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Bewertung des Einflusses von Emissionen und Rueckstaenden auf Umwelt und Gesundheit

Es steht im Interesse der Umweltforschung und Umwelterziehung Vorurteile ueber Belastungen durch Emissionen und Rueckstaende aus Braunkohlekraftwerken kritisch zu hintertragen und an einfachen Modell-Systemen Schad- und Nutzwirkungen von Kraftwerksreststoffen (Braunkohlenasche und Rauchgasgips) zu erfassen (Ziel). Es wird davon ausgegangen, dass bei einer richtigen Verwendung (Recycling) durchaus positive Wirkungen auf Umwelt und Gesundheit zu erwarten sind (Hypothese). Als Ergebnis ist festzustellen, dass mit einer Kombination von Braunkohlenasche und Rauchgasgips eine Verbesserung von sauren Boeden und des Pflanzenwachstums, sowie eine Behebung von Mangelsituationen an Spurenelementen (Bor, Selen, Molybdaen, u.a.) bei sachgerechter Anwendung moeglich ist (Ergebnis).

The gravimetric quasi-geoid of Santa Cruz Province based on FFT with modified Stokes kernel: UNPAQG_FFT_2025

UNPAQG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding UNPA, an International Height Reference Frame (IHRF) station located in the Province of Santa Cruz, Argentina, covering latitudes 54°S to 50°S and longitudes 72°W to 66°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 740. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification of Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 81 GNSS/leveling points yielded an estimated precision of 0.092 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

Forschergruppe (FOR) 1525: INUIT - Ice Nuclei research UnIT, Screening und Charakterisierung biologischer Eiskeime und Untersuchung deren Einflusses auf die Eiskeimaktivität von Boden-und Mineralstaub

Mikroorganismen sind im Boden, in kryptogamen Gemeinschaften und in der Atmosphäre von zentraler Bedeutung. Verschiedene Spezies von Bakterien, Pilzen, Flechten und Pollen wurden bereits als Eiskeime, welche eine Eisbildung bei relativ hohen Temperaturen initiieren können, identifiziert, und besonders biologische Bestandteile aus dem Boden sind eine vermutlich bedeutsame Quelle atmosphärischer Eiskeime. Die genauen Quellen biologischer Eiskeime in der Atmosphäre sind jedoch kaum bekannt, obwohl ein potentieller Beitrag dieser, zur Eis- und Niederschlagsbildung mittlerweile von verschiedenen Studien untermauert wird. Aktuelle Untersuchungen verschiedener Boden- und Luftproben zeigen Hinweise, dass verschiedene eisaktive Pilze unterschiedlicher Phyla nicht nur im Boden und in der Luft vorhanden sind, sondern auch häufig in der kultivierbaren Fraktion vorkommen können. Aus diesem Grund befasst sich das vorgeschlagene Projekt mit der Suche nach weiteren bisher unbekannten eisaktiven Mikroorganismen und Bestandteilen aus dem Boden, von Pflanzen und kryptogamen Gemeinschaften und mit der Erforschung ihres Einflusses auf die Eiskeimaktivität des Bodens. Die nötigen Methoden für ein Screening verschiedenster Kulturen z.B. von Cyanobakterien sind in unserem Labor gut etabliert. Zudem sollen die jeweiligen Eiskeime der neu gefundenen eisaktiven Organismen auf molekularer Ebene charakterisiert werden.

Concentrations and loadings of alkanes in surface sediments of Helgoland Mud Area in the North Sea

Surface sediment were extracted 4 times by ultrasonication with dichloromethane: methanol (9:1, v/v) for 15 min for FAs and alkanes. For quantification of FAs and alkanes, known amounts of 19-methylarachidic acid and squalane were added as internal standards prior to extraction. Supernatants from each extraction were obtained by centrifugation and combined. The total lipid extracts were concentrated and evaporated under a nitrogen stream. The total lipid extracts were saponified for 2 h at 80 °C with 1 mL of KOH (0.1 M) in methanol: H2O (9:1, v/v). After saponification, the neutral fractions were liquid-liquid extracted with n-hexane and alkanes were eluted from the neutral fractions by silica gel column chromatography with n-hexane. The remaining KOH solution was acidified to pH 1, from which FA were liquid-liquid extracted into dichloromethane. The extracted and dried FAs were converted to methyl ester derivatives (FAMEs) in methanol: HCl (95:5, v/v) at 60 °C for 12 h. After methylation, the FAME fraction was further purified by silica gel column chromatography using dichloromethane: hexane (2:1, v/v) to remove residual polar compounds. FAMEs and alkanes were analyzed on a 7890A gas chromatograph (GC) equipped with a DB-5MS fused silica capillary column (60 m, 250 µm, 0.25 µm) and a flame ionization detector (FID). Peak areas were determined by integrating the respective peaks and concentrations were calculated against the internal standards. FAME contents were subsequently corrected for the derivative methyl carbon to determine FA contents. FAs and alkanes were normalized to OC content.

