Method of Mathematical and Geoinformation Models Integration Based On Unification of the Ecological Data Formalization

The scientific and methodological basis for the integration of mathematical and geoinformation models based on the unification of the formalization of environmental data has been developed. The ways of integration of the theoretical base of mathematical modeling from information sources about the state of the environment and the processes of its pollution are determined. An algorithm for selecting a modeling object, an algorithm for selecting the rules of recalculation of coordinates, and positioning of the calculation grid on the object are proposed. Systematization and formalization of the main components, quantities, and variables of mathematical models of processes, geoinformation models of systems, and relational models of databases are carried out. The model of relational databases and analogs of methods of data representation in mathematical and geoinformation models are offered. The stages of solving the problem of automating the exchange of data between models of different types in several stages are proposed. Variants of setting problems of automated synthesis of models of different types, depending on the identity of the structure and parameters of these models are considered. The stages of the automated creation of a database management system are determined. The approbation of the developed software is considered on a model example.

[1]  V. V. Veselov,et al.  Geoinformation and mathematical model of Eastern Priaralye , 2004, Math. Comput. Simul..

[2]  Atmospheric constituents and surface-level UVB: Implications for a paleoaltimetry proxy and attempts to reconstruct UV exposure during volcanic episodes. , 2016, Earth and planetary science letters.

[3]  V. B. Mokin.  Development of the Geoinformation System of the State Ecological Monitoring , 2007 .

[4]  Stanislav Belyakov,et al.  Intellectual Cartographic Visualization Procedure for Geoinformation System , 2018, 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC).

[5]  Urban Sprawl Classification Analysis Using Image Processing Technique in Geoinformation System , 2018, 2018 Conference on Emerging Devices and Smart Systems (ICEDSS).

[6]  O. Danylo,et al.  Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[7]  Umirzak Sultangazin.  Information systems based on space monitoring for solution of some problems of sustainable development , 2004, Math. Comput. Simul..

[8]  Grigory M. Chernyavsky.  Space monitoring of the environment and global safety , 2004, Math. Comput. Simul..

[9]  M. Molenaar,et al.  Status and problems of geographical information systems. The necessity of a geoinformation theory , 1991 .

[10]  Sergey Zakharov,et al.  The Analysis and Monitoring of Ecological Risks on the Basis of Fuzzy Petri Nets , 2018, 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC).

[11]  Biswajeet Pradhan,et al.  A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS , 2013, Comput. Geosci..

[12]  Natalia V. Akinina,et al.  Construction of basic graphic elements library for geoinformation ecological monitoring system , 2017, 2017 27th International Conference Radioelektronika (RADIOELEKTRONIKA).

[13]  O. M. Klyuchko,et al.  INFORMATION SUPPORT FOR AUTOMATIC INDUSTRIAL ENVIRONMENT MONITORING SYSTEMS , 2016 .

[14]  Larisa Gordienko,et al.  Geoinformation Project as Complex Object Forecasting and Decision Making Tool in Intelligent Information and Management Systems , 2020, 2020 International Russian Automation Conference (RusAutoCon).