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Updated: Jul 15, 2025

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
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Published on: July 4, 2014

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对扩展生物联体模型和机器学习方法预测酸盐毒性能力的比较分析

Junyoung Park1, Jae Hwan Yang2, Jihyeun Jung3

  • 1Department of Civil and Environmental Engineering, Seoul National University, Seoul, 08826, South Korea; Institute of Construction and Environmental Engineering, Seoul National University, Seoul, 08826, South Korea.

Chemosphere
|October 4, 2023
PubMed
概括

本研究使用机器学习模型预测无机酸盐 (As(V)) 毒性,并将其与生物联体模型 (BLM) 进行比较. 扩展的BLM显示了最高的准确性,但ML模型为环境监测提供了更简单的应用.

关键词:
艾利维布里奥·菲舍里 (Aliivibrio fischeri) 是一个鱼类生物.亚酸盐是一种酸盐.扩展的生物联结体模型机器学习是机器学习.毒性预测模型的毒性预测模型

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