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Labordatenverarbeitungssystem Umweltuntersuchungen

Labordatenverarbeitungssystem Umweltuntersuchungen mit Daten zu den Umweltmedien Wasser, Boden, Luft und Abfall. Anorg., org., mikrobiolog. Analyseergebnisse von Grund-, Trink- und Brauchwasser, Oberflächengewässern, Abwasser, Deponieflächen. Untersuchungsdaten zu Boden- und Abfallbelastung: bodenkundliche, sensorische, physikalische, chemische und biologische Daten einschließlich der Daten des ehemaligen Dioxinkatasters DIXI. Ergebnisse diskontinuierlicher Messungen von gas- und staubförmigen Bestandteilen in der Außenluft; Depositionsmessungen, Untersuchung von Hausstaubproben. Jährlich wechselnde Messprogramme in unterschiedlichen Gebieten von Hamburg Messdaten, Probenbegleitdaten, Projektbegleitdaten, Stammdaten von Firmen, Objekten, Gewässern, Deponien, Messstellen.

Trifluoracetat (TFA): Herkunft und Belastungen (Applikation)

Trifluoracetat (TFA) ist ein Abbauprodukt vieler verschiedener Stoffe, unter anderem verschiedener Pflanzenschutzmittel und Kältemittel. TFA selbst wird jedoch in der Umwelt nicht weiter abgebaut. Als sehr persistente und in Gewässern hochmobile Substanz reichert es sich im Wasserkreislauf an und lässt sich auf technischem Wege auch in der Trinkwasseraufbereitung kaum entfernen. TFA stellt deshalb trotz seiner toxikologischen Unauffälligkeit eine Herausforderung für Trinkwasserressourcenschutz sowie allgemeinen Gewässerschutz dar.

Microbial community composition and bacterioplankton at time series station Helgoland Roads, North Sea

A process of global importance in carbon cycling is the remineralization of algae biomass by heterotrophic bacteria, most notably during massive marine algae blooms. Such blooms can trigger secondary blooms of planktonic bacteria that consist of swift successions of distinct bacterial clades, most prominently members of the Flavobacteriia, Gammaproteobacteria and the alphaproteobacterial Roseobacter clade. This study explores such successions during spring phytoplankton blooms in the southern North Sea (German Bight) for four consecutive years. The surface water samples were taken at Helgoland Island about 40 km offshore in the southeastern North Sea in the German Bight at the station 'Kabeltonne' (54° 11.3' N, 7° 54.0' E) between the main island and the minor island, Düne (German for 'dune') using small research vessels (http://www.awi.de/en/expedition/ships/more-ships.html). Water depths at this site fluctuate from 6 to 10 m over the tidal cycle. Samples were processed as described previously (Teeling et al., 2012; doi:10.7554/eLife.11888.001) in the laboratory of the Biological Station Helgoland within less than two hours after sampling. Assessment of absolute cell numbers and bacterioplankton community composition was carried out as described previously (Thiele et al., 2011; doi:10.1016/B978-0-444-53199-5.00056-7). To obtain total cell numbers, DNA of formaldehyde fixed cells filtered on 0.2 mm pore sized filters was stained with 4',6-diamidino-2-phenylindole (DAPI). Fluorescently labeled cells were subsequently counted on filter sections using an epifluores-cence microscope. Likewise, bacterioplankton community composition was assessed by catalyzedreporter deposition fluorescence in situ hybridization (CARD-FISH) of formaldehyde fixed cells on 0.2 mm pore sized filters.

Luftqualitätsdaten (Datenstrom D) - Beurteilungsmethoden 2022 (INSPIRE View/WMS)

Datenstrom D umfasst alle Informationen zu den Beurteilungsmethoden.

REVEALS reconstruction of past vegetation cover with optimized RPP values for European samples

This data set presents the reconstructed vegetation cover for 1451 European sites based on harmonized pollen data from the data set LegacyPollen 2.0 and optimized RPP values. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by taking into account taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were also calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. In this optimized reconstruction, relative pollen productivity estimates for the ten most common taxa were first optimized by using reconstructed tree cover from modern pollen samples and LANDSAT remotely sensed tree cover (Sexton et al. 2013) for Europe. Values for non-optimized taxa for relative pollen productivity and fall speed were taken from the synthesis from Wiezcorek and Herzschuh (2020). The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with optimized reconstructed vegetation cover for all records in Europe. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.

Intensives Waldmonitoring ( IWM , Level II )

