Article(id=1240689599975051449, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1240689590315569990, 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=1721836800000, receivedDateStr=2024-07-25, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773733051532, onlineDateStr=2026-03-17, pubDate=1739980800000, pubDateStr=2025-02-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773733051532, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773733051532, creator=13701087609, updateTime=1773733051532, updator=13701087609, issue=Issue{id=1240689590315569990, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='2', pageStart='593', pageEnd='1184', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773733049228, creator=13701087609, updateTime=1773733150042, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1240690013239825123, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1240689590315569990, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240690013239825124, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1240689590315569990, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=991, endPage=1003, ext={EN=ArticleExt(id=1240689600939741456, articleId=1240689599975051449, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Spatial and temporal distribution characteristics, ecological risk assessment and source analysis of heavy metals in surface sediments of Hasuhai Lake, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=
Hasuhai Lake was selected as the research object, where surface sediment samples were collected from 19 sampling points during three water periods: April 2023 (dry season), July 2023 (wet season), and September 2023 (normal season). The concentrations of seven heavy metals (As, Cr, Cd, Cu, Pb, Zn, and Hg) were determined, with all metals except Cr being detected. Subsequently, their pollution levels and spatial distribution characteristics were analyzed. The geo-accumulation index (Igeo) and potential ecological risk index (RI) were used to assess the potential ecological risks of six heavy metals, respectively. The correlation analysis (CA), principal component analysis (PCA) and positive matrix factorization (PMF) models were utilized to analyze the sources and relative contributions of heavy metals in surface sediments. The results indicated that the average contents of six heavy metals in both dry and wet season exceeded the background values of Inner Mongolia stream sediments, and the average contents of five heavy metals except As in normal season exceeded the background values of Inner Mongolia stream sediments. The average contents of Cd and Hg exceeded the background values of Chinese stream sediments in the three water periods. Spatially, the distribution of heavy metals content in surface sediments of each water period is significantly different. The high value of heavy metals content in the dry season is concentrated in the east and west of the lake area, the wet season is mainly concentrated in the north and south of the lake area, and the normal season is mainly concentrated in the middle of the lake area. The results of the geo-accumulation index method and the potential ecological risk index method revealed that Cd and Hg were the main heavy metals elements causing ecological risks in the three water periods, and the mean values of RI in each water period were 590.42, 503.73 and 570.07 respectively, indicating a strong potential ecological risk. The sum of the contribution rates of Cd and Hg to RI values in the three water periods exceeded 90%. The main sources of heavy metals in surface sediments were identified as agricultural production activities and transportation (32.5%), industrial activities (22.7%), natural sources (20.1%), and mining activities (24.7%).
, correspAuthors=Shao-yong LU, 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, authorCompany=null, fund=null, authors=null, authorsList=He-yu ZHANG, Jing ZHANG, Shao-yong LU, Zhen-yang HAN, Zu-qin SHI, Rong-she ZHANG), CN=ArticleExt(id=1240689609336738732, articleId=1240689599975051449, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=哈素海表层沉积物重金属时空分布特征、生态风险评价及来源解析, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=
选取哈素海为研究对象,分别于2023年4月(枯水期)、2023年7月(丰水期)和2023年9月(平水期)各采集19个采样点的表层沉积物样品并测定了7种重金属(As、Cr、Cd、Cu、Pb、Zn和Hg)的含量(除Cr以外的重金属均检出),分析其污染及空间分布特征.采用地累积指数法(Igeo)和潜在生态风险指数法(RI)对6种重金属污染程度和潜在生态风险进行了评估,并结合相关性分析(CA)、主成分分析(PCA)和正定矩阵因子分解(PMF)模型解析了表层沉积物重金属的来源及相对贡献.结果表明,枯水期和丰水期6种重金属含量的平均值均超过内蒙水系沉积物背景值,平水期除As以外的5种重金属含量的平均值均超过内蒙水系沉积物背景值,其中Cd和Hg含量的平均值在3个水期均超过中国水系沉积物背景值;空间上,各水期表层沉积物重金属含量分布存在明显差异,枯水期重金属含量高值集中在湖区东西部,丰水期主要集中在湖区南北部,平水期则主要集中在湖区中部;地累积指数法结果和潜在生态风险指数法结果均表明Cd和Hg是造成3个水期生态风险的主要重金属元素,各水期RI均值分别为590.42、503.73和570.07,整体表现为强潜在生态风险水平,Cd和Hg在3个水期对RI值的贡献率之和均超过了90%;表层沉积物重金属的主要来源为农业生产活动和交通运输、工业活动、自然源和采矿活动,相对贡献率分别为32.5%、22.7%、20.1%和24.7%.
