The approach to the estimation of the condition of the surrounding anthropogenically-transformed environment, based on the metabolic concept of the urban environment is proposed. Improvement of existing and development of new indicators are an important stage in the implementation of the geoinformational monitoring of the forecasting of the state of the city environment in practice, which will realize in practice the concept of sustainable development of the urban environment, which is today the development of V.I. Vernadsky's doctrine of the noosphere. Keywords: energy balance, entropy, free energy, Takagi-Sugeno-Kang algorithm, material-energy flows, geoinformational monitoring.
The article presents the experience of Taras Shevchenko National University of Kyiv in designing, organising, and teaching courses in geomatics for crisis management practitioners and experts pursuing a career in critical infrastructure protection.
During transiting to the post-industrial era the role of cities and urban environment functions are transformed. A new type of economic system imposes new requirements to the urban environment as a space for the population life and doing business. Today, on the basis of the concept of sustainable development, a general scientific paradigm of cognition is being formed as a result of the synthesis of sciences about nature, society and man. There are many approaches to the concept of sustainable development. The most modern concept, according to the authors of the article, understands of sustainable development, which is based on laws of the conservation of energy or power, as a general law of Nature. The article proposes a comprehensive approach based on the integration of the capabilities of modern GIS and intelligent technologies for estimating the potential, real and missed opportunities of the urban environment in the context of using incomplete and fuzzy information. The application of the proposed approach to estimating the sustainable development of the urban environment on the example of Ukrainian cities is shown.
The quality and comfort of the urban environment serve as one of the most important factors for ensuring the competitiveness of municipalities, regions and countries. The quality of the urban environment is determined by the quality of its three components: anthropogenic, natural and social environment. The main problem of assessing the state of the urban environment is the fragmentation of methodological approaches and adequate tools for assessing the qualitative state of the urban environment. This objectively makes it difficult for municipal authorities to use this assessment as an element in the system of urban planning decision making. We have developed an intelligent information system to provide an assessment of potential, real and lost opportunities of the urban environment using fuzzy expert knowledge. This system operates in the conditions of using non-numeric, inaccurate and incomplete information to ensure the management of sustainable city development. The system for assessing the potential, real and lost opportunities of the urban environment is based on the use of fuzzy logic equations. It allows to evaluate the effectiveness of metabolic transformations of each subsystem of the urban environment.
Geoinformational monitoring of urban environment is a necessary component of modern military-geographical description of military operation theater. The polymorphism property of modern geoinformational monitoring can be attributed to tactical properties, since it significantly expands range of decryption features of territory to be studied. The essence of polymorphism property of geoinformational monitoring is as follows: the same object of monitoring or the same phenomenon or process can be represented by different models. This property of geoinformational monitoring allows to preserve the integrity of representation of monitoring objects due to the invariance of description of objects and to bring the study of tasks of one type of monitoring to tasks of another type. Consistency of disparate models of monitoring objects is carried out provided that they belong to a given category of models. A constructive approach to the integration of different types of models of monitoring objects in the system of geoinformational monitoring is using methods of categorical-functional analysis. The mathematical apparatus of category theory allows the formalization of structures of complex systems in the form of sets of morphisms and objects of category of structured sets. This allows us to preserve integrity of representation of monitored object, and the consistency of its disparate models based on the analysis of their belonging to a given category of models. The paper presents the mathematical apparatus of implementation of this method, which is the theoretical basis of properties of polymorphism of geoinformational monitoring. The property of polymorphism allows us to increase the efficiency of processes of observation, evaluation, control and management of urban environment on basis of a heterogeneous polymodel complex, which forms information space of object of monitoring. Specific models of practical implementation of the polymorphism properties of geoinformational monitoring on the example of anomalous zones of density of vehicles and thermal field of the city surface are considered.
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