Trace elements spatial distribution characteristics, risk assessment and potential source identification in surface water from Honghu Lake, China

2018 ◽  
Vol 25 (7) ◽  
pp. 1598-1611 ◽  
Author(s):  
Chao-yang Liu ◽  
Jing-dong Zhang ◽  
Fei Li ◽  
Jun Yang ◽  
Zhen-zhen Qiu ◽  
...  
2013 ◽  
Vol 368-370 ◽  
pp. 417-420
Author(s):  
Xia Xu

Surface water resources study has vital function for Lhasa and whole Tibet. TM images in 2000 and 2010, GIS and landscape ecological theory are applied to analyze the spatial distribution characteristics of Lhasas surface water resources. The results show: there are 6662 patches in 2000 and 6340 patches in 2010, which means there have disappeared 322 patches, while the area have increased 20.95km2. The lakes class is the main surface water resources with 41.11% in 2000 and 41.03% in 2010. Tibetan Plateau is very sensitive to global cliamte change, espectially in water resouces. The areas of ice and glaciers, forested swamps, shrub swamps have no change. While other kinds of classs area shows increasing trend, especially rivers area, which increased 12.20 km2.


Author(s):  
Mengxin Kang ◽  
Yimei Tian ◽  
Haiya Zhang ◽  
Cheng Wan

Abstract To assess the spatial distribution characteristics and health risk of heavy metals (Cu, Zn, Ni, Cd, Pb, and Cr) in surface sediment of the Hai River and its tributaries in Tianjin, China, 32 surface sediment samples were collected. All the heavy metals mainly occurred in residue, except Cd. Cd primarily existed in exchangeable fraction and posed a high risk to the aquatic environment. The mean values of pollution index followed a decreasing trend of Cu > Cd > Ni > Pb > Cr > Zn. The results of health risk assessment showed that the heavy metals were not a threat to local residents and Cr and Pb were the main contributors to the health risk. The carcinogenic risk posed by Cr was two orders of magnitude higher than that posed by Cd. A self-organizing map divided the 32 sites into three clusters and more attention should be paid to cluster 3. The results will be conducive to understanding the heavy metal pollution patterns and implementing effective and accurate management programs.


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