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Computational Laboratory for Fault System Modeling, Analysis, and Data Assimilation

 

Personnel

 

 

Kristy Tiampo

Dr. Kristy Tiampo, Director
List of publications


Alyssa Gilbert

Dr. Pablo Gonzalez

My research interests are focused, mainly, on the understanding of the mechanisms that promotes Earth's surface deformation and stress conditions in and around volcanoes and fault zones. I use a combination of  techniques from structural geology, geodesy and computer modelling to adress the questions about the mechanics of magmatic systems and earthquake faulting, and its spatio-temporal evolution. My current research interests includes volcano flank deformation, time-dependent deformation in shallow magmatic systems, continental deformation at diffuse plate boundaries, and mechanics of extensional deformation at plate-boundary scale.

Volcano geomechanics: Using a combination of structural geology, geophysical propecting methods and geodetic data, I have studied how the volcanoes deforms. For example, how a repeated sets of microgravity surveys soon after a period of unrest could serve for the monitoring of fluid migrations after a dike intrusion (Gottsmann et al., 2006). Also a hot topic in volcano geodesy is the evaluation of structural stability of volcanic edifices and the study of frictional and kinematic properties of basal (decollements) and intra-volcanic fault systems (González et al., 2010b). In general, the development of ground deformation monitoring systems (Perlock et al., 2008; Prieto et al., 2009).

Development of new methods and analysis tools of geodetic data: During my PhD, I was, mainly, involved in three geodetic data analysis problems i) how to obtain accurate measurements of horizontal ground deformation at a comparable scale of InSAR techniques (González et al., 2010a), ii) the development of new methods for the retrieval of spatially continous 3D surface deformation for the improvement of our capability of modelling processes using geomechanical models of faulting and magmatic emplacement in the crust (González et al., 2009; González, 2010), as well as iii) the development of error analysis tools for evaluate the confidence in the SBAS interferometric methods (González et al., in preparation). I am always interested on new and wide branch applications of geodetic data (Seco et al., 2009).

Continental deformation at diffuse boundary lithospheric plates: I am interested in the understanding of the nature of continental deformation primarily using geodetic data from GPS networks or satellite radar interferometric surveys to bring us with instantaneous (present-day) deformation kinematics to long-standing views from geomorphology and structural geology. I have started to analyse some recent earthquakes using radar interferometry (González et al., 2009) to more developed models of co- and postseismic deformation of high-strain deformation areas to understand the role of such areas in a low rate convergence diffuse plate boundaries (Gonzalez et al., in preparation). In the future, I am interest to develop kinematics models to explain current deformation partition at such low rate convergence diffuse plate boundaries.


Mechanics of extensional deformation at plate-boundary scale: Here, we are working in our project in the East African Rift funded by the European Center for the Geodynamics and Seismology (ECGS) at Luxembourg, to detect steady-state and transient deformation at long spatialscales in extensional tectonics.

Amir Tavakoli

Dr. Amir Tavakoli

I have been working under the supervision of professor Kristy Tiampo as a post-doctoral fellow since July 2009. Our main goal is to contribute in modeling and simulation of earthquakes. To this end we choose to work on Virtual California (VC). In parallel, we are studying the gravity gradient and its effect on earthquakes.

VC is an existing simulation code which has been developed and updated during the current decade. The input to VC is the geometry of fault system along with the friction and other forces. In VC the main objective is to produce an artificial earthquake and see the effect of it in a fault system. This process can be done back and forth to produce a complete catalogue. Comparing the catalogue with the real data from the past history of specific fault system can help to improve our picture. It also might be an excellent assistance to forecast the future of events in a region.

 

Samira Alipour

Samira Alipour, Ph.D. candidate

My primary interest is applications of InSAR (Interferometric Synthetic Aperture Radar) and PolInSAR (Polarimetric Interferometric Synthetic Aperture Radar) techniques to image ground-surface deformation related to the natural or man-made processes, such as volcanic or tectonic activities or mining induced subsidence.

Part of my thesis will be the integration of polarimetric and interferometric observations. PolInSAR is an advanced technique that makes it possible to separate different scattering centers inside a resolution cell. By varying the polarization states, optimal scattering mechanisms will be obtained. Using this technique, it is possible to reduce the uncertainty in interferometric phase estimation. Integration of polarimmetry with the advanced Interferometric techniques aims at ground deformation mapping with millimeter precision.

