/m2/day. Differences in the PFAS fingerprints were observed among the 8 sampling sites, reflecting local sources.

How to cite: Shafer, M. and Gay, D.: Per- and Polyfluoroalkyl Substances (PFAS): Concentrations and Deposition in Precipitation, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-10074, https://doi.org/10.5194/egusphere-egu23-10074, 2023.

16:50–17:00
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EGU23-9344
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On-site presentation
Jezabel Curbelo and Irina I. Rypina

The bushfires in Australia during the 2019/2020 season were particularly severe, leading to the creation of a plume of smoke that rose into the Lower Stratosphere and resulted in record levels of smoke concentration.  In early January 2020, the plume disperses into independent transport paths in the stratosphere. Following a Lagrangian approach, we study the three dimensional atmospheric transport in the region at this time to better understand the cause of the splitting, the subsequent transport geometry, and the influence of the plume buoyancy on its movement. Aided by the Finite Time Lyapunov Exponent tool, we identify Lagrangian Coherent Structures (LCS) which simplify the three-dimensional transport description and make possible the characterization of the smoke plume evolution. 

Our numerical modeling results were able to replicate the observed behavior of the smoke plume during the bushfires in Australia, including the splitting of the plume into multiple pathways. In the model, we found parcels trajectories with the same behavior as the observed plume, highlighted the contribution of the passive advection of the plume by the wind versus the buoyancy effect of hot smoke, delineated the plume into regions destined to different fates, and showed that the division of the main path was affected by an eddy.

How to cite: Curbelo, J. and Rypina, I. I.: Lagrangian atmospheric transport of the smoke plume from the large Australian Wildfire Event of 2019/2020., EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-9344, https://doi.org/10.5194/egusphere-egu23-9344, 2023.

17:00–17:10
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EGU23-3607
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On-site presentation
Willem W. Verstraeten, Nicolas Bruffaerts, Rostislav Kouznetsov, Mikhail Sofiev, and Andy Delcloo

Air pollution contributes to increased mortality and lower quality of life. It imposes additional distress on people suffering from respiratory diseases such as pollinosis. A quarter of the adult population and a third of all children in Europe are estimated to suffer from airborne allergenic pollen. In the future even more people might be subjected to pollen allergies since changes in climate and land-use tend to increase the amount of allergenic airborne pollen and prolong the pollen seasons. Good pollen mitigation measures may ease the symptoms but it requires proper knowledge on the modelling and forecasting of allergenic pollen in the air.

We start from the setup of the pollen transport model SILAM (System for Integrated modeLling of Atmospheric coMposition), driven by ECMWF ERA5 meteorology in a bottom-up emission approach for the period 1982-2019 for the Belgian territory. The dynamic vegetation component in the pollen transport model is determined by pollen emission source maps which have to be ingested in the model for every pollen season. The used maps are derived by merging multi-decadal datasets of spaceborne NDVI with forest inventory data in a Random Forest statistical framework.

Here we study the impact of spatially-varying pollen emission sources on the modelled airborne birch pollen levels compared with in-situ observations in a Monte-Carlo approach. Preliminary analysis indicates that by selecting the model scenario corresponding with median pollen levels, the correlation between the modelled and observed pollen levels increases with 16%. We show the importance of ingesting the appropriate pollen emission source map when the modelling and forecasting of airborne birch pollen levels is aimed for. Finally, we review methods to relate the pre-pollen season meteorology or vegetation state on the birch pollen loads of the up-coming season as tool for selecting the best emission source map in the forecasting framework.

How to cite: Verstraeten, W. W., Bruffaerts, N., Kouznetsov, R., Sofiev, M., and Delcloo, A.: Mediating Airborne Birch Modelling and Forecasting, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-3607, https://doi.org/10.5194/egusphere-egu23-3607, 2023.

17:10–17:20
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EGU23-11485
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ECS
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On-site presentation
Minjie Zheng, Hongyu Liu, Florian Adolphi, Raimund Muscheler, Zhengyao Lu, Mousong Wu, and Nønne Prisle