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1.National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1240689610188181507, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, authorId=1240689609823278065, language=CN, stringName=张贺玉, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.中国环境科学研究院,湖泊水污染治理与生态修复技术国家工程实验室,北京 100012, bio={"content":"
张贺玉(1999-),男,湖北天门人,中国环境科学研究院硕士研究生,主要从事湖泊水体富营养化修复研究.发表论文1篇. 2446485042@qq.com.
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张贺玉(1999-),男,湖北天门人,中国环境科学研究院硕士研究生,主要从事湖泊水体富营养化修复研究.发表论文1篇. 2446485042@qq.com.
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1.中国环境科学研究院,湖泊水污染治理与生态修复技术国家工程实验室,北京 100012)])]), Author(id=1240689612088201272, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=lushy2000@163.com, emailSecond=null, emailThird=null, correspondingAuthor=1, authorType=1, ext={EN=AuthorExt(id=1240689612214030412, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, authorId=1240689612088201272, language=EN, stringName=Shao-yong LU, firstName=Shao-yong, middleName=null, lastName=LU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1240689612310499415, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, authorId=1240689612088201272, language=CN, stringName=卢少勇, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.中国环境科学研究院,湖泊水污染治理与生态修复技术国家工程实验室,北京 100012, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1240689609642922964, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, xref=1., ext=[AuthorCompanyExt(id=1240689609651311573, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, companyId=1240689609642922964, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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1.National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1240689612872536205, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, authorId=1240689612423745639, language=CN, stringName=韩镇阳, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.中国环境科学研究院,湖泊水污染治理与生态修复技术国家工程实验室,北京 100012, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1240689609642922964, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, xref=1., ext=[AuthorCompanyExt(id=1240689609651311573, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, companyId=1240689609642922964, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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1.National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1240689613359075510, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, authorId=1240689613027725468, language=CN, stringName=石祖秦, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.中国环境科学研究院,湖泊水污染治理与生态修复技术国家工程实验室,北京 100012, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1240689609642922964, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, xref=1., ext=[AuthorCompanyExt(id=1240689609651311573, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, companyId=1240689609642922964, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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2, address=
