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Updated: Jan 17, 2026

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
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可解释的建模用于废水处理中的废水有机负载控制和优化

Qing Wei1, Yongqi Chen1, Huijin Zhang1

  • 1State Key Laboratory of Water Pollution Control and Green Resource Recycling, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Ministry of Education Key Laboratory of Yangtze River Water Environment, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.

Bioresource technology
|September 14, 2025
PubMed
概括

这项研究使用机器学习 (XGBoost和SHAP) 来预测废水处理厂的废水有机负荷 (ECOD). 确定了诸如通风率等关键变量,从而实现了优化运营和减少环境影响.

关键词:
数据驱动优化的优化.极端的梯度增强了极端的梯度.非线性特征相互作用沙普利添加剂的解释废水处理厂的废水处理厂.

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