Whether the phosphorus removal chemical in wastewater treatment plants (WWTPs) can be accurately dosed not only affects the compliance of the effluent total phosphorus but also has a huge impact on sludge production and energy consumption during the wastewater treatment process. For the effluent from the secondary sedimentation tank of a wastewater treatment plant in southern China, based on experimental screening of the optimal pH value, chemical types and concentrations of chemicals, coagulation time, etc., a dynamic dosage prediction feedforward model for chemical phosphorus removal agents in the effluent from the secondary sedimentation tank of the WWTPs was developed to predict the most economical dosage of the chemicals. Meanwhile, combined with the adaptive fuzzy neural network P feedback control algorithm, dynamic real-time control of chemical dosing was achieved. Through micro-control design, a software model for signal collection and feedback in a specific phosphorus removal scenario was formed, and an automatic control system for chemical dosing was ultimately developed for a WWTP in a city in southern China. After stable operation for two months, the system achieved a 100% compliance rate for effluent total phosphorus (TP) concentration and a 67% improvement in effluent stability, helping the wastewater treatment plant achieve stable and precise control of the phosphorus removal process in the secondary sedimentation tank effluent, which is conducive to further promoting its implementation of low-carbon pathways.

The Integrated Fixed-film Activated Sludge (IFAS) partial nitritation/anammox (PN/A) process offers robust nitrogen removal, yet startup using pre-colonized carriers incurs high logistical costs. This study investigated the mechanism of inoculating a pilot-scale IFAS system with granular anammox sludge to treat anaerobic digestion supernatant. The treatment train integrated coagulation, pre-aeration, and an IFAS-PN/A unit. The granular-inoculated IFAS-PN/A unit achieved stable biofilm formation and a nitrogen removal rate of 0.36 kg N m⁻³ d⁻¹, benefiting from the effective interception of excessive organic carbon by the preceding coagulation and pre-aeration steps. Microbial analysis identified Candidatus brocadia as the dominant anammox genus, revealing a distinct migration pathway: bacteria transferred from disintegrating granules to the suspended sludge—acting as a transitional vector—before ultimately colonizing the carriers. While granular biomass diminished, anammox abundance in the biofilm increased to 12.0% by day 166. Furthermore, distinct spatial niches were observed: ammonium-oxidizing bacteria (AOB) dominated the suspended sludge, while nitrite-oxidizing bacteria (NOB) were effectively suppressed. These findings demonstrate the feasibility of granular inoculation for cost-effective IFAS startup and provide critical insights into the bacterial migration dynamics required for stable operation.