Article(id=1223190867410797226, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20222409, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1668441600000, receivedDateStr=2022-11-15, revisedDate=1670774400000, revisedDateStr=2022-12-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1769561028577, onlineDateStr=2026-01-28, pubDate=1695571200000, pubDateStr=2023-09-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769561028577, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769561028577, creator=13701087609, updateTime=1769561028577, updator=13701087609, issue=Issue{id=1223190866320278179, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='9', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769561028318, creator=13701087609, updateTime=1769562015483, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223195006870082478, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223195006870082479, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223190866320278179, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=40, endPage=43, ext={EN=ArticleExt(id=1223190867649872556, articleId=1223190867410797226, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Numerical Simulation of Effect of Channel Morphology Reconfiguration on Migration and Diffusion of Pollutants in Urban Stream, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

A typical urban channelized (Urban) channel in Liangtan River, Chongqing, was reshaped into six types of channel by a numerical simulation tool named RiverBuilder. And then a two-dimensional hydrodynamic convection-diffusion model was constructed to study the effect of channel morphology reconfiguration on migration and diffusion index, such as water turn-over time (T_TOT), pollutant concentration curve (C_CC), pollutant reaching maximum time (M_MT) and pollutant arriving time (A_AT). The results show that the channel morphology reconfigured by changing the width (W_bf), depth (D_bf), and meandering (M_d) of the Urban channel can inhibit the migration and diffusion of pollutants to a certain extent, but the influencing effect is not as good as that of the composite channel based on the variable D_bf. Meanwhile, the near-natural (Natural) channel has the strongest anti-pollute capacity and inhibiting ability of pollutants diffusion, indicating it is more suitable for the self-purification process of pollutants. It is confirmed that the channel morphology based on disordered and complex changes in W_bf, D_bf, and M_d is closer to the Natural channel, which can provide good eco-hydraulic conditions for the improvement of river water quality.

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以重庆市梁滩河某典型渠化河道（Urban）为例，采用RiverBuilder数值模拟工具将河道形态改造为6种河道，利用构建的二维水动力-对流扩散模型考察了河道形态重塑对河流水体更替时间（T_TOT）、污染物浓度曲线（C_CC）、污染物达到最大值时间（M_MT）和污染物达到下游边界时间（A_AT）等污染物迁移扩散指标的影响。结果表明，通过分别改变Urban河道的宽度（W_bf）、深度（D_bf）和蜿蜒度（M_d）3个几何变量来重塑河道形态，虽可在一定程度上抑制污染物的迁移扩散，但效果不及基于变量D_bf进行多变量组合变化的复合河道。同时，近自然（Natural）河道的抗污能力及污染物扩散抑制能力最强，更适于河流污染物的自净过程。研究证实，将W_bf、D_bf、M_d进行无序复杂变化营造的河道形态更接近Natural河道，能为河流水体水质改善提供良好的生态水力条件。

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邓淋月（1998-），女，硕士研究生，研究方向为河流生态修复，E-mail：331963091@qq.com

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邓淋月（1998-），女，硕士研究生，研究方向为河流生态修复，E-mail：331963091@qq.com

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