4.7 Article

Heavy metals distribution and environmental quality assessment for sediments off the southern coast of the Shandong Peninsula, China

期刊

MARINE POLLUTION BULLETIN
卷 100, 期 1, 页码 483-488

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.marpolbul.2015.09.028

关键词

The southern coast of the Shandong Peninsula; Sediment; Heavy metals; Environmental assessment

资金

  1. National Natural Science Foundation of China (NSFC) [41376079, 41476051]
  2. Marine Geology Survey Project [GZH200900501, GZH201400204]
  3. Foundation of the Shandong Provincial Key Laboratory of Marine Ecology and Environment & Disaster Prevention [201304]

向作者/读者索取更多资源

A systematic study was conducted on the distribution characteristics of heavy metals and on associated influencing factors in sediments off the southern coast of the Shandong Peninsula, China, based on the results of a heavy metals analysis on 157 surface sediment samples from coastal waters of the study area and on 46 samples from surrounding rivers flowing into the sea. An environmental quality assessment of heavy metals was performed using the Nemerow index. The results show that the distribution characteristics of sediment heavy metals in coastal waters outside of Qingdao can be divided into three classes; (1) Class I - Cr, Cu and Zn, with high-value areas extending from the northeast to the southwest in a banded or tongue-like pattern; (2) Class II - As, Cd and Pb, with high-value areas mainly distributed off the southeastern coast of Mt. Lao; and (3) Class III - Hg only, with high-value areas mainly in the northern area of Jiaozhou Bay. Integrated assessment based on the Nemerow index reveals that heavy metals pollution has occurred in surface sediments in a number of coastal water areas outside of Qingdao. This pollution is mainly found off the southeastern coast of Mt. Lao and in the northeastern section of Jiaozhou Bay. Results show that grain size of surface sediments, surrounding rivers and human activities are the main reasons for the element distribution pattern. (C) 2015 Elsevier Ltd. All rights reserved.

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