Multivariate Statistical Evaluation of Heavy Metals in Pond Sediments from a Rural Area in Sixian County, Northern Anhui Province, China

Author(s):  
Linhua Sun ◽  
Dongsheng Xu
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.


2011 ◽  
Vol 97-98 ◽  
pp. 1055-1058
Author(s):  
Lin Hua Sun

Lead concentration of pond sediments near the road, as well as pond sediments far away from roads in a rural area in Sixian County, northern Anhui Province, China, have been analyzed, and the spatial distribution of lead and the index of geo-accumulation have been brought to light. The results indicate that the lead concentrations of pond sediments near the road range from 20 to 34 mg/kg with average= 26.7 mg/kg, whereas pond sediments far away from the road have lower lead concentrations from 20 to 21 mg/kg with average= 20.8 mg/kg. The lead concentration from high to low is Xinji, Gonggou, Dazhuang, Huangwei, Yangzhuang and area far away from the road. A similarity between spatial distributions of lead concentration, index of geo-accumulation (Igeo) and towns (including village and the roads between them) indicates that motor vehicles play important role in controlling the distribution of lead in rural areas.


2011 ◽  
Vol 356-360 ◽  
pp. 114-118
Author(s):  
Xiang Hong Liu ◽  
Lin Hua Sun ◽  
Song Chen

Heavy metal concentrations of soils around two gangue hills from Zhuxiangzhuang coal mine, northern Anhui province, China had been determined by using X-Ray Fluorescence, and the calculation of enrich factor and index of geo-accumulation, as well as multivariate statistical analysis (including principle component analysis and cluster analysis) had been brought out to light: V, Cr, Fe, Cu and Zn of soils are unpolluted when normalize to soil environmental background value of China. However, when normalized to their minimum concentrations, Zn is light pollution. Two sources of heavy metals have been identified by using multivariate statistical analysis, including lithogenic (V and Fe) and anthropogenic (Cr, Cu and Zn). The soils from the area between two gauge hills have the highest degrees of heavy metals pollution relative to other areas, implying that the method in the Zhuxianzhuang coal mine is useful for environmental protection.


Author(s):  
Songtao Wang ◽  
Zongjun Gao ◽  
Yuqi Zhang ◽  
Hairui Zhang ◽  
Zhen Wu ◽  
...  

This study investigated the characteristics and sources of heavy metals in a soil–ginger system and assessed their health risks. To this end, 321 topsoil samples and eight soil samples from a soil profile, and 18 ginger samples with root–soil were collected from a ginger-planting area in the Jing River Basin. The average concentration of heavy metals in the topsoil followed the order: Cr > Zn > Pb > Ni > Cu > As > Cd > Hg. In the soil profile, at depths greater than 80 cm, the contents of Cr, Ni, and Zn tended to increase with depth, which may be related to the parent materials, whereas As and Cu contents showed little change. In contrast, Pb content decreased sharply from top to bottom, which may be attributable to external environmental and anthropogenic factors. Multivariate statistical analysis showed that Cr, Ni, Cu, Zn, and Cd contents in soil are affected by natural sources, Pb and As contents are significantly affected by human activities, and Hg content is affected by farmland irrigation. Combined results of the single pollution index (Pi), geo-accumulation index (Igeo), and potential ecological risk assessment (Ei and RI) suggest that soil in the study area is generally not polluted by heavy metals. In ginger, Zn content was the highest (2.36 mg/kg) and Hg content was the lowest (0.0015 mg/kg). Based on the bioconcentration factor, Cd and Zn have high potential for enrichment in ginger. With reference to the limit of heavy metals in tubers, Cr content in ginger exceeds the standard in the study area. Although Cr does not accumulate in ginger, Cr enrichment in soil significantly increases the risk of excessive Cr content in ginger.


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