My thesis will also focus on the inversion of InSAR observations which is a direct manifestation of the processes that lead to surface deformation. I invert InSAR data to retrieve the source parameters of the ongoing process using an elastic dislocation models. Using the physical models we are able to have a better understanding of the underlying processes.

 

Attieh Eshaghi

Attieh Eshaghi, Ph.D. candidate

Earthquake early warning systems hold the potential to reduce the damaging effects of earthquakes by giving a few seconds to a few tens of seconds warning before the arrival of damaging ground motion. Using P-wave arrivals is the most rapid method of delivering earthquake early warning and may permit a few seconds warning of ongoing ground motion in the region. The possible warning time is usually in the range of up to 70 seconds, depending on the distances between seismic sources, seismic sensor and user sites. Two approaches are possible (Kanamori (2005)): a) Regional (front detection) warning, b) on-site (or site-specific) warning. In (a), the traditional seismological method is used to locate an earthquake, determine the magnitude, and estimate the ground motion at other sites. In (b), the beginning of the ground motion (mainly P wave) observed at a site is used to predict the ensuing ground motion at the same site.

I want to explore a practical approach to earthquake early warning in Cascadia Subduction Zone in Canada's west cost by determining earthquake early warning parameters.

These parameters include a ground-motion period parameter τc and a high-pass filtered displacement amplitude parameter Pd from the initial 3 s of the P waveforms recorded at the Natural Resources Canada's Seismic Network stations for earthquakes with M >4.0. At a given site, I want to estimate the magnitude of an event from τc and the peak ground-motion velocity (PGV) from Pd. I want to investigate if there is a relationship between τc and magnitude (M), and between Pd and PGV for this area.

These two relationships can be used to detect the occurrence of a major earthquake and provide on-site warning in the area around the station where onset of strong ground motion is expected within seconds after the arrival of the P wave.

Also I want to investigate the possible use of 1 HZ GPS data for seismology fields. The Global Positioning System (GPS) is a powerful tool for Earth studies, capable of representing displacements occurring over a range of temporal and spatial scales. These GPS data are important both for resolving the geodetic signature of

the earthquake itself and studies of postseismic deformation. There are new efforts to use these data in risk reduction assessment and even in earthquake and early warning systems. Previous studies demonstrated that high-rate GPS accurately measures large-amplitude motions.

Javad Kazemian

Javad Kazemian, Ph.D. candidate

It is possible to compare earthquakes with the brittle failure of homogeneous materials. Originally, a fracture starts with the arbitrary appearance of damage in the form of microcracks, after that probably a coalescence of microcracks which can be a start of overall failure happens and finally the final crack develops in the region with higher damage.

The method of propagation of the crack is still not well defined due to the complication of the precise shape of the crack and the stress field acting on it. While failure of the material is a complex phenomenon it can be simulate in some models.

In this perspective, the focus is on the case in which the fracture dynamics is continuous and slow, so that in spite of possibly very fast local developments, a sample can be considered in a quasi-equilibrium. This means that the sample internal state is either independent of time or evolves slowly with respect to the fast time-scale of the fracture process. The outcome, in general, depends on the loading conditions, the crack geometry, and other details in the engineering mechanics literature. To avoid all these complications, one can disregard the dynamics of individual microcracks and treat the damage at a coarse-grained scale. This approach, known as ‘‘damage mechanics’’, is valid when the interaction among cracks is moderate. In the simplest case, one can consider the evolution of a scalar-valued damage field, describing the local variations of the Hooke’s law σ(x) = E0(1-D(x))ε.The idea behind damage mechanics is that all the complications of the fracture process can be encoded in the field “D”. Simple models of statistical fracture can be used to check some of the typical assumptions and possible outcomes in damage mechanics.

I chose to work on the Random Fuse Model (RFM) which has been the cornerstone in this respect for the last 20 years. There is a formal analogy between the scalar elasticity problem and an equivalent electrical problem; one identifies the current I with the stress, the voltage V with the strain, and the conductivity, with the Hooke tensor. The Random Fuse Model uses this electrical analogy. This Model (RFM) is a simple idealized model to describe breaking processes by increasing the current-carrying properties of a random network consisting of insulators and fuses. By increasing the value of the external voltage applied across the network, a sequence of fuses will “burn out” and change irreversible into insulating bonds. This process terminates when a contacting path no longer exists in the network. This scalar electrical analogy of elasticity is a simplification over the Lame´ equations (), and formally corresponds to an antiplanar shear deformation scenario.

