Doctoral Thesis
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Institute
- Fachbereich 7 (93)
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Abdriftbedingte Pflanzenschutzmittelrückstände in unbehandelten Kulturen auf angrenzenden Flächen
(2020)
Die vorliegende Arbeit beschäftigt sich mit der Abdrift von Pflanzenschutzmitteln (PSM), die auf Lebensmittelkulturen in angrenzenden Flächen, insbesondere in benachbarte Haus- und Kleingärten, gelangt. In einer Reihe von Windtunnelversuchen wurde die Abdrift von PSM aus Flächen- und Raumkulturen während der Applikation mit zwei verschiedenen Testsystemen nachgestellt. Das Testsystem Flächenkultur simuliert die Applikation auf Flächenkulturen, das Testsystem Raumkultur die auf Raumkulturen. Auf der Nicht-Zielfläche wurden die auf Grund von Abdrift entstandenen Rückstände des verwendeten Tracers Pyranin nach der Applikation entfernungsabhängig auf den Lebensmittelkulturen Kopfsalat, Erdbeeren und Tomaten gemessen. Durch die gleichzeitige Messung der Bodendeposition konnten die Messwerte mit Hilfe von Regressionsgleichungen (R² = 0,88 bis 0,97) in Bezug zu den Abdrifteckwerten (AEW) gebracht werden. Dadurch war es möglich, erste Abschätzungen der Höhe von Rückständen vorzunehmen, die über Abdrift von landwirtschaftlichen Flächen auf benachbarte Lebensmittelkulturen im Freiland gelangen können. Diese Abschätzung ist zunächst limitiert auf die drei Versuchspflanzen. Die Versuche zeigen, dass sich die meisten durch Abdrift entstehenden Rückstände auf Salatköpfen wieder finden, gefolgt von Erdbeeren und Tomaten.
Neben dem experimentellen Teil wurden Analysen mit Geoinformationssystemen (GIS) durchgeführt, um die Nachbarschaftsverhältnisse zwischen landwirtschaftlich genutzten Flächen und Gartenflächen für ganz Deutschland und speziell für Rheinland-Pfalz (RLP) zu analysieren. Dazu wurden für die deutschlandweiten Berechnungen die Daten des amtlichen topographisch-kartographischen Informationssystems (ATKIS) und für die RLP-weiten Berechnungen die Daten des amtlichen Liegenschaftskatasterinformationssystem (ALKIS) verwendet. Beachtet werden muss, dass auf Grund der Datenbeschaffenheit eine Abgrenzung der Gartenflächen zu Wohnflächen nicht möglich ist. Deutschlandweit liegen etwa 1,1 % aller potentiellen Gartenflächen innerhalb eines 5 m Pufferbereichs um Raumkulturen bzw. innerhalb eines 2 m Pufferbereichs um Flächenkulturen. Für RLP sind es 0,75 %. Mit Hilfe eines Landbedeckungsdatensatzes der Fa. RLP AgroScience GmbH und den ALKIS-Daten konnte jedoch die exakte Gartenfläche für RLP auf 47.437 ha bestimmt werden. Basierend auf dieser Datengrundlage liegen 1,2 % der Gartenfläche von RLP innerhalb der genannten Pufferbereiche. Des Weiteren ergaben Berechnungen, dass 3 % der Gärten in RLP direkt angrenzend zu landwirtschaftlich genutzten Flächen liegen.
Im Rahmen dieser Arbeit wurden nicht nur Gärten betrachtet, die an landwirtschaftliche Flächen grenzen, sondern auch Nachbarschaftsverhältnisse zwischen ökologisch und konventionell bewirtschafteten Flächen untersucht. Diese Berechnungen erfolgten mit den Daten des Integrierten Verwaltungs- und Kontrollsystems (InVeKoS). Insgesamt grenzen in RLP 47,1 % aller ökologisch bewirtschafteten Flächen unmittelbar an konventionell bewirtschaftete Flächen an.
This thesis examined two specific cases of point and diffuse pollution, pesticides and salinisation, which are two of the most concerning stressors of Germany’s freshwater bodies. The findings of this thesis were organized into three major components, of which the first component presents the contribution of WWTPs to pesticide toxicity (Chapter 2). The second component focuses on the current and future background salt ion concentrations under climate change with the absence of anthropogenic activities (Chapter 3). Finally, the third major component shows the response of invertebrate communities in terms of species turnover to levels of salinity change, considered as a proxy for human-driven salinisation (Chapter 4).
