Multivariate receptor models and robust geostatistics to estimate source apportionment of heavy metals in soils

2019 ◽  
Vol 244 ◽  
pp. 72-83 ◽  
Author(s):  
Jianshu Lv
Keyword(s):  
Heavy Metals ◽  
Source Apportionment ◽  
Receptor Models ◽  
Robust Geostatistics ◽  
Heavy Metals In Soils

Source Apportionment of Heavy Metals in Soils Using Multivariate Statistics and Geostatistics

Pedosphere ◽  
2013 ◽  
Vol 23 (4) ◽  
pp. 437-444 ◽  
Author(s):  
Ming-Kai QU ◽  
Wei-Dong LI ◽  
Chuan-Rong ZHANG ◽  
Shan-Qin WANG ◽  
Yong YANG ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Source Apportionment ◽  
Multivariate Statistics ◽  
Heavy Metals In Soils

scholarly journals Use of machine-learning and receptor models for prediction and source apportionment of heavy metals in coastal reclaimed soils

2021 ◽  
Vol 122 ◽  
pp. 107233
Author(s):  
Huan Zhang ◽  
Aijing Yin ◽  
Xiaohui Yang ◽  
Manman Fan ◽  
Shuangshuang Shao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heavy Metals ◽  
Source Apportionment ◽  
Receptor Models ◽  
Reclaimed Soils

Spatial distribution and source apportionment of heavy metals in soils of Gebeng industrial city, Malaysia

2014 ◽  
Vol 73 (1) ◽  
pp. 115-126 ◽  
Author(s):  
Mohammed Amjed Hossain ◽  
Nasly M. Ali ◽  
Mir Sujaul Islam ◽  
H. M. Zakir Hossain
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Source Apportionment ◽  
Industrial City ◽  
Heavy Metals In Soils

Source apportionment of heavy metals in farmland soil of Wuwei, China: Comparison of three receptor models

2019 ◽  
Vol 237 ◽  
pp. 117792 ◽  
Author(s):  
Qingyu Guan ◽  
Rui Zhao ◽  
Ninghui Pan ◽  
Feifei Wang ◽  
Yanyan Yang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Source Apportionment ◽  
Receptor Models ◽  
Farmland Soil
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