Wastewater Flow Rate Research Articles

An analysis of 45 large-scale wastewater sites in England to estimate SARS-CoV-2 community prevalence

Accurate surveillance of the COVID-19 pandemic can be weakened by under-reporting of cases, particularly due to asymptomatic or pre-symptomatic infections, resulting in bias. Quantification of SARS-CoV-2 RNA in wastewater can be used to infer infection prevalence, but uncertainty in sensitivity and considerable variability has meant that accurate measurement remains elusive. Here, we use data from 45 sewage sites in England, covering 31% of the population, and estimate SARS-CoV-2 prevalence to within 1.1% of estimates from representative prevalence surveys (with 95% confidence). Using machine learning and phenomenological models, we show that differences between sampled sites, particularly the wastewater flow rate, influence prevalence estimation and require careful interpretation. We find that SARS-CoV-2 signals in wastewater appear 4–5 days earlier in comparison to clinical testing data but are coincident with prevalence surveys suggesting that wastewater surveillance can be a leading indicator for symptomatic viral infections. Surveillance for viruses in wastewater complements and strengthens clinical surveillance, with significant implications for public health.

ANALYSIS OF FLOWRATE, SULFATE, AND TOTAL SULFUR PATTERN IN WASTEWATER INLET TANKS FOR HS MANAGEMENT

Hydrogen sulfide (H2S) is a major source of concrete corrosion in a wastewater treatment plant (WWTP) that causes significant financial losses. Variations in the flow rate and composition of incoming wastewater has significant impact on H2S generation. During anaerobic conditions, sulfur present in excreta and sulfate from rainfall become the source of electron acceptors for the conversion of sulfate to sulfide in wastewater. Sulfide, in turn, is converted to H2S and later to sulfuric acid which leads to concrete corrosion. Flowrate directly relates to the amount of wastewater entering the plant. Hence understanding flow rate pattern will help to analyze H2S generation. Flow rate and H2S concentrations were recorded every two-hours for four days in a wastewater treatment plant. Wastewater samples of 50ml were collected at each sampling event coinciding the recording intervals. Samples were analyzed for sulphate and sulfide concentrations using HACH© kits. Total sulfur was calculated from the collected data. The correlations were analyzed using Minitab©. It was found out that average flow rate was negatively related to average H2S concentration. H2S concentration is higher during night when the flow rate is lower, which is a result of greater resident time. Flowrate changes in a cyclic manner throughout the day. During night, sulfate and total sulfur concentrations are higher, H2S concentration is maximum during this time. It is contrariwise during the day. Sulfate and total sulfide follow a pattern that is similar to that of flowrate. Analyzing these parameters is a critical step in successfully modelling H2S generation.

ANALYSIS OF FLOWRATE, SULFATE, AND TOTAL SULFUR PATTERN IN WASTEWATER INLET TANKS FOR HS MANAGEMENT

Hydrogen sulfide (H2S) is a major source of concrete corrosion in a wastewater treatment plant (WWTP) that causes significant financial losses. Variations in the flow rate and composition of incoming wastewater has significant impact on H2S generation. During anaerobic conditions, sulfur present in excreta and sulfate from rainfall become the source of electron acceptors for the conversion of sulfate to sulfide in wastewater. Sulfide, in turn, is converted to H2S and later to sulfuric acid which leads to concrete corrosion. Flowrate directly relates to the amount of wastewater entering the plant. Hence understanding flow rate pattern will help to analyze H2S generation. Flow rate and H2S concentrations were recorded every two-hours for four days in a wastewater treatment plant. Wastewater samples of 50ml were collected at each sampling event coinciding the recording intervals. Samples were analyzed for sulphate and sulfide concentrations using HACH© kits. Total sulfur was calculated from the collected data. The correlations were analyzed using Minitab©. It was found out that average flow rate was negatively related to average H2S concentration. H2S concentration is higher during night when the flow rate is lower, which is a result of greater resident time. Flowrate changes in a cyclic manner throughout the day. During night, sulfate and total sulfur concentrations are higher, H2S concentration is maximum during this time. It is contrariwise during the day. Sulfate and total sulfide follow a pattern that is similar to that of flowrate. Analyzing these parameters is a critical step in successfully modelling H2S generation.

Calculation of pollution of water bodies by wastewater of the Moscow region enterprise

In this paper, the author studies and calculates pollution of water bodies by wastewater of the Moscow region enterprise. The author reveals the general principles of determining the maximum discharge of pollutants as established standards for the water bodies quality, as well as the permissible and actual concentration, maximum permissible discharge, and total wastewater flow rate.

