Article(id=1314908040990647208, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907935172551117, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.03.003, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1778083200000, receivedDateStr=2026-05-07, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428106780, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428106780, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428106780, creator=13701087609, updateTime=1791428106780, updator=13701087609, issue=Issue{id=1314907935172551117, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='3', pageStart='1', pageEnd='297', issueExtLink='null', onlineDate='null', pubDate='1780243200000', pubDateStr='2026-06-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791428081553, creator='13701087609', updateTime=1791430444568, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314917846770082179, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907935172551117, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314917846770082180, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907935172551117, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=26, endPage=39, ext={EN=ArticleExt(id=1314908041288442794, articleId=1314908040990647208, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Numerical Simulation of Transport and Dispersion of Plume in Deep-Sea Mining:Progress, Challenges and Prospects, columnId=1314908041200362409, journalTitle=Mining and Metallurgical Engineering, columnName=SPECIAL TOPIC ON BREAKTHROUGHS IN KEY TECHNOLOGIES AND COORDINATED DEVELOPMENT OF INDUSTRIAL CHAINS FOR DEEP-SEA MINERAL RESOURCE EXPLOITATION, runingTitle=null, highlight=null, articleAbstract=

This paper reviews the research progress in numerical simulation of transport and dispersion of plumes generated during deep-sea mining. Based on the formation mechanisms of plumes, the differences between dynamics of collector plumes and midwater plumes are compared in terms of discharge, transport driven by buoyancy and passive advection. By comparing the advantages and disadvantages of widely used near-field and far-field numerical frameworks in terms of applicable scales, computational efficiency, and physical accuracy, the parameterization methods for key physical processes are illustrated. Aiming at the bottleneck of insufficient deep-sea environmental data, the limitations and core challenges in current laboratory flume experiments and in-situ observations for model verification are further analyzed. On this basis, a prospect for the development direction are finally offered, including integration of artificial intelligence and advanced data assimilation techniques with establishment of standardized model evaluation framework.

, authors=Zuoqian HAO^{1, 2}, Meng DONG³, Tao WANG³, Changwei BIAN^{1, 4}, authorsList=Zuoqian HAO, Meng DONG, Tao WANG, Changwei BIAN, authorCompany=null, correspAuthors=Changwei BIAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314908042597065645, articleId=1314908040990647208, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=深海采矿扰动羽流输运和扩散的数值模拟：进展、挑战与展望, columnId=1314908041376523179, journalTitle=矿冶工程杂志, columnName=深海矿产资源开发关键技术突破与产业链协同发展专题, runingTitle=null, highlight=null, articleAbstract=

梳理了深海采矿扰动羽流输运和扩散数值模拟的研究进展。从羽流形成机制入手，对比了近底羽流与尾水羽流在排放、浮力驱动及被动输运阶段的动力学差异。通过对比近场、远场主流数值框架在适用尺度、计算效率与物理刻画精度上的优劣，解释了关键物理过程的参数化方法。针对深海环境数据稀缺的瓶颈，深入剖析了现阶段实验室水槽与原位观测在支撑模型验证时的不足与核心挑战。在此基础上，对融合人工智能、先进数据同化技术以及建立标准化模型测试框架等前沿发展方向进行了展望。

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郝祚千（1999—），男，河北石家庄人，博士研究生，主要研究方向为海洋沉积动力学。E-mail: haozuoqian@stu.ouc.edu.cn

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郝祚千（1999—），男，河北石家庄人，博士研究生，主要研究方向为海洋沉积动力学。E-mail: haozuoqian@stu.ouc.edu.cn

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