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Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils.

Autor: Proshad R; State Key Laboratory of Mountain Hazards and Engineering Safety, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, Sichuan, China; University of Chinese Academy of Sciences, Beijing 100049, China., Asharaful Abedin Asha SM; Geological Survey of Bangladesh, Segunbagicha, Dhaka 1000, Bangladesh., Tan R; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China., Lu Y; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China., Abedin MA; Laboratory of Environment and Sustainable Development, Department of Soil Science, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh., Ding Z; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China., Zhang S; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China., Li Z; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China., Chen G; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China., Zhao Z; State Key Laboratory of Mountain Hazards and Engineering Safety, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, Sichuan, China. Electronic address: zhaozj@imde.ac.cn.

Publikováno v: Journal of hazardous materials [J Hazard Mater] 2024 Nov 19; Vol. 481, pp. 136536. Date of Electronic Publication: 2024 Nov 19.