2.Zhejiang Industry Polytechnic College, Shaoxing 312099, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1240689613799477475, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, authorId=1240689613493293251, language=CN, stringName=张荣社, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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1.National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China), AuthorCompanyExt(id=1240689609659700182, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, companyId=1240689609642922964, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
1.中国环境科学研究院,湖泊水污染治理与生态修复技术国家工程实验室,北京 100012)]), AuthorCompany(id=1240689609735197667, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, xref=2., ext=[AuthorCompanyExt(id=1240689609743586276, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, companyId=1240689609735197667, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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2.浙江工业职业技术学院,浙江 绍兴 312099)])], figs=[ArticleFig(id=1240689616706130312, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Fig.1, caption=
Sampling sites of surface sediment in Hasuhai Lake, figureFileSmall=p+IYTt6tu9Zko5uV3S/IDg==, figureFileBig=XzP16jVqdEpP66gSJo9WIg==, tableContent=null), ArticleFig(id=1240689616840348055, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=图1, caption=
哈素海表层沉积物采样点位示意, figureFileSmall=p+IYTt6tu9Zko5uV3S/IDg==, figureFileBig=XzP16jVqdEpP66gSJo9WIg==, tableContent=null), ArticleFig(id=1240689617054257589, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Fig.2, caption=
Spatial distribution of heavy metals content in surface sediments during dry periods in Hasuhai Lake, figureFileSmall=6mtKBE6OS/aIdCJCgPUPGg==, figureFileBig=xk1lYry3ltz/DcKhGqDPqw==, tableContent=null), ArticleFig(id=1240689617150726591, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=图2, caption=
哈素海不同水期表层沉积物重金属含量空间分布, figureFileSmall=6mtKBE6OS/aIdCJCgPUPGg==, figureFileBig=xk1lYry3ltz/DcKhGqDPqw==, tableContent=null), ArticleFig(id=1240689617284944338, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Fig.3, caption=
Geoaccumulation index of surface sediments during different water periods in Hasuhai Lake, figureFileSmall=4ic+nz45V3bm47G0iUxtjQ==, figureFileBig=fLSI/cTwaxcREhiI0DFqBA==, tableContent=null), ArticleFig(id=1240689617393996255, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=图3, caption=