The cosmogenic radionuclides 7Be and 10Be are useful aerosol tracers for atmospheric transport studies. Combining 7Be and 10Be measurements with an atmospheric transport model, not only can improve our understanding of the radionuclide transport and deposition processes, but also can provide an evaluation of the transport process in the model. To simulate those aerosol tracers, it is critical to evaluate the influence of production uncertainties in simulations. Here we use the GEOS-Chem transport model to simulate 7Be and 10Be with different production scenarios: the default production scenario in GEOS-Chem based on an empirical approach, and two production scenarios from the CRAC: Be (Cosmic Ray Atmospheric Cascade: application to Beryllium) model. The model results are comprehensively evaluated with a large number of measurements including more than 490 sites for surface air concentrations and 300 sites for deposition flux. The model can reproduce the absolute values and temporal variability of 7Be and 10Be surface concentrations and deposition fluxes on annual and sub-annual scales. The simulations using the CRAC production scenarios yield a better agreement with the measured deposition flux (70% of data within a factor of 2) compared to the default production scenario in the GEOS-Chem model (59%).  This better agreement is also observed for the vertical profiles of air 7Be concentrations.  Independent of the production models, surface air concentrations and deposition fluxes from all simulations show similar seasonal variations, suggesting a dominant meteorological influence. Finally, we demonstrate the importance of including time-varying solar modulation in the production calculation, which can significantly improve the agreement between the model and measurements, especially from mid to high latitudes.

How to cite: Zheng, M., Liu, H., Adolphi, F., Muscheler, R., Lu, Z., Wu, M., and Prisle, N.: Evaluation of GEOS-Chem model performance for simulating transport and deposition of cosmogenic 10Be and 7Be using different production models, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11485, https://doi.org/10.5194/egusphere-egu23-11485, 2023.

17:20–17:30
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EGU23-17115
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ECS
|
On-site presentation
Deo-Gratias Sourabie, Didier Hebert, Lucilla Benedetti, Elsa Vitorge, Beatriz Lourino-Cabana, Valery Guillou, and Denis Maro

Chlorine 36 (36Cl, T1/2 = 301,000 years) is a radionuclide with natural and anthropogenic origin that can be rejected during decommissioning of nuclear power plants or chronically during recycling of used nuclear fuels. Once emitted into the atmosphere, chlorine 36 (gas and particles) can be transferred to the soil and vegetation cover by dry and wet deposition. However, quantitative constraints of these deposits are very scarce. Because of its relatively high mobility in the geosphere and its high bioavailability, chlorine 36 fate in the environment should be studied for environmental and human impact assessments.
The aim of this study is therefore to develop dry depositional models for the gaseous and particulate fractions of chlorine 36. The model used for the parameterization of gaseous chlorine 36 dry deposition on grass is the << Big-leaf >> model based on the electrical analogy (Seinfield 1985). It was adapted from the Bah (2020) model developed for iodine. For particulate chlorine 36, the Damay-Pellerin (2017) model was used. This model requiring the diameter of particulate chlorine 36 to be known, a sample of aerosol was taken in the chlorine 36 plume to determine on which particle size it is fixed. The sampling was performed on a low pressure impinger (LPI, DEKATI) of 13 levels for particles with diameters between 30nm and 10μm. In order to obtain model input data, meteorological and micrometeorological parameters were measured continuously at the IRSN La-Hague technical platform (PTILH, France). The PTILH is located 2 km north of Orano La-Hague plant which emits small quantities of chlorine 36. An ultrasonic anemometer (Young 81000V) installed at a height of 4,5 m from the ground measured the direction (°), the velocity u (m/s) and the air friction velocity u* (m/s), the sensible heat flux H, the Monin-Obukhov length (L) and the atmospheric stability (1/L). A weather station (Spectrum Watchdog, series 2000) measured temperature Ts (°C), relative humidity RH (%), dew point (°C), global radiation SR (Wat/m2) and photosynthetic active radiation PAR (μM/m2.s). Sampling campaigns of 2 weeks were also conducted at the PTILH site to determine experimental depositional rates of chlorine 36. Chlorine 36 measurements were carried out by acceleration mass spectrometry at CEREGE-LN2C (France).
The particle size distribution of the aerosol sample from chlorine 36 plume shows two peaks, a main one at 2μm and a second one at 10μm, typical distribution of marine aerosol. The models yield chlorine 36 depositional velocities between 6,7.10-3 and 10-2 m/s for the particulate fraction, and between 5.10-3 and 1,3.10-2 m/s for the gaseous one. The total dry depositional velocities (particles and gas) calculated from the model are less than one order of magnitude than the ones obtained experimentally.

How to cite: Sourabie, D.-G., Hebert, D., Benedetti, L., Vitorge, E., Lourino-Cabana, B., Guillou, V., and Maro, D.: Modelling the atmospheric chlorine 36 dry deposition on grass using micrometeorology, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-17115, https://doi.org/10.5194/egusphere-egu23-17115, 2023.

