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Modeling products for ACTRIS stations

Evangeliou, Nikolaos; Eckhardt, Sabine

2023

Modeling products for ACTRIS users

Evangeliou, Nikolaos

2022

Modeling study of the impact of SO2 volcanic passive emissions on the tropospheric sulfur budget

Lamotte, Claire; Guth, Jonathan; Marécal, Virginie; Cussac, Martin; Hamer, Paul David; Theys, Nicolas; Schneider, Philipp

Well constrained volcanic emissions inventories in chemistry transport models are necessary to study the impacts induced by these sources on the tropospheric sulfur composition and on sulfur species concentrations and depositions at the surface. In this paper, the changes induced by the update of the volcanic sulfur emissions inventory are studied using the global chemistry transport model MOCAGE (MOdèle de Chimie Atmosphérique à Grande Échelle). Unlike the previous inventory (Andres and Kasgnoc, 1998), the updated one (Carn et al., 2016, 2017) uses more accurate information and includes contributions from both passive degassing and eruptive emissions. Eruptions are provided as daily total amounts of sulfur dioxide (SO2) emitted by volcanoes in the Carn et al. (2016, 2017) inventories, and degassing emissions are provided as annual averages with the related mean annual uncertainties of those emissions by volcano. Information on plume altitudes is also available and has been used in the model. We chose to analyze the year 2013, for which only a negligible amount of eruptive volcanic SO2 emissions is reported, allowing us to focus the study on the impact of passive degassing emissions on the tropospheric sulfur budget. An evaluation against the Ozone Monitoring Instrument (OMI) SO2 total column and MODIS (Moderate-Resolution Imaging Spectroradiometer) aerosol optical depth (AOD) observations shows the improvements of the model results with the updated inventory. Because the global volcanic SO2 flux changes from 13 Tg yr−1 in Andres and Kasgnoc (1998) to 23.6 Tg yr−1 in Carn et al. (2016, 2017), significant differences appear in the global sulfur budget, mainly in the free troposphere and in the tropics. Even though volcanic SO2 emissions represent 15 % of the total annual sulfur emissions, the volcanic contribution to the tropospheric sulfate aerosol burden is 25 %, which is due to the higher altitude of emissions from volcanoes. Moreover, a sensitivity study on passive degassing emissions, using the annual uncertainties of emissions per volcano, also confirmed the nonlinear link between tropospheric sulfur species content with respect to volcanic SO2 emissions. This study highlights the need for accurate estimates of volcanic sources in chemistry transport models in order to properly simulate tropospheric sulfur species.

2021

Modeling the Dynamic Behavior of Radiocesium in Grazing Reindeer

Skuterud, Lavrans; Hevrøy, Tanya Helena; Thørring, Håvard; Ytre-Eide, Martin

Radiocesium contamination in Norwegian reindeer and the factors influencing contamination levels have been studied for more than 50 years, providing significant amounts of data. Monitoring contamination in reindeer is of utmost importance for reindeer husbandry and herders in Norway and will need to be studied for many years because of the persistent contamination levels due to the 1986 Chernobyl fallout. This paper presents a novel dynamic model that takes advantage of the large data sets that have been collected for reindeer monitoring to estimate 137Cs in reindeer meat at any given time. The model has been validated using detailed 137Cs data from one of the herds most affected by the fallout. The model basis includes detailed 137Cs soil data from aerial surveys, GPS-based knowledge of reindeer migration, and local soil-to-vegetation 137Cs transfer information. The validation exercise shows that the model satisfactorily predicts both short- and long-term changes in 137Cs concentrations in reindeer meat and suggests that the model will be a useful tool in estimating seasonal changes and evaluating possible remedial actions in case of a future fallout event.

2022

Modeling the exposure history of human individuals to persistent organic pollutants.

Wania, F.; Binnington, M.; Wood, S.; Armitage, J.; Nost, T.; Breivik, K.

2015

Modeling the global atmospheric transport and deposition of mercury to the Great Lakes.