哈素海不同水期表层沉积物地累积指数分布, figureFileSmall=4ic+nz45V3bm47G0iUxtjQ==, figureFileBig=fLSI/cTwaxcREhiI0DFqBA==, tableContent=null), ArticleFig(id=1240689617553379821, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Fig.4, caption=
Correlation analysis of heavy metals in surface sediments in Hasuhai Lake, figureFileSmall=LFuSJ+5+YOjY3c3d7WqZsw==, figureFileBig=xjPY7zjoL/LoPtdIIDBMEw==, tableContent=null), ArticleFig(id=1240689617662431733, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=图4, caption=
哈素海表层沉积物重金属相关系数红色表示正相关,蓝色表示负相关;椭圆大小和颜色的深浅表示相关性系数绝对值的大小;*、**和***分别表示在0.05、0.01和0.001上水平显著
, figureFileSmall=LFuSJ+5+YOjY3c3d7WqZsw==, figureFileBig=xjPY7zjoL/LoPtdIIDBMEw==, tableContent=null), ArticleFig(id=1240689617809232388, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Fig.5, caption=
Source apportionment of PMF model for heavy metals in surface sediments in Hasuhai Lake, figureFileSmall=Xlo5lqZmtbkKCSlOvUrQyw==, figureFileBig=qgqUoOrnLq+I0510cl3hkA==, tableContent=null), ArticleFig(id=1240689617943450129, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=图5, caption=
哈素海表层沉积物重金属PMF模型来源解析, figureFileSmall=Xlo5lqZmtbkKCSlOvUrQyw==, figureFileBig=qgqUoOrnLq+I0510cl3hkA==, tableContent=null), ArticleFig(id=1240689618035724824, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Table 1, caption=
Classification standard of evaluation method for heavy metals pollution in sediments
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地累积指数(Igeo) | 潜在生态风险指数 | 多种重金属综合潜在生态风险指数(RI) |
|---|
| 指数 | 风险等级 | 指数 | 风险等级 | 指数 | 风险等级 |
|---|
| Igeo<0 | 无污染 | <40 | 轻度生态风险 | RI<110 | 轻度生态风险 |
| 0≤Igeo<1 | 轻度污染 | 40≤ <80 | 中生态风险 | 110≤RI<220 | 中生态风险 |
| 1≤Igeo<2 | 偏中度污染 | 80≤ <160 | 较强生态风险 | 220≤RI<440 | 较强生态风险 |
| 2≤Igeo<3 | 中度污染 | 160≤<320 | 强生态风险 | 440≤RI<880 | 强生态风险 |
| 3≤Igeo<4 | 偏重度污染 | Er≥320 | 极强生态风险 | RI>880 | 极强生态风险 |
| 4≤Igeo<5 | 重度污染 | — | — | — | — |
| Igeo≥5 | 极重度污染 | — | — | — | — |
), ArticleFig(id=1240689618203496999, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=表1, caption=
沉积物重金属污染评价方法分级标准
, figureFileSmall=null, figureFileBig=null, tableContent=
| 地累积指数(Igeo) | 潜在生态风险指数 | 多种重金属综合潜在生态风险指数(RI) |
|---|
| 指数 | 风险等级 | 指数 | 风险等级 | 指数 | 风险等级 |
|---|
| Igeo<0 | 无污染 | <40 | 轻度生态风险 | RI<110 | 轻度生态风险 |
| 0≤Igeo<1 | 轻度污染 | 40≤ <80 | 中生态风险 | 110≤RI<220 | 中生态风险 |
| 1≤Igeo<2 | 偏中度污染 | 80≤ <160 | 较强生态风险 | 220≤RI<440 | 较强生态风险 |
| 2≤Igeo<3 | 中度污染 | 160≤<320 | 强生态风险 | 440≤RI<880 | 强生态风险 |
| 3≤Igeo<4 | 偏重度污染 | Er≥320 | 极强生态风险 | RI>880 | 极强生态风险 |
| 4≤Igeo<5 | 重度污染 | — | — | — | — |
| Igeo≥5 | 极重度污染 | — | — | — | — |
), ArticleFig(id=1240689618367074868, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Table 2, caption=
