| Issue |
E3S Web Conf.
Volume 486, 2024
IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)
|
|
|---|---|---|
| Article Number | 01029 | |
| Number of page(s) | 11 | |
| Section | Agritechnologies and Environmental Engineering for Sustainable Environmental Health | |
| DOI | https://doi.org/10.1051/e3sconf/202448601029 | |
| Published online | 07 February 2024 | |
Development of a cyber-physical model for the movement of surface and ground waters during a flood in Arctic conditions
1 Siberian Federal University, 79 Svobodny Pr., 660041 Krasnoyarsk, Russia
2 Emergency Forecasting Department, Main Directorate of the Ministry of Emergency Situations of Russia for the Krasnoyarsk Territory, 68 Mira Pr., Krasnoyarsk, Russia
* Corresponding author: yaroslav.grebnev@gmail.com
The development of physical models that take into account the combined influence of the dynamics of surface and ground waters is an important task for solving the problem of flooding of settlements during floods. These models allow improving the accuracy of modeling considering more complex physical processes, adapting to changing climatic conditions and integrating with other control systems. This paper explores the use of cyber-physical methods for modeling the flood zones of settlements during floods. The MODFLOW software product was used to simulate the flood zones of settlements. The developed model makes it possible to analyze hydrological processes, including groundwater dynamics and interaction with surface water bodies. Neural network models have also been developed and tested that use geographic, meteorological, hydrological, and structure and infrastructure data to predict the boundaries of flood zones.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.