 

Troy Unrau, M.Sc. candidate

I am a M.Sc. candidate in Geophysics under the multidisciplinary Planetary Sciences Program. My research focus is radar with applications in the planetary sciences. To this effect, I principally do research using ground penetrating radar (GPR) in the field and via computer simulation to help determine the usefulness of this technique for future surface exploration missions. Primary field work has been in locations on Earth where the environmental conditions permit research to be done as an analogue to Mars or the Moon. The primary target is the scattering media and their effect on radar penetration.

In additional to ground based GPR for planetary work, the results will be applicable to any radar propagation problem in scattering media, such as glacial tills. By borrowing methods from Polarimetric SAR which are designed to characterize scattering mediums and textures, information about the nature of the medium may be derivable from the data.

Lastly, I am involved in secondary projects: 1) processing large SAR datasets in support of seismic deformation monitoring; 2) mission control scientist for the Mistastin Crater Analogue Mission.

 

Claire Mortera

Claire Mortera, Research Assistant

Claire started working with Kristy and her team in September of 2009.. The following are the major foci of her work as Research Assistant: Collects high precision GPS data from several stations across Ontario and Quebec. The data is then converted into a standard format, processed, and archived for future research. Selects and downloads remote sensing data based on specified parameters such as satellite wave-length, acquisition date, polarization mode and file format using various database program including DESCW, EOLI and Google Earth for research projects. Gathers website data and assists in website layout, design and maintenance, researches and downloads scientific papers for references. Her organizational, financial and administrative duties include but not limited to organizing and managing software licensing and renewal, inventory of computer software and hardware, storage of archived remote sensing data to ensure security and backup, assists with logistics for Geology field course including reservations for hotels, airline tickets, busing and other means of transportation, manages customs regulations and forms on all international shipments,assists students in expense claims preparation, safety certification and purchasing procedures.

 

Jon Lee

 

Jonathan is working as a computer programmer for Kristy Tiampo during the summer of 2010, continuing projects started the previous summer. These projects include porting, maintaining, and writing earthquake models for Kristy, as well as writing software simulating microbial behavior for a joint project between Kristy and Neil Banerjee.

The earthquake models were cellular automata and originally implemented in Perl. Jonathan updated these with an interface that allowed pausing and stepping through individual steps in the model, as well as options for visualizing the model in 3D. Additionally, in the process the code was ported to C++ which in turn reduced computational demands. The removal of some of this overhead allowed for complexities to be added to the model, such as further interactions between cells.

Eventually other restrictions were lifted. One of the next to go was the artificial structure of the cells, which are placed on a perfect, square lattice. From observations of the cellular model, it was conjectured that this structure favoured propagation of events parallel to the automata's axes. To address this concern, the cell structure was replaced by a planar graph of connected nodes. The nodes were distributed randomly (but evenly) in the plane, breaking the highly synthetic structure. The resulting model appeared to propagate events in a far more natural manner.

Besides Kristy's interest in earthquakes, Jonathan has also worked on a model of microbial growth. This model originally began as a work study project for Neil Banerjee. Neil is studying tubule formations found in ancient glass, and has hypothesized that these are caused by early living organisms. After extensive physical research, he had the idea of simulating these tubules with a computer and hired Jonathan to make the idea a reality. The simulation was well received, and has since been used to create data to compare with measured statistics. Using the simulation, it is possible to explore how control of quantified factors affects qualitative observations.

Finally, and related to the microbe model, Jonathan has begun writing an image recognition program used for generating statistics from thin slices of the tubules. This program takes a photographic image as input and trace the path of the tubules within it. These paths are then interpreted as measurements of the real data. Essentially, the program automates the time consuming and inaccurate process of tracing each path by hand, and measuring with a ruler. An additional feature is planned for the program: the partial reconstruction of tubes in 3D by stitching together parallel thin slices.

Contacts

earth-sc@uwo.ca
519-661-3187
B&GS 1026

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