Agriculture is the major contributor of nitrogen to ecosystems, both by organic and inorganic fertilizers. Percolation of nitrate to groundwater and further transport to surface waters is assumed to be one of the major pathways in the fate of this nitrogen. The quantification of groundwater and associated nitrate flux to streams is still challenging. In particular because we lack understanding of the spatial distribution and temporal variability of groundwater and associated NO3- fluxes. In this preliminary study we will focus on the identification and quantification of groundwater and associated nitrate fluxes by combining high resolution distributed fiber-optic temperature sensing (DTS) with in situ UV photometry (ProPS). DTS is a new technique that is capable to measure temperature over distances of km with a spatial resolution of ca1 m and an accuracy of 0.01 K. It has been applied successfully to identify and quantify sources of groundwater discharge to streams. ProPS is a submersible UV process photometer, which uses high precision spectral analyses to provide single substance concentrations, in our case NO3-, at minute intervals and a detection limit of less than 0.05 mg l-1 (ca.0.01 mg NO3--Nl-1). We will conduct field experiments using artificial point sources of lateral inflow to test DTS and ProPS based quantification approaches and estimate their uncertainty. The selected study area is the Schwingbach catchment in Hessen, Germany, which has a good monitoring infrastructure. Preliminary research on hydrological fluxes and field observations indicate that the catchment favors the intended study.
Zur Lösung von Fluss- und reaktiven Transportgleichungen in heterogenen Grundwassersystemen werden neue Global Random Walk (GRW) Algorithmen entwickelt und implementiert, die stabil und frei von numerischer Diffusion sind. Um das Auftreten von Interpolationsfehlern zu vermeiden, wird ein integriertes GRW-Lösungsverfahren entwickelt, das Geschwindigkeiten und Konzentrationen auf dem selben regulären Gitter berechnet. Wir nutzen grobkörnige (engl. Coarse grained) (CG) Mittelwerte in Raum und Zeit über die Trajektorien der berechneten Partikel, die die Konzentrationen der reaktiven chemischen Spezies in den GRWSimulationen beschreiben. Diese werden genutzt, um eine kontinuierliche Beschreibung der Transportprozesse zu erhalten. Nachdem die Mittelungsprozedur die Variation der simulierten Konzentrationen reduziert, genügt eine relativ kleine Anzahl von Monte Carlo - Simulationen, um die statistischen Kennzahlen zu gewinnen, und gleichzeitig der Auswirkung der Raum-Zeit-Skalen der hydrologischen Beobachtungen Rechnung zu tragen. Des weiteren können lokale Bilanzgleichungen für die CG Raum-Zeit-Mittel genutzt werden, um die hochskalierten Diffusionskoeffizienten und Reaktionsterme zu berechnen.
Atmosphärische Partikel enthalten innerhalb ihrer organischen Fraktion einen bedeutenden Anteil sogenannter 'huminähnlicher' Verbindungen (humic like substances, HULIS). Zur chemischen Zusammensetzung dieser Fraktion ist nur relativ wenig bekannt. Trenntechniken wie Umkehrphasenchromatographie oder Kapillarelektrophorese erlauben keine umfassende Trennung dieser komplex zusammengesetzten Fraktion, weshalb im vorliegenden Projekt die Anwendung einer 2-dimensionalen Trennung nach Polarität (Umkehrphasenchromatographie) und molekularer Größe (Größenausschlusschromatographie) vorgeschlagen wird. Die Kopplung der beiden Dimensionen soll offline geschehen und die erhaltenen Fraktionen gesammelt werden, um davon den Gesamtkohlenstoffgehalt (total organic carbon, TOC), die UV-VIS Absorption, sowie die Elementarzusammensetzung einzelner charakteristischer Substanzen mittels Flugzeitmassenspektrometrie zu bestimmen. Proben von verschieden geprägten Sammelorten (europäischer Hintergrund, asiatische Megacity, ländlich mit starkem Biomasseverbrennungseinfluss) sollen analysiert werden, um anschliessend Muster im zweidimensionalen Raum Polarität vs. Größe finden und vergleichen zu können. Weiterhin sollen die Ergebnisse der offline Charakterisierung mit (außerhalb des Projektes) gewonnenen Daten eines online-Aerosolmassenspektrometers verglichen werden. Die Ergebnisse sollen ein besseres Verständnis zu Konzentration, Zusammensetzung und möglichen Quellen der wichtigen HULIS-Fraktion atmosphärischer Partikel ermöglichen.
