Development of low-cost and reliable reactors demanding minimal supervision is a need-of-the-hour for sewage treatment in rural areas. This study explores the performance of a multi-stage sponge-filled trickling filter (SPTF) for sewage treatment, employing polyethylene (PE) and polyurethane (PU) media. Chemical oxygen demand (COD) and nitrogen transformation were evaluated at hydraulic loading rates (HLRs) ranging from 2 to 6 m/d using synthetic sewage as influent. At influent COD of ∼350 mg/L, PU-SPTF and PE-SPTF achieved a COD removal of 97% across all HLRs with most of the removal occurring in the first segments. Operation of PE-SPTF at an HLR of 6 m/d caused substantial wash-out of biomass, while PU-SPTF retained biomass and achieved effluent COD < 10 mg/L even at HLR of 8–10 m/d. The maximum Total Nitrogen removal by PE-SPTF and PU-SPTF reactors was 93.56 ± 1.36 and 92.24 ± 0.66%, respectively, at an HLR of 6 m/d. Simultaneous removal of ammonia and nitrate was observed at all the HLRs in the first segment of both SPTFs indicating ANAMMOX activity. COD removal data, media depth, and HLRs were fitted (R2 > 0.99) to a first-order kinetic relationship. For a comparable COD removal, CO2 emission by PU-SPTF was 3.5% of that of an activated sludge system.

  • A sponge-filled trickling filter (SPTF) system with random packing of sponge media is examined for sewage treatment.

  • COD removal of 97% was achieved in both PE-SPTF and PU-SPTF at an HLR of 6 m/d and feed COD 350 mg/L.

  • Total nitrogen removal was 93 and 92% by PE-SPTF and PU-SPTF reactors, respectively.

  • Energy consumption in SPTF is ∼25 times lower than that in a conventional activated sludge process.

India being a country with the highest human population in the world generates a huge flow of domestic sewage. This voluminous sewage output poses two main challenges to administrative bodies: (1) providing sewerage system and centralized sewage treatment infrastructure and (2) operating sewage treatment facilities to achieve disposal norms. As reported by the Central Pollution Control Board (CPCB), the estimated daily sewage generation in India amounts to a staggering 72.368 × 106 m3/d while the operational sewage treatment capacity stands at 26.869 × 106 m3/d, accounting for merely 37% of the total sewage generation in India (CPCB 2021). One of the main reasons for this conspicuous disparity is the absence of economically viable infrastructure to convey sewage from individual houses to treatment plants. Furthermore, the sewage treatment plants in urban areas are already grappling with spatial constraints, limiting their capacity expansion prospect (Katam et al. 2021). Rural areas are not only challenged by the lack of sewage collection and treatment infrastructure but also by the scarcity of skilled personnel to operate treatment facilities. As a result, unrestrained disposal of untreated sewage causes air, soil, rivers, lakes, and groundwater degradation (Singh et al. 2012; Wear et al. 2021).