17:30–17:40
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EGU23-3129
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On-site presentation
Iva Hunova, Martin Novak, Pavel Kurfürst, Hana Skachova, Marketa Stepanova, Arnost Komarek, Jan Curik, Frantisek Veselovsky, Eva Prechova, and Leona Bohdalkova

Rime is an under-researched pathway of the atmospheric deposition of ecological and environmental relevance, in particular in mountain regions. Rime alongside with snow were sampled and assessed for S-SO42- and N-NO3- at ten border mountaintop sites across the Czech Republic (CR) in the three consecutive winters of 2009–2011. Our observations indicated significantly higher sulphur (S) and nitrogen (N) contents in rime as compared to snow at all sites.  Whereas the highest S contamination was found in the industrial North, the highest N contamination was found unexpectedly in the relatively unpolluted South. The measurements were put in context with data driven geo-spatial modeling results (Hůnová et al., 2016) of annual wet vertical (rain and snow) and horizontal (fog and rime) deposition. Despite relatively low hydrological input of rime, it contributed significantly to annual atmospheric deposition. At nine out of ten sites, the winter-time deposition of S via rime corresponded to 5–13% of annual wet-only S deposition, while it reached full 25% at the most S-polluted TET site in the Orlicke hory Mts., a region bordering Poland (Hůnová et al., 2022). Modelled results showed that mean winter rime deposition corresponded to about 6–25%, and mean winter snow deposition made up 25–72.5% of mean annual N-NO3- wet-only deposition (Hůnová et al., submitted). Model N-NO3-occult deposition estimated from throughfall and total (wet and dry) deposition is highly uncertain, however: N throughfall is not a relevant proxy for estimation of realistic total N deposition due to N exchange between the tree canopy and atmosphere.  Considering the fact that wet-only deposition is a year-long phenomenon, whereas rime forms under the climatological conditions of the Czech middle elevated mountains during only a few (2–3) months a year, we can conclude that the rime deposition pathway should not be neglected in quantifying the real atmospheric deposition flux in mountain regions as it might contribute to the real deposition flux substantially even in mountains of medium elevation, as was observed in the CR.

References:

Hůnová I., Kurfürst P., Vlček O., Stráník V., Stoklasová P., Schovánková J., Srbová D., 2016. Towards a Better Spatial Quantification of Nitrogen Deposition: A Case Study for Czech Forests. Environmental Pollution 213, 1028–1041. doi: 10.1016/j.envpol.2016.01.061.

Hůnová I., Novák M., Kurfürst P., et al., 2022. Contribution of rime to atmospheric sulphur deposition in Central Europe: A combined empirical and modelling approach. Atmospheric Environment 270, 118877. https://doi.org/10.1016/j.atmosenv.2021.118877.

Hůnová I., Novák M., Kurfürst P., et al., submitted. Comparison of vertical and horizontal atmospheric deposition of nitrate at Central European mountain-top sites during three consecutive winters.

How to cite: Hunova, I., Novak, M., Kurfürst, P., Skachova, H., Stepanova, M., Komarek, A., Curik, J., Veselovsky, F., Prechova, E., and Bohdalkova, L.: Rime – a non-negligible pathway of sulphur and nitrogen atmospheric deposition in middle-elevated Central European mountains  , EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-3129, https://doi.org/10.5194/egusphere-egu23-3129, 2023.

17:40–17:50
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EGU23-15811
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On-site presentation
Richard Kranenburg, Martijn Schaap, Markus Geupel, Stefan Feigenspan, and Alexander Moravek

Eutrophication is one of the main reasons threatening biodiversity in Germany. To quantify the risk for biodiversity caused through nitrogen deposition, in Germany national data on the exceedance of critical loads for eutrophication are used as indicators for the National Strategy on Biodiversity and for the National Sustainability Development Strategy. In addition, to prevent ecosystems from unwanted further excessive nitrogen deposition, according to the German emission control and nature protection legislation, nitrogen deposition has to be assessed when new nitrogen emitting projects are submitted. To support the development of the national nitrogen strategy and devise regional emission targets an effort was made to provide insight into the geographic regions of origin of the nitrogen deposited within the federal states in Germany.

The atmospheric dispersion modelling was performed with chemistry transport model LOTOS-EUROS. Simulations over Germany were run with a resolution of 0.10° longitude by 0.05° latitude, nested in a European simulation. In addition to species concentrations and deposition fluxes, the contributions of predefined source categories were calculated and tracked using a labelling approach for the year 2019. The labels applied in this simulation encompass all emissions from the 16 individual German federal states, all 9 neighbouring countries of Germany and countries further away. Additionally, labels were attached to international shipping emissions, natural emissions, and boundary conditions to cover intercontinental transport. This result in a full source-receptor matrix with contributions to N-deposition in all federal states with contributions from all states and neighbouring countries. To assess contributions of local sources, an additional simulation was performed with emission reductions on three surface and two stack point sources.

