Contamination evaluation and source identification of heavy metals in sediments near outlet of Shekou industrial district of Shenzhen City.

Abstract:

:Sediment samples in this study were taken from five typical sites near the outlet of Shekou industrial district of Shenzhen City, China. The concentrations of seven elements including Cr, Cu, Cd, Pb, Hg, Zn, and As were determined respectively by atomic absorption spectrometry or atomic fluorescence spectrometry. The pollution degrees of the seven elements were assessed with the contamination factor and potential ecological risk index respectively, and their different sources were identified using multivariate statistical methods. The calculated contamination factors of these elements indicated that the sediments were at least moderately polluted by all the surveyed elements except As. The values of potential ecological risk indexes obtained decreased as the following order: Cd > Hg > Cu > As > Pb > Zn > Cr, and suggested that Cd and Hg were respectively at high and considerable environmental health risks. In addition, multivariate statistical analyses indicated that Cd, Hg, Cu, and Zn were most likely from the waste of electroplating, metal, and battery industries at Shekou industrial district, while Pb and As originated from both natural processes and anthropogenic activities along the bank of Pear River such as coal transportation and combustion, glass manufacturing, and painting, and Cr came mostly from Cr-related industries especially leather tanning within Shenzhen City. This study provided useful reference information about heavy metal contamination in the sediments in the estuarine and coastal areas with rapid urbanization and industrialization, and should be very helpful for the local governments to make relevant policies and strategies of heavy metal contamination control and management in developing countries.

journal_name

Environ Monit Assess

authors

Wang L,Xu Y,Wen H,Tang M,Zhao G,Han Q,Xu X,Ying M,Hu Z,Xu H

doi

10.1007/s10661-020-08755-8

subject

Has Abstract

pub_date

2020-11-20 00:00:00

pages

772

issue

12

eissn

0167-6369

issn

1573-2959

pii

10.1007/s10661-020-08755-8

journal_volume

192

pub_type

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