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Research on the engineering of anammox process for treating iron oxide red wastewater
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Jun-feng YANG1, Zhen-guo CHEN2, 3, Xu-wen ZHENG2, yu ZHANG1, Jia-yi LI1, Song-wei ZHOU2, Xiao-jun WANG1, 2, *
China Environmental Science | 2025, 45(1) : 158 - 166
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China Environmental Science | 2025, 45(1): 158-166
• Water Pollution Control •
Research on the engineering of anammox process for treating iron oxide red wastewater
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Jun-feng YANG1, Zhen-guo CHEN2, 3, Xu-wen ZHENG2, yu ZHANG1, Jia-yi LI1, Song-wei ZHOU2, Xiao-jun WANG1, 2, *
Affiliations
  • 1.School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
  • 2.Hua An Biotech Co., Ltd., Foshan 528300, China
  • 3.School of Environment, South China Normal University, Guangzhou 510006, China
Published: 2025-01-20
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In this study, a full-scale CANON system was constructed to treat high ammonia nitrogen iron oxide wastewater following physicochemical pretreatment. Over the course of 165days of continuous operation, the CANON system demonstrated excellent stability and shock resistance, achieving ammonia and total nitrogen removal efficiencies (TNRE) of 90% and 80%, respectively.Spearman correlation analysis and SHAP feature importance analysis were employed to elucidate the impact of water quality and environmental parameters on TNRE. Microbial community profiling unveiled substantial shifts in microbial population structures within the system, marked by the transition of the dominant anammox bacteria from Candidatus Anammoxoglobus to Candidatus Kuenenia, accounting for a relative abundance of 13.22%. Nitrosomonas was identified as the predominant ammonium-oxidizing bacteria with a relative abundance of 1.27%. Additionally, a machine learning model based on XGBoost was developed, which achieved a predictive accuracy of over 99.9% for TNRE, with a prediction precision of 98% for new data points in practical applications. This research provides valuable empirical insights into the engineering application and intelligent development of anammox processes.

anammox  /  iron oxide red wastewater  /  microbial community  /  machine learning model
Jun-feng YANG, Zhen-guo CHEN, Xu-wen ZHENG, yu ZHANG, Jia-yi LI, Song-wei ZHOU, Xiao-jun WANG. Research on the engineering of anammox process for treating iron oxide red wastewater[J]. China Environmental Science, 2025 , 45 (1) : 158 -166 .
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Year 2025 volume 45 Issue 1
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Article Info
  • Receive Date：2024-06-28
  • Online Date：2026-03-18
  • Published：2025-01-20
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  • Received：2024-06-28
Funding
Affiliations
    1.School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
    2.Hua An Biotech Co., Ltd., Foshan 528300, China
    3.School of Environment, South China Normal University, Guangzhou 510006, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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