Optimizing Chemical Phosphorus Removal for Wastewater Treatment: Insights from Binary Machine Learning Modeling with Elasticity and Productivity Evaluation

作     者：Huang, Runyao Wang, Hongtao Mąkinia, Jacek Jin, Sitian Zhou, Zhen Zhang, Ming Yu, Chenyang Xie, Li 

作者机构：College of Environmental Science and Engineering Key Laboratory of Yangtze River Water Environment Ministry of Education State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai200092 China UNEP-Tongji Institute of Environment for Sustainable Development Tongji University Shanghai200092 China Shanghai Institute of Pollution Control and Ecological Security Tongji University Shanghai200092 China Faculty of Civil and Environmental Engineering Gdańsk University of Technology Narutowicza Street 11/12 Gdańsk80-233 Poland Shanghai Engineering Research Center of Energy – Saving in Heat Exchange Systems College of Environmental and Chemical Engineering Shanghai University of Electric Power Shanghai200090 China Shanghai Chengtou Wastewater Treatment Co. Ltd Shanghai201203 China 

出 版 物：《SSRN》 

年 卷 期：2024年

核心收录：

主　　题：Wastewater treatment 

摘      要：Ensuring compliance with legal discharge regulations for total phosphorus (TP) is crucial in wastewater treatment plants (WWTPs), considering the minimization of chemical consumption like poly aluminum chloride (PAC). However, the relationship between actual TP removal and PAC consumption presents numerical complexities, hindering data-driven modeling efforts. This study analyzed daily observations over one-year period in WWTP to assess elasticity and productivity, revealing decoupling and congestion patterns between PAC consumption and TP removal. Binary dependent features were established for modeling. The results highlighted the importance of wastewater inflow and biological treatment features, suggesting PAC reduction to mitigate decoupling and congestion. Thus, insights were obtained for sustainable WWTP operations to sufficiently leverage influent characteristics and utilize biological treatment to minimize chemical dosing. The assessment workflow, incorporating elasticity and productivity considerations, establishes a robust basis for further optimization within a normalized production trajectory in wastewater sector, concurrently lowering resource depletion and enhancing environmental benefits. © 2024, The Authors. All rights reserved.