Concentrations and loadings of fatty acids in surface sediments of Helgoland Mud Area in the North Sea

Surface sediment were extracted 4 times by ultrasonication with dichloromethane: methanol (9:1, v/v) for 15 min for FAs and alkanes. For quantification of FAs and alkanes, known amounts of 19-methylarachidic acid and squalane were added as internal standards prior to extraction. Supernatants from each extraction were obtained by centrifugation and combined. The total lipid extracts were concentrated and evaporated under a nitrogen stream. The total lipid extracts were saponified for 2 h at 80 °C with 1 mL of KOH (0.1 M) in methanol: H2O (9:1, v/v). After saponification, the neutral fractions were liquid-liquid extracted with n-hexane and alkanes were eluted from the neutral fractions by silica gel column chromatography with n-hexane. The remaining KOH solution was acidified to pH 1, from which FA were liquid-liquid extracted into dichloromethane. The extracted and dried FAs were converted to methyl ester derivatives (FAMEs) in methanol: HCl (95:5, v/v) at 60 °C for 12 h. After methylation, the FAME fraction was further purified by silica gel column chromatography using dichloromethane: hexane (2:1, v/v) to remove residual polar compounds. FAMEs and alkanes were analyzed on a 7890A gas chromatograph (GC) equipped with a DB-5MS fused silica capillary column (60 m, 250 µm, 0.25 µm) and a flame ionization detector (FID). Peak areas were determined by integrating the respective peaks and concentrations were calculated against the internal standards. FAME contents were subsequently corrected for the derivative methyl carbon to determine FA contents. FAs and alkanes were normalized to OC content.

The gravimetric quasi-geoid of Buenos Aires Province based on FFT with modified Stokes kernel: AGGOQG_FFT_2025

AGGOQG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding AGGO and LPGS, two International Height Reference Frame (IHRF) stations located in the Province of Buenos Aires, Argentina, covering latitudes 36°S to 31°S and longitudes 61°W to 55°W, with a 0.03° grid resolution. The purpose of the modelis to determine the IHRF vertical coordinate at these stations. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 600. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification of Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 111 GNSS/leveling points yielded an estimated precision of 0.063 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

Butterfly weight data from lower mountain range regions in southwest Germany

The dataset contains mean masses of butterfly species and different noctuid moth size classes collected between end of May and beginning of September 2020 using different Malaise traps in three low mountain range regions in Germany: Hunsrueck (National Park Hunsrueck-Hochwald), Spessart (Rhine-Main-Observatory) and Steigerwald. The butterflies were stored in alcohol after their capture and were weighed with a precision scale (0.001 g) after shaking them briefly to remove residual alcohol. Part of the specimen collected was used for DNA-metabarcoding. The other part was deposited in the specimen collection of the Environmental Campus Birkenfeld (Trier University of Applied Sciences).

The gravimetric quasi-geoid of San Juan Province based on Least Squares Collocation: OAFAQG_LSC_2025

OAFAQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding OAFA and UNSJ, two International Height Reference Frame (IHRF) stations located in the Province of San Juan, Argentina, covering latitudes 34°S to 30°S and longitudes 70.5°W to 65.5°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at these stations. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 840. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 188 GNSS/leveling points yielded an estimated precision of 0.172 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

The gravimetric quasi-geoid of Tierra del Fuego Province based on FFT with modified Stokes kernel: RIO2QG_FFT_2025

RIO2QG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding RIO2, an International Height Reference Frame (IHRF) station located in the Province of Tierra del Fuego, Argentina, covering latitudes 56°S to 51°S and longitudes 71°W to 64°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 700. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification to Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 41 GNSS/leveling points yielded an estimated precision of 0.061 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.

Biochemischer Abbau von Pflanzenbestandteilen und Umwandlung in die organische Substanz des Bodens

a) Pflanzeninhaltsstoffe wie Zellulose, Lignin und Protein sind Ausgangsstoffe der organischen Bodensubstanz. Die Kenntnis ihrer Umwandlung zu Huminstoffen ist eine wichtige Grundlage zur Erhaltung der Bodenfruchtbarkeit. Die Untersuchungen werden mit Pflanzenrueckstaenden, aber auch mit einzelnen Bestandteilen von Pflanzen oder Mikroorganismen durchgefuehrt. b) Synthese oder Gewinnung von Inhaltsstoffen und Pflanzen oder Mikroorganismen markiert durch die Isotope 14C, 15N oder 35S. Verfolgung des Abbaues und der Umwandlung im Boden oder durch bestimmte Mikroorganismen. Untersuchung der neugebildeten Huminstoffe hinsichtlich ihrer Isotopen-Verteilung und der weiteren Transformation und Mineralisation der markierten Bestandteile. c) Es handelt sich hierbei um langfristige Untersuchungen, die zum Teil in Zusammenarbeit mit in- und auslaendischen Forschungseinrichtungen durchgefuehrt werden.

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