Study into the reshaping process of large reservoir banks using remote sensing

Background . During the first 10—20 years after the creation of large reservoirs, the process of processing of coastal territories is activated, which leads to the loss of land resources, has a negative impact on the existing coastal infrastructure and changes in the depth of the reservoir as a result of activation of the process of rock accumulation, destruction of coastal slopes. Shoreline retreat is 10—15 meters per year. The paper considers the process of recycling of reservoir banks on the example of the Volgograd reservoir. Aim. Development of a methodology for studying and forecasting the process of reshaping of reservoir banks using remote sensing. Materials and methods . The data of 1980—1990 on the actual magnitude of bank reprocessing of the Volgograd reservoir were collected, processed and analyzed, and the coastal territory was typified. It is proposed to use remote sensing materials to obtain the values of coastal overbanking for the period from the 1990s to the present time. Forecasting of the process of reformation of reservoir banks is carried out on the basis of application of mathematical statistics methods. Results . On the basis of solving the set tasks, a universal new methodology for studying and forecasting reservoir bank reformation was proposed. The methodology was tested on the materials of the Volgograd reservoir. Conclusion . The proposed new methodology makes it possible to obtain data on the dynamics of the Volgograd reservoir bank reformation process and to make a forecast for the next 10 years. This methodology can be used to study the process of bank reformation of large reservoirs.

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Publication Details

Journal
Proceedings of higher educational establishments Geology and Exploration
Published
2024-08-05
DOI
https://doi.org/10.32454/0016-7762-2024-66-2-60-68
Citations
1
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.34
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article

Study into the reshaping process of large reservoir banks using remote sensing

V.N. Ekzaryan
1 citations
Proceedings of higher educational establishments Geology and Exploration
Reservoir Engineering and Simulation Methods
0.34
article

Study into the reshaping process of large reservoir banks using remote sensing

V.N. Ekzaryan
article en
1 citations

Abstract

Background . During the first 10—20 years after the creation of large reservoirs, the process of processing of coastal territories is activated, which leads to the loss of land resources, has a negative impact on the existing coastal infrastructure and changes in the depth of the reservoir as a result of activation of the process of rock accumulation, destruction of coastal slopes. Shoreline retreat is 10—15 meters per year. The paper considers the process of recycling of reservoir banks on the example of the Volgograd reservoir. Aim. Development of a methodology for studying and forecasting the process of reshaping of reservoir banks using remote sensing. Materials and methods . The data of 1980—1990 on the actual magnitude of bank reprocessing of the Volgograd reservoir were collected, processed and analyzed, and the coastal territory was typified. It is proposed to use remote sensing materials to obtain the values of coastal overbanking for the period from the 1990s to the present time. Forecasting of the process of reformation of reservoir banks is carried out on the basis of application of mathematical statistics methods. Results . On the basis of solving the set tasks, a universal new methodology for studying and forecasting reservoir bank reformation was proposed. The methodology was tested on the materials of the Volgograd reservoir. Conclusion . The proposed new methodology makes it possible to obtain data on the dynamics of the Volgograd reservoir bank reformation process and to make a forecast for the next 10 years. This methodology can be used to study the process of bank reformation of large reservoirs.

Proceedings of higher educational establishments Geology and ExplorationVol. 66(2)
Russian State Geological Prospecting University (RU)
Life below water
Openalex Percentile: Top 43%
Reservoir Engineering and Simulation Methods
0.34
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