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  • 标题:Classification and Regression Tree Approach for Prediction of Potential Hazards of Urban Airborne Bacteria during Asian Dust Events
  • 本地全文:下载
  • 作者:Keunje Yoo ; Hyunji Yoo ; Jae Min Lee
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:11823
  • DOI:10.1038/s41598-018-29796-7
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:, is an important atmospheric parameter that significantly affects the potential airborne bacterial hazard during AD events. The results show that the CART approach may be useful to effectively derive a predictive understanding of potential airborne bacterial hazards during AD events and thus has a possible for improving decision-making tools for environmental policies associated with air pollution and public health.
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