Statistics of heavy metals content in surface sediments during different water periods in Hasuhai Lake
, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 数理统计参数 | 重金属 |
|---|
| As | Cd | Cu | Pb | Zn | Hg |
|---|
| 枯水期 | 最大值(mg/kg) | 16.90 | 0.31 | 40.00 | 40.00 | 96.00 | 0.468 |
| 最小值(mg/kg) | 5.85 | 0.07 | 16.00 | 20.00 | 60.00 | 0.062 |
| 平均值±标准差(mg/kg) | 9.39±3.28 | 0.19±0.06 | 27.95±7.14 | 31.05±6.20 | 76.95±9.54 | 0.18±0.10 |
| 丰水期 | 最大值(mg/kg) | 17.80 | 1.70 | 77.00 | 50.00 | 107 | 0.096 |
| 最小值(mg/kg) | 6.32 | 0.38 | 10.00 | 18.00 | 56 | 0.050 |
| 平均值±标准差(mg/kg) | 12.03±3.42 | 1.00±0.39 | 33.32±18.56 | 33.00±9.47 | 74.89±14.81 | 0.07±0.01 |
| 平水期 | 最大值(mg/kg) | 22.77 | 1.49 | 70.36 | 66.70 | 131.59 | 0.154 |
| 最小值(mg/kg) | 3.93 | 0.72 | 6.74 | 25.97 | 44.93 | 0.033 |
| 平均值±标准差(mg/kg) | 7.91±5.58 | 1.14±0.19 | 30.33±15.13 | 40.17±10.84 | 79.38±21.32 | 0.08±0.03 |
| 全年 | 变异系数(%) | 45.95 | 63.18 | 46.97 | 27.99 | 20.49 | 72.58 |
| 中位值(mg/kg) | 8.66 | 0.86 | 27.80 | 33 | 75.00 | 0.08 |
| 背景值 | 内蒙古水系沉积物背景值(mg/kg) | 9.15 | 0.107 | 17.70 | 20.90 | 56.80 | 0.014 |
| 中国水系沉积物背景值(mg/kg) | 12.1 | 0.19 | 31.70 | 31.00 | 88.00 | 0.05 |
), ArticleFig(id=1240689618539041349, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=表2, caption=
哈素海不同水期表层沉积物重金属含量统计
, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 数理统计参数 | 重金属 |
|---|
| As | Cd | Cu | Pb | Zn | Hg |
|---|
| 枯水期 | 最大值(mg/kg) | 16.90 | 0.31 | 40.00 | 40.00 | 96.00 | 0.468 |
| 最小值(mg/kg) | 5.85 | 0.07 | 16.00 | 20.00 | 60.00 | 0.062 |
| 平均值±标准差(mg/kg) | 9.39±3.28 | 0.19±0.06 | 27.95±7.14 | 31.05±6.20 | 76.95±9.54 | 0.18±0.10 |
| 丰水期 | 最大值(mg/kg) | 17.80 | 1.70 | 77.00 | 50.00 | 107 | 0.096 |
| 最小值(mg/kg) | 6.32 | 0.38 | 10.00 | 18.00 | 56 | 0.050 |
| 平均值±标准差(mg/kg) | 12.03±3.42 | 1.00±0.39 | 33.32±18.56 | 33.00±9.47 | 74.89±14.81 | 0.07±0.01 |
| 平水期 | 最大值(mg/kg) | 22.77 | 1.49 | 70.36 | 66.70 | 131.59 | 0.154 |
| 最小值(mg/kg) | 3.93 | 0.72 | 6.74 | 25.97 | 44.93 | 0.033 |
| 平均值±标准差(mg/kg) | 7.91±5.58 | 1.14±0.19 | 30.33±15.13 | 40.17±10.84 | 79.38±21.32 | 0.08±0.03 |
| 全年 | 变异系数(%) | 45.95 | 63.18 | 46.97 | 27.99 | 20.49 | 72.58 |
| 中位值(mg/kg) | 8.66 | 0.86 | 27.80 | 33 | 75.00 | 0.08 |
| 背景值 | 内蒙古水系沉积物背景值(mg/kg) | 9.15 | 0.107 | 17.70 | 20.90 | 56.80 | 0.014 |
| 中国水系沉积物背景值(mg/kg) | 12.1 | 0.19 | 31.70 | 31.00 | 88.00 | 0.05 |
), ArticleFig(id=1240689618711007833, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Table 3, caption=
The average content of heavy metals in surface sediments of other lakes in Inner Mongolia
, figureFileSmall=null, figureFileBig=null, tableContent=
| 湖泊 | 采样年份 | 重金属(mg/kg) |
|---|
| As | Cd | Cu | Pb | Zn | Hg |
|---|
| 哈素海(本研究) | 2023 | 9.78 | 0.78 | 30.53 | 34.74 | 77.07 | 0.11 |
| 哈素海[15] | 2014 | 13.76 | 0.05 | 32.29 | 28.25 | 128.10 | 0.04 |
