Risk management of a development of systems and territories is one of the key problems of managerial decision-making. This is due to the impossibility of carrying out model experiments and the complexity of formalization of characteristics. The necessity of considering the peculiarities of the spatial distribution of subjects and objects of management allows to speak about relevance of geoinformation management. Compared with other classes of potentially hazardous systems, spatially distributed systems and areas characterized by a significant level of inertia that contributes to sustainability in development, but hinders the development management and allows the dynamics to determine the influence of threat factors. The effects of hazards on the territory are systemic. The article describes: - analysis of dynamics of control conditions for the development of spatially distributed objects and territories; - classification of risks for coastal management; - principles of risk management development of the coastal areas; - the system model (conceptual model) of risk management in its spatial aspect, as well as private models for risk management under the influence of natural factors.
We consider results of development digital transformation technologies for risk management in natural-industrial systems within environmental economy while climate change. In research, we used: Foresight technologies, theory of decision making under uncertainties, risk management approach, methods of data bases constructing in case of digital risk management platforms. Analysis shows that the ways of risk management for natural-industrial systems while climate change within environmental economy have distinct features of digital transformation, due to new concepts of obtaining and presenting data. Preference is given to the use of digital risk management platforms, which integrate heterogeneous hardware and software resources with the use of web-technologies in distributed networks and wide application of cloud services. As base model for risk management, we proposed to use block diagram of geo-information support decision within in environmental economy while climate change. The proposed basic model allows direct assessment of the environmental monitoring cost impact on the overall business profit. We consider examples of different digital risk management platforms for natural-industrial systems that authors constructed. While research, we used platform https://www.researchgate.net/profile/Valery_Abramov2/ for preliminary data exchange and discussion.
The description of model of optimization of processing of the diverse space distributed data is provided in work. Approach to implementation of consolidation of information from different sources is considered. The control algorithm of diverse data taking into account filtering of fragments of all arrays of information is provided. Key information and technical aspects of application of model of processing of diverse geodata for the solution of tasks of management of forestry are described.
The article investigates risk management components and specific industry risks of forest management. The risk management model is offered in forestry on the basis of the managed parameter.
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