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Portal Wissen = Wege
(2015)
Wie Merkmale von Generation zu Generation weitervererbt werden, wie sich die Erbinformation dabei durch Mutationen verändert und somit zur Ausprägung neuer Eigenschaften und der Entstehung neuer Arten beiträgt, sind spannende Fragen der Biologie. Genetische Differenzierung führte im Laufe von Jahrmillionen zur Ausbildung einer schier unglaublichen Artenvielfalt. Die Evolution hat viele Wege beschritten. Sie hat zu großartiger natürlicher Biodiversität geführt – zu Organismen, die an sehr unterschiedliche Umwelten angepasst sind und zum Teil eine ulkige Gestalt haben oder ein merkwürdiges Verhalten zeigen. Aber auch die von Menschenhand gemachte Biodiversität ist überwältigend – man denke nur an die 10.000 verschiedenen Rosensorten, die uns entzücken, oder die Myriaden unterschiedlicher Weizen-, Gerste- oder Maisvarianten; Pflanzen, die allesamt früher einmal einfache Gräser waren, uns heute aber ernähren. Wir Menschen schaffen eine eigene Biodiversität, eine, die die Natur selbst nicht kennt. Und wir „fahren“ gut damit. Dank der Genomforschung können wir heute die gesamte Erbinformation von Organismen in wenigen Stunden bis Tagen aus- lesen. Sehr viel länger dauert es aber, die zahlreichen Abschnitte eines Genoms funktionell zu kartieren.
Die Wissenschaftler bedienen sich dazu vielfältiger Methoden: Dabei gehört es heute weltweit zum Standardrepertoire, Gene gezielt zu inaktivieren oder zu aktivieren, ihren Code zu modifizieren oder Erbinformationen zwischen Organismen auszutauschen. Dennoch sind die Wege, die zur Erkenntnis führen, oft verschlungen. Nicht selten müssen ausgeklügelte experimentelle Ansätze gewählt werden, um neue Einsichten in biologische Prozesse zu gewinnen.
Mit den Methoden der Genomforschung können wir nicht nur das erkunden, was sich in der Natur „da draußen“ findet. Wir können auch fragen: „Wie verhält sich ein Lebewesen, beispielsweise ein Moos, eigentlich, wenn wir es zur International Space Station (ISS) schicken? Und können wir daraus Kenntnisse gewinnen über die Anpassungsstrategien von Lebewesen an harsche Umweltbedingungen oder gar für eine spätere Besiedlung des Mondes oder des Mars´?“ Oder können wir mithilfe der synthetischen Biologie Mikroorganismen präzise, quasi am Reißbrett geplant, so verändern, dass neue Optionen für die Behandlung von Krankheiten und für die Herstellung innovativer biobasierter Produkte entstehen? Die Antwort auf beide Fragen lautet eindeutig: Ja! (Wenngleich ein Umzug auf andere Planeten derzeit natürlich nicht vornan steht.).
Landnutzung durch den Menschen bestimmt die Biodiversität. Andererseits tragen Organismen zur landschaftlichen Formenbildung bei und beeinflussen über kurz oder lang die Zusammensetzung unserer Atmosphäre. Auch hier gibt es spannende Fragen, mit denen sich die Forschung beschäftigt.
Um neue Erkenntnisse zu gewinnen, müssen Forscher immer wieder neue Wege einschlagen. Oft kreuzen sich auch Pfade. So war es beispielsweise vor wenigen Jahren noch kaum absehbar, wir stark die ökologische Forschung beispielsweise von den schnellen DNA-Sequenziermethoden profitieren würde, und die Genomforscher unter uns konnten kaum erahnen, wie die gleichen Techniken uns neue Möglichkeiten an die Hand geben sollten, die hochkomplexe Regulation in Zellen zu untersuchen und für die Optimierung biotechnologischer Prozesse zu nutzen.
Beispiele aus den vielfältigen Facetten der biologischen Forschung finden Sie – neben anderen interessanten Beiträgen – in der aktuellen Ausgabe von „Portal Wissen“. Ich wünsche Ihnen eine anregende Lektüre!
