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Advantages of intermittently aerated SBR over conventional SBR on nitrogen removal for the treatment
Xiaoyan Song, Rui Liu, Lujun Chen, Baogang Dong, Tomoki Kawagishi
Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 3, doi: 10.1007/s11783-017-0941-7
Keywords: Anoxic stress Carbon source Digested piggery wastewater Intermittently aerated SBR (IASBR) Total nitrogen
Xiaolin Sheng, Rui Liu, Xiaoyan Song, Lujun Chen, Kawagishi Tomoki
Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 3, doi: 10.1007/s11783-017-0929-3
Keywords: aeration Microbial community Partial nitrification–denitrification process Sequencing batch reactor (SBR
Optimization of phosphorus removal in uniFed SBR system for domestic wastewater treatment
Xuguang TANG, Shuying WANG, Yongzhen PENG
Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 4, Pages 475-481 doi: 10.1007/s11783-010-0244-8
Keywords: UniFed sequencing batch reactor (SBR) phosphorus removal volumetric exchange ratio (VER) alternation
Advanced nitrogen removal by pulsed sequencing batch reactors (SBR) with real-time control
YANG Qing, PENG Yongzhen, YANG Anming, LI Jianfeng, GUO Jianhua
Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 4, Pages 488-492 doi: 10.1007/s11783-007-0078-1
Keywords: reduction potential oxidation reduction operational feasibility nitrogen
Advanced nitrogen removal using pilot-scale SBR with intelligent control system built on three layer
YANG Qing, WANG Shuying, YANG Anming, GUO Jianhua, BO Fengyang
Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1, Pages 33-38 doi: 10.1007/s11783-007-0006-4
Keywords: eutrophication pilot-scale aerobic-anoxic stabilization oxidation reduction nitrification
LI Jun, NI Yongjiong, WEI Su, CHENG Guobiao, OU Changjin, PENG Yongzhen, GU Guowei, LU Jingen
Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 1, Pages 99-102 doi: 10.1007/s11783-008-0017-9
Keywords: DO relevant biological process nitrogen pH
Simultaneous denitrifying phosphorus accumulation in a sequencing batch reactor
YUAN Linjiang, HAN Wei, WANG Lei, YANG Yongzhe, WANG Zhiying
Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1, Pages 23-27 doi: 10.1007/s11783-007-0004-6
Keywords: SBR synthetic wastewater Induced DNPA resource removal ability
Effects of shear force on formation and properties of anoxic granular sludge in SBR
Xinyan ZHANG, Binbin WANG, Qingqing HAN, Hongmei ZHAO, Dangcong PENG
Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6, Pages 896-905 doi: 10.1007/s11783-013-0539-7
Keywords: denitrification anoxic granular sludge sequencing batch reactors (SBR) shear force
Zihao Zhao, Zihao Wang, Jialuo Yuan, Jun Ma, Zheling He, Yilan Xu, Xiaojia Shen, Liang Zhu
Engineering 2021, Volume 7, Issue 2, Pages 195-202 doi: 10.1016/j.eng.2020.07.027
The problem of effluent total nitrogen (TN) at most of the wastewater treatment plants (WWTPs) in China is important for meeting the related water quality standards, even under the condition of high energy consumption. To achieve better prediction and control of effluent TN concentration, an efficient prediction model, based on controllable operation parameters, was constructed in a sequencing batch reactor process. Compared with previous models, this model has two main characteristics: ① Superficial gas velocity and anoxic time are controllable operation parameters and are selected as the main input parameters instead of dissolved oxygen to improve the model controllability, and ② the model prediction accuracy is improved on the basis of a feedforward neural network (FFNN) with algorithm optimization. The results demonstrated that the FFNN model was efficiently optimized by scaled conjugate gradient, and the performance was excellent compared with other models in terms of the correlation coefficient (R). The optimized FFNN model could provide an accurate prediction of effluent TN based on influent water parameters and key control parameters. This study revealed the possible application of the optimized FFNN model for the efficient removal of pollutants and lower energy consumption at most of the WWTPs.
Keywords: Feedforward neural network (FFNN) Algorithms Controllable operation parameters Sequencing batch reactor (SBR
Title Author Date Type Operation
Advantages of intermittently aerated SBR over conventional SBR on nitrogen removal for the treatment
Xiaoyan Song, Rui Liu, Lujun Chen, Baogang Dong, Tomoki Kawagishi
Journal Article
Comparative study on microbial community in intermittently aerated sequencing batch reactors (SBR) anda traditional SBR treating digested piggery wastewater
Xiaolin Sheng, Rui Liu, Xiaoyan Song, Lujun Chen, Kawagishi Tomoki
Journal Article
Optimization of phosphorus removal in uniFed SBR system for domestic wastewater treatment
Xuguang TANG, Shuying WANG, Yongzhen PENG
Journal Article
Advanced nitrogen removal by pulsed sequencing batch reactors (SBR) with real-time control
YANG Qing, PENG Yongzhen, YANG Anming, LI Jianfeng, GUO Jianhua
Journal Article
Advanced nitrogen removal using pilot-scale SBR with intelligent control system built on three layer
YANG Qing, WANG Shuying, YANG Anming, GUO Jianhua, BO Fengyang
Journal Article
controlling system for nitrogen and phosphorus removal of municipal wastewater in a sequencing batch reactor (SBR
LI Jun, NI Yongjiong, WEI Su, CHENG Guobiao, OU Changjin, PENG Yongzhen, GU Guowei, LU Jingen
Journal Article
Simultaneous denitrifying phosphorus accumulation in a sequencing batch reactor
YUAN Linjiang, HAN Wei, WANG Lei, YANG Yongzhe, WANG Zhiying
Journal Article
Effects of shear force on formation and properties of anoxic granular sludge in SBR
Xinyan ZHANG, Binbin WANG, Qingqing HAN, Hongmei ZHAO, Dangcong PENG
Journal Article