Estimation of sedimentation rate and storage capacity of reservoir dams using satellite imagery

Articles in Press

Document Type : Research Paper

Authors

1 MSc Student, Water Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

2 Associated Professor, Dep. of Water Engineering, Faculty of Water and Soil, Gorgan University of Agricultural Sciences and Natural Resources, Golestan.

3 Associated Prof, Water Engineering Department, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

Abstract

reservoirs are very important for storing rainwater and floods, and water shortage management. In nearly all reservoirs, storage capacity is steadily lost due to trapping and accumulation of sediment. Sediment deposition in water reservoirs has major implications for storage capacity, reservoir lifetime and water quality. The present study aimed to evaluate the temporal dynamics of water stored and sedimentation rate in a reservoir using remote sensing data. For this purpose, the study was carried out in O. H. Ivie reservoir located in the America country. The techniques used to carry out this study have been pre-processing of Landsat 8 images, modeling and identifying water pixels using MNDWI index, evaluating reservoir capacity, and compression of results with recent bathymetric survey data to assessment sedimentation rate. According to the results, the average errors of computing the volume of water stored in the reservoir was about 9%. Based on this, the storage capacity of O. H. Ivie reservoir has decreased from 695 million cubic meters at the beginning of operation (1991) to 472 million cubic meters in 2019. The results showed that the lost storage capacity of the reservoir due to sedimentation is about 32% of the original volume and the annual sedimentation rate is 1.4%. Also, by evaluating the obtained results, the average height of sediment deposited in the reservoir between 2004 and 2019 was estimated to be about 9 meters. This research confirmed that remote sensing can estimate storage capacity and sedimentation rate in the reservoir with minimal cost and time.

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Iranian Journal of Soil and Water Research

Articles in Press, Accepted Manuscript
Available Online from 10 June 2024

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