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    Multivariate Analysis and Anomaly Detection of a US Reservoir Sedimentation Data Set 

    Source: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 005:;page 04024031-1
    Author(s): Alejandra Botero-Acosta; Amanda L. Cox; Vasit Sagan; Ibrahim Demir; Marian Muste; Paul Boyd; Chandra Pathak
    Publisher: American Society of Civil Engineers
    Abstract: Sedimentation processes in reservoirs can jeopardize their functionality and compromise dam safety. Climate change and associated hydrologic uncertainty are introducing additional stressors to US reservoirs, and data-driven ...
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    Estimating Reservoir Sedimentation Using Machine Learning 

    Source: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 004:;page 04024016-1
    Author(s): Amanda L. Cox; Deanna Meyer; Alejandra Botero-Acosta; Vasit Sagan; Ibrahim Demir; Marian Muste; Paul Boyd; Chandra Pathak
    Publisher: American Society of Civil Engineers
    Abstract: Several reservoirs across the United States are filling with sediment, which jeopardizes their functionality and increases maintenance costs. USACE developed the Reservoir Sedimentation Information (RSI) system to assess ...
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