Monitoring SARS-CoV-2 RNA in Wastewater with RT-qPCR and Chip-Based RT-dPCR: Sewershed-Level Trends and Relationships to COVID-19.

We evaluated the performance of reverse transcription quantitative PCR (uniplex and duplex RT-qPCR) and chip-based digital PCR (duplex RT-dPCR) using CDC N1 and CDC N2 assays for longitudinal monitoring of SARS-CoV-2 RNA in influent wastewater samples (n = 281) from three wastewater plants in Ohio from January 2021 to January 2022. Human fecal virus (PMMoV) and wastewater flow rate were used to normalize SARS-CoV-2 concentrations. SARS-CoV-2 measurements and COVID-19 cases were strongly correlated, but normalization effects on correlations varied between sewersheds. SARS-CoV-2 measurements by RT-qPCR were strongly correlated with 7-day moving average COVID-19 cases (average Spearman’s ρ = 0.58, p < 0.05). SARS-CoV-2 was detected more frequently in samples with duplex RT-dPCR than with duplex RT-qPCR during periods of low COVID-19 cases. Duplex and uniplex RT-qPCR N1 concentrations were more strongly correlated with cases (ρ = 0.62) than N2 (ρ = 0.52). RT-dPCR correlations (average ρ = 0.21) were weaker than those of RT-qPCR (average ρ = 0.58). We also share practical experience from establishing wastewater surveillance. Per sample, RT-qPCR had a lower cost ($6 vs $18) and sample turnaround time (3–4 h vs 7–9 h) than RT-dPCR. These findings reinforce selection and use of PCR-based wastewater surveillance tools.

Estimating SARS-CoV-2 prevalence from large-scale wastewater surveillance: insights from combined analysis of 44 sites in England

PurposeAccurate surveillance of the COVID-19 pandemic can be weakened by under-reporting of cases, particularly due to asymptomatic or pre-symptomatic infections, resulting in bias. Quantification of SARS-CoV-2 RNA in wastewater (WW) can be used to infer infection prevalence, but uncertainty in sensitivity and considerable variability has meant that accurate measurement remains elusive.Methods & MaterialsData from 44 sewage sites in England, covering 31% of the population, are used in this analysis where samples are available from July 2020 to present day. Samples include the raw SARS-CoV-2 gene copy number and associated meta-data. To establish the sensitivity and specificity of the WW data, we compare to population representative prevalence surveys available across England (the ONS Covid Infection Survey - CIS). The WW data were mapped to sub-regional data of the CIS and fitted using mathematical modelling. First, a phenomenological model was developed to model how infected individuals shed SARS-CoV-2 into WW and how the markers may degrade in time and compare this to the data. Second, we develop a model to estimate SARS-CoV-2 prevalence directly from WW data which is trained on the CIS data.ResultsData from 44 sewage sites in England, shows that SARS-CoV-2 prevalence is estimated to within 1.1% of estimates from representative prevalence surveys (with 95% confidence). Using machine learning and phenomenological models, differences between sampled sites, particularly the WW flow rate, influence prevalence estimation and require careful interpretation. SARS-CoV-2 signals in WW appear 4-5 days earlier in comparison to clinical testing data but are coincident with prevalence surveys suggesting that WW surveillance can be a leading indicator for asymptomatic viral infections.ConclusionWastewater-based epidemiology complements and strengthens traditional surveillance, with significant implications for public health. Using WW to quantify infection prevalence requires knowledge of additional meta-data and outbreak detection needs to account for unexplained aberrations in WW data to improve reliability

Process scenario discovery from event logs based on activity and timing information

Wastewater treatment processes are inherently dynamic due to the large variations in influent wastewater flow rate, weather conditions, concentration,and composition. The utilization of trace clustering techniques in process mining research field is an excellent way to analyze both the execution and confirm the compliance of wastewater treatment processes. However, much of existing trace clustering research has been focused on applying activity names to assist process scenarios discovery without considering other information in event logs. In addition, many existing algorithms commonly used in the literature, such as k-means clustering approach, require prior knowledge about the number of process scenarios existed in the log, which sometimes are not known aprior. This paper presents an approach that uses timing information to assist in discovering process scenarios from event logs in wastewater treatment processes without requiring any prior knowledge about process scenarios. A real wastewater treatment process provided by a domain expert is used as a case study to investigate the effectiveness and validity of the approach. We also use five real-life event logs to compare the performance of the proposed approach for process scenario discoveries with the commonly used k-means clustering approach in terms of model’s harmonic mean of the weighted average fitness and precision, i.e., the F1 score. The experiment data shows that (1) the proposed approach is able to discover the process scenarios from event logs in wastewater treatment domain; (2) the process scenario models obtained with the additional timing information have both higher fitness and precision scores than the models obtained without the timing information.

