Use of machine-learning and receptor models for prediction and source apportionment of heavy metals in coastal reclaimed soils
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Title
Use of machine-learning and receptor models for prediction and source apportionment of heavy metals in coastal reclaimed soils
Authors
Keywords
Source apportionment, Spatial prediction, Heavy metal, Random forest, Positive matrix factorization
Journal
ECOLOGICAL INDICATORS
Volume 122, Issue -, Pages 107233
Publisher
Elsevier BV
Online
2020-12-17
DOI
10.1016/j.ecolind.2020.107233
References
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