Litcius/Paper detail

Quantifying the impact of factors on soil available arsenic using machine learning

Zhaoyang Han, Jun Yang, Yunxian Yan, Chen Zhao, Xiaoming Wan, Chuang Ma, Huading Shi

2024Environmental Pollution16 citationsDOI

Topics & Concepts

Random forestEnvironmental scienceSoil waterPredictive modellingHuman healthArsenicMachine learningComputer scienceSoil scienceEnvironmental healthChemistryMedicineOrganic chemistryArsenic contamination and mitigationHeavy metals in environmentMine drainage and remediation techniques
Quantifying the impact of factors on soil available arsenic using machine learning | Litcius