Plastic Pipes and Their Use in Rainwater Drainage Systems

This paper studies the conditions for the use of plastic pipes in rainwater drainage systems. In this research, the author undertakes a literature review and finds out that the share of plastic pipes in the construction of gravity sewage network has significantly increased over the past 20 years. Plastic pipes low roughness ensures higher flow rates of wastewater. The peculiarity of rainwater drainage calculating methodology leads to the fact that an increase in the speed of wastewater movement leads to the formation of larger wastewater discharge in the design section of the pipeline with the same rainfall intensity. It is established that at present the cost of rainwater drainage systems construction from polypropylene pipes is 80-100% higher than from reinforced concrete (excluding the construction of pumping stations and wastewater treatment facilities).

City-wide model-based analysis of heat recovery from wastewater using an uncertainty-based approach

Around 90% of the energy requirement for urban water systems management is for heating domestic tap water. In addition, the energy content of wastewater is mainly in the form of heat (85%). Hence, there is an obvious interest in recovering a large portion of this heat. However, city-wide scenario analyses that evaluate heat recovery at various locations while considering impacts on wastewater treatment plant (WWTP) performance are currently very limited. This study presents a comprehensive model-based city-wide evaluation considering four different heat recovery locations (appliance, household, precinct and WWTP effluent) for a Swedish city with varying degrees of implementation using an uncertainty-based approach. Results show that heat recovery at the appliance level, with heat exchangers installed at 77% of the showers at domestic households, leads to a mean energy recovery of 127 MWh/day with a 0.25 °C reduction in mean WWTP inlet temperature compared to the default case without heat recovery. The highest mean temperature reduction compared to the default case is 1.5 °C when heat is recovered at the precinct level for 77% of the domestic wastewater flow rate. Finally, the impact on WWTP nitrification capacity is negligible in this case due to its large existing capacity and design.

Pharmaceutical residues in digested sewage sludge: Occurrence, seasonal variation and risk assessment for soil

The occurrences, temporal variations and ecotoxicological risks of 38 selected pharmaceuticals from 7 therapeutic classes (i.e. antibiotics, analgesics, anti-inflammatories, beta-blockers, lipid regulators, anticancer agents, and psychiatric drugs) have been observed in the anaerobically treated sludge of the urban wastewater treatment plant (WWTP) in Konya, Turkey. Sampling was carried out to assess the seasonal variations in one year. The total daily wastewater flow rate of the WWTP was approximately 200,000 m3/day, and 140 tons/day of treated sludge were produced. The total concentrations of all pharmaceutical compounds ranged from 280 to 4898 μg/kg of dry matter (dm). The dominant therapeutic class was analgesics and anti-inflammatories (49%), which was followed by antibiotics (31%). Clarithromycin and azithromycin were the most abundant compounds, with concentrations of 1496 μg/kg dm. The total daily pharmaceutical load in the treated sludge was as high as 1.002 kg/day in the winter season, while the annual pharmaceutical mass load that was discharged into the environment was estimated to be approximately 71.6 kg. The use of treated sludge as fertilizer in agricultural lands causes continuous contamination of the terrestrial environment by pharmaceuticals. Five antibiotics (i.e., azithromycin, clarithromycin, erythromycin, sulfamethoxazole, and doxycycline), one analgesic (acetylsalicylic acid) and one beta-blocker (atenolol) in the digested sludge pose acute and short chronic high risks to environment. The highest short chronic risk in the digested sludge-amended soils was determined for azithromycin (RQ: 54.9). To reduce the potential environmental impact of pharmaceuticals, digested sludge should be monitored in terms of the pharmaceutical contents before being applied to soil.