Das ICP-Forests-Programm agiert im Rahmen des UNECE-Übereinkommens über weiträumige grenzüberschreitende Luftverunreinigungen (Genfer Luftreinhaltekonvention, CLRTAP). Das Level-II-Monitoring ergänzt seit 1995 das Level-I-Monitoring. Hier werden Daten über Baumwachstum, Bodenvegetation, Bodenlösung, Bodenfestphase, nasse Deposition, Luftqualität, meteorologische Parameter, Phänologie, Streufall, Nadel- / Blattanalysen und sichtbare Ozonschäden erhoben, die umfänglich und hinsichtlich ihrer zeitlichen Auflösung weit über den Erhebungsrahmen des extensiven Waldmonitorings (Level I) hinausgehen. Die Daten werden in Deutschland auf ca. 50 - 90 Plots (Anzahl variiert je nach Parameter) erhoben. Verteilung Probenahmestandorte: Verteilung systematisch, so dass die Hauptwaldtypen Europas repräsentiert sind (kein Raster) Probenahmemethode: Die Probenahme für chemische Analysen erfolgt grundsätzlich nach Tiefenstufen. Satellitenbeprobung im Radius von 25 m mit einem inneren intensiver zu beprobenden Radius von 3 m. Für alle anderen Erhebungen ausführliche Angaben im ICP-Forests-Manual: https://www.icp-forests.net/monitoring-and-research/icp-forests-manual Entnahmetiefen: 0 bis 10 cm 20 bis 40 cm 40 bis 80 cm Untersuchungsmethode: Analysemethoden sind einheitlich festgelegt im ICP-Forests-Manual (s.o.). Untersuchungshäufigkeit: - bodenchemische Parameter alle 10 Jahre - Boden-Lösung fortlaufend - Blattnährstoffgehalte alle 2 Jahre - Baumdurchmesser und -höhen alle 5 Jahre - Boden-Vegetation mindestens alle 5 Jahre - atmosphärische Deposition fortlaufend - Bedingungen der Umgebungsluft fortlaufend - meteorologische Parameter fortlaufend - Phänologie mehrmals pro Jahr - Streufall fortlaufend - sichtbare Ozonschäden einmal pro Jahr - Kronenzustand jährlich Arbeitsgruppen / Gremien: - Expert Panel on soil and soils solution - Forest Soil Coordination Centre - Expert Panel on foliage and litterfall - Forest Foliar Coordinating Centre - Expert Panel on forest growth - Expert Panel on deposition - Working Group on ambient air quality - Expert Panel on crown condition - Ad hoc group on assessment of biotic damage causes - Expert panel on meteorology and phenology - Expert panel on biodiversity and ground vegetation - Quality Assurance Committee - Project Coordinating Group (PCG) - Scientific Advisory Group (SAG)

Diskontinuierliche Luftqualitätsdaten im Land Brandenburg

Die im Land Brandenburg diskontinuierlich über Probenahme und Laboranalytik ermittelten Luftqualitätswerte werden in Exceltabellen erfasst, archiviert und fortgeschrieben. Die Überwachung der Luftqualität entsprechend gesetzlich vorgegebener Grenzwerte wird dadurch ergänzend gewährleistet.

Messungen in der Außenluft (Staub, Gas)

Diskontinuierliche Messungen von gas- und staubförmigen Bestandteilen in der Außenluft. Depositionsmessungen, Untersuchung von Hausstaubproben, jährlich wechselnde Messprogramme in unterschiedlichen Gebieten von Hamburg.

Luftqualitätsdaten (Datenstrom D) - Beurteilungsmethoden 2018 (Datensatz)

Datenstrom D umfasst die Metainformationen zu den gebietsbezogenen Beurteilungsmethoden, die sich aus dem Beurteilungsregime (Datenstrom C) ergeben. Für die ortsfesten und orientierenden Messungen sind das stoffspezifisch die Metainformationen zu den Messstationen, wie Name, Code, Messkonfiguration, Stationsklassifikation, Datenqualitätsziele usw. Die Verknüpfung zu den Beurteilungsgebieten (Datenstrom B) erfolgt über die Koordinaten der Messstationen.

Schwerpunktprogramm (SPP) 1158: Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; Bereich Infrastruktur - Antarktisforschung mit vergleichenden Untersuchungen in arktischen Eisgebieten, Investigation of mechanism driving glacial/interglacial variability in stratification/mixing and biological productivity of the Pacific Southern Ocean and potential implications on air-sea CO2-exchange: synthesis of climate and ocean biogeochemical modeling with paleoceanographic reconstructions

Atmospheric CO2 concentrations present a repetitive pattern of gradual decline and rapid increase during the last climate cycles, closely related to temperature and sea level change. During the Last Glacial Maximum (LGM; 23-19 kyr BP), when sea level was ca. 120 m below present, the ocean must have stored additionally about 750 Gt carbon. There is consensus that the Southern Ocean represents a key area governing past and present CO2 change. The latter is not only of high scientific but also of socio-economic and political concern since the Southern Ocean provides the potential for an efficient sink of anthropogenic carbon. However, the sensitivity of this carbon sink to climate-change induced reorganizations in wind patterns, ocean circulation, stratification, sea ice extent and biological production remains under debate. Models were not yet able to reproduce the necessary mechanisms involved, potentially due to a lack of the dynamic representation/resolution of atmospheric and oceanic circulation as well as missing carbon cycling. Data on past Southern Ocean hydrography and productivity are mainly from the Atlantic sector, thus do not adequately document conditions in the Pacific sector. This sector is not only the largest part of the Southern Ocean, but it also represents the main drainage area of the marine-based West Antarctic Ice Sheet (WAIS). In the proposed study we aim to generate paleo-data sets with a newly established proxy method from sediment core transects across the Pacific Southern Ocean. This will enhance the baselines for the understanding and modeling of the Southern Ocean's role in carbon cyling, i.e. ocean/atmosphere CO2 exchange and carbon sequestration. It will also allow insight into the response of the WAIS to past warmer than present conditions. Paired isotope measurements (oxygen, silicon) will be made on purified diatoms and radiolarians to describe glacial/interglacial contrasts in physical and nutrient properties at surface and subsurface water depth. This will be used to test (i) the impact of yet unconsidered dust-borne micronutrient deposition on the glacial South Pacific on shifts of primary productivity, Si-uptake rates and carbon export, (ii) the 'silicic-acid leakage' hypothesis (SALH) and (iii) the formation and extent of surface water stratification. Diatom and radiolarian oxygen isotopes will provide information on the timing of surface ocean salinity anomalies resulting from WAIS melt water. Climate model simulations using a complex coupled atmosphere ocean general circulation model (AOGCM) in combination with a sophisticated ocean biogeochemical model including Si-isotopes will be used for comparison with the paleo records. The analysis will cover spatial as well as temporal variability patterns of Southern Ocean hydrography, nutrient cycling and air-sea CO2-exchange. With the help of the climate model we aim to better separate and statistically analyse the individual impacts of ocean circulation and bio

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