Quantitative identification and source apportionment of anthropogenic heavy metals in marine sediment of Hong Kong |
| |
| Authors: | Feng Zhou Huaicheng Guo Lei Liu |
| |
| Institution: | (1) College of Environmental Sciences, Peking University, Room 208, Old Geosciences Building, Beijing, 100871, People’s Republic of China;(2) Department of Civil Engineering, Dalhousie University, Halifax, NS, B3J 1Z1, Canada |
| |
| Abstract: | Based on ten heavy metals collected twice annually at 59 sites from 1998 to 2004, enrichment factors (EFs), principal component
analysis (PCA) and multivariate linear regression of absolute principal component scores (MLR-APCS) were used in identification
and source apportionment of the anthropogenic heavy metals in marine sediment. EFs with Fe as a normalizer and local background
as reference values was properly tested and suitable in Hong Kong, and Zn, Ni, Pb, Cu, Cd, Hg and Cr mainly originated from
anthropogenic sources, while Al, Mn and Fe were derived from rocks weathering. Rotated PCA and GIS mapping further identified
two types of anthropogenic sources and their impacted regions: (1) electronic industrial pollution, riparian runoff and vehicle
exhaust impacted the entire Victoria Harbour, inner Tolo Harbour, Eastern Buffer, inner Deep Bay and Cheung Chau; and (2)
discharges from textile factories and paint, influenced Tsuen Wan Bay and Kwun Tong typhoon shelter and Rambler Channel. In
addition, MLR-APCS was successfully introduced to quantitatively determine the source contributions with uncertainties almost
less than 8%: the first anthropogenic sources were responsible for 50.0, 45.1, 86.6, 78.9 and 87.5% of the Zn, Pb, Cu, Cd
and Hg, respectively, whereas 49.9% of the Ni and 58.4% of the Cr came from the second anthropogenic sources. |
| |
| Keywords: | Heavy metals Marine sediment Source apportionment Enrichment factors Multivariate statistics GIS |
| 本文献已被 SpringerLink 等数据库收录！ |
|