Modeling and gPROMS based simulation of adsorption process for the removal of Cu (II) from aqueous wastewater

The present work studies the performance of Indion 730 (Strong acid) ion exchange resin for the removal of Cu (II). The modeling and gPROMS based simulation is used to study the sorption capacity, equilibrium, and performances of Indion 730 ion exchange resin. The extraction effectiveness of the resin is studied by using breakthrough curves. The experimental and simulation results were compared. A numerical model is proposed for the investigation of the ion exchange phenomenon using gPROMS using various optimized parameters like flow rate, bed height, and initial concentration of wastewater containing Cu (II) heavy metal ion in the column. For instance, the effects of flow rate, bed height, and inlet concentration of heavy metal on a breakthrough curve are investigated in depth. The results illustrate that the predicted theoretical breakthrough curves show analogous patterns with the corresponding investigational output with a discrepancy of the equilibrium time. The predictions of the model will help to discover the optimal conditions of operation.

Shrimp cracker industrial wastewater treatment with aerobic biological properties utilizing modified Contact-Stabilization method

The prawn cracker industry is one of the most common types of food industry in Indonesia. The existence of this industry has a positive impact in maintaining and improving the Indonesian economy, but it can also have a negative impact on the environment in particular, because this industry produces wastewater which can have a negative impact on the aquatic environment if the wastewater is directly discharged into the river. Based on the results of the analysis of the quality of wastewater from one of the shrimp cracker industries, it is known that wastewater contains Chemical Oxygen Demand (COD) which is 3446 mg/L, Biological Oxygen Demand (BOD) 1118.9 mg/L and acidity (pH) 5.88 – 6.13. Referring to the wastewater quality standards for the shrimp cracker industry, namely COD: 120 mg/L, BOD: 50 mg/L, and acidity pH: 6-9, the shrimp cracker industrial wastewater must be treated first before being channeled into the body. river receiving water. In this study, the treatment process used is an aerobic biological process with a modified contact-stabilization method. This method is the development of the contact-stabilization method, where in this modified method the wastewater from the treatment is recycled to the stabilization tank and together with the bacteria is transferred to the contact tank. Variations carried out in this study are the incoming wastewater flow rate (liters/hour): 4,5 ; 5.5; 6.5 ; 7.5 and 8.5 and flow rate of recycled water from treatment to stabilization tank (%) : 10 ; 20 ; 30 of the incoming wastewater flow rate. The best results were obtained at the wastewater flow rate of 5.5 liters/hour and the recycled water flow rate from the treatment to the stabilization tank 20% with a decrease in the COD value of 97.3% and BOD of 98.4% and the pH of the treated water 6.9.©2021 JNSMR UIN Walisongo. All rights reserved.

Long-term operating conditions for different sorption materials to capture phosphate from domestic wastewater

This paper presents the results of a study on the possibility of applying various configured filters filled with a mixture of Rockfos® and Leca® material for the effective capture of phosphate from domestic wastewater. The tests were carried out for two years at two wastewater flow rates (20 and 40 L/day) in three pairs of filtration columns with a volume of filter material equal to 20 L each. Columns 1A and 1B were filled only with Rockfos®. Columns 2A and 2B contained Rockfos® and two 5-cm layers of Leca®. Columns 3A and 3B were filled with Rockfos® and a 10% addition of Leca®. A high phosphate removal efficiency was obtained at a level of 93.2–94.9% for all columns tested at a flow rate of 20 L/day with a retention time of 12 h. After 250 days of the experiment, the efficiency of phosphate removal decreased significantly, which was associated with a drop in the temperature of the inflowing wastewater (<10 °C). The alkaline characteristic (11–12 pH) of the filter material promoted the removal of phosphate from the wastewater. The pH value of the treated wastewater gradually decreased from pH 12 on the first days of an experiment to pH below 9.0 after about 300 days of operation. Studies showed that Rockfos® material can be used successfully to capture phosphate from wastewater for the sustainable development of rural areas in the circular economy. When designing and building phosphate removal filters, it is recommended to use 1 m3 Rockfos® with the addition of Leca® in 1 m3/day of wastewater inflow.

Dissolved oxygen determination in sewers using flow hydraulic parameters as part of a physical-biological simulation model

Abstract This paper aims to develop a model for calculating the hydraulic and water quality parameters of wastewater within sewers. Information from the wastewater collection network and the transmission line in Birjand were used to verify the model performance. The parameters used for modelling quality changes include the yield constant for biomass (YH), the maximum specific growth rate (μH), the saturation constant for dissolved oxygen (KOG) and the saturation constant for readily biodegradable substrate within a biofilm (KSF), as well as the Gauckler–Manning–Strickler coefficient (n). They were selected from references and were verified at the calibration stage comparing measurements with the modelling values. Inputs of the created model are the average concentrations of dissolved oxygen and chemical oxygen demand of the incoming wastewater, the flow rate of wastewater at the exit point of the network, physical characteristics of the pipes and the height of drops within the sewer network. The amount of dissolved oxygen at different positions of the sewer network was calculated. The acceptable calculated sum of squares of errors and the correlation coefficient (R2) of the calibrated model for dissolved oxygen were 1.6872 and 0.77, respectively.

