Suppr超能文献

利用多元统计技术评估赤道生态系统底栖沉积物中的来源及痕量金属污染

Source Evaluation and Trace Metal Contamination in Benthic Sediments from Equatorial Ecosystems Using Multivariate Statistical Techniques.

作者信息

Benson Nsikak U, Asuquo Francis E, Williams Akan B, Essien Joseph P, Ekong Cyril I, Akpabio Otobong, Olajire Abaas A

机构信息

Environmental Chemistry Unit, Department of Chemistry, Covenant University, Ota, Nigeria.

Faculty of Marine Sciences, University of Calabar, Calabar, Nigeria.

出版信息

PLoS One. 2016 Jun 3;11(6):e0156485. doi: 10.1371/journal.pone.0156485. eCollection 2016.

Abstract

Trace metals (Cd, Cr, Cu, Ni and Pb) concentrations in benthic sediments were analyzed through multi-step fractionation scheme to assess the levels and sources of contamination in estuarine, riverine and freshwater ecosystems in Niger Delta (Nigeria). The degree of contamination was assessed using the individual contamination factors (ICF) and global contamination factor (GCF). Multivariate statistical approaches including principal component analysis (PCA), cluster analysis and correlation test were employed to evaluate the interrelationships and associated sources of contamination. The spatial distribution of metal concentrations followed the pattern Pb>Cu>Cr>Cd>Ni. Ecological risk index by ICF showed significant potential mobility and bioavailability for Cu, Cu and Ni. The ICF contamination trend in the benthic sediments at all studied sites was Cu>Cr>Ni>Cd>Pb. The principal component and agglomerative clustering analyses indicate that trace metals contamination in the ecosystems was influenced by multiple pollution sources.

摘要

通过多步分级方案分析了底栖沉积物中的痕量金属(镉、铬、铜、镍和铅)浓度,以评估尼日利亚尼日尔三角洲河口、河流和淡水生态系统中的污染水平和来源。使用个体污染因子(ICF)和全球污染因子(GCF)评估污染程度。采用主成分分析(PCA)、聚类分析和相关性检验等多元统计方法来评估相互关系和相关污染来源。金属浓度的空间分布呈现出铅>铜>铬>镉>镍的模式。ICF生态风险指数显示铜、铜和镍具有显著的潜在迁移性和生物有效性。所有研究地点底栖沉积物中的ICF污染趋势为铜>铬>镍>镉>铅。主成分分析和凝聚聚类分析表明,生态系统中的痕量金属污染受到多种污染源的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2745/4892471/ba6c2434dc8a/pone.0156485.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验