Largest average depositions in Germany are found in Hamburg and Bremen followed by Niedersachsen, Nordrhein-Westfalen and Schleswig-Holstein. Hamburg and Bremen are small city states with relative high NOx emission densities. However, local emissions only contribute approximately 20%, main contributors are neighbouring areas Niedersachsen and Schleswig-Holstein due to their large agricultural sector with high ammonia emissions. A general trend can be spotted that states with dominant NHx emissions also have the highest local deposition. This holds for Baden-Württemberg, Bayern, Niedersachsen, Nordrhein-Westfalen and Schleswig-Holstein, where on average 40% of the nitrogen deposition originates from the sources within each state. For many states, there is also a considerable contribution of countries surrounding Germany. Emissions from the Netherlands contribute mainly in Bremen, Hamburg, Niedersachsen, Nordrhein-Westfalen and Schleswig-Holstein. The other main contributor is France, affecting mainly the states in southern Germany. The assessment of local contributions from the surface point sources shows that about 18-22 % of the emitted mass is deposited within a radius of 20 km from the source In contrast, for two the stack point sources, NHx deposition within 20 km of the source is only about 5% of the emission strength.

How to cite: Kranenburg, R., Schaap, M., Geupel, M., Feigenspan, S., and Moravek, A.: Origin of nitrogen deposition in Germany: Source allocation and influence of local emissions, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-15811, https://doi.org/10.5194/egusphere-egu23-15811, 2023.

17:50–18:00
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EGU23-16207
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ECS
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On-site presentation
seyed omid nabavi and Theodoros Christoudias

Recent studies show that effective pollution control strategies have led to a significant reduction in air pollution in Cyprus. However, the same studies attributed a large number of pollution episodes to the long-range transport of pollutants from regional sources. Black carbon (BC) and carbon monoxide (CO), with a lifetime of several weeks to several months in the troposphere, are considered reliable aerosol and gaseous pollutants to quantify the contribution of regional sources. This study aims to investigate the contribution of anthropogenic sources to atmospheric pollutants over the Eastern Mediterranean. Using FLEXPART, a Lagrangian dispersion model, the origin and residence time of air masses over Cyprus from Europe and the MENA region have been simulated with a temporal resolution of 3 hours for each day of 2019. Then, by coupling FLEXPART simulations to global emission inventories, including MACCity and CAMS-GLOB, the contribution of sources to CO and BC simulations in Cyprus was determined separately for each sector and country in the study area. Results show that CO concentrations are mainly modulated by sources in Turkey. Secondary sources are found in MENA (Iran, Iraq, and Syria) in the cold period of the year and in Eastern (Ukraine and Russia) and Western Europe (Germany and Italy) in the warm seasons. While CAMS-GLOB simulations identify the main sources in agricultural (in the cold period) and residential (in the warm period) sectors, traffic sources have also been identified with the largest contributions in MACCity simulations. Regarding BC simulations, most sources are found in Turkey in the agricultural (in CAMS-GLOB simulations) and industrial (in MACCity simulations) sectors. Local sources were found influential only in the MACCity BC simulations. This can be attributed to uncertainties in the emission inventories and in the simulations of atmospheric residence times. Our results can inform policy- and decision-makers in implementing efficient abatement strategies, improving air quality, and reducing human exposure.

How to cite: nabavi, S. O. and Christoudias, T.: Long-range source apportionment of black carbon and carbon monoxide over Cyprus using FLEXPART and global emission inventories, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-16207, https://doi.org/10.5194/egusphere-egu23-16207, 2023.

Posters on site: Fri, 28 Apr, 10:45–12:30 | Hall X5

Chairpersons: Alexander Moravek, Silvia Bucci
X5.111
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EGU23-2323
Damianos Mantsis, Ilias Gialampoukidis, Stefanos Vrochidis, Theodora Tsikrika, and Ioannis Kompatsiaris

Illegal activities such as the manufacturing of home-made explosives may result in the dispersion of certain type of gases in the atmosphere or water pollutants. Our study addresses the methodology that can be used to track the source location of these gases after they have been detected. Traditionally, tracking the source location of a gas release requires the knowledge of the emission maps, however, given the nature of the task, this is unknown in our case. Our methodology, does not involve inverse modeling, and only requires the use of a network of instruments on the ground or mounted on aerial vehicles. The FLEXPART-WRF Lagrangian dispersion model is used to backward simulate the dispersion and transport of the gases at 0.5-1 Km horizontal resolution. The numerical experiments take place at two different geographical regions, i.e. one with strong topography and another over plain terrain with no topography, and over a wide range of meteorological conditions. Our results indicate that 5 to 10 ground measurements are enough to locate the source with an accuracy of a few kilometers. Identifying the time of the release, on the other hand, is more challenging especially if the initial release of the gas does not take place instantly and is gradual.

