Predicting Bioaccumulation of Potentially Toxic Element in Soil–Rice Systems Using Multi-Source Data and Machine Learning Methods: A Case Study of an Industrial City in Southeast China

Predicting Bioaccumulation of Potentially Toxic Element in Soil–Rice Systems Using Multi-Source Data and Machine Learning Methods: A Case Study of an Industrial City in Southeast China

Potentially toxic element (PTE) pollution in farmland soils and crops is a serious cause of concern in China. To analyze the bioaccumulation characteristics of chromium (Cr), zinc (Zn), copper (Cu), and nickel (Ni) in soil-rice systems, 911 pairs of top soil (0–0.2 m) and rice samples were collected...

Full description

Bibliographic Details
Main Authors: Modian Xie, Hongyi Li, Youwei Zhu, Jie Xue, Qihao You, Bin Jin, Zhou Shi
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Land
Subjects:
potentially toxic elements
soil-rice systems
bioaccumulation coefficient
machine learning methods
potential dominators
Online Access:https://www.mdpi.com/2073-445X/10/6/558

Internet

https://www.mdpi.com/2073-445X/10/6/558

Similar Items