scholarly journals The Characteristics and Source Analysis of Heavy Metals in the Sediment of Water Area of Urban Scenic: A Case Study of the Delta Park in Suzhou City, Anhui Province, China

2021 ◽  
Author(s):  
Yaqi Jiang ◽  
Herong Gui ◽  
Chen Chen ◽  
Chunlei Wang ◽  
Yaru Zhang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Area ◽  
Anhui Province ◽  
Source Analysis ◽  
Suzhou City

Source Discrimination of Heavy Metals in the Inland River Sediment in Suzhou City, Anhui Province: Multivariate Statistical Approaches

2011 ◽  
Vol 347-353 ◽  
pp. 4019-4024
Author(s):  
Zhi Chun Li ◽  
He Rong Gui ◽  
Lin Hua Sun ◽  
Jing Liang Mei
Keyword(s):  
Heavy Metals ◽  
Anhui Province ◽  
Pollutant Emissions ◽  
Final Conclusion ◽  
Multivariate Statistical ◽  
Source Discrimination ◽  
Inland River ◽  
Suzhou City ◽  
Statistical Approaches ◽  
Industry Area

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.

Pollution assessment and source analysis of heavy metals in acidic farmland of the karst region in southern China—A case study of Quanzhou County

2020 ◽  
Vol 123 ◽  
pp. 104764
Author(s):  
Panfeng Liu ◽  
Zhiqiang Wu ◽  
Xianrong Luo ◽  
Meilan Wen ◽  
Liangliang Huang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Southern China ◽  
Pollution Assessment ◽  
Source Analysis ◽  
Karst Region

scholarly journals Source analysis of heavy metals in topsoil and water in arid area: a case study in northwest China

2020 ◽  
Vol 601 ◽  
pp. 012013
Author(s):  
Hongwei Chen ◽  
Lue Zhao ◽  
Haitao Huang ◽  
Xiangxun Peng ◽  
Yangqi Zheng
Keyword(s):  
Heavy Metals ◽  
Northwest China ◽  
Arid Area ◽  
Source Analysis

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
Keyword(s):  
Heavy Metals ◽  
River Sediments ◽  
Urban River ◽  
Anhui Province ◽  
Suzhou City

Assessment on Pollution Level and Ecological Risk of Heavy Metals in Pond Sediment of Suburban District

2013 ◽  
Vol 712-715 ◽  
pp. 498-501
Author(s):  
Hai Min Su
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Potential Ecological Risk ◽  
Anhui Province ◽  
Pollution Level ◽  
Light Pollution ◽  
Geochemical Background ◽  
Suburban District ◽  
Suzhou City

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.

Heavy Metal Pollution of Soil around the Gangue Hill: A Case Study from Zhuxiangzhuang Coal Mine, Northern Anhui Province, China

2011 ◽  
Vol 356-360 ◽  
pp. 114-118
Author(s):  
Xiang Hong Liu ◽  
Lin Hua Sun ◽  
Song Chen
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Statistical Analysis ◽  
Coal Mine ◽  
Multivariate Statistical Analysis ◽  
Anhui Province ◽  
Multivariate Statistical ◽  
And Cluster Analysis ◽  
Cu And Zn

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.

Source analysis and risk assessment of heavy metals in development zones: a case study in Rizhao, China

2019 ◽  
Vol 42 (1) ◽  
pp. 135-146 ◽  
Author(s):  
Huimin Zhuo ◽  
Xu Wang ◽  
Heng Liu ◽  
Sanze Fu ◽  
Hui Song ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Source Analysis
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