How to cite: Mantsis, D., Gialampoukidis, I., Vrochidis, S., Tsikrika, T., and Kompatsiaris, I.: Using atmospheric models to simulate backward certain gases that are the result of illegal activities and locate the source, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-2323, https://doi.org/10.5194/egusphere-egu23-2323, 2023.

X5.112
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EGU23-4400
Timothy B Onasch, J. Rob Roscioli, Matt Lund, Joanne Shorter, and Andrew Freedman

We are in the process of developing a comparatively inexpensive, robust, cavity attenuated phase shift (CAPS)‐based monitor to measure total reactive nitrogen (NR) emission and deposition rates. Total reactive nitrogen comprises both particle (ammonium and nitrate based) and gas phase species such as ammonia, nitrogen oxides, and various organo‐nitrogen compounds. The monitor will be capable of partitioning the emission/deposition rates between particle and gas allowing it to adapt sampling modes to optimize the operation of the monitor.

The monitor comprises a Total Reactive Atmospheric Nitrogen Converter (TRANC) (Marx et al. 2012), the output of which is coupled to a CAPS NOx monitor. The TRANC thermally decomposes and oxidizes both non‐refractory atmospheric particles into their gas phase constituents, and any volatile nitrogen-containing gases to NO + NO2. It does so by passing the sample through an oven operating at >900 ºC which has been shown to effectively operate at the residence times (i.e., flow rates) required for emission/deposition rate measurements such as eddy covariance (Ammann et al. 2012).

The output of the TRANC is sent to a CAPS NOx monitor which uses photolytically produced ozone to oxidize NO to NO2 with >98% efficiency without further oxidation to NO3. The resultant NO2 is measured using the Cavity Attenuated Phase Shift (CAPS) technique at 405 nm, a wavelength free from interference from the ozone in the flow (Kebabian, et al. 2007; Kebabian, et al., 2008; Roscioli, et al., 2022). The CAPS NOx monitor has been shown to have a sensitivity (2s, 1s) of less than 0.2 ppb and to be highly linear over a range of 0-1000 ppb. 

                Conversion efficiencies for gas phase ammonia and a range of nitrogen-containing particulate species are shown to be within 10% of unity. Aerosolized particles were size selected with an Aerodynamic Aerosol Classifier; equivalent gas phase concentrations were calculated by measuring particle concentrations with a condensation particle counter and assuming a per particle mass.  Within experimental error, gas phase ammonia and ammonium and nitrate containing particles were completely converted to gas phase NO + NO2. This holds true over a range of particle flow rates.

 

This work is supported by NASA, the U.S. Department of Energy and the U.S. Department of Agriculture, all under the Small Business Innovation Research program.

Kebabian, P.L., W.A. Robinson and A. Freedman (2007) Rev. Sci. Instrum., 78, 063102.

Kebabian, P.L., E.C. Wood, S.C. Herndon, and A. Freedman (2008) Environ. Sci. Technol., 42:6040-6045.

Ammann, C., Wolff, V., Marx, O., Brümmer, C., and Neftel, A. (2012). Biogeosciences 9 (11):4247–4261. doi:10.5194/bg-9-4247-2012.

Marx, O., Brümmer, C., Ammann, C., Wolff, V., and Freibauer, A. (2012). Atmospheric Meas. Tech. 5 (5):1045–1057. doi:10.5194/amt-5-1045-2012.

Roscioli, J., T.B. Onasch, and A. Freedman (2022) in preparation.

How to cite: Onasch, T. B., Roscioli, J. R., Lund, M., Shorter, J., and Freedman, A.: Total Reactive Nitrogen Flux Monitor Using CAPS NOx Detection, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-4400, https://doi.org/10.5194/egusphere-egu23-4400, 2023.

X5.113
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EGU23-7040
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ECS
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Martin Vojta, Andreas Plach, Rona Thompson, and Andreas Stohl

Inverse modeling provides a powerful tool to verify national greenhouse gas (GHG) emission inventories by using atmospheric observations. Often, inversions are based on Lagrangian Particle Dispersion Model simulations, where virtual particles are released from observation sites and traced backwards in time to establish a relationship between atmospheric concentrations and emission sources within the simulation period. The fact, that this simulation period is limited due to computational costs, raises two essential questions: (i) How to best define a baseline, that accounts for all emissions that occur prior to the simulation period? (ii) Which period length should be chosen for the backward-simulation?

We show that often used statistical baseline methods have large problems and present a superior global-distribution-based (GDB) approach, that is consistent with the backward-simulation period, accounts for meteorological variability, and leads to inversion results that agree well with known global emission estimates. Our results further show, that longer backward-simulation periods beyond the often used 5 to 10 days increase the correlation between modeled and observed concentrations, and lead to more robust inversion results. Furthermore, they can help to better constrain emissions in regions poorly covered by the observation network.