Minimizing greenhouse gas emissions of an industrial wastewater treatment plant in terms of water\u2013energy nexus

In this paper, (CO2) and methane (CH4) emissions of an industrial wastewater treatment plant were monitored. GHG emissions originated from treatment processes were considered as the direct emissions and determined using closed chamber method. GHG emission due to energy consumption was regarded as the indirect emissions. In the second stage of the study, it was aimed to reduce GHG emissions in terms of water–energy nexus. If the plant is operated under design conditions, energy consumption would be lower according to water–energy nexus. Also, the effect of design conditions on GHG emissions was investigated. Firstly, the correlation was defined between GHG emissions and operational parameters in terms of chemical oxygen demand (COD) and wastewater flow rate using Monte Carlo simulation. Then, design COD and wastewater flow rate were simulated to determine the possible GHG emission for each month. The simulation results show that minimization of GHG emissions might be possible if wastewater plant is operated under design conditions. The minimum greenhouse gas emission in the result of the simulation study is 8.25 kg CO2-eq/d if the plant is operated under design COD and flow rate. Total reduction in GHG emissions is approximately 30% if the plant is operated under design conditions.

Numerical Investigation on the Evaporation Performance of Desulfurization Wastewater in a Spray Drying Tower without Deflectors

The desulfurization wastewater evaporation technology with flue gas has been widely applied to dispose of desulfurization wastewater. This paper investigates the effect of flue gas flow rate and temperature, wastewater flow rate and initial temperature, and droplet size on the evaporation performance of the desulfurization wastewater in a spray drying tower without deflectors. The results show that the flue gas flow rate and temperature affect the evaporation performance of desulfurization wastewater. The larger flow rate and higher temperature of flue gas correspond to the faster evaporation speed and the shorter complete evaporation distance of the wastewater droplet. Decreasing the flow rate and increasing the initial temperature of the desulfurization wastewater is advantageous to enhance the evaporation speed and shorten the complete evaporation distance of the wastewater droplet. Reducing the droplet size is beneficial to improve the evaporation performance of the desulfurization wastewater. The orthogonal test results show that the factors affecting droplet evaporation performance are ranked as follows: flue gas flow rate &gt; wastewater flow rate &gt; flue gas temperature &gt; wastewater initial temperature &gt; droplet size. Considering the evaporation ratio and the complete evaporation distance, the optimal setting is 14.470 kg/s for flue gas flow rate, 385 °C for flue gas temperature, 0.582 kg/s for wastewater flow rate, 25 °C for wastewater initial temperature, and 60 μm for droplet size. These studied results can provide valuable information to improve the operational performance of the desulfurization wastewater evaporation technology with flue gas.

Batik wastewater treatment by the hydrodynamic cavitation and Ozonation with coagulation-flocculation pretreatment

Wastewater discharged by Batik’s industry still contains a high concentration of dyes and pollutants, thus can contaminate the water’s ecosystem. Because of that, in this study, Batik wastewater was treated by the hydrodynamic cavitation, ozonation, and combination of those two. By using PAC, a coagulation-flocculation-based pretreatment technic was conducted first to increase the effectiveness of the main wastewater treatment process. Then, variations in flow rate (2 L/min, 4 L/min, and 6 L/min) and initial pH of wastewater (4, 7, and 10) were evaluated to analyze its effect on the pH changing and the degradation of TSS, COD, color (Pt-Co), and TOC. The best result obtained from this research was by the application of the combination technic, which can eliminate 95.19%; 78.85%; 96.42%; and 60.56% of TSS, COD, color (Pt-Co), and TOC, respectively after 60 minutes treatment.

