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Take EU biocides legislation to the next level

There is already more than a decade of experiences with environmental risk assessment under the Biocidal Products Regulation (EU) No 528/2012 (BPR). This paper compiles recommendations to improve BPR to ensure that it reaches its goals. Experiences have shown that the processes for environmental risk assessments need to be simplified to allow for faster decisions. Also, despite first BPR environmental benefits, some biocides still enter the environment significantly, and will continue to do so due to their intended uses. Therefore, our suggestions target these two categories: “streamlining environmental risk assessments” and “reducing biocide emissions to the environment”. Veröffentlicht in Scientific Opinion Paper.

METOP GOME-2 - Sulfur Dioxide (SO2) - Global

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational SO2 total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. GDP 4.x performs a DOAS fit for SO2 slant column followed by an AMF / VCD computation using a single wavelength. Corrections are applied to the slant column for equatorial offset, interference of SO2 and SO2 absorption, and SZA dependence. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/

METOP GOME-2 - Nitrogen Dioxide (NO2) - Global

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational NO2 total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The total NO2 column is retrieved from GOME solar back-scattered measurements in the visible wavelength region (425-450 nm), using the Differential Optical Absorption Spectroscopy (DOAS) method. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/

Wertstoff-Center in Köln

<p>Abfälle können in haushaltsüblichen Mengen an diese Wertstoff-Center gebracht werden.</p> <p>Wir nehmen an:</p> <ul> <li>Sperrmüll, Elektroaltgeräte, Metalle, Papier/Pappe, Schadstoffe, Bauschutt</li> <li>Kostenlose Annahme von haushaltsüblichen Mengen an Altkleidern, CDs/DVDs, Elektro-Altgeräten, Grünschnitt, Leichtverpackungen, Metall, Papier, Pappe/Kartonagen, Schadstoffen und Sperrmüll</li> <li>Kostenpflichtige Annahme von Bauschutt in Kleinmengen (Gewerbeschadstoffe nur in Ossendorf)</li> </ul> <p>Wir nehmen nicht an:</p> <p>Asbest, Dämmmaterial, Außenhölzer, Teerpappe</p> <ul> <li>Sprengstoff, Munition</li> <li>Gasflaschen</li> <li> Infektiöses Material, Tierkadaver</li> <li> Motoren, Getriebeöle</li> <li>Gewerbeschadstoffe</li> </ul>

Digitaler Wandel beim Monitoring häufiger Brutvögel

Das Monitoring häufiger Brutvögel (MhB) ist von seinen Abläufen das komplexeste und vom Artenspektrum das umfangreichste Modul im bundesweiten Vogelmonitoring. Seit 2004 werden mit Hilfe des MhB Bestandstrends für rund 100 Vogelarten berechnet. Grundlage ist die ehrenamtliche Mitarbeit von rund 1.500 Personen, die nach vorgegebener Methode jedes Jahr und bundesweit auf mehr als 1.800 Probeflächen Brutvogelkartierungen durchführen. Seit 2020 werden Datenerfassung und -auswertung schrittweise digitalisiert. Ziel der Digitalisierung ist es, die ehrenamtlichen Kartiererinnen und Kartierer und die Koordinatorinnen und Koordinatoren durch Vereinfachung und Automatisierung von Arbeitsabläufen zu entlasten, die Datenqualität zu erhöhen, Datenformate und Ergebnisse stärker zu standardisieren und somit eine schnellere Bereitstellung der Resultate zu ermöglichen. Dabei sollte der Übergang in das digitale Zeitalter so gestaltet werden, dass alle Ehrenamtlichen mitgenommen werden sowie dass es durch die Digitalisierung der Datenerfassung und Revierauswertung nicht zu einem Bruch mit der bestehenden Datenreihe kommt. Um diesen Herausforderungen zu begegnen, wurde die Transformation mit Umfragen unter den Ehrenamtlichen und mit Methodenvergleichen eng begleitet. Im Fokus des Beitrags stehen die neuen digitalen Werkzeuge NaturaList, Digibird und Autoterri, die speziell für die Anforderungen des MhB und die Bedürfnisse der Kartiererinnen und Kartierer entwickelt wurden. Mit der neu entwickelten MhB-Kartieroberfläche der App NaturaList können Beobachtungen im Gelände direkt digital erfasst werden. Für Ehrenamtliche, die im Gelände weiterhin mit Stift und Papier arbeiten möchten, bietet Digibird die Möglichkeit, Papierkarten zu digitalisieren. Anschließend werden die digital erfassten Beobachtungsdaten gemäß den geltenden MhB-Regeln durch den Algorithmus Autoterri zu Revieren zusammengefasst. Der Artikel stellt die neuen Werkzeuge detailliert vor und evaluiert, inwieweit die angestrebten Ziele erreicht wurden.

