17 research outputs found

    3D architecture of cyclic-step and antidune deposits in glacigenic subaqueous fan and delta settings: Integrating outcrop and ground-penetrating radar data

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    Bedforms related to supercritical flows are increasingly recognised as important constituents of many depositional environments, but outcrop studies are commonly hampered by long bedform wavelengths and complex three-dimensional geometries. We combined outcrop-based facies analysis with ground-penetrating radar (GPR) surveys to analyse the 3D facies architecture of subaqueous ice-contact fan and glacifluvial delta deposits. The studied sedimentary systems were deposited at the margins of the Middle Pleistocene Scandinavian ice sheets in Northern Germany. Glacifluvial Gilbert-type deltas are characterised by steeply dipping foreset beds, comprising cyclic-step deposits, which alternate with antidune deposits. Deposits of cyclic steps consist of lenticular scours infilled by backset cross-stratified pebbly sand and gravel. The GPR sections show that the scour fills form trains along the delta foresets, which can locally be traced for up to 15 m. Perpendicular and oblique to palaeoflow direction, these deposits appear as troughs with concentric or low-angle cross-stratified infills. Downflow transitions from scour fills into sheet-like low-angle cross-stratified or sinusoidally stratified pebbly sand, deposited by antidunes, are common. Cyclic steps and antidunes were deposited by sustained and surge-type supercritical density flows, which were related to hyperpycnal flows, triggered by major meltwater discharge or slope-failure events. Subaqueous ice-contact fan deposits include deposits of progradational scour fills, isolated hydraulic jumps, antidunes and (humpback) dunes. The gravel-rich fan succession consists of vertical stacks of laterally amalgamated pseudo-sheets, indicating deposition by pulses of waning supercritical flows under high aggradation rates. The GPR sections reveal the large-scale architecture of the sand-rich fan succession, which is characterised by lobe elements with basal erosional surfaces associated with scours filled with backsets related to hydraulic jumps, passing upwards and downflow into deposits of antidunes and (humpback) dunes. The recurrent facies architecture of the lobe elements and their prograding and retrograding stacking pattern are interpreted as related to autogenic flow morphodynamics

    Economic Assessment of Autonomous Electric Microtransit Vehicles

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    There is rapidly growing interest in autonomous electric vehicles due to their potential in improving safety, accessibility, and environmental outcomes. However, their market penetration rate is dependent on costs. Use of autonomous electric vehicles for shared-use mobility may improve their cost competitiveness. So far, most of the research has focused on the cost impact of autonomy on taxis and ridesourcing services. Singapore is planning for island-wide deployment of autonomous vehicles for both scheduled and on-demand services as part of their transit system in the year 2030. TUMCREATE developed an autonomous electric vehicle concept, a microtransit vehicle with 30-passenger capacity, which can complement the existing bus transit system. This study aims to determine the cost of autonomous electric microtransit vehicles and compare them to those of buses. A total cost of ownership (TCO) approach was used to compare the lifecycle costs. It was shown that although the acquisition costs of autonomous electric vehicles are higher than those of their conventional counterparts, they can reduce the TCO per passenger-km up to 75% and 60% compared to their conventional counterparts and buses, respectively. Document type: Articl

    Über die Frequenzabhängigkeit elektrischer Bodeneigenschaften und ihr Einfluss auf das Bodenradar

