Ivanov O. Models and methods of risk zones of potentially hazardous objects analysis in geographic information systems.

The PhD thesis is dedicated to the solution of scientific-practical problem of the reducing the time for determining the scenario of the adverse event (accident) development at a potentially hazardous object (as which the gas station (GS) within the city-metropolis was chosen) by developing models and methods of their risk zones analysis and visualization in geoinformation systems (GIS). Existing methods and methodological recommendations to identify the technogenic risks from potentially hazardous objects were analysed and their limitation of obtaining operational identification of risk zones was shown. During the analysis of the means of existing geoinformation systems, their limitations on the analysis and visualization of geospatial data on zones and the level of technogenic risk according to national regulatory methods are established. To create a GS’s geodatabase in specialized GIS, a model of the gas station’s geodata as a potentially hazardous object, which is located within a metropolis, was created, which contains attribute (thematic and temporary) and spatial component of the geodata. Using the model of the GS’s geodata and existing regulatory methods, RZM – the geodata models of technogenic risk zones from the shock wave RZMSW, oil products spill fire RZMOF and «fireball» RZMFB were developed. Taking into account the obtained models the method of determination of technogenic risk zones geodata on the given scenario was developed, which consists of 7 steps, as well as the method of visualization of these risk zones geodata in the free geoinformation system QGIS. In the fourth chapter of the PhD thesis the subsystem of the analysis and visualization of technogenic risk zones geodata in QGIS was developed. A geodatabase with the use of PostGIS is built, which is realized in the form of extension to DBMS PostgreSQL, which considerably expands possibilities of processing attribute (thematic static and temporary dynamic data), as well as spatial or geographical data. On the basis of the conducted researches the scientific and scientific-practical results were received, which make a significant contribution to the further development of the GIS on the basis of improvement of the geodata models of static objects (GSs) and dynamic events (shock wave, oil products spill fire and «fireball»), as well as methods of determination and visualization of technogenic risk zones geodata in the development of an accident according to the given scenario.