Search Results (3)

Oxidation ditch and Anaerobic–Anoxic–Oxic (A²/O) processes have been applied in urban wastewater treatment plants for decades, but the differences between two processes in engineering applications are less studied. Based on the continuous monitoring of Ningyang’s sewage treatment plant (Shandong, China) for one year, this study systematically analyzed the removal efficiencies of nutrients in the oxidation ditch and the modified high-efficiency multi-cycle A²/O processes. The results showed that chemical oxygen demand (COD) and total phosphorus (TP) removal in the modified high-efficiency multi-cycle A²/O process of the Phase II project was better than that in the oxidation ditch process of the Phase I project, and the average concentration of COD and TP in the effluent was 49.9% and 51.7% lower than that in the oxidation ditch process, respectively. The removal rate of ammonia nitrogen (NH₄⁺-N) by the two processes was basically the same, while the total nitrogen (TN) effluent concentration of the oxidation ditch process was 31.4% lower than that in the high-efficiency multi-cycle A²/O process. In summary, the high-efficiency multi-cycle A²/O process had a better treatment performance regarding nutrient removal than the oxidation ditch process under the same conditions. Furthermore, the engineering and operational costs of the high-efficiency multi-cycle A²/O process were lower. Full article

Methane (CH₄) is one of the potent greenhouse gases emitted from municipal wastewater treatment plants. The characteristics of methane emission from municipal wastewater treatment plants (WWTPs) have attracted lots of concern from related researchers. The present work investigated the source of methanogens and methane emission properties from two WWTPs in Xi’an, and one is employed in an Orbal oxidation ditch, and the other is anaerobic/anoxic/oxic (A/A/O). The measurement of specific methanogenic activity (SMA) and coenzyme F₄₂₀ concentration, together with Fluorescence in situ hybridization (FISH), was used to determine the amount and activity of methanogens in two WWTPs. Additionally, a combined activated sludge model was built and predicted the growth of methanogens and other key microorganisms in the sludge. The results showed that the average CH₄ emission flux from the Orbal oxidation ditch (22.74 g CH₄ /(m²·d)) was much higher than that from A/A/O (9.57 g CH₄/(m²·d)). The methane emission factors in the Orbal oxidation ditch and A/A/O processes were 1.18 and 0.21 g CH₄ /(m³ INF), respectively. These distinct methane emission characteristics between two WWTPs are mainly attributed to the higher activity and content of methanogens, as well as the discontinuous aeration in the Orbal oxidation ditch. Additionally, dissolved oxygen concentration, water temperature, and the presence of nitrate/nitrite were also important factors that influenced methane emission. The FISH analysis showed that Methanococcus was the dominant methanogen in both WWTPs. In addition, the combined model successfully simulated the growth of methanogens in WWTPs. Methanogens in WWTPs were mainly derived from the sewer system, and the cumulative effect led to an increase in the abundance of methanogens in activated sludge. The outcomes of this study provide new insights in the prediction and management of GHG emission from WWTPs. Full article

In this study, carbon emissions in three full-scale wastewater treatment plants were determined by the emission factor method. Moreover, the correlation between basic parameters (influent water parameters and pollutant removal efficiency) and carbon emissions was examined via a structural equation model (SEM). The results showed a significant variation in the total carbon emission intensity of plants over time. The average total carbon emission intensity of plants A, B and C were 0.314, 0.404 and 0.363 kg eqCO₂/m³, respectively. Meanwhile, the indirect carbon emission caused by energy and chemical agent consumption accounts for the majority of total carbon emissions (about 85%). Generally, statistical analysis results show that carbon emission intensity is positively correlated with pollutant removal efficiency. Notably, RTN showed the highest positive correlation with E_ind, followed by RTN > RCOD_Cr > RTP > TN > RNH₃-N > NH₃-N > TP. Moreover, capacity showed the greatest negative contribution to E_ind, followed by COD_Cr. In contrast, the positive contribution to E_dir was followed by the sequence of RTN > RCOD_Cr > TN > RNH₃-N > NH₃-N. Notably, COD_Cr showed a significantly negative correlation with E_dir, while TP and its removal showed little correlation with E_dir. Full article