Spektroskopie zweiatomiger Moleküle bei Einstrahlung ultrakurzer Laserpulse und ihre Anwendung
(2020)
Even with moderate pulse energies and average powers, ultrashort pulse lasers achieve very high peak powers, whose effect on matter is fundamentally different from that of other light sources. The high electric field strength does not only cause an increase of optically nonlinear effects such as second harmonic generation, but it is also responsible for the “cold“ ablation, which leads to colder plasmas. An investigation of these two circumstances in terms of a simplification of the pulse duration measurement and an improvement of the molecular formation in cooling plasmas is the topic of this work. In this context, it is shown that when selecting suitable process parameters, especially when purposefully defocusing the medium, the use of ultrashort pulse lasers improves the spectroscopy of several emitting molecules such as aluminum oxide. Therefore, their detection is possible even without the time-resolving spectrometers required in literature. In addition, ultrashort pulses enable spatially resolved crystallization of zinc oxide on zinc surfaces prepared by basic means. The resulting wurtzites usually align their c-axis approximately perpendicular to the underlying surface and can be used to generate scattered second harmonics. Fiber-based femtosecond lasers with pulse energies in the microjoule range, pulse durations of a few 100fs and very low maintenance requirements have proven to be a powerful instrument for these purposes. For measuring the pulse duration, the high pulse energy also enables the usage of frequency doublers with much lower conversion eciencies. Despite nonuniform crystal axes, the scattering second harmonic generating aluminum nitride has proven to be particularly suitable for optical autocorrelation. Compared to the commonly used monocrystalline beta-barium borate, the sintered aluminum nitride ceramic plates facilitate the adjustment, simplify the material handling and reduce the expenses by two to three orders of magnitude. The method developed in this work is therefore also suitable for confirmatory measurements of the pulse duration during the production process of such systems – especially when the occurring pulse energies are high or rather too high for beta-barium borate.
In the context of augmented reality we define tracking as a collection of methods to obtain the position and orientation (pose) of a user. By means of various displaying techniques, this ensures a correct visual overlay of graphical information onto the reality perceived. Precise results for calculation of the camera pose are gained by methods of image processing, usually analyzing the pixels of an image and extracing features, which can be recognized over the image sequence. However, these methods do not regard the process of image synthesis or at least in a very simplyfied way. In contrast, the class of model-based methods assumes a given 3D model of the observed scene. Based on the model data features can be identified to establish correspondences in the camera image. From these feature correspondences the camera pose is calculated. An interesting approach is the strategy of analysis-by-synthesis, regarding the computer graphics rendering process for extending the knowledge about the model by information from image synthesis and other environment variables.
In this thesis the components of a tracking system are identified and further it is analyzed, to what extend information about the model, the rendering process and the environment can contribute to the components for improvement of the tracking process using analysis-by-synthesis. In particular, by using knowledge as topological information, lighting or perspective, the feature synthesis and correspondence finding should lead to visually unambiguous features that can be predicted and evaluated to be suitable for stable tracking of the camera pose.
This dissertation presents the application of the molecular LIBS method, a novelapproach of Laser-Induced Breakdown Spectroscopy (LIBS), to optimize the detection of pitting chlorides in concrete structures, which are e.g. contaminated bydeicing salt in winter. Potentiometric titration as the standard method for chloride determination in building material analysis is costly and time-consuming. Ithas the decisive disadvantage that the determination of chloride concentrationis based on the total mass of the concrete and not on the cement content asrequired by the European standard EN 206. The imaging capabilities of LIBS forphase separation of the concrete meet this requirement. LIBS was already usedby BAM in 1998 in building material analysis, but the detection of chlorides withLIBS requires expensive helium purging and spectrometers outside the visiblespectral range to detect emissions of atomic chlorine. The approach of molecular LIBS is to quantify the emission of chloride-containing molecular radicalsformed during the cooling phase of the laser-induced plasma. The advantagescompared to conventional LIBS method are the emission in the visible spectralrange and the applicability without noble gas purging. In this thesis the influenceof the experimental components on the time behaviour of the relevant molecularemission bands is investigated, signal deviations due to plasma fluctuations aresignificantly reduced and for plasma analysis the molecular formation is simulated on atomistic scales and compared with standard methods. In simultaneousmeasurements, atomic and molecular Cl emission are directly compared and the quantification is optimized by data combination. Molecular LIBS will be extended to a quantifying and imaging method that can detect chlorides withoutnoble gas purging.