Prof. Dr. Bernd Müller-Röber
Professor für Molekularbiologie
Records from ocean bottom seismometers (OBSs) are highly contaminated by noise, which is much stronger
compared to data from most land stations, especially on the horizontal components. As a consequence, the high energy of the oceanic noise at frequencies below 1 Hz considerably complicates the analysis of the teleseismic earthquake signals recorded by OBSs.
Previous studies suggested different approaches to remove low-frequency noises from OBS recordings but mainly focused on the vertical component. The records of horizontal components, which are crucial for the application of many methods in passive seismological analysis of body and surface waves, could not be much improved in the teleseismic frequency band. Here we introduce a noise reduction method, which is derived from the harmonic–percussive separation algorithms used in Zali et al. (2021), in order to separate long-lasting narrowband signals from broadband transients in the OBS signal. This leads to significant noise reduction of OBS records on both the vertical and horizontal components and increases the earthquake signal-to-noise ratio (SNR) without distortion of the broadband earthquake waveforms. This is demonstrated through tests with synthetic data. Both SNR and cross-correlation coefficients showed significant improvements for different realistic noise realizations. The application of denoised signals in surface wave analysis and receiver functions is discussed through tests with synthetic and real data.
Records from ocean bottom seismometers (OBSs) are highly contaminated by noise, which is much stronger compared to data from most land stations, especially on the horizontal components. As a consequence, the high energy of the oceanic noise at frequencies below 1 Hz considerably complicates the analysis of the teleseismic earthquake signals recorded by OBSs.
Previous studies suggested different approaches to remove low-frequency noises from OBS recordings but mainly focused on the vertical component. The records of horizontal components, which are crucial for the application of many methods in passive seismological analysis of body and surface waves, could not be much improved in the teleseismic frequency band. Here we introduce a noise reduction method, which is derived from the harmonic–percussive separation algorithms used in Zali et al. (2021), in order to separate long-lasting narrowband signals from broadband transients in the OBS signal. This leads to significant noise reduction of OBS records on both the vertical and horizontal components and increases the earthquake signal-to-noise ratio (SNR) without distortion of the broadband earthquake waveforms. This is demonstrated through tests with synthetic data. Both SNR and cross-correlation coefficients showed significant improvements for different realistic noise realizations. The application of denoised signals in surface wave analysis and receiver functions is discussed through tests with synthetic and real data.
Volcanic tremor extraction and earthquake detection using music information retrieval algorithms
(2021)
Volcanic tremor signals are usually observed before or during volcanic eruptions and must be monitored to evaluate the volcanic activity. A challenge in studying seismic signals of volcanic origin is the coexistence of transient signal swarms and long-lasting volcanic tremor signals. Separating transient events from volcanic tremors can, therefore, contrib-ute to improving upon our understanding of the underlying physical processes. Exploiting the idea of harmonic-percussive separation in musical signal processing, we develop a method to extract the harmonic volcanic tremor signals and to detect tran-sient events from seismic recordings. Based on the similarity properties of spectrogram frames in the time-frequency domain, we decompose the signal into two separate spec-trograms representing repeating (harmonic) and nonrepeating (transient) patterns, which correspond to volcanic tremor signals and earthquake signals, respectively. We reconstruct the harmonic tremor signal in the time domain from the complex spectrogram of the repeating pattern by only considering the phase components for the frequency range in which the tremor amplitude spectrum is significantly contribut-ing to the energy of the signal. The reconstructed signal is, therefore, clean tremor signal without transient events. Furthermore, we derive a characteristic function suitable for the detection of tran-sient events (e.g., earthquakes) by integrating amplitudes of the nonrepeating spectro-gram over frequency at each time frame. Considering transient events like earthquakes, 78% of the events are detected for signal-to-noise ratio = 0.1 in our semisynthetic tests. In addition, we compared the number of detected earthquakes using our method for one month of continuous data recorded during the Holuhraun 2014-2015 eruption in Iceland with the bulletin presented in Agustsdottir et al. (2019). Our single station event detection algorithm identified 84% of the bulletin events. Moreover, we detected a total of 12,619 events, which is more than twice the number of the bulletin events.
