受不同污染源影响的泰米尔纳德邦东海岸海洋沉积物中重金属污染评估
Assessment of Heavy Metal Contamination in Marine Sediments of East Coast of Tamil Nadu Affected by Different Pollution Sources.
作者信息
Harikrishnan N, Ravisankar R, Chandrasekaran A, Suresh Gandhi M, Kanagasabapathy K V, Prasad M V R, Satapathy K K
机构信息
Post Graduate and Research Department of Physics, Government Arts College, Tiruvannamalai 606603, Tamil Nadu, India.
Post Graduate and Research Department of Physics, Government Arts College, Tiruvannamalai 606603, Tamil Nadu, India.
出版信息
Mar Pollut Bull. 2017 Aug 15;121(1-2):418-424. doi: 10.1016/j.marpolbul.2017.05.047. Epub 2017 Jun 19.
The aim of this study was to determine the concentration of heavy metals in the sediments of Periyakalapet to Parangipettai coast, east coast of Tamil Nadu, by using energy-dispersive X-ray fluorescence (EDXRF) technique. The average heavy metal concentrations in the sediment samples were found in the order Al>Fe>Ca>Ti>K>Mg>Mn>Ba>V>Cr>Zn>La>Ni>Pb>Co>Cd>Cu. The average heavy metal concentrations were below the world crustal average. The degree of contamination by heavy metals was evaluated using pollution indices. The results of pollution indices revealed that titanium (Ti) and cadmium (Cd) were significantly enriched in sediments. Pearson correlation analysis was performed among heavy metal concentrations to know the existing relationship between them. Multivariate statistical technique was employed to identify the heavy metal pollution sources.
本研究的目的是通过能量色散X射线荧光（EDXRF）技术测定泰米尔纳德邦东海岸佩里亚卡拉佩特至帕兰吉佩泰海岸沉积物中的重金属浓度。沉积物样品中的平均重金属浓度顺序为Al>Fe>Ca>Ti>K>Mg>Mn>Ba>V>Cr>Zn>La>Ni>Pb>Co>Cd>Cu。平均重金属浓度低于全球地壳平均值。使用污染指数评估重金属的污染程度。污染指数结果显示，钛（Ti）和镉（Cd）在沉积物中显著富集。对重金属浓度进行了Pearson相关性分析，以了解它们之间的现有关系。采用多元统计技术识别重金属污染源。
Zotero 插件