Microbial pollution of surface waters poses substantial risks for public health, amongst others during recreational use. Microbial pollution was studied at selected sampling sites in rivers Rhine, Moselle and Lahn (Germany) on the basis of commonly used fecal indicator organisms (FIO) indicating bacterial (Escherichia coli, intestinal enterococci) and viral (somatic coliphages) fecal contamination. In addition, blaCTX-Mantibiotic resistance genes (ARG) were quantified at twosites in river Lahn and were used as markers for tracking the spread of antibiotic resistance in the aquatic environment. The impact of changes in climate-related parameters on FIO was examined by studying monitoring results of contrasting flow conditions at rivers Rhine and Moselle. Analyses at all studied river sites clearly indicate that high discharge and precipitation enhance the influx of FIO, ARG and thus potentially (antibiotic resistant) pathogens into rivers. In contrast, a decrease in hygienic microbial pollution was observed under high solar irradiation and increasing water temperatures. Based on identified contributing key factors, multiple linear regression (MLR) models for five sites at a stretch of river Lahn were established that allow a timely assessment of fecal indicator abundances. An interaction between abiotic and biotic factors (i.e. enhanced grazing pressure) considerably contributed to the formation of seasonal patterns among FIO abundances. This was enhanced during extraordinary low flow conditions in rivers with pronounced trophic interactions, clearly hampering a transfer of model approaches between rivers of different biological and hydrological characteristics. Bacterial indicatorswere stronger influenced by grazing pressure than phages. Hence, bacterial indicators alone do not sufficiently describe viral pollution in rivers. BlaCTX-Mgenes were omnipresent in Lahn River water and corresponded to distribution patterns of FIO, indicating fecal sources. Agriculture and waste watertreatment plant effluents contributed to ARG loads and participants in non-bathing water sports were found to be at risk of ingesting antibiotic resistant bacteria (ARB) including ARG, bearing the risk of infection or colonization. Results of the present study highlight the need to be aware of such risks not only in designated bathing waters. ARG abundance at both riverine sampling sites could largely be explained by E. coliabundance and may thus also be incorporated into multiple regression models using E. colispecific environmental predictors. It can be expected that the frequency of short-term microbial pollution events will increase over the next decades due to climate change. Several challenges were identified with regard to the implementation of early warning systems to protect the public from exposure to pathogens in rivers. Most importantly, the concept of the Bathing Water Directive (Directive 2006/7/EC) itself as well as the lack of harmonization in the regulatory framework at European Union (EU) level are major drawbacks and require future adjustments to reliably manage health risks related to microbial water pollution in waters used in multifunctional ways.
Stream ecosystems are one of the most threatened ecosystems worldwide due to their exposure to diverse anthropogenic stressors. Pesticides appear to be the most relevant stressor for agricultural streams. Due to the current mismatch of modelled and measured pesticide concentrations, monitoring is necessary to inform risk assessment or improve future pesticide approvals. Knowing if biotic stress responses are similar across large scales and long time frames could ultimately help in estimating protective stressor thresholds.
This thesis starts with an overview of entry pathways of pesticides to streams as well as the framework of current pesticide monitoring and gives an outline of the objectives of the thesis. In chapter 2, routine monitoring data based on grab sampling from several countries is analysed to identify the most frequently occurring pesticide mixtures. These mixtures are comprised of relatively low numbers of pesticides, of which herbicides are dominating. The detected pesticide mixtures differ between regions and countries, due to differences in the spectrum of analysed compounds and limits of quantification. Current routine monitoring does not include sampling during pesticide peaks associated with heavy rainfall events which likely influences the detected pesticide mixtures. In chapter 3, sampling rates of 42 organic pesticides for passive sampling are provided together with recommendations for the monitoring of field-relevant peaks. Using this information, in chapter 4 a pesticide gradient is established in an Eastern European region where agricultural intensity adjacent to sampled streams ranges from low to high. In contrast to current routine monitoring, rainfall events were sampled and a magnitude of pesticides were analysed. This led to the simultaneous detection of numerous pesticides of which one to three drive the pesticide toxicity. The toxicity, however, showed no relationship to the agricultural intensity. Using microcosms, the stress responses of fungal communities, the hyphomycetes, and the related ecosystem function of leaf decomposition, is investigated in chapter 5. Effects of a field-relevant fungicide mixture are examined across three biogeographical regions for three consecutive cycles of microbial leaf colonisation and decomposition. Despite different initial communities, stress responses as well as recoveries were similar across biogeographical regions, indicating a general pattern.
Overall, this thesis contributes to an improved understanding of occurrence and concentrations of pesticides mixtures in streams, their monitoring and impact on an ecosystem function. We showed that estimated pesticide toxicities reach levels that affect non-target organisms and thereby potentially whole ecosystems. Routine monitoring, however, likely underestimates the threat by pesticides. Effects leading to a loss in biodiversity or functions in streams ecosystems can be reduced by reassessing approved pesticides with ongoing targeted monitoring and increased knowledge of effects caused by these pesticides.