Cohen, M. D.; Draxler, R. R.; Artz, R. S.; Blanchard, P.; Gustin, M. S.; Han, Y.-J.; Holsen, T. M.; Jaffe, D. A.; Kelley, P.; Lei, H.; Loughner, C. P.; Luke, W. T.; Lyman, S. N.; Niemi, D.; Pacyna, J. M.; Pilote, M.; Poissant, L.; Ratte, D.; Ren, X.; Steenhuisen, F.; Steffen, A.; Tordon, Wilson, S. J.

2016

Modeling the Impact of Energetic Particle Precipitation on Stratospheric Nitric Acid Enhancements using WACCM. NILU F

Tweedy, O.; Limpasuvan, V.; Orsolini, Y.J.; Smith, A.K.; Garcia, R.R.; Kinnison, D.; Randall, C.E.; Kvissel, O.-K.; Stordal, F.; Harvey, V.L.; Chandran, A.

2013

Modeling the Influence of Eutrophication and Redox Conditions on Mercury Cycling at the Sediment-Water Interface in the Berre Lagoon

Pakhomova, Svetlana; Yakushev, Evgeniy; Protsenko, Elizaveta; Rigaud, Sylvain; Cossa, Daniel; Knoery, Joel; Couture, Raoul-Marie; Radakovitch, Olivier; Yakubov, Shamil; Krzeminska, Dominika; Newton, Alice

This study presents a specifically designed Mercury module in a coupled benthic-pelagic reactive-transport model - Bottom RedOx Model (BROM) that allows to study mercury (Hg) biogeochemistry under different conditions. This module considers the transformation of elemental mercury (Hg(0)), divalent mercury (Hg(II)) and methylmercury (MeHg). The behavior of mercury species in the model is interconnected with changes of oxygen, hydrogen sulfide, iron oxides, organic matter, and biota. We simulated the transformation and transport of Hg species in the water column and upper sediment layer under five different scenarios, combining various levels of oxygenation and trophic state in the Berre lagoon, a shallow eutrophic lagoon of the French Mediterranean coast subjected to seasonal anoxia. The first scenario represents the conditions in the lagoon that are compared with experimental data. The four other scenarios were produced by varying the biological productivity, using low and high nutrient (N and P) concentrations, and by varying the redox conditions using different intensity of vertical mixing in the water column. The results of the simulation show that both oxidized and reduced sediments can accumulate Hg, but any shifts in redox conditions in bottom water and upper sediment layer lead to the release of Hg species into the water column. Eutrophication and/or restricted vertical mixing lead to reducing conditions and intensify MeHg formation in the sediment with periodic release to the water column. Oxygenation of an anoxic water body can lead to the appearance of Hg species in the water column and uptake by organisms, whereby Hg may enter into the food web. The comparison of studied scenarios shows that a well-oxygenated eutrophic system favors the conditions for Hg species bioaccumulation with a potential adverse effect on the ecosystem. The research is relevant to the UN Minimata convention, EU policies on water, environmental quality standards and Mercury in particular.

Frontiers Media S.A.

2018

Modeling the radiative impact of mineral dust during the Saharan Dust Experiment (SHADE) campaign.

Myhre, G.; Grini, A.; Haywood, J.M.; Stordal, F.; Chatenet, B.; Tanré, D.; Sundet, J.K, Isaksen, I.S.A.

2003

Modeling the Time-Variant Dietary Exposure of PCBs in China over the Period 1930 to 2100

