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Machine learning method for predicting cadmium concentrations in rice near an active copper smelter based on chemical mass balance.
Mi, Yazhu; Zhou, Jun; Liu, Mengli; Liang, Jiani; Kou, Leyong; Xia, Ruizhi; Tian, Ruiyun; Zhou, Jing.
Affiliation
  • Mi Y; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
  • Zhou J; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; National Engineering and Technology Research Center for Red Soil Improvement, Red Soil Ecological Experiment Station, Chinese Academy of Sciences, Yingtan, 33
  • Liu M; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
  • Liang J; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
  • Kou L; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
  • Xia R; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
  • Tian R; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China.
  • Zhou J; Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; National Engineering and Technology Research Center for Red Soil Improvement, Red Soil Ecological Experiment Station, Chinese Academy of Sciences, Yingtan, 33
Chemosphere ; 319: 138028, 2023 Apr.
Article in En | MEDLINE | ID: mdl-36736477
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Soil Pollutants Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Chemosphere Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Soil Pollutants Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Chemosphere Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom