scholarly journals Assessment of Heavy Metals in the Urban River Sediments in Suzhou City, Northern Anhui Province, China

2011 ◽  
Vol 10 ◽  
pp. 2547-2553 ◽  
Author(s):  
Jingliang Mei ◽  
Zhichun Li ◽  
Linhua Sun ◽  
Herong Gui ◽  
Xingming Wang
2011 ◽  
Vol 347-353 ◽  
pp. 4019-4024
Author(s):  
Zhi Chun Li ◽  
He Rong Gui ◽  
Lin Hua Sun ◽  
Jing Liang Mei

Heavy metal concentrations of the sediment from an inland river in Suzhou city, northern Anhui Province were determined, and the index of Geo-accumulation (Igeo) was calculated for evaluating the extent of heavy metals contamination. The results showed that the contents of Cr, Cu, Zn, As, and Pb are higher than those of the background values, and the Igeo data indicates that these metals can be subdivided into three kinds, un-pollution (Cr and As), slight pollution (Pb) and moderate pollution (Cu and Zn). Multivariate statistical approaches were applied for source discrimination of heavy metals. The multivariate statistical approaches drew the final conclusion: (1) Cluster I consisted with Cu and Pb is greatly impacted by the traffic emissions, corresponding to the PC1; (2) the high accumulation of Zn and As in Cluster II mainly derived from the pollutant emissions in industry area, representing the PC2; (3) Cluster III (only Cr) is considered to be controlled by the parent materials of soils and shows the character of PC3; (4)The high contamination of Cluster I and II are related to the human activities, the government should pay attention to the environment in the area.


2013 ◽  
Vol 712-715 ◽  
pp. 498-501
Author(s):  
Hai Min Su

The content of heavy metals Cr, Cu, Zn, As in 15 ponds sediment of suburban district were determined in Suzhou City. The results showed that the contents, except for Cr, all above geochemical background values of Anhui Province. Meanwhile, the index of geoaccumulation and the Lars Hakansons method were used to assess pollution level and potential ecological risk of the heavy metals. The assessment results revealed that Cu was light pollution, and the others were non-pollution. And heavy metal potential ecological indexes from 36.62 to 75.85 were less than 150, which illustrated the potential ecological risk small.


2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Dongping Liu ◽  
Jian Wang ◽  
Huibin Yu ◽  
Hongjie Gao ◽  
Weining Xu

Abstract Background Heavy metal pollution of aquatic systems is a global issue that has received considerable attention. Canonical correlation analysis (CCA), principal component analysis (PCA), and potential ecological risk index (PERI) have been applied to heavy metal data to trace potential factors, identify regional differences, and evaluate ecological risks. Sediment cores of 200 cm in depth were taken using a drilling platform at 10 sampling sites along the Xihe River, an urban river located in western Shenyang City, China. Then they were divided into 10 layers (20 cm each layer). The concentrations of the As, Cd, Cr, Cu, Hg, Ni, Pb and Zn were measured for each layer. Eight heavy metals, namely Pb, Zn, As, Cd, Cr, Cu, Ni, and Hg, were measured for each layer in this study. Results The average concentrations of the As, Cd, Cu, Hg, and Zn were significantly higher than their background values in soils in the region, and mainly gathered at 0–120 cm in depth in the upstream, 0–60 cm in the midstream, and 0–20 cm downstream. This indicated that these heavy metals were derived from the upstream areas where a large quantity of effluents from the wastewater treatment plants enter the river. Ni, Pb, and Cr were close or slightly higher than their background values. The decreasing order of the average concentration of Cd was upstream > midstream > downstream, so were Cr, Cu, Ni and Zn. The highest concentration of As was midstream, followed by upstream and then downstream, which was different to Cd. The potential factors of heavy metal pollution were Cd, Cu, Hg, Zn, and As, especially Cd and Hg with the high ecological risks. The ecological risk levels of all heavy metals were much higher in the upstream than the midstream and downstream. Conclusions Industrial discharge was the dominant source for eight heavy metals in the surveyed area, and rural domestic sewage has a stronger influence on the Hg pollution than industrial pollutants. These findings indicate that effective management strategies for sewage discharge should be developed to protect the environmental quality of urban rivers.


2010 ◽  
Vol 9 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Deming Dong ◽  
Zhiyong Guo ◽  
Xiuyi Hua ◽  
Ying Lan ◽  
Jinting Zhou ◽  
...  

2012 ◽  
Vol 610-613 ◽  
pp. 2904-2907
Author(s):  
Song Chen

The limestone soils and its source rock samples had been collected from Suzhou area for the testing about major and trace elements. The concentration value have been compared with the background and the migration coefficient(K) of element form source rock to soil have been calculated, the result showed: the elements Ca and Th are enrichment, the Al is loss seriously, the Ti, V, Cr, Mn, Zn, Rb, Sr., Zr, and Pb are basic fairly with the background value; the K, Cu, Fe and As are slightly higher than the soil background values; The elements Si, Ti, Mn, Zr, Pb and Th have high K in subsoil layer; the element Fe, Cr, As and Rb have the least K in subsoil layer; the element Al, V, Cu and Zn can be showed disorder with the more high migration coefficient in topsoil.


2007 ◽  
Vol 132 (1-3) ◽  
pp. 475-489 ◽  
Author(s):  
P. Purushothaman ◽  
G. J. Chakrapani

2014 ◽  
Vol 29 (3) ◽  
pp. 368-377 ◽  
Author(s):  
Nur Aliaa SHAFIE ◽  
Ahmad Zaharin ARIS ◽  
Hazzeman HARIS

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