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dc.contributor.authorDavies, Matthew P.
dc.contributor.authorYoung, David L.
dc.contributor.authorScully, Brandan M.
dc.contributor.authorHartman, Michael A.
dc.contributor.authorChen, Jiannan
dc.contributor.authorZhan, Weiwei
dc.contributor.authorWang, Dingbao
dc.date.accessioned2026-08-20T21:03:51Z
dc.date.available2026-08-20T21:03:51Z
dc.date.copyright2026/05/19
dc.date.issued2026
dc.identifier.otherJWPED5.WWENG-2414.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313893
dc.description.abstractAbstract Accurate prediction of shoaling rates and dredge volumes is critical for optimizing the USACE’s navigation channel maintenance strategies and controlling dredging costs. Existing methodologies—such as traditional linear regression and advanced ... Practical Applications Accurately predicting shoaling in navigation channels is a major challenge for coastal engineers, port authorities, and policymakers. Current methods often rely on simple trend lines or models that do not capture the true ...
dc.publisherAmerican Society of Civil Engineers
dc.titlePredicting the Future of Sediment: A Parametric Regression Approach to Harbor Shoaling
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue5
dc.journal.titleJournal of Waterway, Port, Coastal, and Ocean Engineering
dc.identifier.doi10.1061/JWPED5.WWENG-2414
dc.journal.fristpage04026012-1
dc.journal.lastpage04026012-13
dc.page13
dc.treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2026:;Volume ( 152 ):;issue: 005
dc.contenttypeFulltext


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