Based on these methodological results, we perform inversions for sulfur hexafluoride (SF6) - the most potent GHG regulated under the Kyoto Protocol with an estimated atmospheric lifetime of 3200 years. The inversions are based on 50-days backward-simulations, in-situ and flask measurements from various observation networks, and the GDB baseline method, to achieve globally and regionally consistent SF6 emissions from 2005 to present.

How to cite: Vojta, M., Plach, A., Thompson, R., and Stohl, A.: Sulfur hexafluoride emissions – critical remarks on inversion techniques and inverse model results for the past two decades, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-7040, https://doi.org/10.5194/egusphere-egu23-7040, 2023.

X5.114
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EGU23-8887
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ECS
Catarina Alonso and Célia Gouveia

Tropospheric ozone (O3) is an important anthropogenic gas, and it is a secondary air pollutant. The combination of sunlight with non-methane hydrocarbons (NMHCs) and NOx (NO + NO2) from biomass burning results in significant photochemical production of O3. Since the fire season in Portugal occurs during the summer, these emitted O3 precursors lead to the production of O3. An excessive concentration of tropospheric O3 damage leaves, decreasing photosynthesis, plant growth and biomass accumulation and costing, therefore, billions of dollars annually in lost plant productivity.

The main objective of this work is to understand if there is a relationship between the loss in crop yields due to the concentration of O3 derived from fires, in Portugal mainland. Therefore, this work is divided into three phases: i) to evaluate the relationship between tropospheric O3 and extreme fires; ii) relate the contribution of O3 to vegetation productivity contraction; and iii) relate the fire-induced O3 increments to vegetation losses. To access to tropospheric O3 concentration data Atmospheric Infrared Sounder (AIRS) and Copernicus Atmosphere Monitoring Service (CAMS) products were used. The AIRS Version 7 Level 3 product are daily, gridded mean geophysical parameters on 1°x1° grid cells, with higher internal vertical resolution at 100 pressure levels (1000 hPa – 1 hPa). The CAMS reanalysis (CAMSRA) O3 data have a temporal resolution of 3 h and a spatial resolution of approximately 80 km (0.7°x0.7° grid cells) with 60 hybrid sigma–pressure (model) levels (13 levels, 400 - 100 hPa) in the vertical (top level at 0.1 hPa).  Vegetation productivity is assessed by means of Gross Primary Production (GPP) available from Moderate Resolution Imaging Spectroradiometer (MODIS) collections. It can be concluded that when fires occur in large areas, such as the fires of 2012 (Serra do Caldeirão) and 2018 (Monchique) the levels of surface O3 concentration have a high increase, which can lead to a decrease in vegetation and crop productivity.

Acknowledgements: This study is partially supported by the European Union’s Horizon 2020 research project FirEUrisk (Grant Agreement no. 101003890) and by the Portuguese Fundação para a Ciência e a Tecnologia (FCT) I.P./MCTES through national funds (PIDDAC) – UIDB/50019/2020- IDL,  DHEFEUS - 2022.09185.PTDC

How to cite: Alonso, C. and Gouveia, C.: Vegetation losses due to surface ozone concentrations from fires in Portugal mainland, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-8887, https://doi.org/10.5194/egusphere-egu23-8887, 2023.

X5.115
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EGU23-10064
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ECS
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Connor Olson, Benjamin Geyman, Colin Thackray, Chris Johnson, Elsie Sunderland, and Charles Driscoll

Over the past half century, air quality management efforts have led to substantial decreases in mercury emission across North America and Europe. Subsequent declines of mercury concentrations in air and precipitation have been well documented, resulting in lower mercury fluxes in wet deposition. The responsiveness of ecosystems to these decreasing inputs is an on-going point of scientific inquiry and for some matrices, considerable uncertainty exists. Organic surface soils are one such example, with relatively little known about how and on what time scale soils react to changes in mercury deposition. Here, we present an analysis of total mercury in organic soils from the Hubbard Brook Experimental Forest (HBEF), New Hampshire USA, spanning over 50 years. Archived soil samples representing the Oie and Oa horizons in the reference watershed (WS6) were oven-dried, milled, and analyzed via direct mercury analyzer. Trends in total mercury concentration varied over time and among organic soil horizons, with overall mercury concentrations decreasing. Changes in Oie mercury concentration were more pronounced that the Oa horizon and matched modeled deposition for the experimental area (GEOS-Chem). Conversely, Oa mercury concentrations showed little agreement with deposition and are likely integrating atmospheric inputs over a much longer period. Overall, results suggest that organic soils at HBEF are dynamic and responsive to changes in atmospheric emissions.

