Person: Meier, Christiane
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Meier
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Christiane
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Veröffentlichung Schadstoffe aus kommunalen Kläranlagen(2021) Fuchs, Stephan; Toshovski, Snezhina; Meier, Christiane; Sacher, Frank; Pohl, Korinna; Ullrich, AntjeÜber das kommunale Abwassersystem wird eine Vielzahl von Stoffen in die Gewässer eingetragen. In einem von den Bundesländern und dem Bundesministerium für Umwelt, Naturschutz und nukleare Sicherheit finanzierten und koordiniert durchgeführten Untersuchungsprogramm wurden 49 Kläranlagen und ausgewählte Regenwasserbehandlungsanlagen auf prioritäre Stoffe und Biozid-Wirkstoffe untersucht. Ziel war die Schaffung einer validen Datenbasis zur Beurteilung der Relevanz urbaner Abwasserflüsse als Eintragspfade für Schadstoffe in die Gewässer. Die insgesamt 77 Stoffe waren unterschiedlich häufig im Ablauf der Kläranlagen und Regenwasserbehandlungsanlagen zu finden. Für 30 Stoffe konnten mittlere Ablaufkonzentrationen bestimmt und deutschlandweit anwendbare Emissionsfaktoren zur Quantifizierung der Stoffeinträge aus kommunalen Kläranlagen in die Gewässer abgeleitet werden. Quelle: In: Korrespondenz Abwasser, Abfall : KA ; Organ der DWA. - 68 (2021), Heft 5, Seite 357Veröffentlichung The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry(2022) Taha, Hiba Mohammed; Aalizadeh, Reza; Alygizakis, Nikiforos A.; Koschorreck, Jan; Meier, Christiane; Neumann, Michael; Schliebner, Ivo; von der Ohe, Peter C.Background The NORMAN Association (https://www.norman-network.com/) initiated the NORMAN Suspect List Exchange (NORMAN-SLE; https://www.norman-network.com/nds/SLE/) in 2015, following the NORMAN collaborative trial on non-target screening of environmental water samples by mass spectrometry. Since then, this exchange of information on chemicals that are expected to occur in the environment, along with the accompanying expert knowledge and references, has become a valuable knowledge base for "suspect screening" lists. The NORMAN-SLE now serves as a FAIR (Findable, Accessible, Interoperable, Reusable) chemical information resource worldwide. Results The NORMAN-SLE contains 99 separate suspect list collections (as of May 2022) from over 70 contributors around the world, totalling over 100,000 unique substances. The substance classes include per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, pesticides, natural toxins, high production volume substances covered under the European REACH regulation (EC: 1272/2008), priority contaminants of emerging concern (CECs) and regulatory lists from NORMAN partners. Several lists focus on transformation products (TPs) and complex features detected in the environment with various levels of provenance and structural information. Each list is available for separate download. The merged, curated collection is also available as the NORMAN Substance Database (NORMAN SusDat). Both the NORMAN-SLE and NORMAN SusDat are integrated within the NORMAN Database System (NDS). The individual NORMAN-SLE lists receive digital object identifiers (DOIs) and traceable versioning via a Zenodo community (https://zenodo.org/communities/norman-sle), with a total of > 40,000 unique views, > 50,000 unique downloads and 40 citations (May 2022). NORMAN-SLE content is progressively integrated into large open chemical databases such as PubChem (https://pubchem.ncbi.nlm.nih.gov/) and the US EPA's CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard/), enabling further access to these lists, along with the additional functionality and calculated properties these resources offer. PubChem has also integrated significant annotation content from the NORMAN-SLE, including a classification browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101). Conclusions The NORMAN-SLE offers a specialized service for hosting suspect screening lists of relevance for the environmental community in an open, FAIR manner that allows integration with other major chemical resources. These efforts foster the exchange of information between scientists and regulators, supporting the paradigm shift to the "one substance, one assessment" approach. New submissions are welcome via the contacts provided on the NORMAN-SLE website (https://www.norman-network.com/nds/SLE/). © The Authors 2022Veröffentlichung A multi-environmental tracer study to determine groundwater residence times and recharge in a structurally complex multi-aquifer system(2020) Wilske, Cornelia; Suckow, Axel; Meier, Christiane; Mallast, UlfDespite being the main drinking water resource for over 5 million people, the water balance of the Eastern Mountain Aquifer system on the western side of the Dead Sea is poorly understood. The regional aquifer consists of fractured and karstified limestone - aquifers of Cretaceous age, and it can be separated into a Cenomanian aquifer (upper aquifer) and Albian aquifer (lower aquifer). Both aquifers are exposed along the mountain ridge around Jerusalem, which is the main recharge area. From here, the recharged groundwater flows in a highly karstified aquifer system towards the east and discharges in springs in the lower Jordan Valley and Dead Sea region. We investigated the Eastern Mountain Aquifer system for groundwater flow, groundwater age and potential mixtures, and groundwater recharge. We combined 36Cl†â ̆Cl, tritium, and the anthropogenic gases SF6, CFC-12 (chlorofluorocarbon) and CFC-11, while using CFC-113 as "dating" tracers to estimate the young water components inside the Eastern Mountain Aquifer system. By application of lumped parameter models, we verified young groundwater components from the last 10 to 30 years and an admixture of a groundwater component older than about 70 years. Concentrations of nitrate, simazine (pesticide), acesulfame K (ACE-K; artificial sweetener) and naproxen (NAP; drug) in the groundwater were further indications of infiltration during the last 30 years. The combination of multiple environmental tracers and lumped parameter modelling helped to understand the groundwater age distribution and to estimate recharge despite scarce data in this very complex hydrogeological setting. Our groundwater recharge rates support groundwater management of this politically difficult area and can be used to inform and calibrate ongoing groundwater flow models. © Author(s) 2020