Article(id=1321866328277889194, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321866297609146910, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1747065600000, receivedDateStr=2025-05-13, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793087091749, onlineDateStr=2026-10-27, pubDate=1779638400000, pubDateStr=2026-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793087091749, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793087091749, creator=13701087609, updateTime=1793087091749, updator=13701087609, issue=Issue{id=1321866297609146910, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='5', pageStart='1', pageEnd='312', issueExtLink='null', onlineDate='null', pubDate='1779638400000', pubDateStr='2026-05-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793087084438, creator='13701087609', updateTime=1793094562481, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897662853533805, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321866297609146910, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897662853533806, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321866297609146910, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=135, endPage=141, ext={EN=ArticleExt(id=1321866329523597483, articleId=1321866328277889194, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Numerical Simulation Analysis of Dust Dispersion Law in the Open-Pit Stope of Qidashan Mine, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=
To address the issue that the dust dispersion mechanism in open-pit mines under the influence of multiple factors remains unclear, this study takes the Qidashan open-pit mine as the engineering background. A numerical simulation method was employed to analyze the effects of multiple factors, including wind speed, wind direction, dust particle size and dust source location, on the dust dispersivity. Furthermore, the spatiotemporal distribution characteristics of dust under multiple dust source conditions were investigated. A three-dimensional flow field model of the Qidashan stope was constructed based on on-site meteorological data. Simulation analyses of the dust dispersivity were conducted under various working conditions. The results indicate that dust particle size is the primary factor influencing the dust dispersivity; the smaller the particle size, the higher the dispersivity. Wind speed ranks second, exerting a significant effect on dust particles larger than 30 μm. In contrast, dust source location and wind direction have relatively minor effects on the dust dispersivity. Moreover, under multiple dust source conditions, dust accumulates within the stope and disperses along the wind direction as the duration of continuous dust production extends. After dust production ceases, the dust concentration gradually decreases. The dust dispersion velocities from different source points exhibit significant differences due to variations in their locations. Affected jointly by terrain and airflow, the PM2.5 concentration exhibits a variation pattern of "increase-decrease-increase" as the stope depth increases. Based on the research findings, relevant measures and recommendations for dust prevention in production at the Qidashan open-pit stope are proposed, with a focus on dust source control, suppression of the transmission process, and differentiated precise prevention and control.
, authors=Feng Wang
1, Yang Cao
1, Zhentao Hu
1, Chao Li
2, Zhanguo Lu
1, Yuqi Zhao
1, Yunqi Zhao
2, authorsList=Feng Wang, Yang Cao, Zhentao Hu, Chao Li, Zhanguo Lu, Yuqi Zhao, Yunqi Zhao, authorCompany=null, correspAuthors=Yang Cao, 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=1321866333340414125, articleId=1321866328277889194, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=齐大山矿露天采场粉尘逸散规律数值模拟分析, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=
针对多因素影响下露天矿坑粉尘逸散机理尚不明确的问题,以齐大山露天矿为工程背景,采用数值模拟方法分析风速、风向、粉尘粒径及尘源位置等多因素对粉尘弥散率的影响,并对多尘源条件下粉尘的时空分布特征开展研究。基于现场气象数据构建齐大山采场三维流场模型,在不同工况下对粉尘弥散率进行模拟分析。结果表明,粉尘粒径是影响粉尘弥散率的首要因素,粒径越小,弥散率越高;其次为风速,对粒径大于30 μm的粉尘影响显著;尘源位置和风向对粉尘弥散率影响相对较小。此外,多尘源条件下,随持续产尘时间延长,粉尘在采场内积聚并沿风向逸散,停止产尘后,粉尘浓度逐渐降低,不同尘源点的粉尘逸散速度因位置差异存在显著不同。受地形和风流共同影响,PM2.5浓度随采场深度增加呈“增加—减小—增加”的变化规律。基于研究成果,对齐大山露天采场生产防尘提出相关措施建议,重点关注粉尘源头控制、传播过程抑制及差异化精准防控。
, authors=王峰
1, 曹洋
1, 胡振涛
1, 李超
2, 陆占国
1, 赵玉琪
1, 赵昀奇
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1.鞍钢集团矿业有限公司齐大山分公司,辽宁 鞍山市 114000, bio={"content":"
王峰(1973—),男,辽宁鞍山人,硕士,高级工程师,主要从事采矿及选矿生产等相关工作。E-mail: zhaoyuqi4599@163.com
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王峰(1973—),男,辽宁鞍山人,硕士,高级工程师,主要从事采矿及选矿生产等相关工作。E-mail: zhaoyuqi4599@163.com
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