Today, when developing territorial planning schemes for the subjects of the Russian Federation, as well as individual municipalities, it is necessary to identify territories at risk of rapidly developing natural hazards and man-made processes. This requirement is mandatory and reflected in the relevant regulatory documents. To achieve this, using modern algorithms for processing available information, including machine learning and artificial intelligence methods, a modern geoinformation engineering and construction model of planning restrictions for territories at risk of natural hazards is being created. This model allows approach the scenario of the hazardous processes development with a probabilistic risk assessment, achieving high forecasting accuracy for most types of geological processes. This model саn also be used as a basis for the development of methods for calculating and constructing effective foundations of buildings and structures located within such territories, and their practical implementation in built-up areas subject to the simultaneous influence of several factors of hazardous processes.
Мarinichev et al. (Thu,) studied this question.