Recommendations towards the EU Plastics Strategy

Kurzbeschreibung Die Interest Group Plastics (IG Plastics) ist eine europäische Arbeitsgruppe des Netzwerks der Europäischen Umweltämter (http://epanet.pbe.eea.europa.eu/). Fokus der interdisziplinären Arbeit ist die Vermeidung landbasierter Kunststoffeinträge in die Umwelt. 2017 hat die Gruppe ein Papier mit sieben Empfehlungen zur Ende 2017 erwarteten EU Plastics Strategy entwickelt (http://epanet.pbe.eea.europa.eu/fol249409/ig-plastics/recommendations-towards-eu-plastics-strategy), das am 8.6.2017 in Brüssel im Rahmen einer Konferenz vorgestellt und diskutiert wurde. Die Konferenz wurde in Zusammenarbeit mit dem EPA-Netzwerk, der Europäischen Kommission (DG ENV) und dem UBA Österreich organisiert. Auf Maßnahmenseite wurden insbesondere Recycling und Pfandsysteme angesprochen. Ergebnisse Diskussionspapier ,,Recommendations towards the EU Plastics Strategy", Conference Paper

Carbonate chemistry from laboratory incubation experiments using water samples from the Elbe conducted in 2023

This dataset comprises key carbonate chemistry parameters measured and calculated in incubation experiments under different experimental conditions. pH, water temperature, and salinity were measured with a WTW multimeter (MultiLine® Multi 3630 IDS). Total alkalinity was determined by open-cell titration with an 888 Titrando (Metrohm). Saturation state of calcite and aragonite were calculated using phreeqpython, a Python wrapper of the PhreeqC engine (Vitens 2021) with pH, water temperature, total alkalinity, and major ions as major input, and phreeqc.dat as database for the thermodynamic data (Parkhurst and Appelo 2013). As the original Elbe water was supersaturated with carbon dioxide (CO2) with respect to the atmosphere, its partial pressure of CO2 (pCO2) level decreased during the incubation period with open flasks, which caused an adjustment of calcite saturation state (ΩC) for ambient air conditions. To adapt for the impact of pCO2 variations during the experiment, saturation state of calcite and aragonite was calculated assuming an equilibrium with an atmospheric pCO2 of 415 ppm (normalized ΩC and normalized aragonite sautration state ΩA). Since ion concentrations were measured for only a small number of samples, the ion concentrations of the remaining samples were reconstructed using stoichiometry based on the initial solution composition and total alkalinity. The concentrations of conservative ions (Na+, K+, Cl-, SO42-) were assumed remain constant, while ions related to carbonate precipitation (Ca2+, Mg2+) were calculated based on changes in measured alkalinity (see Figure 5 of the associated paper). Detailed analysis and calculation procedures are described in the Method section of the associated paper.

