Daily Reservoir Sedimentation Model: Case Study from the Fena Valley Reservoir, Guam
Publication: Journal of Hydraulic Engineering
Volume 143, Issue 9
Abstract
A model to compute reservoir sedimentation rates at daily timescales is presented. The model uses streamflow and sediment load data from nearby stream gauges to obtain an initial estimate of sediment yield for the reservoir’s watershed; it is then calibrated to the total deposition calculated from repeat bathymetric surveys. Long-term changes to reservoir trapping efficiency are also taken into account. The model was applied to the Fena Valley Reservoir, a water supply reservoir on the island of Guam. This reservoir became operational in 1951 and was recently surveyed in 2014. The model results show that the highest rate of deposition occurred during two typhoons (Typhoon Alice in 1953 and Typhoon Tingting in 2004); each storm decreased reservoir capacity by approximately 2–3% in only a few days. The presented model can be used to evaluate the impact of an extreme event, or it can be coupled with a watershed runoff model to evaluate potential impacts to storage capacity as a result of climate change or other hydrologic modifications.
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Acknowledgments
The authors are grateful to Mr. Danny Dungca (Department of Public Works, Naval Facilities Engineering Command Marianas) for general logistics, for access to the U.S. Navy Base and reservoir, and for providing copies of preconstruction documents. The authors would also like to acknowledge Doug Dean and Joan Lopez for processing the sediment samples; the military personnel at the U.S. Navy Explosive Ordnance Disposal Mobile Unit 5 for providing safety support; and the personnel at the Water and Environmental Research Institute of the Western Pacific at the University of Guam Marine Laboratory for use of their watercraft. This study was part of the Strategic Environmental Research and Development Program, Project No. RC-2340.
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©2017 American Society of Civil Engineers.
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Received: Dec 16, 2015
Accepted: Mar 10, 2017
Published online: Jun 21, 2017
Published in print: Sep 1, 2017
Discussion open until: Nov 21, 2017
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