Carmen Jandrisevits

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

   

Contact Information:

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Phone: +43 - (0)662 - 8044 - 7559

Fax: +43 - (0)662 - 8044 - 7588


Scientific Profile:

Carmen Jandrisevits studied Geomatics at the Graz University of Technology and Erdwissenschaften (Earth sciences) with  specialization in Engineering Geology at the Graz University of Technology/University of Graz.

Her areas of interest include geoinformatics, geology, hydro(geo)logy, geodesy and geotechnics.

Between 2010 and 2011 she served as a university assistant at the Institute of Engineering Geodesy and Measurement Systems at the Graz University of Technology.

She is currently doing her PhD in Applied Geoinformatics within the field of applications of geology, hydro(geo)logy and geostatistics.


Education:

10/1999 - 6/2005: Undergraduate studies Geomatics Engineering and Geomatics Science (Vermessung und Geoinformation), Graz  University  of Technology

23.4.2004: Completion of Bachelor degree in Geomatics Engineering (Bakk.techn.)

10.6.2005: Completion of Master degree in Geomatics Science (Dipl.Ing.)

Master thesis on "Numerische Differentiationsverfahren mit voller Kovarianzinformation im Rahmen der GOCE -   Erdschwerefeldlösung" at the Institute of Navigation and Satellite Geodesy

10/2005 - 5/2012: Undergraduate studies Earth sciences (Erdwissenschaften) at  Graz University of  Technoloy/ University of Graz

6.8.2009: Completion of Bachelor degree in Earth sciences (B.Sc.)

Bachelor thesis on "Der Einfluss von Störungssystemen auf Massenbewegungen am Beispiel des Haindlkar" at   the Institute of Geology

31.5.2012: Completion of Masters degree in Earth sciences with a specialization in Engineering Geology (M.Sc.)

Master thesis on "Contact free measurements of rock mass structures - method comparison at the Institute of Applied  Geosciences" at the Institute of Engineering Geology

since 2011: Graduate studies Applied Geoinformatics, Doctoral College GIScience, Department of Geoinformatics_Z-GIS, University of Salzburg


PhD Thesis Topic:

3D modeling and simulation of sediment structures in overdeepened alpine basins and implications for hydro (geo) logical modeling


Abstract:

The sedimentary infills of over-deepened alpine valleys and basins in the Eastern Alps are of great interest in applied geosciences, for geotechnical projects and groundwater resource management. The internal architecture and geometry of the sedimentary bodies within these valleys is generally complex, resulting in hydrologically diverse groundwater systems. The key research question is how to combine geological knowledge about the genesis of a complex sedimentary structure and the hydrogeological properties of sediments with geostatistical approaches and hydrogeological measurements to find plausible geological and hydrogeological models for a complex sedimentary environment under conditions of data scarcity. The investigation area is located in Upper Salzach valley and Zell basin which have been formed by glaciation processes and neotectonic activity. In a first step the 3D spatial distribution of sedimentary structures and hydraulic properties of sediment infill in the Zell Basin are modeled. The irregular sample – spacing within the area, combined with the presence of highly unpredictable lateral extents of the sedimentary units, imposes 3D modeling of such complex sedimentary sequences as a challenging exercise. Several possible geostatistical modeling/simulation approaches (Indicator Kriging (IK), Sequential Indicator Simulation (SISIM), Sequential Indicator Co – Simulation (COSISIM) and Multiple Point Statistical (MPS) Simulation) are investigated to developing realistic subsurface models of the heterogeneous sedimentary infill. Traditional geostatistical methods (IK, SISIM, and COSISIM) require a variogram model to estimate or simulate the spatial distribution of a particular physical property at unsampled locations. MPS goes beyond variogram based (2 - point) geostatistics as it takes into account multiple joint correlations. MPS in turn relies on process-based training images (TI) that capture the range of possible dimensions and shapes of the sediment facies in the subsurface as well as the relative spatiotemporal associations between facies. Different plausible geological models are used as input for groundwater flow modeling. The influence of different geological scenarios on the groundwater flow is compared to evaluate the performance of different geological scenarios. In this PhD project challenges and possible solutions for developing a plausible 3D geological and groundwater model based on scarce data in a complex sedimentary are investigated which is of great interest for researchers as well as for operators in water policy.


First Supervisor:

Univ. Doz. Dr. Robert Marschallinger

Other Supervisors: 

Ass. - Prof. Dr. Mag. Sylke Hilberg 

Univ. Prof. Dr. Thilo Hofmann


Research Cluster:

Respresentation and Data Models


Research Areas: 

Geostatistics (with an emphasis on Multiple Point Geostatistics), Voxel based solid modeling, 3D geological and hydrogeological modeling (Groundwater flow modeling: Finite element method)


Publications: 

Jandrisevits, C., Marschallinger, R.  and Hofmann, Th. (accepted 2014). Multivariate geostatistical analysis of sedimentary infilling in the upper Salzach valley. Austrian Journal of Earth Sciences

Marschallinger, R., Jandrisevits, C.  and Zobl, F. (2014). A Visual LISP Program for Voxelizing AutoCAD Solid Models.  Computers & Geosciences, DOI: 10.1016/j.cageo.2014.09.011

Marschallinger, R., Jandrisevits, C. and Zobl, F. (2014). Ein CAD-basierter Voxelizer als Schnittstelle zur Geostatistik, Pangeo Austria, September 2014, Graz, Austria.

Jandrisevits, C. and Marschallinger, R. (2014). Variogram based and Multiple-Point Statistical simulation of shallow aquifer structures in the Upper Salzach valley, Austria. EGU, Geophysical Research Abstracts Vol. 16, EGU 2014-12205-1, 2014.

Jandrisevits, C. (2013). Multivariate geostatistical simulation for characterization of a quarternary aquifer in the Upper Salzach valley, Austria. IAMG 2013, September 2013, Madrid, Spain.

Jandrisevits, C. (2012). Three – dimensional geological modeling and stochastic simulation methods to establish heterogeneous aquifer structures as a basis for groundwater modeling. Pangeo Austria, September 2012, Salzburg, Austria.

 

 

Presentation Jandrisevits Carmen