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contributor authorDavies, Matthew P.
contributor authorYoung, David L.
contributor authorScully, Brandan M.
contributor authorHartman, Michael A.
contributor authorChen, Jiannan
contributor authorZhan, Weiwei
contributor authorWang, Dingbao
date accessioned2026-08-20T21:03:51Z
date available2026-08-20T21:03:51Z
date copyright2026/05/19
date issued2026
identifier otherJWPED5.WWENG-2414.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313893
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 ...
publisherAmerican Society of Civil Engineers
titlePredicting the Future of Sediment: A Parametric Regression Approach to Harbor Shoaling
typeJournal Article
journal volume152
journal issue5
journal titleJournal of Waterway, Port, Coastal, and Ocean Engineering
identifier doi10.1061/JWPED5.WWENG-2414
journal fristpage04026012-1
journal lastpage04026012-13
page13
treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2026:;Volume ( 152 ):;issue: 005
contenttypeFulltext


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