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Smart aeration strategy for electroplating wastewater: Insights from a dynamic interaction networks based interpretable optimization.

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Bibliographic Details
Title:	Smart aeration strategy for electroplating wastewater: Insights from a dynamic interaction networks based interpretable optimization.
Authors:	Zhang Z; School of Geographical Sciences, Fujian Normal University, Fuzhou, 350007, China., Peng J; Zhongchengjian Shengyi (Shenzhen) Environmental Technology Co., Ltd, China., Yang Y; China South Municipal Engineering Design and Research Institute Co., Ltd, China., Lai R; Guangzhou Panyu Environmental Engineering Co., Ltd, China., Huang R; China 19th Metallurgical Group Co., Ltd. (MCC19), China., Gao Y; Shenzhen Baoanwan Environmental Technology Development Co., Ltd, China., Liu W; School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China. Electronic address: eseliuweey@gzhu.edu.cn., Wang L; State Key Laboratory of Heavy Oil Processing at Karamay, China University of Petroleum-Beijing at Karamay, Karamay, Xinjiang, 834000, China; School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China. Electronic address: wlong@cupk.edu.cn.
Source:	Journal of environmental management [J Environ Manage] 2026 Feb 15; Vol. 400, pp. 128682. Date of Electronic Publication: 2026 Jan 28.
Publication Type:	Journal Article
Journal Info:	Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1095-8630
DOI:	10.1016/j.jenvman.2026.128682