Abstract
The sedimentation phenomenon in multi-purpose dam reservoirs causes problems in agricultural water supply, hydropower generation, flood, and drought management.
In this regard, developing fast and straightforward methods to estimate the amount of sediment in dam reservoirs is of great importance. The present study aimed to evaluate a sediment rating curve model’s development using a time scale classification approach. Data of hydrometric Talezang Station and the Dez Dam Reservoir hydrography in southwestern Iran were used in this research. The data classified into monthly and seasonal time scales and groups of wet, dry, and flood seasons. Consequently, the results compared with the conventional model of the sediment rating curve (SRC) apply different precision criteria. The results indicate that the classification in monthly and seasonal time scales and wet, dry, and flood seasons improve the sediment load-rating model’s precision by 21, 16, and 3%, respectively. According to the reservoir hydrographic operation and the conventional model of sediment rating curve calculations, the volume of sedimentation during 40-year period is estimated 609 and 497 MCM, respectively. However, the data classification in monthly and seasonal time scales and wet, dry, and flood seasons led to the estimation of volumes of 539, 525, and 521 MCM, respectively. Therefore, it is concluded that temporal classification on a monthly scale can effectively improve the conventional sediment rating curve estimation and leads to an actual volume estimation.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
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The program/code that supports the findings of this study is available from the corresponding author upon reasonable request.
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Acknowledgements
This manuscript extracted from a research that related data is supported by Khuzestan Water and Power Authority, Ahvaz, Iran. The authors are grateful to the Authority for providing the conditions for conducting this research.
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Mohsen Moslemzadeh: Formal analysis, modeling, data gathering.
Keysan Roueinian: Formal analysis, modeling, data gathering.
Meysam Salarijazi: Investigation; methodology; project administration; resources; software; supervision; validation; writing — original draft; writing — review and editing. Authorship.
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Moslemzadeh, M., Roueinian, K. & Salarijazi, M. Improving the estimation of sedimentation in multi-purpose dam reservoirs, considering hydrography and time scale classification of sediment rating curve (case study: Dez Dam). Arab J Geosci 15, 256 (2022). https://doi.org/10.1007/s12517-021-09292-5
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DOI: https://doi.org/10.1007/s12517-021-09292-5