Mkrtchyan F.A. Marine ecosystems and sustainable development. In: PICES-2023 Annual Meeting, 23-27 October 2023, Seatlle , USA , PICES , р. 26.
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The search for ways of sustainable development of marine ecosystems is associated with the development of information technologies that make it possible to predict the consequences of the implementation of anthropogenic projects, without which it is impossible to improve the living conditions of the population. Many of the problems that arise in marine ecosystems require the development of decision-making procedures in order to solve them, allowing the search for acceptable strategies for sustainable development. Sustainable development indicators are usually used to assess the overall state of the system or process under study. This paper discusses the issues of sustainable development of marine ecosystems. The main global problems of the dynamics of marine ecosystems and the analysis of the importance of environmental and socio-economic factors in the formation of global changes in these systems are considered. The decision on the level of potential risk of possible changes in the marine environment can be made on the basis of an analysis of the prehistory of such events and using methods for predicting natural phenomena. As a rule, risk assessment methods are based on statistical processing of data on process parameters, the interaction of which can initiate undesirable changes in the characteristics of the marine environment. The decision tool is developed on the basis of classical and sequential procedures. The statistical decision model assumes the continuous calculation of the selected criterion until it is satisfied. It is assumed that the process under study is evaluated on the basis of a specific indicator, and a set of its values is formed from various sources of information.
| Тип объекта: | Доклад на конференции или семинаре (Доклад) |
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| Авторы на русском. ОБЯЗАТЕЛЬНО ДЛЯ АНГЛОЯЗЫЧНЫХ ПУБЛИКАЦИЙ!: | Мкртчян Ф.А. |
| Подразделения (можно выбрать несколько, удерживая Ctrl): | 209 лаб. вычислительная |
| URI: | http://cplire.ru:8080/id/eprint/9437 |
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