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南极洲原始湖泊系统中的有害重金属:PMF 模型和 ERA 技术的见解。

Hazardous heavy metals in the pristine lacustrine systems of Antarctica: Insights from PMF model and ERA techniques.

机构信息

National Centre for Polar and Ocean Research (NCPOR), Ministry of Earth Sciences, Government of India, Headland Sada, Vasco-da-Gama, Goa 403804 India.

National Centre for Polar and Ocean Research (NCPOR), Ministry of Earth Sciences, Government of India, Headland Sada, Vasco-da-Gama, Goa 403804 India.

出版信息

J Hazard Mater. 2021 Jun 15;412:125263. doi: 10.1016/j.jhazmat.2021.125263. Epub 2021 Jan 29.

DOI:10.1016/j.jhazmat.2021.125263
PMID:33548780
Abstract

A comprehensive study was presented on the ecological risk, distribution, and quantitative source apportionment of heavy metals in the selected lacustrine systems of Schirmacher Hills using various environmental indices and methods. A total of 25 sediment samples from 16 lakes were collected around scientific research stations and analyzed for metals. Geochemical approaches and ecological risk assessment methods were implemented to characterize and evaluate the contamination level and associated risk in the lacustrine systems. Moreover, statistical techniques and a positive matrix factorization (PMF) model were indorsed to understand metals' association and apportion their probable sources. Results revealed that most of the heavy metals (mean concentration in ppm) such as Al (77,504.09), Cd (1.36), Co (29.52), Cr (102.75), Cu (65.19), Fe (57,632.87), Mn (679.05), Ni (49.13), Pb (10.11), and Zn (253.78) are originated from natural weathering of source rocks (78.53%) followed by human-induced actions/ station activities coupled with atmospheric deposition (21.47%). Environmental risk assessment (ERA) techniques suggest that the lakes in the study area are under minimal to moderate enrichment/ contamination category and experienced minimal to adverse biological effects where metal toxicity risk is minimal.

摘要

采用多种环境指数和方法,对 Schirmacher 山脉选定湖泊系统中的重金属的生态风险、分布和定量源解析进行了综合研究。在科学研究站周围采集了 16 个湖泊的 25 个沉积物样本进行金属分析。运用地球化学方法和生态风险评估方法,对湖泊系统的污染程度和相关风险进行了特征描述和评估。此外,还采用了统计技术和正定矩阵因子(PMF)模型来了解金属的相关性,并解析其可能的来源。结果表明,大多数重金属(以 ppm 为单位的平均浓度),如 Al(77504.09)、Cd(1.36)、Co(29.52)、Cr(102.75)、Cu(65.19)、Fe(57632.87)、Mn(679.05)、Ni(49.13)、Pb(10.11)和 Zn(253.78),主要来源于源岩的自然风化(78.53%),其次是人类活动/站活动与大气沉积的共同作用(21.47%)。环境风险评估(ERA)技术表明,研究区域内的湖泊处于轻度至中度富集/污染类别,经历了轻度至不利的生物效应,金属毒性风险较小。

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