Spatial distribution characteristics of surface sediment grain-size parameters in intertidal flat using hyperspectral remote sensing data

2009 ◽  
Author(s):  
Xiaodan Zheng ◽  
Ying Zhang ◽  
Dong Zhang ◽  
Huan Li
Keyword(s):  
Remote Sensing ◽  
Grain Size ◽  
Spatial Distribution ◽  
Surface Sediment ◽  
Remote Sensing Data ◽  
Intertidal Flat ◽  
Distribution Characteristics ◽  
Sediment Grain Size ◽  
Spatial Distribution Characteristics ◽  
Grain Size Parameters

scholarly journals Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its Tributaries in Tianjin, China

2021 ◽  
Author(s):  
Mengxin Kang ◽  
Yimei Tian ◽  
Haiya Zhang ◽  
Cheng Wan
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Spatial Distribution ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Surface Sediment ◽  
Self Organizing Map ◽  
Distribution Characteristics ◽  
Mean Values ◽  
Spatial Distribution Characteristics

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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