换一批Three-dimensional spatial prediction of Zn in the soil of a former tire manufacturing plant using machine learning and readily attainable multisource auxiliary data.
第一作者：
Yuxuan,Peng
第一单位：
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
作者：
医学主题词
土壤(Soil);土壤污染物(Soil Pollutants);环境监测(Environmental Monitoring);环境污染物(Environmental Pollutants);锌(Zinc)
DOI
10.1016/j.envpol.2022.120931
PMID
36565911
发布时间
2023-01-17
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