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|Title:||On-line applications of numerical models in the Black Sea GIS||Authors:||Zhuk, Elena
Khaliulin, Aleksey Kh
|Keywords:||Black sea;Calculation models;GIS;Mapserver;MEDSLIK||Category:||Civil Engineering;Civil Engineering||Field:||Engineering and Technology||Issue Date:||Mar-2017||Publisher:||SPIE||Source:||5th International Conference on Remote Sensing and Geoinformation of the Environment, 2017, Paphos, Cyprus, 20-23 March||DOI:||https://doi.org/10.1117/12.2279084||Abstract:||The Black Sea Geographical Information System (GIS) is developed based on cutting edge information technologies, and provides automated data processing and visualization on-line. Mapserver is used as a mapping service; the data are stored in MySQL DBMS; PHP and Python modules are utilized for data access, processing, and exchange. New numerical models can be incorporated in the GIS environment as individual software modules, compiled for a server-based operational system, providing interaction with the GIS. A common interface allows setting the input parameters; then the model performs the calculation of the output data in specifically predefined files and format. The calculation results are then passed to the GIS for visualization. Initially, a test scenario of integration of a numerical model into the GIS was performed, using software, developed to describe a two-dimensional tsunami propagation in variable basin depth, based on a linear long surface wave model which is legitimate for more than 5 m depth. Furthermore, the well established oil spill and trajectory 3-D model MEDSLIK (http://www.oceanography.ucy.ac.cy/medslik/) was integrated into the GIS with more advanced GIS functionality and capabilities. MEDSLIK is able to forecast and hind cast the trajectories of oil pollution and floating objects, by using meteo-ocean data and the state of oil spill. The MEDSLIK module interface allows a user to enter all the necessary oil spill parameters, i.e. date and time, rate of spill or spill volume, forecasting time, coordinates, oil spill type, currents, wind, and waves, as well as the specification of the output parameters. The entered data are passed on to MEDSLIK; then the oil pollution characteristics are calculated for pre-defined time steps. The results of the forecast or hind cast are then visualized upon a map.||Description:||Proceedings of SPIE - The International Society for Optical Engineering, 2017, Volume 10444, Article number 104440H||URI:||http://ktisis.cut.ac.cy/handle/10488/12693||Rights:||© 2017 SPIE.||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια /Conference papers - poster -presentation|
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