Determination of peaking factors for sewerage system in Antalya, tourism capital of Turkey

The design of wastewater system pipe size is traditionally based on the maximum wastewater flow that is a function of multiple factors. Understanding the appropriate peaking factors (PF) by using daily flow variations through wastewater collection systems (WWCS) is essential for cost-effective design. This paper describes the maximum and minimum PFs by using wastewater flow data of four separate residential areas such as Lara, Belek-1, Kemer, and Hurma in Antalya, which is the tourism capital of Turkey. The study involves the analysis of wastewater data recorded at daily interval for two different time periods (2006-2009 and 2016-2019) in Antalya. There is a comprehensive investigation regarding PFs that involves sustained peaking flow and percentiles. Therefore, a new empirical equation was proposed by using wastewater flowrate for the estimation of the maximum daily peaking factor. When the daily PFs are determined in the range of 1.31-1.52, 1.60-2.58, 2.26-3.29, and 1.93-2.29 for Lara, Belek-1, Kemer, and Hurma wastewater treatment plants (WWTPs) for 2016-2019 time period, they are in the range of 2.19-2.93 and 1.95-3.31 for Lara and Hurma WWTPs for the time period of 2006-2009, respectively. In brief, this study presents a comprehensive calculation of PFs with a determination of their sustained flow analysis with different durations and percentiles. PRACTITIONER POINTS: This study presents the findings regarding peaking factors and its statistical analysis for different time periods. Statistical analysis included sustained flow, and the percentile of peaking factors was applied to waste water flow data for touristic city of Antalya. The new formula of was determined by using more touristic areas of Antalya within the scope of estimation of the daily peaking factor for dry weather flow by using average daily wastewater flowrate data with the determination coefficient of 0.95.

Assessment of odour emissions by the use of a dispersion model in the context of the proposed new law in Chile

Chile is looking to define a regulatory framework for the odour emissions of various critical industrial activities. One of these is the sanitary sector, with 300 wastewater treatment plants (WWTP). The basis currently used by the Chilean environmental authority to assess odours is the set of odour emission factors (OEF) taken from the Dutch standard. The aim of this study was to compare these, used as a national reference, with our own OEF calculated from measurements using dynamic olfactometry of 41 WWTP. The dependence of OEF on operational variables such as flow rate and BOD5 was analysed in different plant processes. The current regulations were assessed under the two OEF scenarios for the 95th, 98th and 99.9th percentiles in the Temuco WWTP, using the WRF-CALPUFF modelling protocol. The OEF values of the emission sources showed no strong correlation with operating variables like BOD5 and wastewater flow rates in all plant sections. Our OEF values based on real measurements presented significant differences from the Dutch reference OEF, of the order of 6 UOe/m2/s. The odour emitting-units with the largest differences were the pre-treatment units, flow-splitting chamber and most units of the sludge processing sections. These new OEF offer an alternative paradigm for measuring emissions and an incentive to more accurate calculation of the emissions in critical units such as sludge treatment lines. When the WWTP studied in Temuco was assessed using the OEF calculated in this study, a difference of 1041 OUe/s was found above the odours emissions calculated using the Dutch reference database. Using the Dutch OEF, the odour immission concentrations at nearby receptors were not exceeded for the 95th and 98th percentiles; this might result in deficient environmental assessment under current Chilean laws. We therefore recommend that Chilean institutions should assess projects using the OEF calculated in this study.

Advanced Phosphorus Recovery from Municipal Wastewater using Anoxic/Aerobic Membrane Bioreactors and Magnesium Carbonate-Based Pellets.

Effective recovery of phosphorus from municipal wastewater could be one of the best practical alternatives to protect aquatic environments from eutrophication and save natural phosphorus resources. This paper focuses on validating magnesium carbonate (MgCO3)-based pellets combined with a bench-scale anoxic/aerobic membrane bioreactor (MBR) system for advanced phosphorus recovery from municipal wastewater. As the flow rate of wastewater into the MgCO3 column decreased from 10 L/d to 2.5 L/d, the phosphorus recovery rate of the MgCO3-based pellets increased from 54.3 to 93.5%. However, the column's severe clogging was found after a 13-days operation due to the high removal of total suspended solids (TSS) (~82%) through the MgCO3 column. The anoxic/aerobic MBR introduction provided efficient removal of TSS, organic matter, and ammonia nitrogen before the MgCO3 column. The combination of MBR with the MgCO3 column achieved 73.1% phosphorus recovery from municipal wastewater without physical clogging. The P recovery capacity of the MgCO3-based pellets was maintained at 0.47 mg ortho-P/g MgCO3-based pellet during the continuous operation. Physical and chemical properties of MgCO3-based pellets before and after the experiment were characterized using scanning electron microscopy (SEM) with energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) surface area analyzer.