Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115968
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.contributorResearch Institute for Land and Space-
dc.creatorHe, C-
dc.creatorStocchino, A-
dc.creatorYin, ZY-
dc.creatorDe Leo, F-
dc.creatorJin, YF-
dc.creatorChen, XS-
dc.date.accessioned2025-11-18T06:48:35Z-
dc.date.available2025-11-18T06:48:35Z-
dc.identifier.urihttp://hdl.handle.net/10397/115968-
dc.language.isoenen_US
dc.publisherFrontiers Research Foundationen_US
dc.rights© 2025 He, Stocchino, Yin, De Leo, Jin and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_US
dc.rightsThe following publication He C, Stocchino A, Yin Z-Y, De Leo F, Jin Y-F and Chen X-S (2025) Risk assessment of coastal dredging sediment plumes on the habitat of Indo-Pacific humpback dolphin (Sousa chinensis). Front. Mar. Sci. 12:1617954 is available at https://doi.org/10.3389/fmars.2025.1617954.en_US
dc.subjectCoastal dredgingen_US
dc.subjectHumpback dolphinen_US
dc.subjectPearl river estuaryen_US
dc.subjectRisk assessmenten_US
dc.subjectSediment transporten_US
dc.titleRisk assessment of coastal dredging sediment plumes on the habitat of Indo-Pacific humpback dolphin (Sousa chinensis)en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume12-
dc.identifier.doi10.3389/fmars.2025.1617954-
dcterms.abstractThe Pearl River Estuary (PRE) and Hong Kong (HK) Waters are identified as two of the most important habitats worldwide for Indo-Pacific humpback dolphin (Sousa chinensis). However, the extremely rapid growth of coastal cities and near-shore reclamation lands posed great threats to delicate marine ecosystems and protected species. Dredging operations can exert non-negligible negative impacts on humpback dolphins, with high sediment concentrations standing out as a particularly significant threat. This study aims to apply a new risk assessment approach based on computational fluid dynamics (CFD) and unsupervised machine learning technique for quantitatively estimating the risk of high turbidity to marine mammals. As an extension, the risk to the natural habitat in PRE was statistically compared among five possible dredging locations according to HK reclamation projects. The results showed that sediment plumes could be enlarged quickly if dredging sites are close to places with high density of macro-vortices, such as the north corner of Lantau Island. In terms of temporal effects, dredging under scenarios with northeast wind has a higher probability of posing significant risks to dolphin habitats. In accordance with this strategy, reliable suggestions on the choice of construction location or period could be provided to the decision-makers before or during the coastal projects. The proposed strategy can also be flexibly extended to any coastal environment, serving as a valuable example for coastal and environmental management.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFrontiers in marine science, 2025, v. 12, 1617954-
dcterms.isPartOfFrontiers in marine science-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-105013321809-
dc.identifier.eissn2296-7745-
dc.identifier.artn1617954-
dc.description.validate202511 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe author(s) declare that financial support was received for the research and/or publication of this article. This work is supported by the Research Impact Fund of the Research Grants Council of Hong Kong (R5037-18), and Shenzhen Science and Technology Program (Grant No.: KQTD20221101093555006). A.S. acknowledges the support received by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Reference Number: AoE/P-601/23-N) and by the Research Institute for Land and Space (RILS) (project ID P0049622).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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