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A new index for assessing heavy metals contamination in sediments: A case study
Institution:1. Graduate Faculty of Environment, University of Tehran, P.O. Box 14155-6135, Tehran, Iran;2. Environmental Research Laboratory, Department of Water and Environmental Engineering, School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16765-163, Narmak, Tehran, Iran;1. State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China;2. University of Chinese Academy of Science, Beijing 100049, PR China;3. Tianjin Hydraulic Research Insititute, Tianjin 300061, PR China;4. School of Environment, Beijing Normal University, Beijing 100875, PR China;1. Iranian National Institute for Oceanography and Atmospheric Science (INIOAS), Tehran 1411813389, Iran;2. Department of Geology, Faculty of Sciences, Ferdowsi University of Mashhad International Campus, Iran;3. Golestan Department of Environment, Tehran, Iran;4. Iranian Department of Environment, Tehran, Iran;5. Young Researchers and Elites Club, North Tehran Branch, Islamic Azad University, Tehran, Iran;6. Faculty of Fishery Gorgan University of Agricultural Sciences and Natural Resources, P.O. Box 45165-386, Gorgan, Iran;7. Faculty of Science and Technology, North Tehran Branch, Islamic Azad University, Tehran, Iran;8. Department of marine biology, Science and Research Branch, Islamic Azad University, Tehran, Iran;1. Department of Marine Technology, School of Marine and Biological Engineering, Yancheng Institute of Technology, Yancheng, 224051, Province Jiangsu, China;2. Department of Aquaculture, School of Fisheries and Life, Dalian Ocean University, Dalian, 116023, Province Liaoning, China;3. National Marine Environmental Monitoring Center, State Oceanic Administration (SOA), Dalian, 116023, China
Abstract:In this study, heavy metals contamination in surface sediments of northwest Persian Gulf was investigated and a new index was formulated for assessing severity of heavy metal pollution in aquatic environments. The surface sediment samples were collected from 45 stations. The concentrations of 8 metals (Fe, Cu, Zn, Cr, Ni, Pb, Cd and V) were analyzed. According to the results of potential ecological risk index (RI), pollution load index (PLI) and modified degree of contamination (mCD), based on the average shale, considerable and intense pollution of heavy metals in sediments of study area was not observed. Based on the sediments quality guidelines the concentration of Ni at whole study area has frequently adverse biological effect on aquatic organisms. The mean effects range-median quotient indicated that surface sediments in the vicinity of petrochemical zone and Bahrekan pier with 49% probability of toxicity can be risky for the biota. The Consequence of the cluster analysis and principal component analysis/factor analysis indicated that Fe, Cu, Zn and Cr are mainly originated from natural sources and Ni, Pb, Cd and V are mostly derived from anthropogenic sources. Results of introduced index in this research (Contamination Severity Index) demonstrated that pollution of heavy metals in sediments at several sites is very intense. Assessment of results illustrated that proposed index is more reliable and logical compared with other investigated indices for evaluating heavy metals pollution in sediments of aquatic environments.
Keywords:Heavy metals  Sediment  New index  Multivariate statistical techniques  Contamination
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