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    Ground-Penetrating Radar (GPR) is sensitive to changes of electrical soil properties. These properties can become strongly frequency-dependent, even so they are considered constant in many applications. Analysis of radargrams provided evidence that radar waves propagating in moist loamy and clayey soils underlie strong absorption and dispersion effects. The energy absorption together with the wavelet distortion can reach a degree that even shallow buried objects, as for instance in case of landmine or utility detection, cannot be detected by GPR. In this context, the question on the physical origin and extent of individual dielectric relaxation and conduction mechanisms arose and how they affect GPR. Furthermore, the demand for a prognosis facility emerged to predict the GPR performance with respect to the soil. As the topic has barely been analyzed in the past, the study aims to fill this gap using a combination of field measurements, extensive laboratory investigations and numerical simulations with a variety of soils. To address the causes of absorption and dispersion, electrical properties of soils in the GPR frequency range were analyzed using dielectric spectroscopy. The different electrical loss-mechanisms were separated from each other by fitting a generalized dielectric response model to the data. The very broadband distribution of low-frequency relaxations showed severe impact on GPR especially in moist clayey soils. In order to resolve the relaxation parameters of these processes, the high-frequency dielectric spectroscopy data were combined with low frequency Spectral Induced Polarization (SIP). A combined permittivity and conductivity model (CPCM) was developed that enables to accurately explain the extraordinary large spectrum. Based on dielectric spectroscopy data of the soils, an extensive GPR simulation study was carried out. The measured frequency-dependent electrical soil properties were incorporated into a FDTD code using a multi-relaxation term decomposition. The simulations showed that in dispersive soils a precise description of the electrical soil parameters is essential in order to produce realistic results. Simplified assumptions can only be made for sandy soils. As a practical result of this thesis, a method is presented that enables to predict the GPR performance in the field using a conventional moisture sensor. The method is based on the time-domain reflectometry (TDR) principle and incorporates not only losses due to the dc-conductivity, but also dielectric relaxation losses in the soil.Das Georadar (GPR) ist sensitiv gegenüber Änderungen der elektrischen Bodeneigenschaften. Hierbei können diese Eigenschaften stark von der Frequenz abhängen, obwohl sie bei vielen Anwendungen als konstant angenommen werden. Bei der Auswertung von Radargrammen konnte nachgewiesen werden, dass die Ausbreitung von Radarwellen in feuchten, tonhaltigen und schluffigen Böden starken Absorptions- und Dispersionseffekten unterliegt. Die Energieabsorption in Verbindung mit der Verzerrung des Nutzsignals kann dabei so stark werden, dass selbst oberflächennah vergrabene Objekte, wie zum Beispiel im Falle der Detektion von Landminen- oder von Versorgungsleitungen, mit Hilfe des GPRs nicht mehr detektiert werden können. In diesem Zusammenhang kommt die Frage über den physikalischen Ursprung und das Ausmaß der einzelnen dielektrischen Relaxations- und elektrischen Leitungsmechanismen auf und in wieweit diese das GPR beeinflussen. Zusätzlich besteht der Bedarf einer Prognosemöglichkeit, um die GPR Performance in Abhängigkeit vom Boden zu beurteilen. Da dieses Gebiet in der Vergangenheit nur unzureichend analysiert wurde, versucht diese Arbeit dazu beizutragen, die Lücke durch eine Kombination aus Feldmessungen, umfangreichen Labormessungen und numerischen Simulationen an einer Vielzahl von Böden zu schließen. Um den Ursachen der Absorption und Dispersion auf den Grund zu gehen, wurden die elektrischen Eigenschaften von Böden mit Hilfe der dielektrischen Spektroskopie im Frequenzbereich des GPRs untersucht. Durch Anpassen eines generalisierten dielektrischen Antwortmodells an die Daten konnten die unterschiedlichen elektrischen Verlustmechanismen voneinander getrennt werden. Die sehr breitbandige Verteilung niederfrequenter Relaxationen zeigte speziell bei feuchten und tonhaltigen Böden einen starken Einfluß auf die GPR Performance. Um die Relaxationsparameter dieser Prozesse näher aufzulösen, wurden die hochfrequenten Daten der dielektrischen Spektroskopie mit niederfrequenten Messungen der Spektralen Induzierten Polarisation (SIP) kombiniert. Ein kombiniertes Permittivitäts- und Leitfähigkeitsmodel (CPCM) wurde entwickelt, welches ermöglicht, das außergewöhnlich große Spektrum präzise zu beschreiben. Basierend auf der dielektrischen Spektroskopie der Böden, wurde eine umfassende Studie mit GPR Simulationen durchgeführt. Die frequenzabhängigen elektrischen Bodeneigenschaften wurden mit Hilfe einer Zerlegung in Multi-Relaxationsterme in einem FDTD Code berücksichtigt. Die Simulationen deuten darauf hin, dass in dispersiven Böden eine genaue Beschreibung der elektrischen Bodenparameter unumgänglich ist, um realistische Ergebnisse zu erhalten. Vereinfachte Annahmen können lediglich für sandige Böden getroffen werden. Als praktisches Resultat stellt diese Arbeit ein Verfahren vor, welches die Vorhersage der GPR Performance mit Hilfe eines konventionellen Feuchtigkeitssensors im Feld erlaubt. Die Methode basiert auf dem Prinzip der Zeitbereichs-Reflektometrie (TDR) und bezieht nicht nur Gleichstromverluste, sondern ebenso Verluste aufgrund dielektrischer Relaxationen im Boden mit ein

    From exploration to operation: research developments in deep geothermal energy

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    International audienc

    Economic Assessment of Autonomous Electric Microtransit Vehicles

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    There is rapidly growing interest in autonomous electric vehicles due to their potential in improving safety, accessibility, and environmental outcomes. However, their market penetration rate is dependent on costs. Use of autonomous electric vehicles for shared-use mobility may improve their cost competitiveness. So far, most of the research has focused on the cost impact of autonomy on taxis and ridesourcing services. Singapore is planning for island-wide deployment of autonomous vehicles for both scheduled and on-demand services as part of their transit system in the year 2030. TUMCREATE developed an autonomous electric vehicle concept, a microtransit vehicle with 30-passenger capacity, which can complement the existing bus transit system. This study aims to determine the cost of autonomous electric microtransit vehicles and compare them to those of buses. A total cost of ownership (TCO) approach was used to compare the lifecycle costs. It was shown that although the acquisition costs of autonomous electric vehicles are higher than those of their conventional counterparts, they can reduce the TCO per passenger-km up to 75% and 60% compared to their conventional counterparts and buses, respectively

    Chlamydia infection depends on a functional MDM2-p53 axis.

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    Chlamydia, a major human bacterial pathogen, assumes effective strategies to protect infected cells against death-inducing stimuli, thereby ensuring completion of its developmental cycle. Paired with its capacity to cause extensive host DNA damage, this poses a potential risk of malignant transformation, consistent with circumstantial epidemiological evidence. Here we reveal a dramatic depletion of p53, a tumor suppressor deregulated in many cancers, during Chlamydia infection. Using biochemical approaches and live imaging of individual cells, we demonstrate that p53 diminution requires phosphorylation of Murine Double Minute 2 (MDM2; a ubiquitin ligase) and subsequent interaction of phospho-MDM2 with p53 before induced proteasomal degradation. Strikingly, inhibition of the p53-MDM2 interaction is sufficient to disrupt intracellular development of Chlamydia and interferes with the pathogen's anti-apoptotic effect on host cells. This highlights the dependency of the pathogen on a functional MDM2-p53 axis and lends support to a potentially pro-carcinogenic effect of chlamydial infection
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