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Veröffentlichung Burden of disease due to ambient particulate matter in Germany - explaining the differences in the available estimates(2022) Kienzler, Sarah; Plaß, Dietrich; Schuster, Christian; Tobollik, Myriam; Wintermeyer, DirkAmbient particulate matter (PM2.5) pollution is an important threat to human health. The aim of this study is to estimate the environmental burden of disease (EBD) for the German population associated with PM2.5 exposure in Germany for the years 2010 until 2018. The EBD method was used to quantify relevant indicators, e.g., disability-adjusted life years (DALYs), and the life table approach was used to estimate the reduction in life expectancy caused by long-term PM2.5 exposure. The impact of varying assumptions and input data was assessed. From 2010 to 2018 in Germany, the annual population-weighted PM2.5 concentration declined from 13.7 to 10.8 (micro)g/m3. The estimates of annual PM2.5-attributable DALYs for all disease outcomes showed a downward trend. In 2018, the highest EBD was estimated for ischemic heart disease (101.776; 95% uncertainty interval (UI) 62,713-145,644), followed by lung cancer (60,843; 95% UI 43,380-79,379). The estimates for Germany differ from those provided by other institutions. This is mainly related to considerable differences in the input data, the use of a specific German national life expectancy and the selected relative risks. A transparent description of input data, computational steps, and assumptions is essential to explain differing results of EBD studies to improve methodological credibility and trust in the results. Furthermore, the different calculated indicators should be explained and interpreted with caution. 2022 by the authorsVeröffentlichung Toward an adequate level of detail in flood risk assessments(2023) Sieg, Tobias; Kienzler, Sarah; Vogel, Kristin; Rust, HenningFlood risk assessments require different disciplines to understand and modelthe underlying components hazard, exposure, and vulnerability. Manymethods and data sets have been refined considerably to cover more details ofspatial, temporal, or process information. We compile case studies indicatingthat refined methods and data have a considerable effect on the overall assess-ment of flood risk. But are these improvements worth the effort? The adequatelevel of detail is typically unknown and prioritization of improvements in aspecific component is hampered by the lack of an overarching view on floodrisk. Consequently, creating the dilemma of potentially being too greedy or toowasteful with the resources available for a risk assessment. A "sweet spot" between those two would use methods and data sets that cover all relevantknown processes without using resources inefficiently. We provide three keyquestions as a qualitative guidance toward this "sweet spot".For quantitativedecision support, more overarching case studies in various contexts are neededto reveal the sensitivity of the overall flood risk to individual components. Thiscould also support the anticipation of unforeseen events like the flood event inGermany and Belgium in 2021 and increase the reliability of flood riskassessments. © 2023 The AuthorsVeröffentlichung Disease costs due to outdoor ambient particulate matter pollution in Germany, 2018(2023) Kienzler, Sarah; Plaß, Dietrich; Tobollik, Myriam; Wintermeyer, DirkVeröffentlichung Quantifying the environmental burden of disease for children and adolescents in Germany(2023) Kienzler, Sarah; Plaß, Dietrich; Tobollik, Myriam; Wintermeyer, Dirk