How to cite: Olson, C., Geyman, B., Thackray, C., Johnson, C., Sunderland, E., and Driscoll, C.: Changes in Organic Soil Mercury Concentrations Over 50 years at the Hubbard Brook Experimental Forest, New Hampshire, USA, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-10064, https://doi.org/10.5194/egusphere-egu23-10064, 2023.

X5.116
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EGU23-13672
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ECS
Sijie Feng, Wen Xu, Mengru Wang, Yuanhong Zhao, Maryna Strokal, Carolien Kroeze, Lin Ma, and Fusuo Zhang

Over the past few decades, human activities associated with energy and food production (e.g., industrial, traffic, agricultural, and waste disposal sources) have substantially increased emissions of reactive nitrogen (Nr) to the atmosphere which leads to excessive atmospheric nitrogen (N) deposition on land and rivers. Part of the deposited N on land is also transported to rivers (defined as indirect N deposition). China is a global hotspot of N deposition and has implemented strict atmospheric policies in the last decade. Yet, the responses of N deposition (including direct and indirect N deposition) to these policies and inputs into the river are not well known. We couple a global chemistry transport model with the native 0.5°×0.625° horizontal resolution with a water quality model to simulate direct and indirect N deposition from human activities on rivers in 33 Chinese sub-basins in 2011 and 2019. Compared with 2011, the fluxes of direct N deposition on both rivers and land changed from 10.9 to 10.8 Tg N yr-1 (including deposition of reduced nitrogen (NHx) changed 4.6 to 5.9 Tg N yr-1 and deposition of oxidized nitrogen (NOy) changed 6.3 to 4.9 Tg N yr-1) among the sub-basins in 2019. The results indicate that the strict air policies since 2013 released by the Chinese government significantly decreased NOy. However, the amounts of direct and indirect N deposition on water on average only declined by 2% across all sub-basins, mostly due to the increases in dry ammonia deposition. Agriculture was estimated as the largest source, contributing 30% and 37% to the total N deposition in 2011 and 2019. Thus, agricultural ammonia emission control is essential to reduce N deposition-induced water pollution. This integrated air-water model can assess the impacts of N deposition on water quality, providing insights to develop the pollution control policy for both air and water in sub-basins.

How to cite: Feng, S., Xu, W., Wang, M., Zhao, Y., Strokal, M., Kroeze, C., Ma, L., and Zhang, F.: Elevated ammonia emission neutralized alleviation of nitrogen deposition to water pollution in China, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-13672, https://doi.org/10.5194/egusphere-egu23-13672, 2023.

Posters virtual: Fri, 28 Apr, 10:45–12:30 | vHall AS

Chairpersons: Alexander Moravek, Silvia Bucci
vAS.17
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EGU23-3358
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ECS
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Andreas Schmitz, Bernd Ahrends, Hartmut Herrmann, Alexander Moravek, Laurent Poulain, Tanja Sanders, Alfred Wiedensohler, and Andreas Bolte

Measurements of throughfall (TF) and wet deposition (WD) are a common method to assess nitrogen (N) and base cation (BC) deposition to forests. Using TF and WD, dry deposition (DD) is usually calculated with a canopy budget model (CBM) assuming similar BC to Na+ ratios in WD and DD. This assumption is especially uncertain for K+, since K+ is often bound to smaller particles compared to Na+. Here we asses this assumption by comparing the DD of K+ estimated with the CBM (DDKCBM) to the DD of K+ simulated with a process oriented DD model (“inferential model”, DDKINF). Simulation experiments were performed at two indicator forest stands (“virtual” broadleaved (BL) and coniferous (CF) forest) based on six years of daily PM2.5 and PM10 concentrations and weekly WD observations measured at the rural background research station Melpitz, Germany. On average, the K+:Na+ ratio in WD was 0.24 while the K+:Na+ ratio in DDINF was 0.43 (CF) and 0.40 (BL), respectively. Accordingly, DDKCBM would need to be multiplied by a correction factor of 1.77 (CF) and 1.66 (BL) to match DDKINF, with substantial variation between years (lowest correction factor: 0.98, highest correction factor: 3.89). However, applying the correction factors in CBM calculations at nearby ICP Forests monitoring sites had only little effect on total (WD+DD) deposition rates of N and BC. The results were robust against changes in the meteorological data used for the inferential model. Uncertainty arises from periods affected by presence of particles larger than 10 µm diameter, not covered by local measurements. A corresponding lower boundary estimate for the average underestimation of DDKCBM is a correction factor of 1.37 (CF) and 1.29 (BL). More work is required to assess to what extend the observed underestimation of DDKCBM is confirmed by other methods and at sites with different atmospheric conditions.

