Source identification and risk assessment of trace metals in surface sediment of China Sea by combining APCA-MLR receptor model and lead isotope analysis

Copyright © 2023 Elsevier B.V. All rights reserved..

This study aimed to investigate the distribution, pollution, risk and sources of trace metals in sediments along China Sea. Clear spatial variations were found for Cr, Mn, Co, Ni, Cu, Zn, Se, Mo, Ag, Cd, and Pb, whereas As did not show spatial variation. East China Sea (ECS) contained the highest concentrations of Mn, Co, Ni, Cu, Zn, South China Sea (SCS) shallow sea contained the highest concentrations of Zn, Se, Mo, Ag, Cd, and Pb, whereas coral reefs contained the lowest concentrations of trace metals. Spatial variations could be explained by economic development characteristics along China Sea. As, Se and Cd exhibited low to moderate pollution in China Sea sediment, yet pollution for Cu, Zn, Ni, and Ag appeared in some regions. Sediment in ECS had moderate ecological risks and other regions at low ecological risks. The absolute principle component score-multiple linear regression (APCS-MLR) and Pb stable isotope indicated that 43-74% of trace metals (Ni, Cu, Zn, As, Se, Cd, and Pb) were derived from anthropogenic sources like traffic emission, agricultural activities, industrial source. No pollution and ecological risk were observed in coral reefs, yet 39-71% (Pb) was derived from anthropogenic activities such as motor vessels.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:465

Enthalten in:

Journal of hazardous materials - 465(2024) vom: 05. Feb., Seite 133310

Sprache:

Englisch

Beteiligte Personen:

Zhou, Yanyan [VerfasserIn]
Du, Sen [VerfasserIn]
Liu, Yang [VerfasserIn]
Yang, Tao [VerfasserIn]
Liu, Yongliang [VerfasserIn]
Li, Yuan [VerfasserIn]
Zhang, Li [VerfasserIn]

Links:

Volltext

Themen:

APCS-MLR model
China Sea
Journal Article
Pb isotope
Sediment
Trace metals

Anmerkungen:

Date Revised 07.02.2024

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.jhazmat.2023.133310

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM366333216