Navigation Lock Filling - Modeled Geometry and Physical Model Measurement Data

Navigation Lock Filling - Modeled Geometry and Physical Model Measurement Data This data set provides the geometry files and physical model measurement data for the filling process of a large navigation lock with a ship in the lock chamber from a water saving basin. The measured data contains water levels, pressure differences, forces on the ship and the opening height of the valves. The lock consists of a lock chamber with a pressure chamber underneath. Both chambers are hydraulically connected with vertical cylindrical filling nozzles inside the floor between both chambers. The three lateral saving basins are connected to the pressure chamber via two lateral culverts each of smoothly varying rectangular shape. Each saving basin has two of these connecting culverts. A vertical lifting valve in each culvert allows the controlled filling operation from the saving basins into the pressure chamber. In the experiment, the lock chamber is filled from the lowest saving basin. The physical model was constructed at a scale of 1:25. The provided data (geometry and model test results) is scaled to prototype scale by Froude's similitude. The data was used in the following publication: Thorenz, C., Schulze, L. (2021): Numerical Investigations of Ship Forces During Lockage. Journal of Coastal and Hydraulic Strucures. Please cite the paper when using the data.

Ship Wave Measurements in German Coastal Waterways from 1998 to 2022

This dataset contains in-situ measurements of ship-generated wave heights and currents collected during 14 campaigns from 1998 to 2022 in German coastal waterways. It includes 81,092 filtered datapoints (from an initial 97,877) across 46 measurement stations in 28 cross-sections, with 23 unique locations, some of which were repeated after a certain time. Each wave event is linked to the ship and nautical parameters responsible for its generation. A more detailed metadata description for each campaign is attached to the dataset. Citation for this data set: Seemann, A.; Melling, G. (2024): Ship Wave Measurements in German Coastal Waterways from 1998 to 2022 [Data set], DOI: https://doi.org/10.48437/42c292-ebac3d Data Descriptor Paper: Seemann, A., Melling, G. Measurement of ship-generated waves in German coastal waterways from 1998–2022. Sci Data 12, 54 (2025). https://doi.org/10.1038/s41597-024-04299-5

Global particulate organic carbon flux derived from Th-234: 13 ocean regions, 3 export depths

The 234Th–238U disequilibrium technique has been widely used to estimate the amount of particulate organic carbon (POC) exported from surface ocean layers to the deep sea. This method is based on determining 234Th fluxes from vertical 234Th–238U profiles in the water column and converting them into POC fluxes using POC/234Th ratios measured in sinking particles at a given calculation depth. We present here an extensive repository of POC fluxes, together with Th fluxes and POC/234Th ratios. Covering all the global ocean, classified in 13 regions, season and moment of the bloom and calculated at three different depths: i) a fixed depth (100 m) ii) the reference depth in the paper associated to the base of the euphotic zone iii) the 234Th–238U equilibrium depth. To ensure a compilation representative of the global ocean, the dataset were selected using the division areas proposed by the international network JETZON (Joint Exploration of the Twilight Zone Ocean Network); that agreed a division of the oceans in 13 regions based on their contrasted physics and biogeochemical characteristics. The stations from 234Th publications associated to each JETZON region were carefully selected according to their ability to represent regional environmental conditions. Furthermore, station selection was based on essential criteria such as data quality and accessibility, availability of time series, clear definition of export depth, measurements from established programs, e.g. GEOTRACES, and the presence of other additional relevant ancillary data. The data in the compilation are thus organized by region and include geographic coordinates, season, selected export depth, and other key factors (such as a description of the flux evaluation depth or the export depth zone). After 234Th–238U compilation, 234Th fluxes were calculated, when possible, at the three different depths, i), ii) and iii), under the assumption of steady-state conditions, following Le Moigne et al. 2013. Using POC/234Th ratios, POC fluxes are estimated from Th fluxes and both fluxes were included in the repository. POC/234Th ratios were chosen from pump samples, prioritizing particles larger than 53 μm when available. These ratios must be estimated at the flux calculation depth [i), ii) and iii)]. When they were not available at the calculation depth POC/234Th values were interpolated as described in the readme text file. The values of the ratios are included in the repository, specifying the depth at which they were determined and indicating whether they have been interpolated. Similarly, when 234Th, 238U concentrations were not available at the calculation depth, values were interpolated (see readme text file).

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