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Corrigendum to "Machine learning can identify the sources of heavy metals in agricultural soil: A case study in northern Guangdong Province, China" [Ecotoxicol. Environ. Saf. 245 (2022) 114107]
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 246, S. 114192
ISSN: 1090-2414
Machine learning can identify the sources of heavy metals in agricultural soil: A case study in northern Guangdong Province, China
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 245, S. 114107
ISSN: 1090-2414
Variation in foliar uptake of polycyclic aromatic hydrocarbons in six varieties of winter wheat
In: Environmental science and pollution research: ESPR, Band 24, Heft 35, S. 27215-27224
ISSN: 1614-7499
Using multi-technology to characterize transboundary Hg pollution in the largest presently active Hg deposit in China
In: Environmental science and pollution research: ESPR, Band 30, Heft 34, S. 82124-82141
ISSN: 1614-7499
Inventories of heavy metal inputs and outputs to and from agricultural soils: A review
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 164, S. 118-124
ISSN: 1090-2414