• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

黄河上游表层沉积物中重金属的浓度、空间分布及污染评价。

Concentrations, spatial distribution, and pollution assessment of heavy metals in surficial sediments from upstream of Yellow River, China.

机构信息

School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, People's Republic of China.

Lanzhou Hanxing Environmental Protection Co., Ltd., Lanzhou, 730070, China.

出版信息

Environ Sci Pollut Res Int. 2021 Jan;28(3):2904-2913. doi: 10.1007/s11356-020-10349-3. Epub 2020 Sep 7.

DOI:10.1007/s11356-020-10349-3
PMID:32894444
Abstract

Surface sediments were collected from 122 sites in the upstream of the Yellow River, China. The concentration of Fe, Mn, Cu, Ni, Zn, Cr, Pb, and Cd in sediments was investigated to explore the spatial distribution based on statistics and interpolation method. The results suggested that the concentrations of heavy metals were lower than potential effect levels (PEL). The samples above threshold effect level (TEL) for Pb and Zn were less than 10%, while almost 50% of samples for Ni exceeded PEL. Pb and Zn in sediments performed little or no adverse effects on the aquatic ecosystems. Higher concentrations of all heavy metals occurred in Qinghai and Gansu sections; the concentrations of Cu, Ni, and Zn were significantly higher than the Inner Mongolia section. Lower concentration of Fe, Mn, Cu, Ni, and Zn appeared in Qinghai section; the concentrations of Fe, Mn, Cr, and Pb manifested relatively steady and similar distributions and approximately decreasing tendency along the upstream of Yellow River.

摘要

从黄河上游的 122 个采样点采集了表层沉积物。采用统计和插值方法研究了沉积物中 Fe、Mn、Cu、Ni、Zn、Cr、Pb 和 Cd 的浓度,以探讨其空间分布。结果表明,重金属浓度低于潜在效应水平(PEL)。Pb 和 Zn 的样品超过了阈值效应水平(TEL)的比例小于 10%,而近 50%的 Ni 样品超过了 PEL。沉积物中的 Pb 和 Zn 对水生态系统几乎没有或没有不良影响。青海和甘肃段的所有重金属浓度都较高;Cu、Ni 和 Zn 的浓度明显高于内蒙古段。青海段的 Fe、Mn、Cu、Ni 和 Zn 浓度较低;Fe、Mn、Cr 和 Pb 的浓度表现出相对稳定且相似的分布,沿黄河上游呈逐渐降低的趋势。

相似文献

1
Concentrations, spatial distribution, and pollution assessment of heavy metals in surficial sediments from upstream of Yellow River, China.黄河上游表层沉积物中重金属的浓度、空间分布及污染评价。
Environ Sci Pollut Res Int. 2021 Jan;28(3):2904-2913. doi: 10.1007/s11356-020-10349-3. Epub 2020 Sep 7.
2
Assessment of heavy metals in surface sediments from Gansu section of Yellow River, China.中国黄河甘肃段表层沉积物中重金属的评估。
Environ Monit Assess. 2015 Mar;187(3):79. doi: 10.1007/s10661-015-4328-6. Epub 2015 Feb 6.
3
[Spatial distribution and ecological risk assessment of heavy metals in the estuaries surface sediments from the Haihe River Basin].海河流域河口表层沉积物中重金属的空间分布及生态风险评价
Huan Jing Ke Xue. 2013 Nov;34(11):4204-10.
4
[Evaluation and Source Analysis of Heavy Metal Pollution in Sediments of the Yellow River Basin Based on Monte Carlo Simulation and PMF Model].基于蒙特卡洛模拟和PMF模型的黄河流域沉积物重金属污染评价及源解析
Huan Jing Ke Xue. 2022 Aug 8;43(8):4008-4017. doi: 10.13227/j.hjkx.202111172.
5
Assessment of heavy metals in surface water, sediment and macrozoobenthos in inland rivers: a case study of the Heihe River, Northwest China.内陆河流域地表水、沉积物和大型底栖无脊椎动物中重金属的评估:以中国西北地区黑河流域为例。
Environ Sci Pollut Res Int. 2022 May;29(23):35253-35268. doi: 10.1007/s11356-022-18663-8. Epub 2022 Jan 20.
6
[Spatial Distribution and Risk Assessment of Heavy Metals in Sediments of the Ruxi Tributary of the Three Gorges Reservoir].三峡水库汝溪河支流沉积物中重金属的空间分布及风险评估
Huan Jing Ke Xue. 2020 Mar 8;41(3):1338-1345. doi: 10.13227/j.hjkx.201909208.
7
[Pollution Distribution and Ecological Risk Assessment of Heavy Metals in River Sediments from the Ancient Town of Suzhou].[苏州古城河沉积物中重金属污染分布及生态风险评价]
Huan Jing Ke Xue. 2021 Jul 8;42(7):3206-3214. doi: 10.13227/j.hjkx.202011048.
8
Heavy metals in surface sediments in the trans-Himalayan Koshi River catchment: Distribution, source identification and pollution assessment.跨喜马拉雅科西河集水区表层沉积物中的重金属:分布、来源识别和污染评估。
Chemosphere. 2020 Apr;244:125410. doi: 10.1016/j.chemosphere.2019.125410. Epub 2019 Nov 19.
9
Seasonal variation of heavy metals in water and sediments in the Halda River, Chittagong, Bangladesh.孟加拉国吉大港哈尔达河水中和沉积物中重金属的季节性变化。
Environ Sci Pollut Res Int. 2017 Dec;24(35):27587-27600. doi: 10.1007/s11356-017-0204-y. Epub 2017 Oct 5.
10
Distribution and assessment of heavy metals in the surface sediment of Yellow River, China.中国黄河表层沉积物中重金属的分布与评估
J Environ Sci (China). 2016 Jan;39:45-51. doi: 10.1016/j.jes.2015.10.017. Epub 2015 Dec 29.

引用本文的文献

1
Assessment of Heavy Metal Contamination, Distribution, and Source Identification in Surface Sediments from the Mid-Upper Reaches of the Yellow River.黄河中上游表层沉积物中重金属污染、分布及来源识别评估
Toxics. 2025 Feb 23;13(3):150. doi: 10.3390/toxics13030150.
2
Assessment of surface sediment properties and heavy metal contamination in typical urban areas of the Yellow River, China.中国黄河典型城区表层沉积物性质及重金属污染评估
Sci Rep. 2025 Mar 19;15(1):9403. doi: 10.1038/s41598-025-87503-9.
3
Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section.
河南黄河段沉积物中重金属抗性基因的分布模式及影响因素
Int J Environ Res Public Health. 2022 Aug 28;19(17):10724. doi: 10.3390/ijerph191710724.
4
The Sources and Potential Hosts Identification of Antibiotic Resistance Genes in the Yellow River, Revealed by Metagenomic Analysis.黄河抗生素抗性基因的来源和潜在宿主的鉴定:基于宏基因组分析。
Int J Environ Res Public Health. 2022 Aug 21;19(16):10420. doi: 10.3390/ijerph191610420.