Dataset for spatial distribution and pollution indices of heavy metals in the surface sediments of Emerald Lake, Tamil Nadu, India

被引：17
|
作者：
Karthikeyan, Perumal [1 ,2 ]
Vennila, Govindaswamy [1 ]
Nanthakumar, Ganesan [3 ]
Aswini, Muthukrishnan [4 ]
机构：
[1] KS Rangasamy Coll Technol, Dept Civil Engn, Tiruchengode 637215, Tamil Nadu, India
[2] Alagappa Univ, Dept Oceanog & Coastal Area Studies, Sch Marine Sci, Karaikkudi 630003, Tamil Nadu, India
[3] Periyar Univ, PG Extens Ctr, Dept Geol, Adyaman Campus, Dharmapuri 636701, Tamil Nadu, India
[4] Manonmaniam Sundaranar Univ, Ctr Geotechnol, Tirunelveli 627012, Tamil Nadu, India
来源：
DATA IN BRIEF | 2020年 / 28卷
关键词：
Enrichment factor; Contamination degree; modified contamination degree; Contamination factor; Surface sediments; Heavy metals; Emerald lake; MARINE-SEDIMENTS; CONTAMINATION; CARBON; WATER;
D O I：
10.1016/j.dib.2019.104877
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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. (C) 2019 Published by Elsevier Inc.
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页数：7
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