印度泰米尔纳德邦翡翠湖表层沉积物中重金属的空间分布和污染指数数据集。
Dataset for spatial distribution and pollution indices of heavy metals in the surface sediments of Emerald Lake, Tamil Nadu, India.
作者信息
Karthikeyan Perumal, Vennila Govindaswamy, Nanthakumar Ganesan, Aswini Muthukrishnan
机构信息
Department of Civil Engineering, K. S. Rangasamy College of Technology, Tiruchengode, 637 215, Tamil Nadu, India.
School of Marine Sciences, Department of Oceanography and Coastal Area Studies, Alagappa University, Karaikudi - 630 003, Tamil Nadu, India.
出版信息
Data Brief. 2019 Nov 23;28:104877. doi: 10.1016/j.dib.2019.104877. eCollection 2020 Feb.
The dataset for this manuscript with the spatial distribution of heavy metals such as Mn, Zn, Ni, Co, Pb, Cr, Cu and Fe, pollution indices of the surface sediments in the Emerald Lake, India, the significant source of pollution, are determined. The methods for calculation of pollution indices such as Enrichment Factor (EF), Contamination Degree (CD), modified Contamination degree (mCd) and Contamination factor (CF) are considered to know the level of heavy metal pollution in the study area. In this data, the results of pollution indices suggest that almost all the sites are polluted by heavy metals. The data could be very useful to metal pollutants and their sources in the surface sediments.
本文稿的数据集确定了印度翡翠湖表层沉积物中锰、锌、镍、钴、铅、铬、铜和铁等重金属的空间分布、污染指数以及主要污染来源。考虑了用于计算污染指数的方法，如富集因子（EF）、污染程度（CD）、修正污染程度（mCd）和污染因子（CF），以了解研究区域内重金属污染水平。在这些数据中，污染指数结果表明几乎所有地点都受到重金属污染。这些数据对于研究表层沉积物中的金属污染物及其来源可能非常有用。
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