| Title | Heavy metal contamination and ecological risk in Futian mangrove forest sediment in Shenzhen Bay, South China |
| Authors | Li, Rongyu Li, Ruili Chai, Minwei Shen, Xiaoxue Xu, Hualin Qiu, Guoyu |
| Affiliation | Peking Univ, Shenzhen Grad Sch, Sch Environm & Energy, Key Lab Urban Habitat Environm Sci & Technol, Shenzhen 518055, Peoples R China. PKU HICUST Shenzhen Hong Kong Inst, Shenzhen Key Lab Environm Simulat & Pollut Contro, Shenzhen 518057, Peoples R China. Guangdong Neilingding Futian Natl Nat Reserve, Shenzhen 518000, Peoples R China. |
| Keywords | Ecological risk assessment Heavy metal Mangrove Sediment MULTIVARIATE STATISTICAL TECHNIQUES SURFACE SEDIMENTS TRACE-METALS QUALITY GUIDELINES BOHAI BAY ENVIRONMENTAL RISK SEWAGE-SLUDGE POLLUTION ECOSYSTEMS ACCUMULATION |
| Issue Date | 2015 |
| Publisher | MARINE POLLUTION BULLETIN |
| Citation | MARINE POLLUTION BULLETIN.2015,101,(1),448-456. |
| Abstract | Surface sediments in the Futian mangrove forest (South China) were analyzed for heavy metals including cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb) and zinc (Zn). The heavy metal distributions varied greatly in surface sediments, reflecting some sediment heterogeneity. The heavy metal concentrations decreased in the order of Zn > Cr > Pb > Cu > Cd. According to the mean probable effects level quotient, the combination of studied metals had a 21% probability of being toxic. The potential ecological risk index and geo-accumulation index also revealed high metal contamination. Cd was of primary concern due to its higher assessment values and potential for adverse biological effects. Multivariate analysis implied that clay and silt played a significant role in raising the levels of Cr, Cu and Zn. The percentage of mobile heavy metals was relatively higher, without considerable ecological risk to the biota based on the risk assessment code. (C) 2015 Elsevier Ltd. All rights reserved. |
| URI | http://hdl.handle.net/20.500.11897/417386 |
| ISSN | 0025-326X |
| DOI | 10.1016/j.marpolbul2015.09.048 |
| Indexed | SCI(E) EI PubMed |
| Appears in Collections: | 环境与能源学院 |
