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Chinese Journal of Applied Ecology ›› 2017, Vol. 28 ›› Issue (9): 3087-3098.doi: 10.13287/j.1001-9332.201709.009

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Source apportionment of heavy metals in solid and its application in coastal sediment of China.

LIANG Xian-meng1,2, SONG Jin-ming1,2,3, YUAN Hua-mao1,2,3, LI Xue-gang1,2,3, LI Ning1,2,3, DUAN Li-qin1,2,3   

  1. 1CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, Shandong, China;
    2University of Chinese Academy of Sciences, Beijing 100049, China;
    3Function Laboratory of Marine Ecolo-gy and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, Shandong, China.
  • Received:2016-12-29 Online:2017-09-18 Published:2017-09-18
  • Contact: * E-mail: jmsong@qdio.ac.cn
  • Supported by:

    This work was supported by the National Program on Key Basic Research Project of China (973 Program) (2015CB452901, 2015CB452902), the Joint Fund of National Natural Science Foundation and Shandong Province for Marine Science Research Centers (U1606404), Aoshan Talents Program supported by Qingdao National Laboratory for Marine Science and Technology (2015ASTP-OS13), and National Natural Science Foundation of China (41676068).

Abstract: Source apportionment of heavy metals in sediments is significant to distinguish the influence of human activities from nature changes on offshore eco-environment evolution. This overview focused on three widely used source apportionment methods: Multivariate statistical technique, geochemical method and geostatistical analysis and highlighted that the positive matrix factorization and lead isotopic trace were two relatively preferable methods to quantitatively assess the anthropogenic source of heavy metals. Based on the heavy metal concentrations in coastal sediments of China, heavy metals were primarily of anthropogenic origin with their contribution close to or higher than 50% in coastal sediment of China evaluated by combination of different source identification me-thods (multivariate analysis, estimation based on background value and lead isotopic trace), and estuaries and bays were typical polluted regions. The current researches on source apportionment had the problems that the source endmembers were still vague and the interpretation of data lacks corresponding reliability evaluation. The future research should be focused on the integration and optimization of multi-methods to improve the accuracy of source apportionment, extracting informative indicators to represent specific anthropogenic activities or natural source and recognizing the geoche-mical process and mechanism of anthropogenic emissions of heavy metals when entering into coastal environment to provide referential fingerprints for source interpretation.