Zhao, Shizhen; Breivik, Knut; Jones, Kevin C; Sweetman, Andrew J

This study aimed for the first time to reconstruct historical exposure profiles for PCBs to the Chinese population, by examining the combined effect of changing temporal emissions and dietary transition. A long-term (1930–2100) dynamic simulation of human exposure using realistic emission scenarios, including primary emissions, unintentional emissions, and emissions from e-waste, combined with dietary transition trends was conducted by a multimedia fate model (BETR-Global) linked to a bioaccumulation model (ACC-HUMAN). The model predicted an approximate 30-year delay of peak body burden for PCB-153 in a 30-year-old Chinese female, compared to their European counterpart. This was mainly attributed to a combination of change in diet and divergent emission patterns in China. A fish-based diet was predicted to result in up to 8 times higher body burden than a vegetable-based diet (2010–2100). During the production period, a worst-case scenario assuming only consumption of imported food from a region with more extensive production and usage of PCBs would result in up to 4 times higher body burden compared to consumption of only locally produced food. However, such differences gradually diminished after cessation of production. Therefore, emission reductions in China alone may not be sufficient to protect human health from PCB-like chemicals, particularly during the period of mass production. The results from this study illustrate that human exposure is also likely to be dictated by inflows of PCBs via the environment, waste, and food.

2018

Modellberegninger av SO2 og metallavsetning i grenseområdene Norge - Russland. NILU OR

Bekkestad, T.; Knudsen, S.; Johnsrud, M.; Larsen, M.

1994

Modelled concentrations of criteria air pollutants in Dhaka and Chittagong, PM10, PM2,5, NOx, and SOx for 2013 and 2020. NILU OR

Randall, S.; Sivertsen, B.; Ahammad, Sk. S.; Cruz, N.D.

Air pollution concentrations were estimated the dispersion models as well as the emissions inventories compiled in AirQUIS for Dhaka and Chittagong. Meteorological data were generated from TAPM. Concentration plots for PM10, PM2.5 and SO2 and NO2 were presented for both cities. A scenario for 2020 was developed based on a combination of projected mitigation measures and sector growth based on GDP and population growth rates. In addition, health impacts were assessed based on methodologies from previous studies performed in Asia.
Results show that in general the PM2.5 and PM10 concentration distributions are closely linked to the emissions from brick kilns in the Dhaka area, while in Chittagong the impacts are more spread between the urban sources, brick, and industry and traffic sources. Results also show that PM10 and PM2.5 concentrations exceeds annual limit values, and that the dry season is most critical when it comes to high concentrations of PM10 and PM2.5.

2014

Modelled radiative forcing of the direct aerosol effect with multi-observation evaluation.

Myhre, G.; Berglen, T.F.; Johnsrud, M.; Hoyle, C.R.; Berntsen, T.K.; Christopher, S.A.; Fahey, D.W.; Isaksen, I.S.A.; Jones, T.A.; Kahn, R.A.; Loeb, N.; Quinn, P.; Remer, L.; Schwarz, J.P.; Yttri, K.E.

2009

Modelled sources of airborne microplastics collected at a remote Southern Hemisphere site

Aves, Alex; Ruffell, Helena; Evangeliou, Nikolaos; Gaw, Sally; Revell, Laura E.

Airborne microplastics have emerged in recent years as ubiquitous atmospheric pollutants. However, data from the Southern Hemisphere, and remote regions in particular, are sparse. Here, we report airborne microplastic deposition fluxes measured during a five-week sampling campaign at a remote site in the foothills of the Southern Alps of New Zealand. Samples were collected over 24-hour periods for the first week and for 7-day periods thereafter. On average, atmospheric microplastic (MP) deposition fluxes were six times larger during the 24-hour sampling periods (150 MP m−2 day−1) than during the 7-day sampling periods (26 MP m−2 day−1), highlighting the importance of sampling frequency and deposition collector design to limit particle resuspension. Previous studies, many of which used weekly sampling frequencies or longer, may have substantially underestimated atmospheric microplastic deposition fluxes, depending on the study design. To identify likely sources of deposited microplastics, we performed simulations with a global dispersion model coupled with an emissions inventory of airborne microplastics. Modelled deposition fluxes are in good agreement with observations, highlighting the potential for this method in tracing sources of deposited microplastics globally. Modelling indicates that sea-spray was the dominant source when microplastics underwent long-range atmospheric transport, with a small contribution from road dust.

Elsevier

2024

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