Pollution Characteristics and Risk Assessment of Heavy Metals in the Sediments of the Inflow Rivers of Dianchi Lake, China

被引:10
作者
He, Liwei [1 ,2 ,3 ]
Chen, Guangye [2 ]
Wang, Xinze [1 ,3 ]
Shen, Jian [1 ,3 ]
Zhang, Hongjiao [2 ]
Lin, Yuanyuan [2 ]
Shen, Yang [2 ]
Lang, Feiyan [2 ]
Gong, Chenglei [2 ]
机构
[1] Shanghai Jiao Tong Univ, Yunnan Dali Res Inst, Dali 671000, Peoples R China
[2] Kunming Univ, Sch Chem & Chem Engn, Kunming 650214, Peoples R China
[3] Natl Observat & Res Stn Erhai Lake Ecosyst Yunnan, Dali 671000, Peoples R China
关键词
heavy metal pollution; chemical speciation; risk assessment; source identification; SURFACE SEDIMENTS; CONTAMINATION ASSESSMENT; SPATIAL-DISTRIBUTION; WATER; BAY; ENRICHMENTS; CATCHMENT; TOXICITY; INDEX; AREA;
D O I
10.3390/toxics12050322
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To explore the contamination status and identify the source of the heavy metals in the sediments in the major inflow rivers of Dianchi Lake in China, sediment samples were collected and analyzed. Specifically, the distribution, source, water quality, and health risk assessment of the heavy metals were analyzed using correlation analysis (CA), principal component analysis (PCA), the heavy metal contamination factor (C-f), the pollution load index (PLI), and the potential ecological risk index (PERI). Additionally, the chemical fractions were analyzed for mobility characteristics. The results indicate that the average concentration of the heavy metals in the sediment ranked in the descending order of Zn > Cr > Cu > Pb > As > Ni > Cd > Hg, and most of the elements existed in less-mobile forms. The C(f )was in the order of Hg > Zn > Cd > As > Pb > Cr > Ni; the accumulation of Hg, Zn, Cd, and As was obvious. Although the spatial variability of the heavy metal contents was pronounced, the synthetical evaluation index of the PLI and PERI both reached a high pollution level. The PCA and CA results indicate that industrial, transportation, and agricultural emissions were the dominant factors causing heavy metal pollution. These results provide important data for improving water resource management efficiency and heavy metal pollution prevention in Dianchi Lake.
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页数:17
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