Halogenradikale spielen eine Schlüsselrolle in der Chemie der polaren Grenzschicht. Alljährlich im Frühjahr beobachtet man riesige Flächen von mehreren Millionen Quadratkilometern mit stark erhöhten Konzentrationen von reaktivem Brom, welches von salzhaltigen Oberflächen in der Arktis und Antarktis emittiert werden. Dieses Phänomen ist auch als Bromexplosion bekannt. Des Weiteren detektieren sowohl boden- als auch satellitengestützte Messungen signifikante Mengen von Jodoxid über der Antarktis, jedoch nicht in der Arktis. Die Gründe für diese Asymmetrie sind nach wie vor unbekannt, aber das Vorhandensein von nur wenigen ppt reaktiven Jods in der antarktischen Grenzschicht sollte einen signifikanten Einfluss auf das chemische Gleichgewicht der Atmosphäre haben und zu einer Verstärkung des durch Brom katalysierten Ozonabbaus im polaren Frühjahr haben. Der Schwerpunkt der Aktivitäten im Rahmen von HALOPOLE III wird auf der Untersuchung von wichtigen Fragestellungen liegen, die im Rahmen der Vorgängerprojekte HALOPOLE I und II im Bezug auf die Quellen, Senken und Transformationsprozesse von reaktiven Halogenverbindungen in Polarregionen aufgetreten sind. Basierend sowohl auf der synergistischen Untersuchung der bislang gewonnen Daten aus Langzeit - und Feldmessungen sowie auf neuartigen Messungen in der Antarktis sind die wesentlichen Schwerpunkte: (1) Die Untersuchung einer im Rahmen von HALOPOLE II aufgetretenen eklatanten Diskrepanz zwischen aktiven und passiven Messungen DOAS Messungen von IO. (2) Eine eingehende Analyse der DOAS Langzeitmessungen von der Neumayer Station und Arrival Heights (Antarktis) sowie Alert (Kanada) bezüglich Meteorologie, Ursprung der Luftmassen, Vertikalverteilung, sowie des Einflusses von Schnee, Meereis und Eisblumen auf die Freisetzung von reaktiven Halogenverbindungen. (3) Die Untersuchung der kleinskaligen räumlicher und zeitlichen Variation von BrO auf der Basis einer detaillierten Analyse der flugzeuggebundenen MAX-DOAS Messungen während der BROMEX 2012 Kampagne in Barrow/Alaska. (4) Die Analyse der kürzlich in der marginalen Eiszone der Antarktis auf dem Forschungsschiff Polarstern durchgeführten Messungen im Hinblick auf die horizontale und vertikale Verteilung von BrO und IO, sowie den Einfluss der Halogenchemie auf den Ozon- und Quecksilberhaushalt. (5) Weitere detaillierte Untersuchungen des Einflusses von Halogenradikalen, insbesondere Chlor und Jod, auf das chemische Gleichgewicht der polaren Grenzschicht auf der Basis einer Messkampagne in Halley Bay, Antarktis. (6) Detailliertere Langzeit-Messungen von Halogenradikalen und weiteren Substanzen auf der Neumayer Station mittels eines neuen Langpfad-DOAS Instruments welches im Rahmen dieses Projektes entwickelt wird. Zusätzlich zu den bereits existierenden MAX-DOAS Messungen werden diese eine ganzjährige Messungen des vollen Tagesganges sowie die Untersuchung nicht nur der Brom- und Jodchemie, sondern auch der Chlorchemie ermöglichen.
