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采用能量色散X射线荧光光谱法(EDXRF)结合统计方法评估泰米尔纳德邦金奈海岸沉积物中的重金属毒性。

Assessing heavy metal toxicity in sediments of Chennai Coast of Tamil Nadu using Energy Dispersive X-Ray Fluorescence Spectroscopy (EDXRF) with statistical approach.

作者信息

Tholkappian M, Ravisankar R, Chandrasekaran A, Jebakumar J Prince Prakash, Kanagasabapathy K V, Prasad M V R, Satapathy K K

机构信息

Department of Physics, Sri Vari College of Education, Then Arasampattu, Tiruvannamalai 606611, Tamil Nadu, India.

Post Graduate and Research Department of Physics, Government Arts College, Tiruvannamalai 606603, Tamil Nadu, India.

出版信息

Toxicol Rep. 2017 Dec 27;5:173-182. doi: 10.1016/j.toxrep.2017.12.020. eCollection 2018.

Abstract

The concentration of some heavy metals: Al, Ca, K, Fe, Ti, Mg, Mn, V, Cr, Zn, Ni and Co in sediments from Pulicat Lake to Vadanemmeli along Chennai Coast, Tamil Nadu has been determined using EDXRF technique. The mean concentrations of Mg, Al, K, Ca, Ti, Fe, V, Cr, Mn, Co, Ni, and Zn were found to be 1918, 25436, 9832, 9859, 2109, 8209, 41.58, 34.14, 160.80, 2.85. 18.79 and 29.12 mg kg respectively. These mean concentrations do not exceed the world crustal average. The level of pollution attributed to heavy metals was evaluated using several pollution indicators in order to determine anthropogenically derived contaminations. Enrichment Factor (EF), Geoaccumulation Index (I), Contamination Factor (CF) and Pollution Load Index (PLI) were used in evaluating the contamination status of sediments. Enrichment Factors (EF) reveal the anthropogenic sources of V, Cr, Ni and Zn Geoaccumulation Index (I) results reveal that the study area is not contaminated by the heavy metals. Similar results were also obtained by using pollution load index (PLI). The results of pollution indices indicates that most of the locations were not polluted by heavy metals. Multivariate statistical analysis performed using principal components and clustering techniques were used to identify the source of the heavy metals. The result of statistical procedures indicate that heavy metals in sediments are mainly of natural origin. This study provides a relatively novel technique for identifying and mapping the distribution of metal pollutants and their sources in sediment.

摘要

利用能量色散X射线荧光光谱(EDXRF)技术测定了泰米尔纳德邦金奈海岸沿线从普利卡特湖到瓦达内梅利沉积物中一些重金属(铝、钙、钾、铁、钛、镁、锰、钒、铬、锌、镍和钴)的浓度。镁、铝、钾、钙、钛、铁、钒、铬、锰、钴、镍和锌的平均浓度分别为1918、25436、9832、9859、2109、8209、41.58、34.14、160.80、2.85、18.79和29.12毫克/千克。这些平均浓度未超过地壳平均水平。为了确定人为来源的污染,使用了几种污染指标来评估重金属造成的污染水平。富集因子(EF)、地累积指数(I)、污染因子(CF)和污染负荷指数(PLI)被用于评估沉积物的污染状况。富集因子(EF)揭示了钒、铬、镍和锌的人为来源;地累积指数(I)结果表明研究区域未受到重金属污染。使用污染负荷指数(PLI)也得到了类似结果。污染指数结果表明,大多数地点未受到重金属污染。利用主成分分析和聚类技术进行的多元统计分析用于识别重金属的来源。统计程序结果表明,沉积物中的重金属主要来源于自然。本研究提供了一种相对新颖的技术,用于识别和绘制沉积物中金属污染物的分布及其来源。

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