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Wu CH, Tsai SB, Liu W, Shao XF, Xia YK, Wacławek M. Green environment and sustainable development: methods and applications. Ecol Chem Eng S. 2021;28(4):467-70. DOI: 10.2478/eces-2021-0030.Search in Google Scholar
Liu W, Tsai SB, Wu CH, Shao X, Wacławek M. Corporate environmental management and sustainable operation: theory and application. Ecol Chem Eng S. 2022;29(3):283-5. DOI: 10.2478/eces-2022-0020.Search in Google Scholar
Obotey Ezugbe E, Rathilal S. Membrane technologies in wastewater treatment: a review. Membranes. 2020;10(5):89. DOI: 10.3390/membranes10050089.Search in Google Scholar
Crini G, Lichtfouse E. Advantages and disadvantages of techniques used for wastewater treatment. Environ Chem Lett. 2019;17:145-55. DOI: 10.1007/s10311-018-0785-9.Search in Google Scholar
Chai WS, Cheun JY, Kumar PS. A review on conventional and novel materials towards heavy metal adsorption in wastewater treatment application. J Cleaner Prod. 2021;296:126589. DOI: 10.1016/j.jclepro.2021.126589.Search in Google Scholar
Van DR, Benedetti L, De JJ. Performance evaluation of a smart buffer control at a wastewater treatment plant. Water Res. 2017;125:180-90. DOI: 10.1016/j.watres.2017.08.042.Search in Google Scholar
Vilanova R, Katebi R, Alfaro V. Multi-loop PI-based control strategies for the activated sludge process. IEEE Conf Emerging Technol Factory Automation, Mallorca, Spain. 2009:1-8. DOI: 10.1109/etfa.2009.5347062.Search in Google Scholar
Han Y, Brdys MA, Piotrowski R. Nonlinear PI control for dissolved oxygen tracking at wastewater treatment plant. IFAC Proc Volumes. 2008;41(2):13587-92. DOI: 10.3182/20080706-5-kr-1001.02301.Search in Google Scholar
Samsudin SI, Rahmat MF, Wahab NA. Improvement of activated sludge process using enhanced nonlinear PI controller. Arabian J Sci Eng. 2014;39(8):6575-86. DOI: 10.1007/s13369-014-1285-2.Search in Google Scholar
Liu X, Yu W. Research of dissolved oxygen concentration control strategy based on the fuzzy self-tuning PID parameter. IEEE Conf Control Decision, Chongqing, China. 2017;5928-32. DOI: 10.1109/ccdc.2017.7978229.Search in Google Scholar
Wahab NA, Katebi R, Balderud J. Multivariable PID control design for activated sludge process with nitrification and denitrification. Biochem Eng J. 2009;45(3):239-48. DOI: 10.1016/j.bej.2009.04.016.Search in Google Scholar
Ye HT, Li ZQ, Luo WG. Dissolved oxygen control of the activated sludge wastewater treatment process using adaptive fuzzy PID control. Conf Control, Xi’an, China. 2013;7510-3. DOI: 10.1016/j.compchemeng.2011.09.011.Search in Google Scholar
Kroll S, Dirckx G, Donckels BMR. Modelling real-time control of WWTP influent flow under data scarcity. Water Sci Technol. 2016;73(7):1637-43. DOI: 10.2166/wst.2015.64.1.Search in Google Scholar
Hernández-del-Olmo F, Gaudioso E, Duro N. Machine learning weather soft-sensor for advanced control of wastewater treatment plants. Sensors. 2019;19(14):3139. DOI: 10.3390/s19143139.Search in Google Scholar
Nguyen AT, Taniguchi T, Eciolaza Ll. Fuzzy control systems: Past, present and future. IEEE Computat Intelligence Magaz. 2019;14(1):56-68. DOI: 10.1109/MCI.2018.2881644.Search in Google Scholar
Wang CH, Kim J, Malgras V, Na J, Lin JJ, You J, et al. Metal-organic frameworks and their derived materials: emerging catalysts for a sulfate radicals‐based advanced oxidation process in water purification. Small. 2019;15(16):1900744. DOI: 10.1002/smll.201900744.Search in Google Scholar
Cheng PP, Jin Q, Jiang H, Hua M, Ye Z. Efficiency assessment of rural domestic sewage treatment facilities by a slacked-based DEA model. J Cleaner Prod. 2020;267:122111. DOI: 10.1016/j.jclepro.2020.122111.Search in Google Scholar
Wu HP, Gao XF, Wu M, Zhu Y, Xiong RW, Ye SJ. The efficiency and risk to groundwater of constructed wetland system for domestic sewage treatment-A case study in Xiantao, China. J Cleaner Prod. 2020;277:123384. DOI: 10.1016/j.jclepro.2020.123384.Search in Google Scholar
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