For surface soils, the mechanisms controlling soil organic C turnover have been thoroughly investigated. The database on subsoil C dynamics, however, is scarce, although greater than 50 percent of SOC stocks are stored in deeper soil horizons. The transfer of results obtained from surface soil studies to deeper soil horizons is limited, because soil organic matter (SOM) in deeper soil layers is exposed to contrasting environmental conditions (e.g. more constant temperature and moisture regime, higher CO2 and lower O2 concentrations, increasing N and P limitation to C mineralization with soil depth) and differs in composition compared to SOM of the surface layer, which in turn entails differences in its decomposition. For a quantitative analysis of subsoil SOC dynamics, it is necessary to trace the origins of the soil organic compounds and the pathways of their transformations. Since SOM is composed of various C pools which turn over on different time scales, from hours to millennia, bulk measurements do not reflect the response of specific pools to both transient and long-term change and may significantly underestimate CO2 fluxes. More detailed information can be gained from the fractionation of subsoil SOM into different functional pools in combination with the use of stable and radioactive isotopes. Additionally, soil-respired CO2 isotopic signatures can be used to understand the role of environmental factors on the rate of SOM decomposition and the magnitude and source of CO2 fluxes. The aims of this study are to (i) determine CO2 production and subsoil C mineralization in situ, (ii) investigate the vertical distribution and origin of CO2 in the soil profile using 14CO2 and 13CO2 analyses in the Grinderwald, and to (iii) determine the effect of environmental controls (temperature, oxygen) on subsoil C turnover. We hypothesize that in-situ CO2 production in subsoils is mainly controlled by root distribution and activity and that CO2 produced in deeper soil depth derives to a large part from the mineralization of fresh root derived C inputs. Further, we hypothesize that a large part of the subsoil C is potentially degradable, but is mineralized slower compared with the surface soil due to possible temperature or oxygen limitation.
Glendonites are pseudomorphs after the mineral ikaite (CaCO3 x 6H2O) and composed of calcite (CaCO3). In the past, they have been used as a paleo-thermometer because the primary mineral ikaite, according to observations and experiments, seems to be formed at temperatures near freezing, high alkalinity and high phosphate concentrations in marine sediments. An enigmatic occurrence of the largest glendonites known world-wide, in the Early Eocene Fur Formation of northwestern Denmark offers the unique possibility to shed more light on the actual mechanism and controlling parameters of ikaite formation. Right in the aftermath of the Paleocene-Eocene thermal maximum, a time known for its global pertubation in the global carbon cycle, the formation of authigenic calcium carbonate concretions start in the Fur Formation. In a specific stratigraphic interval inbetween these concretions, the glendonites can be found. We will investigate if termperature changes or changes in geochemical parameters of the Danish Basin caused the sudden formation of ikaite during a time interval that was based on known paleoclimatic reconstructions (semi tropic) not favorable for ikaite formation.
Although global pesticide use increases steadily, our field-data based knowledge regarding exposure of non-target ecosystems is very restricted. Consequently, this meta-analysis will for the first time evaluate the worldwide available peer-reviewed information on agricultural insecticide concentrations in surface water or sediment and test the following two hypotheses: I) Insecticide concentrations in the field largely exceed regulatory threshold levels and II) Additional factors important for threshold level exceedances can be quantified using retrospective meta-analysis. A feasibility study using a restricted dataset (n = 377) suggested the significance of the expected results, i.e. an threshold level exceedance rate of more than 50Prozent of the detected concentrations. Subsequent to a comprehensive database search in the peer-reviewed literature of the past 60 years, analysis of covariance with the relevant threshold level exceedance as the continuous dependent variable (about 10,000 cases) will be performed and the impact of significant predictor variables will be quantified. Parameters not yet considered in pesticide exposure assessment will be included as independent variables, such as compound class, environmental regulatory quality, and sampling design. The simultaneous presence of several insecticide compounds as a well as their metabolites will also be considered in the evaluation. The present approach may provide an innovative and integrated view on the potential environmental side effects of global high-intensity agriculture and in particular of pesticides use.
