Risk assessment, geochemical speciation, and source apportionment of heavy metals in sediments of an urban river draining into a coastal wetland. (January 2023)

• Record Type: Journal Article
• Authors: Ashayeri, Shirin Yavar; Keshavarzi, Behnam; Moore, Farid; Ahmadi, Azam; Hooda, Peter S.
• Is Part Of: Marine pollution bulletin. Volume 186(2023)
• Publication Date: 2023-01
• Subjects: Heavy metals -- Risk assessment -- MLR-APCS model -- Geochemical fraction -- River sediments; Marine pollution -- Periodicals; Marine Biology -- Periodicals; Water Pollution -- Periodicals; Mer -- Pollution -- Périodiques; Publications périodiques; Pollution des mers; Lutte antipollution; Electronic journals; 363.7394
• DOI: 10.1016/j.marpolbul.2022.114389
• Languages: English
• ISSNs: 0025-326X

Abstract

Abstract: Thirty sediment samples were collected from the Gohar Rood River (Iran) to assess the elemental concentrations, origins, and probable environmental risks in the riverine system. In this study, fifteen elements were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). Cr at all sites were exceeded the SEL (Severe Effect Level) value. Zn, Mn, Co, and Cr showed a moderate level of contamination, based on pollution index (PI), modified pollution index (MPI), and enrichment factor (EF). The modified hazard quotient (mHQ) represented low to extreme severity of pollution for some elements. The multi-linear regression of the absolute principal component score model indicated that largest contributors of Zn, Cu, Pb, Sb, and Mo to the riverine sediment were from agricultural runoff, domestic, and municipal sewage. Based on the modified BCR (the European Community Bureau of Reference) fractionation scheme, Mn, Co, and Zn indicated a medium to high risk to the local environment. Graphical abstract: Unlabelled Image Highlights: Apart from Cr and As all investigated elements concentration were lower than their SEL values. Zn in sediment showed the highest enrichment factor, classed as significant enrichment. TRIi values for As, Cd, Cu, Pb, Ni, and Zn exhibited no toxicity risk (TRI ≤ 5). PCA-MLR and MLR-APCS models indicated sediment metal concentrations influenced by several anthropogenic sources of pollution. Metal fractionation results demonstrated high mobility for Mn, Co, Zn and V.