Numerical modeling of changes in the bottom relief of the reservoir in the presence of gravitational waves
DOI:
https://doi.org/10.7242/1999-6691/2023.16.4.38Keywords:
mathematical modeling, shallow water reservoir, remote sensing, cadastral survey, bottom relief formation, raster model, predictive calculationsAbstract
The issues concerning the construction of precision mathematical models of hydrodynamics of wave processes and relief formation and their adaptation to variable climatic conditions and geographical features are discussed. The incompleteness of initial information is characteristic of the new problems considered in the paper, and this difficulty is overcome by using the remote sensing and cadastral survey data. The complex of algorithms created by the authors includes raster models of a dynamically changing bottom relief that are based on the results of cadastral surveys, remote sensing data and numerical simulation results. The mathematical model of transport of bottom materials makes it possible to predict the bottom relief dynamics due to the movement of water and multicomponent solid particles and to take into account soil porosity, critical shear stress values at which sediment movement begins, turbulent exchange, bottom geometry transformation, wind currents, and bottom friction. The programs developed on the basis of a set of algorithms are used to perform predictive calculations of the processes of coastal erosion and reconstruction of the bottom relief. Using the programs, the complex geometry of the reservoir bottom is represented by a raster model that takes into account the data of cadastral surveys and remote sensing, the type and characteristics of the source of water fluctuations, and the direction and speed of wind. When analyzing the state of a water body as a whole, the characteristic features of natural processes, in particular, the spatial and temporal variability of the bottom relief, are considered. Modeling the transport of sediments has shown that, in the course of time, they are formed near the coastal zone, which leads to a decrease in the slope of its bottom and a gradual shallowing of the reservoir.
Downloads
References
Sukhinov A.I., Chistyakov A.E., Protsenko E.A., Sidoryakina V.V., Protsenko S.V. Set of coupled suspended matter transport models including three-dimensional hydrodynamic processes in the coastal zone. Math. Models Comput. Simul., 2020, vol. 12, pp. 757-769. https://doi.org/10.1134/S207004822005018X
Alekseenko Е., Roux B., Sukhinov А., Kotarba R., Fougere D. Nonlinear hydrodynamics in a Mediterranean lagoon. Nonlin. Processes Geophys., 2013, vol. 20, pp. 189-198. https://doi.org/10.5194/npg-20-189-2013
Chamecki M., Chor T., Yang D., Meneveau C. Material transport in the ocean mixed layer: Recent developments enabled by large eddy simulations. Rev. Geophys., 2019, vol. 57, pp. 1338-1371. https://doi.org/10.1029/2019RG000655
DiBenedetto M.H., Ouellette N.T., Koseff J.R. Transport of anisotropic particles under waves. J. Fluid Mech., 2018, vol. 837, pp. 320-340. https://doi.org/10.1017/jfm.2017.853
Onink V., Wichmann D., Delandmeter P., Van Sebille E. The role of Ekman currents, geostrophy and Stokes drift in the accumulation of floating microplastic. J. Geophys. Res. Oceans, 2019, vol. 124, pp. 1474-1490. ttps://doi.org/10.1029/2018JC014547
Panasenko N.D., Poluyan A.Yu., Motuz N.S. Algorithm for monitoring the plankton population dynamics based on satellite sensing data. J. Phys.: Conf. Ser., 2021, vol. 2131, 032052. https://doi.org/10.1088/1742-6596/2131/3/032052
Poulain M., Mercier M.J., Brach L., Martignac M., Routaboul C., Perez E., Desjean M.C., ter Halle A. Small microplastics as a main contributor to plastic mass balance in the North Atlantic subtropical gyre. Environ. Sci. Technol., 2019, vol. 53, pp. 1157 1164. https://doi.org/10.1021/acs.est.8b05458
Prata J.C., da Costa J.P., Duarte A.C., Rocha-Santos T. Methods for sampling and detection of microplastics in water and sediment: A critical review. Trends Anal. Chem., 2019, vol. 110, pp. 150-159. https://doi.org/10.1016/j.trac.2018.10.029
Protsenko S., Sukhinova T. Mathematical modeling of wave processes and transport of bottom materials in coastal water areas taking into account coastal structures. MATEC Web Conf., 2017, vol. 132, 04002. https://doi.org/10.1051/matecconf/201713204002
Smit P.B., Janssen T.T., Herbers T.H.C. Nonlinear wave kinematics near the ocean surface. J. Phys. Oceanogr., 2017, vol. 47, pp. 1657-1673. https://doi.org/10.1175/JPO-D-16-0281.1
Sukhinov A.I., Chistyakov A.E., Protsenko E.A. Mathematical modeling of sediment transport in the coastal zone of shallow reservoirs. Math. Models Comput. Simul., 2014, vol. 6, pp. 351-363. https://doi.org/10.1134/S2070048214040097
The official website of NASA Worldview https://worldview.earthdata.nasa.gov/
The official website of Roscosmos Geoportal https://www.gptl.ru/
The official website of Earth observing system https://eos.com/landviewer/
The official website of MapInfo https://mapbasic.ru/msk61
The official website of Golden Software Support https://support.goldensoftware.com
Downloads
Published
Issue
Section
License
Copyright (c) 1970 Computational Continuum Mechanics
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.