| 乌梁素海[28] | 2021 | 3.64 | 0.43 | 53.74 | 5.86 | 94.69 | 0.02 |
| 呼伦湖[29] | 2020 | 7.22 | 0.33 | 19.32 | 17.63 | 71.36 | — |
| 达里诺尔湖[30] | 2018 | 13.87 | 0.19 | 21.66 | 18.77 | 56.67 | — |
| 岱海[31] | 2010 | — | 0.21 | 39.4 | 29.9 | 102.6 | — |
| 哈马太湖[32] | 2020 | 20.21 | 0.80 | 15.22 | 5.32 | 33.16 | — |
), ArticleFig(id=1240689618815865448, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=表3, caption=
内蒙古其他湖泊表层沉积物重金属平均含量
, figureFileSmall=null, figureFileBig=null, tableContent=
| 湖泊 | 采样年份 | 重金属(mg/kg) |
|---|
| As | Cd | Cu | Pb | Zn | Hg |
|---|
| 哈素海(本研究) | 2023 | 9.78 | 0.78 | 30.53 | 34.74 | 77.07 | 0.11 |
| 哈素海[15] | 2014 | 13.76 | 0.05 | 32.29 | 28.25 | 128.10 | 0.04 |
| 乌梁素海[28] | 2021 | 3.64 | 0.43 | 53.74 | 5.86 | 94.69 | 0.02 |
| 呼伦湖[29] | 2020 | 7.22 | 0.33 | 19.32 | 17.63 | 71.36 | — |
| 达里诺尔湖[30] | 2018 | 13.87 | 0.19 | 21.66 | 18.77 | 56.67 | — |
| 岱海[31] | 2010 | — | 0.21 | 39.4 | 29.9 | 102.6 | — |
| 哈马太湖[32] | 2020 | 20.21 | 0.80 | 15.22 | 5.32 | 33.16 | — |
), ArticleFig(id=1240689618920723061, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Table 4, caption=
Potential ecological risk index values of surface sediments during different water periods in Hasuhai Lake
, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 水期 | 类型 |  | RI |
|---|
| As | Cd | Cu | Pb | Zn | Hg |
|---|
| 潜在生态风险指数统计 | 枯水期 | 最大值 | 18.47 | 86.92 | 11.30 | 9.57 | 1.69 | 1337.14 | 1445.86 |
| 最小值 | 6.39 | 19.63 | 4.52 | 4.78 | 1.06 | 177.14 | 244.64 |
| 平均值 | 10.26 | 53.86 | 7.89 | 7.43 | 1.35 | 509.62 | 590.42 |
| 丰水期 | 最大值 | 19.45 | 476.64 | 21.75 | 11.96 | 1.88 | 274.29 | 684.39 |
| 最小值 | 6.91 | 106.54 | 2.82 | 4.31 | 0.99 | 142.86 | 298.95 |
| 平均值 | 13.15 | 279.78 | 9.41 | 7.89 | 1.32 | 192.18 | 503.73 |
| 平水期 | 最大值 | 24.88 | 417.51 | 19.88 | 15.96 | 2.32 | 439.33 | 853.61 |
| 最小值 | 4.29 | 202.96 | 1.90 | 6.21 | 0.79 | 94.94 | 411.86 |
| 平均值 | 8.54 | 315.75 | 8.63 | 9.54 | 1.39 | 210.46 | 570.07 |
| 潜在生态风险指数分布/(%) | 枯水期 | 轻度生态风险 | 100 | 74 | 100 | 100 | 100 | 0 | 0 |
| 中度生态风险 | 0 | 26 | 0 | 0 | 0 | 0 | 0 |
| 较强生态风险 | 0 | 0 | 0 | 0 | 0 | 0 | 32 |
| 强生态风险 | 0 | 0 | 0 | 0 | 0 | 26 | 58 |
| 极强生态风险 | 0 | 0 | 0 | 0 | 0 | 74 | 10 |
| 丰水期 | 轻度生态风险 | 100 | 0 | 100 | 100 | 100 | 0 | 0 |
| 中度生态风险 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 较强生态风险 | 0 | 21 | 0 | 0 | 0 | 5 | 37 |
| 强生态风险 | 0 | 42 | 0 | 0 | 0 | 95 | 63 |
| 极强生态风险 | 0 | 37 | 0 | 0 | 0 | 0 | 0 |
| 平水期 | 轻度生态风险 | 100 | 0 | 100 | 100 | 100 | 0 | 0 |
| 中度生态风险 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 较强生态风险 | 0 | 0 | 0 | 0 | 0 | 31 | 11 |
| 强生态风险 | 0 | 47 | 0 | 0 | 0 | 53 | 89 |
| 极强生态风险 | 0 | 53 | 0 | 0 | 0 | 16 | 0 |
), ArticleFig(id=1240689619071718019, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=表4, caption=