In subsoils, organic matter (SOM) concentrations and microbial densities are much lower than in topsoils and most likely highly heterogeneously distributed. We therefore hypothesize, that the spatial separation between consumers (microorganisms) and their substrates (SOM) is an important limiting factor for carbon turnover in subsoils. Further, we expect microbial activity to occur mainly in few hot spots, such as the rhizosphere or flow paths where fresh substrate inputs are rapidly mineralized. In a first step, the spatial distribution of enzyme and microbial activities in top- and subsoils will be determined in order to identify hot spots and relate this to apparent 14C age, SOM composition, microbial community composition and soil properties, as determined by the other projects within the research unit. In a further step it will be determined, if microbial activity and SOM turnover is limited by substrate availability in spatially distinct soil microsites. By relating this data to root distribution and preferential flow paths we will contribute to the understanding of stabilizing and destabilizing processes of subsoil organic matter. As it is unclear, at which spatial scale these differentiating processes are effective, the analysis of spatial variability will cover the dm to the mm scale. As spatial segregation between consumers and substrates will depend on the pore and aggregate architecture of the soil, the role of the physical integrity of these structures on SOM turnover will also be investigated in laboratory experiments.
Research in 'silviculture' and 'forest economics' very often takes place largely independent from each other. While silviculture predominantly focuses on ecological aspects, forest eco-nomics is sometimes very theoretic. The applied bioeconomic models often lack biological realism. Investigating mixed forests this proposal tries to improve bioeconomic modelling and optimisation under uncertainty. The hypothesis is tested whether or not bioeconomic model-ling of interacting tree species and risk integration would implicitly lead to close-to-nature forestry. In a first part, economic consequences of interdependent tree species mixed at the stand level are modelled. This part is based on published literature, an improved model of timber quality and existing data on salvage harvests. A model of survival over age is then to be developed for mixed stands. A second section then builds upon data generated in part one and concentrates on the simultaneous optimisation of species proportions and harvest-ing ages. It starts with a mean-variance optimisation as a reference solution. The obtained results are compared with data from alternative approaches as stochastic dominance, down-side risk and information-gap robustness.
Shallow groundwater of the huge deltaic systems of Asia like the Red River Delta in Vietnam is often enriched in inorganic arsenic (As), threatening the health of millions of residents. The massive abstraction of groundwater in these areas locally causes an irreversible mixing of arsenic-free groundwater resources with arsenic-rich groundwater. Increased concentrations of competitive anions, especially phosphate (PO43-), decrease the immobilization capacity of the sediments. During transport, the mobility of dissolved As in local aquifers is strongly influenced by adsorption to sedimentary and ubiquitously occurring iron(oxyhydr)oxides. Additionally, arsenic-rich groundwater is often enriched in reduced iron (Fe2+) as well, which is capable to react with iron(oxyhydr)oxides, thereby inducing mineral transformations. Such transformations permanently affect the arsenic adsorption and immobilization capacity of the sediments.Within the scope of this research project, the underlying mechanisms related to As transport and the resulting threat to arsenic-free groundwater resources will be characterized in cooperation with the Swiss Federal Institute of Aquatic Science and Technology (Eawag). The research concept aims at assessing the complex interactions within the arsenic-iron-phosphate-system under field conditions at a study site next to the Red River. First, filtration experiments using local groundwater enriched in As and PO43- will be used to determine the As adsorption capacity of different and previously geochemically characterized iron(oxyhydr)oxides. In a second step, sample carrier containing As loaded iron(oxyhydr)oxides will be introduced into surface near aquifer parts of the study site (via existing groundwater monitoring wells). These samples will be exposed to local groundwater characterized by increased As, Fe2+ and PO43- concentrations for the following nine months. Using the in situ exposition of predefined iron(oxyhydr)oxides, it will be possible to distinguish potential mineral transformations and their influences on the As immobilization capacity of the respective iron(oxyhydr)oxides. By combining the results and outcomes of the field experiments, new and important conclusions regarding the mobility of As can be drawn. The data can be used to create a hydrochemical transport model describing reactive As transport within the investigation area. In addition, the results of the in situ exposition experiments will allow to draw conclusions in respective to the long term As immobilization capacity of different iron(oxyhydr)oxides, which is an essential information regarding in situ decontamination techniques.
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