Modeling the risk of territories flooding by flood waters on the Kan River

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH-V 2021

Год издания: 2021

Идентификатор DOI: 10.1088/1755-1315/839/3/032045

Аннотация: Throughout the existence of human civilization, flooding of territories as a result of the influence of flood and ground waters has threatened normal life. One of the ways to prevent negative impact of floods is the use of mathematical modeling methods using modern software. The paper presents the results of solving the problem of Показать полностьюmodeling the dynamics of flood waters within the boundaries of the settlement of Kansk and making a forecast of possible flooding for 2021. To calculate flooding zones of territories within the boundaries of Kansk by spring waters, the TUFLOW program was used in the Surface-water Modeling System modeling environment, as well as neural network forecasting using the NeuroPro software product and visualization of forecasting results in the AIMS RSChS-2030 software environment. Simulation of the passage of floods within the boundaries of Kansk was carried out under the condition that the timing of the onset of the maximum flow on the Kan River and its tributaries coincide. The simulation results made it possible to predict local flooding of the settlement during the flood of 2021 and take preventive measures to reduce the risk of flooding. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: Vol. 839, Is. 3

Номера страниц: 32045

ISSN журнала: 17551307

Издатель: IOP Publishing Ltd

Персоны

  • Grebnev Ya.V. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Emergency Forecasting Department, EMERCOM of Russia for the Krasnoyarsk Territory, 68 Mira Ave., Krasnoyarsk, 660049, Russian Federation)
  • Moskalev A.K. (Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)

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