哈素海不同水期表层沉积物潜在生态风险指数值
, figureFileSmall=null, figureFileBig=null, tableContent=
| 项目 | 水期 | 类型 |  | RI |
|---|
| As | Cd | Cu | Pb | Zn | Hg |
|---|
| 潜在生态风险指数统计 | 枯水期 | 最大值 | 18.47 | 86.92 | 11.30 | 9.57 | 1.69 | 1337.14 | 1445.86 |
| 最小值 | 6.39 | 19.63 | 4.52 | 4.78 | 1.06 | 177.14 | 244.64 |
| 平均值 | 10.26 | 53.86 | 7.89 | 7.43 | 1.35 | 509.62 | 590.42 |
| 丰水期 | 最大值 | 19.45 | 476.64 | 21.75 | 11.96 | 1.88 | 274.29 | 684.39 |
| 最小值 | 6.91 | 106.54 | 2.82 | 4.31 | 0.99 | 142.86 | 298.95 |
| 平均值 | 13.15 | 279.78 | 9.41 | 7.89 | 1.32 | 192.18 | 503.73 |
| 平水期 | 最大值 | 24.88 | 417.51 | 19.88 | 15.96 | 2.32 | 439.33 | 853.61 |
| 最小值 | 4.29 | 202.96 | 1.90 | 6.21 | 0.79 | 94.94 | 411.86 |
| 平均值 | 8.54 | 315.75 | 8.63 | 9.54 | 1.39 | 210.46 | 570.07 |
| 潜在生态风险指数分布/(%) | 枯水期 | 轻度生态风险 | 100 | 74 | 100 | 100 | 100 | 0 | 0 |
| 中度生态风险 | 0 | 26 | 0 | 0 | 0 | 0 | 0 |
| 较强生态风险 | 0 | 0 | 0 | 0 | 0 | 0 | 32 |
| 强生态风险 | 0 | 0 | 0 | 0 | 0 | 26 | 58 |
| 极强生态风险 | 0 | 0 | 0 | 0 | 0 | 74 | 10 |
| 丰水期 | 轻度生态风险 | 100 | 0 | 100 | 100 | 100 | 0 | 0 |
| 中度生态风险 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 较强生态风险 | 0 | 21 | 0 | 0 | 0 | 5 | 37 |
| 强生态风险 | 0 | 42 | 0 | 0 | 0 | 95 | 63 |
| 极强生态风险 | 0 | 37 | 0 | 0 | 0 | 0 | 0 |
| 平水期 | 轻度生态风险 | 100 | 0 | 100 | 100 | 100 | 0 | 0 |
| 中度生态风险 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 较强生态风险 | 0 | 0 | 0 | 0 | 0 | 31 | 11 |
| 强生态风险 | 0 | 47 | 0 | 0 | 0 | 53 | 89 |
| 极强生态风险 | 0 | 53 | 0 | 0 | 0 | 16 | 0 |
), ArticleFig(id=1240689620673942169, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=EN, label=Table 5, caption=
Principal component load distribution of heavy metals in surface sediments in Hasuhai Lake
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| 重金属元素 | 旋转后载荷系数 |
|---|
| PC1 | PC2 | PC3 |
|---|
| As | 0.066 | -0.469 | 0.709 |
| Cd | 0.740 | -0.376 | -0.171 |
| Cu | 0.469 | 0.330 | 0.671 |
| Pb | 0.658 | 0.210 | -0.344 |
| Zn | 0.542 | 0.709 | 0.052 |
| Hg | -0.551 | 0.638 | 0.067 |
| 特征值 | 1.803 | 1.498 | 1.108 |
| 方差贡献率(%) | 30.05 | 24.97 | 18.48 |
| 累积方差贡献率(%) | 30.05 | 55.02 | 73.50 |
), ArticleFig(id=1240689620770411171, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1240689599975051449, language=CN, label=表5, caption=
哈素海表层沉积物重金属主成分载荷矩阵
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| 重金属元素 | 旋转后载荷系数 |
|---|
| PC1 | PC2 | PC3 |
|---|
| As | 0.066 | -0.469 | 0.709 |
| Cd | 0.740 | -0.376 | -0.171 |
| Cu | 0.469 | 0.330 | 0.671 |
| Pb | 0.658 | 0.210 | -0.344 |
| Zn | 0.542 | 0.709 | 0.052 |
| Hg | -0.551 | 0.638 | 0.067 |
| 特征值 | 1.803 | 1.498 | 1.108 |
| 方差贡献率(%) | 30.05 | 24.97 | 18.48 |
| 累积方差贡献率(%) | 30.05 | 55.02 | 73.50 |
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