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ІМІТАЦІЙНЕ МОДЕЛЮВАННЯ В УПРАВЛІННІ ВОДНИМИ РЕСУРСАМИ.

Authors :
Груздєва, Олена В.
Крячков, Данило О.
Смотраєв, Роман В.
Source :
Journal of Chemistry & Technologies; 2023, Vol. 31 Issue 3, p530-551, 22p
Publication Year :
2023

Abstract

Water resources in the modern world are under anthropogenic pressure, which is increasing with the growth of the world's population and the increase in economic activity. Therefore, the minute-by-minute need for water of proper quality can lead to a shortage of fresh water, which in turn will threaten the existence of humanity. Therefore, there is an urgent need to improve water management systems, taking into account many factors: modern concepts and approaches to water use and wastewater treatment, climate change forecasts, population and industrial development. This is impossible without the use of behavioral models and appropriate software. Currently, a variety of simulation software has been developed and is used (for example, STOAT, SWAT, WaMDaM, WEAP). It allows modeling the behavior of water resources in different territories and making forecasts of the behavior of water bodies. However, such modeling is quite complicated, not only because of the size of the models, but also because of different modeling approaches. The article reviews the current state of water body simulation software, presents the experience of its use for different water bodies in different countries, discusses the problems that arise during modeling, prospects and development of models and related software for system analysis and decision support in water management. The aim of the review is to facilitate interdisciplinary exchange of experience and to provide incentives for future research on database-based modeling in water resources management. [ABSTRACT FROM AUTHOR]

Details

Language :
Ukrainian
ISSN :
26632934
Volume :
31
Issue :
3
Database :
Complementary Index
Journal :
Journal of Chemistry & Technologies
Publication Type :
Academic Journal
Accession number :
175267007
Full Text :
https://doi.org/10.15421/jchemtech.v31i3.287777