To address one of the central questions of plate tectonics-How do large transform systems work and what are their typical features?-seismic investigations across the Dead Sea Transform (DST), the boundary between the African and Arabian plates in the Middle East, were conducted for the first time. A major component of these investigations was a combined reflection/ refraction survey across the territories of Palestine, Israel and Jordan. The main results of this study are: (1) The seismic basement is offset by 3-5 km under the DST, (2) The DST cuts through the entire crust, broadening in the lower crust, (3) Strong lower crustal reflectors are imaged only on one side of the DST, (4) The seismic velocity sections show a steady increase in the depth of the crust-mantle transition (Moho) from 26 km at the Mediterranean to 39 km under the Jordan highlands, with only a small but visible, asymmetric topography of the Moho under the DST. These observations can be linked to the left-lateral movement of 105 km of the two plates in the last 17 Myr, accompanied by strong deformation within a narrow zone cutting through the entire crust. Comparing the DST and the San Andreas Fault (SAF) system, a strong asymmetry in subhorizontal lower crustal reflectors and a deep reaching deformation zone both occur around the DST and the SAF. The fact that such lower crustal reflectors and deep deformation zones are observed in such different transform systems suggests that these structures are possibly fundamental features of large transform plate boundaries
Modern natural hazards research requires dealing with several uncertainties that arise from limited process knowledge, measurement errors, censored and incomplete observations, and the intrinsic randomness of the governing processes. Nevertheless, deterministic analyses are still widely used in quantitative hazard assessments despite the pitfall of misestimating the hazard and any ensuing risks.
In this paper we show that Bayesian networks offer a flexible framework for capturing and expressing a broad range of uncertainties encountered in natural hazard assessments. Although Bayesian networks are well studied in theory, their application to real-world data is far from straightforward, and requires specific tailoring and adaptation of existing algorithms. We offer suggestions as how to tackle frequently arising problems in this context and mainly concentrate on the handling of continuous variables, incomplete data sets, and the interaction of both. By way of three case studies from earthquake, flood, and landslide research, we demonstrate the method of data-driven Bayesian network learning, and showcase the flexibility, applicability, and benefits of this approach.
Our results offer fresh and partly counterintuitive insights into well-studied multivariate problems of earthquake-induced ground motion prediction, accurate flood damage quantification, and spatially explicit landslide prediction at the regional scale. In particular, we highlight how Bayesian networks help to express information flow and independence assumptions between candidate predictors. Such knowledge is pivotal in providing scientists and decision makers with well-informed strategies for selecting adequate predictor variables for quantitative natural hazard assessments.
One of the key challenges in the context of local site effect studies is the determination of frequencies where the shakeability of the ground is enhanced. In this context, the H/V technique has become increasingly popular and peak frequencies of H/V spectral ratio are sometimes interpreted as resonance frequencies of the transmission response. In the present study, assuming that Rayleigh surface wave is dominant in H/V spectral ratio, we analyse theoretically under which conditions this may be justified and when not. We focus on 'layer over half-space' models which, although seemingly simple, capture many aspects of local site effects in real sedimentary structures. Our starting point is the ellipticity of Rayleigh waves. We use the exact formula of the H/V-ratio presented by Malischewsky & Scherbaum (2004) to investigate the main characteristics of peak and trough frequencies. We present a simple formula illustrating if and where H/V-ratio curves have sharp peaks in dependence of model parameters. In addition, we have constructed a map, which demonstrates the relation between the H/V-peak frequency and the peak frequency of the transmission response in the domain of the layer's Poisson ratio and the impedance contrast. Finally, we have derived maps showing the relationship between the H/V-peak and trough frequency and key parameters of the model such as impedance contrast. These maps are seen as diagnostic tools, which can help to guide the interpretation of H/V spectral ratio diagrams in the context of site effect studies.