Person: Kiesow, Anja
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Veröffentlichung Kommunikationsmaterialien im europaweiten Projekt HBM4EU(2023) Kiesow, Anja; Kobosil, Nicole; Kolossa-Gehring, MarikeIm Juni 2022 schloss das Umweltbundesamt (UBA) gemeinsam mit seinen Partnerorganisationen erfolgreich das europäische Großprojekt "Human Biomonitoring for Europe" (HBM4EU) ab. Ziel der Initiative war es, ausgewählte Umweltschadstoffe innerhalb von Europa systematisch zu erfassen, zu bewerten und die Daten regulatorisch tätigen Behörden national und auf EU-Ebene und interessierten Kreisen schnell bereitzustellen. Dazu wurden erstmalig Studien und Messergebnisse aus verschiedenen europäischen Ländern harmonisiert und vergleichbar gemacht. Die Ergebnisse von HBM4EU zeigen, dass die Belastungen mit fast allen untersuchten Umweltstoffen in europäischen Bürgerinnen und Bürgern so hoch sind, dass negative gesundheitliche Auswirkungen nicht mehr mit ausreichender Sicherheit ausgeschlossen werden können oder mit einem zusätzlichen Krebsrisiko zu rechnen ist. Um ein zeitgerechtes Einspeisen der Ergebnisse in wichtige Entscheidungsprozesse aus Politik und Wissenschaft sicherzustellen, wurde der Fokus von Beginn an auf eine zielgerichtete und effiziente Kommunikations- und Verteilungsstrategie gelegt. Der folgende Artikel stellt die für verschiedene Zielgruppen entwickelten Kommunikationsmaterialien vor. Quelle: UMID : Umwelt und Mensch - Informationsdienst ; Umwelt & Gesundheit, Umweltmedizin, Verbraucherschutz / Boden- und Lufthygiene (Berlin) Institut für Wasser- - (2023), Heft 1, Seite 39Veröffentlichung European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data(2020) Petrescu, Ana Maria Roxana; Peters, Glen P.; Janssens-Maenhout, Greet; Kiesow, Anja; Günther, DirkEmission of greenhouse gases (GHGs) and removals from land, including both anthropogenic and natural fluxes, require reliable quantification, including estimates of uncertainties, to support credible mitigation action under the Paris Agreement. This study provides a state-of-the-art scientific overview of bottom-up anthropogenic emissions data from agriculture, forestry and other land use (AFOLU) in the European Union (EU281). The data integrate recent AFOLU emission inventories with ecosystem data and land carbon models and summarize GHG emissions and removals over the period 1990-2016. This compilation of bottom-up estimates of the AFOLU GHG emissions of European national greenhouse gas inventories (NGHGIs), with those of land carbon models and observation-based estimates of large-scale GHG fluxes, aims at improving the overall estimates of the GHG balance in Europe with respect to land GHG emissions and removals. Whenever available, we present uncertainties, its propagation and role in the comparison of different estimates. While NGHGI data for the EU28 provide consistent quantification of uncertainty following the established IPCC Guidelines, uncertainty in the estimates produced with other methods needs to account for both within model uncertainty and the spread from different model results. The largest inconsistencies between EU28 estimates are mainly due to different sources of data related to human activity, referred to here as activity data (AD) and methodologies (tiers) used for calculating emissions and removals from AFOLU sectors. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.3662371 (Petrescu et al., 2020). © Author(s) 2020Veröffentlichung Human risk associated with exposure to mixtures of antiandrogenic chemicals evaluated using in vitro hazard and human biomonitoring data(2023) Ma, Yanying; David, Madlen; Taxvig, Camilla; Kiesow, Anja; Rodríguez-Carrillo, Andrea; Kolossa-Gehring, Marike; Reiber, LenaBackground: Scientific evidence for underestimated toxicity from unintentional exposure to chemical mixtures is mounting. Yet, harmonized approaches on how to assess the actual risk of mixtures is lacking. As part of the European Joint programme 'Human Biomonitoring for European' we explored a novel methodology for mixture risk assessment of chemicals affecting male reproductive function. Methodology: We explored a methodology for chemical mixture risk assessment based on human in vitro data combined with human exposure data, thereby circumventing the drawbacks of using hazard data from rodents and estimated exposure intake levels. Human androgen receptor (hAR) antagonism was selected as the most important molecular initiating event linked to adverse outcomes on male reproductive health. Results: Our work identified 231 chemicals able to interfere with hAR activity. Among these were 61 finally identified as having both reliable hAR antagonist and human biomonitoring data. Calculation of risk quotients indicated that PCBs (118, 138, 157), phthalates (BBP, DBP, DIBP), benzophenone-3, PFOS, methylparaben, triclosan, some pesticides (i.e cypermethrin, Î2-endosulfan, methylparathion, p,p-DDE), and a PAH metabolite (1- hydroxypyrene) contributed to the mixture effect. The major chemical mixture drivers were PCB 118, BBP, PFOS, DBP, and the UV filter benzophenone-3, together contributing with 75% of the total mixture effect that was primarily driven by high exposure values. Conclusions: This viable way forward for mixture risk assessment of chemicals has the advantages of (1) being a more comprehensive mixture risk assessment also covering data-poor chemicals, and (2) including human data only. However, the approach is subjected to uncertainties in terms of in vitro to in vivo extrapolation, it is not ready for decision making, and needs further development. Still, the results indicate a concern for adverse effects on reproductive function in highly exposed boys, especially when considering additional exposure to data-poor chemicals and chemicals acting by other mechanisms of action. Quelle:© 2023 The Author(s)Veröffentlichung A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe(2021) Szénási, Barbara; Berchet, Antoine; Broquet, Grégoire; Kiesow, AnjaThis study aims at estimating errors to be accounted for in atmospheric inversions of methane (CH4) emissions at the European scale. Four types of errors are estimated in the concentration space over the model domain and at selected measurement sites. Furthermore, errors in emission inventories are estimated at country and source sector scales. A technically ready method is used, which is implemented by running a set of simulations of hourly CH4 mixing ratios for 2015 using two area-limited transport models at three horizontal resolutions with multiple data sets of emissions and boundary and initial conditions as inputs. The obtained error estimates provide insights into how these errors could be treated in an inverse modelling system for inverting CH4 emissions over Europe. The main results show that sources of transport errors may better be controlled alongside the emissions, which differs from usual inversion practices. The average total concentration error is estimated at 29†ppb. The assessed error of total CH4 emissions is 22% and emission errors are heterogeneous at sector (23-49%) and country scales (16-124%), with largest errors occurring in the waste sector due to uncertainties in activity data and emission factors and in Finland due to uncertainties in natural wetland emissions. © 2021 The Author(s).