How to cite: Schmitz, A., Ahrends, B., Herrmann, H., Moravek, A., Poulain, L., Sanders, T., Wiedensohler, A., and Bolte, A.: Underestimation of potassium in forest dry deposition? – A simulation experiment in rural Germany, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-3358, https://doi.org/10.5194/egusphere-egu23-3358, 2023.

vAS.18
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EGU23-15773
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ECS
Jiani Tan, Hang Su, Syuichi Itahashi, Wei Tao, Siwen Wang, Rui Li, Hongbo Fu, Kan Huang, Joshua Fu, and Yafang Cheng

Accurate estimation on reaction nitrogen (Nr) deposition is highly demanded for assessing the impacts on the environment and human beings. This study investigated the wet deposition of inorganic nitrogen (IN) in mainland China by measurements from over 500 sites from five observational networks/databases and ensemble results of eleven chemical transport models (CTMs). Each data source has its focus and limitations and together formed a comprehensive view over China. But the inconsistency among different sources may hinder the appropriate usage of data. Model evaluation results demonstrated the models’ deficiency in simulating the wet NO3- deposition over Southeast China (40% underestimation) and showed an overall underestimation of wet NH4+ deposition over the hotspot regions (5-60% underestimation). A synthesis of this study and twelve reference studies was conducted to quantify the national amount of wet IN deposition. The estimations by CTMs ranged 2.4-3.9 Tg(N) yr-1 for wet NOy deposition and 4-6.7 Tg(N) yr-1 for wet NHx deposition, after adjusting the results with 10-19% underestimations in wet NOy deposition and 1-40% underestimations in wet NHx deposition. The estimations by ground observations ranged 7.1-9 Tg(N) yr-1 for wet NOy deposition and 8-13.1 Tg(N) yr-1 for wet NHx deposition, which were 20-275% higher than the estimation by CTMs, but the results were strongly influenced by the abundances and representative of measurements. Studies using statistical techniques to interpolate site observations predicted 3-5.5 Tg(N) yr-1 for wet NOy deposition and 3.9-7.2 Tg(N) yr-1 for wet NHx deposition. This approach benefited from high accuracy and good robustness of the statistical models, but the uncertainty in the interpolation methods could be a potential drawback.

How to cite: Tan, J., Su, H., Itahashi, S., Tao, W., Wang, S., Li, R., Fu, H., Huang, K., Fu, J., and Cheng, Y.: Quantifying the Wet Deposition of Reactive Nitrogen over China: Synthesis of Observations and Models, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-15773, https://doi.org/10.5194/egusphere-egu23-15773, 2023.

vAS.19
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EGU23-1227
Winfried Schröder, Stefan Nickel, Annekatrin Dreyer, and Barbara Völksen

Mosses are suitable for recording the bioaccumulation of atmospheric deposition over large areas at many sites. In Europe, such monitoring has been carried out every five years since 1990. Mosses have been collected and chemically analysed for metals (since 1990), nitrogen (since 2005), persistent organic pollutants (since 2010) and microplastics (2020). The aims of this study were: 1. To analyse the temporal trends of metal and nitrogen accumulation in mosses between 1990 or 2005, respectively, and 2020 in Germany; 2. To compare the accumulation trends with emission data; and 3. To determine the effect of tree canopy drip on metal and nitrogen accumulation in mosses. For the temporal trend analysis, the minimum sample number required for a reliable estimation of arithmetic mean values and statistical parameters based on it was calculated. It was only achieved for nitrogen, but not for metals. Therefore, the temporal trends of bioaccumulation of metals and nitrogen were calculated on the basis of median values. For the analyses of tree canopy effects on elements accumulation in mosses, 14 vegetation structure measures were used, which together with 80 other descriptors characterise each moss collection site and its environment. The comparison of the data obtained during the first monitoring campaign with those of the 2020 survey showed a significant decrease in metals bioaccumulation. However, in contrast to the emission data, an increase in accumulation of some metals was observed between 2000 and 2005 and of all metals from 2015 to 2020. Trends in Germany-wide nitrogen medians over the last three campaigns (2005, 2015, 2020) show that nitrogen medians decreased by -2% between 2005 and 2015 and increased by +8% between 2015 and 2020. These differences are not significant and do not match the emission trends. Inferential statistics confirmed significantly higher metal and nitrogen accumulation in mosses collected under tree canopies compared to adjacent open areas. Measured concentrations of metals and nitrogen were significantly higher under tree canopies than outside of them, by 18-150 %.

Keywords: Bioaccumulation; regression analysis; trend analysis

How to cite: Schröder, W., Nickel, S., Dreyer, A., and Völksen, B.: Accumulation of atmospheric metal and nitrogen deposition in mosses 1990-2020, comparison with emission data and tree canopy drip effects, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-1227, https://doi.org/10.5194/egusphere-egu23-1227, 2023.