In dieser Arbeit werden die schottischen Liedbearbeitungen Ludwig van Beethovens auf ihre möglichen gälischen Vorläufer untersucht und in ihrem historischen Kontext aus einer gälischen Perspektive betrachtet. Ihre Liedbiographien werden um Vorläufer ergänzt und vervollständigt, die vom dem schottischen Auftraggeber Beethovens, George Thomson teilweise vorsätzlich unterschlagen wurden. Gründe hierfür sind in der politischen und kulturellen Unterdrückung der gälischen Sprachgemeinschaft Schottlands zu finden. Handelt es sich wirklich um anonyme Volkslieder, oder auch um Kompositionen bekannter Musiker aus der gälischen Kultur? Welche Veränderungen erfuhren sie im Zuge der Anonymisierung und der Degradierung zur Volksmusik, sowie der anschließenden Neuausrichtung in der schottischen Nationalmusik? Zu 12 der schottischen Lieder Beethovens sind ausführliche Liedbiographien mit allen gälischen Liedtexten, deutscher Übersetzung und den historischen Hintergründen der gälischen Vorläufer und ihrer Notierungen entstanden.
Bio-medical data comes in various shapes and with different representations.
Domain experts use such data for analysis or diagnosis,
during research or clinical applications. As the opportunities to obtain
or to simulate bio-medical data become more complex and productive,
the experts face the problem of data overflow. Providing a
reduced, uncluttered representation of data, that maintains the data’s
features of interest falls into the area of Data Abstraction. Via abstraction,
undesired features are filtered out to give space - concerning the
cognitive and visual load of the viewer - to more interesting features,
which are therefore accentuated. To address this challenge, the dissertation
at hand will investigate methods that deal with Data Abstraction
in the fields of liver vasculature, molecular and cardiac visualization.
Advanced visualization techniques will be applied for this purpose.
This usually requires some pre-processing of the data, which will also
be covered by this work. Data Abstraction itself can be implemented
in various ways. The morphology of a surface may be maintained,
while abstracting its visual cues. Alternatively, the morphology may
be changed to a more comprehensive and tangible representation.
Further, spatial or temporal dimensions of a complex data set may
be projected to a lower space in order to facilitate processing of the
data. This thesis will tackle these challenges and therefore provide an
overview of Data Abstraction in the bio-medical field, and associated
challenges, opportunities and solutions.
The European landscape is dominated by intensive agriculture which leads to widespread impact on the environment. The frequent use of agricultural pesticides is one of the major causes of an ongoing decline in flower-visiting insects (FVIs). The conservation of this ecologically diverse assemblage of mobile, flying insect species is required by international and European policy. To counteract the decrease in species numbers and their abundances, FVIs need to be protected from anthropogenic stressors. European pesticide risk assessment was devised to prevent unacceptable adverse consequences of pesticide use on FVIs. However, there is an ongoing discussion by scientists and policy-makers if the current risk assessment actually provides adequate protection for FVI species.
The first main objective of this thesis was to investigate pesticide impact on FVI species. The scientific literature was reviewed to identify groups of FVIs, summarize their ecology, and determine their habitat. This was followed by a synthesis of studies about the exposure of FVIs in their habitat and subsequent effects. In addition, the acute sensitivity of one FVI group, bee species, to pesticides was studied in laboratory experiments.
The second main objective was to evaluate the European risk assessment for possible deficits and propose improvements to the current framework. Regulatory documents were screened to assess the adequacy of the guidance in place in light of the scientific evidence. The suitability of the honey bee Apis mellifera as the currently only regulatory surrogate species for FVIs was discussed in detail.
The available scientific data show that there are far more groups of FVIs than the usually mentioned bees and butterflies. FVIs include many groups of ecologically different species that live in the entire agricultural landscape. Their habitats in crops and adjacent semi-natural areas can be contaminated by pesticides through multiple pathways. Environmentally realistic exposure of these habitats can lead to severe effects on FVI population parameters. The laboratory studies of acute sensitivity in bee species showed that pesticide effects on FVIs can vary greatly between species and pesticides.
The follow-up critical evaluation of the European FVI risk assessment revealed major shortcomings in exposure and effect assessment. The honey bee proved to be a sufficient surrogate for bee species in lower tier risk assessment. Additional test species may be chosen for higher tier risk assessment to account for ecological differences. This thesis shows that the ecology of FVIs should generally be considered to a greater extent to improve the regulatory process. Data-driven computational approaches could be used as alternative methods to incorporate ecological trait data in spatio-temporal scenarios. Many open questions need to be answered by further research to better understand FVI species and promote necessary changes to risk assessment. In general, other FVI groups than bees need to be investigated. Furthermore, comprehensive data on FVI groups and their ecology need to be collected. Contamination of FVI habitat needs to be linked to exposure of FVI individuals and ecologically complex effects on FVI populations should receive increased attention. In the long term, European FVI risk assessment would benefit from shifting its general principles towards more scientifically informed regulatory decisions. This would require a paradigm shift from arbitrary assumptions and unnecessarily complicated schemes to a substantiated holistic framework.