NUMERICAL MODELING, GEOGRAPHIC INFORMATION SYSTEMS AND HYDROMORPHODYNAMIC PROCESSES
The Department of Numerical Modeling and Geographic Information Systems (MNSIG) carries out the processing and interpretation of large volumes of data that result from the monitoring activities of hydrodynamic and hydromorphological phenomena. The data are acquired from field measurements (2D single-beam and 3D multi-beam bathymetric measurements) and from hydrodynamic and hydromorphological numerical simulations. For the numerical simulation processes, a six-node cluster system is used that has a large capacity for processing and storing the data obtained from use of the MIKE (DHI) and Delft3D suite (Deltares) modeling software. The results are used to identify and evaluate the changes in the morphology of water bodies (bed variation and identifying erosion / sedimentation phenomena). Moreover, the MNSIG elaborates thematic maps for the Institute`s main fields of activity and processes the data collected from the receiver station network that monitors the ultrasonic tagged sturgeons.
Area Of Competence
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Numerical simulation of surface water flow;
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Processing data on hydrodynamic and hydromorphological parameters;
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Management of databases that results from in-situ investigations or are collected from questionnaires;
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Hydrodynamics;
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Hydromorphology;
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Remote sensing, satellite imagery;
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Rendering of thematic maps using GIS techniques;
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Making scenarios on the evolution of the Lower Danube River`s morphology.
Activities
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Monitoring, validation and complex processing of data associated with hydrodynamic and hydromorphologic phenomena in watercourses, measured during INCDPM in situ campaigns: ultra-high resolution multibeam, single-beam ADCP, topometry;
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Hydrodynamic and hydromorphological numerical hydrodynamic modeling based on field measured data and using state-of-the-art software suites;
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Geospatial analysis and GIS utilization for data interpretation and representation for all INCDPM fields of expertise;
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Geoprocessing and automated analysis of large datasets;
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Development and management of environmental databases;
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Statistical modeling of natural environmental parameters and anthropogenic processes.
MNSIG Infrastructure
Meet the Team