The challenges posed by sewage overload can be mitigated through the adoption of decentralized wastewater treatment (DWT) approaches. A spectrum of decentralized technologies has been employed for wastewater treatment, encompassing constructed wetland systems, septic tanks, vermifiltration, etc. However, drawbacks exist for each technology. The integrated constructed wetland system, studied by Behrends et al. (2007), demonstrated good chemical oxygen demand (COD) destruction (80–87%) and ammoniacal nitrogen removal (95%). However, key limitations of constructed wetland systems include a large space requirement, longer hydraulic retention time (HRT), lengthy maturity period, limited oxygen availability, and clogging due to recalcitrated sludge (Makopondo et al. 2020). Sabry (2010) reported DWT using upflow septic tanks/baffled reactors (USBRs) with a notable COD removal of 87% after 1 year of operation. USBR systems involve multiple components, such as baffles, plates, electrical controllers, and biogas escaping lines, and their fully efficient performance requires an extended operational period (Santiago-Díaz et al. 2019). Vermifiltration studied by Sinha et al. (2008) achieved 98% BOD5 removal. Nonetheless, vermifiltration being a surface area-based technology, higher hydraulic loading rates (HLRs) can reduce HRT and subsequently impact system performance. Moreover, earthworms are very sensitive to higher hydraulic loads and/or adverse environmental conditions (Dey Chowdhury et al. 2022). Besides the above technologies, conventional suspended growth (e.g. activated sludge process (ASP)) and attached growth (e.g. trickling filter (TF)) processes offer excellent sewage treatment efficiency. However, the use of ASPs in rural areas is not feasible due to the need for skilled operators and high-energy consumption. On the other hand, attached growth processes are reported to offer superior treatment efficiencies, operational flexibility, microbial density, and lower biomass production and operational expenditure (Abyar & Nowrouzi 2023). Moreover, attached growth systems such as TFs are reported to remove emerging pollutants from domestic wastewater (Jong et al. 2018; Shukla & Ahammad 2023) and perform nitrification to transform ammonia into nitrate (Forbis-Stokes et al. 2018). Thus, a TF may be explored as an ideal DWT system that is of low-cost and easy to install and operate. However, a conventional TF packed with stones requires a strong structure. Furthermore, the stone medium provides a smaller surface area for the immobilization of microbes, leading to poor treatment efficiency. Although plastic media with a high surface area are commercially available, they are primarily manufactured by some select companies, making them costly. Recently, polyurethane (PU) sponge pieces of different shapes have gained the attraction of researchers as low-cost biomass carriers owing to their lightweight and high surface area and porosity. Various versions of downflow hanging sponge (DHS) reactors have been reported for sewage treatment to achieve >90% BOD and COD removal (Machdar et al. 2000; Tandukar et al. 2006; Ismail et al. 2020; Dacewicz & Grzybowska-Pietras 2021). However, DHS reactors involve hanging sponge pieces of different shapes through a string or a curtain (Machdar et al. 2000; Tandukar et al. 2007). Another version of DHS reactor employed randomly packed sponge pieces with each sponge piece covered by a polypropylene plastic net. Yet another DHS reactor used solid cubes made by copolymerization of PU with epoxy resin (Onodera et al. 2014; Nomoto et al. 2018). Modifications such as hanging the sponge media or covering the sponge media with a plastic net require skillful supervision and specialized manufacturing tools, which also limits its application in rural areas and increases the cost of TF systems.

Hence, this study is conducted to systematically investigate the potential of a TF system consisting of randomly packed sponge cubes as a standalone sewage treatment unit. Two types of sponge cubes, namely polyethylene (PE) and PU, were used as the packing media. Removal of COD and total nitrogen (TN) was investigated along the vertical segments of TF systems operated under varied HLRs. Also, COD removals achieved at various HLRs were fed to a simple first-order kinetic model to derive the kinetic parameters that can be used to design field-scale sponge-filled trickling filter (SPTF) systems.

Reactor configuration

A schematic diagram of the experimental SPTFs is shown in Figure 1. Each SPTF was composed of four identical, vertically aligned cylindrical segments. Each segment was 350 mm in height and 100 mm in diameter, separated by a 100 mm spacing. These separation spaces facilitate the ingress of atmospheric air into the reactor making it a self-ventilated system. It is imperative to note that the packing media within each segment were randomly filled to a height of 300 mm, and at the bottom, the media were supported by an iron grid having 6–8 mm2 openings.
Figure 1

Schematic diagram of SPTF system and packing media dimensions.

Figure 1

Schematic diagram of SPTF system and packing media dimensions.

Close modal

A common feed tank was employed to supply sewage to both reactors. The sewage was introduced into the system through a single-point inlet pipe, positioned at the center of the uppermost segment of each reactor. To regulate the flow of sewage, peristaltic pumps were utilized. To facilitate the collection of treated effluent, dedicated effluent collection tanks were situated at the base of each reactor. Recirculation of treated sewage was carried out using submersible pumps placed in the effluent collection tanks.

Media material and properties

The performance of SPTFs was examined for two different packing media. One was a semi-rigid expanded PE foam, also known as hit-loan sponge foam, and the other was a soft PU foam. Both PE and PU foams are known to have a remarkable resistance to a range of weather conditions, exhibiting minimal signs of deterioration over time. Both PE and PU foams were uniformly cut into 12 mm square cubes and randomly packed in each segment of SPTFs.

The apparent density of media was determined in a laboratory by considering the ratio of the dry mass to the volume of the cube. The porosity of sponge media was determined by immersing a sponge cube in a known volume of distilled water under a vacuum for 5 h, with a reduced volume of water representing the percentage of porosity after removal of the immersed media (Beas et al. 2015; Dacewicz & Grzybowska-Pietras 2021). The apparent density value for PE and PU was 20 and 32 kg/m3, respectively. The porosities of PE and PU foams were approximately 58.8 ± 0.2 and 95.9 ± 0.4%, respectively.

Synthetic sewage

The thorough examination of SPTF system's performance at different HLRs required consistency in the characteristics of raw sewage (Nguyen et al. 2010).

To maintain consistency in the experimental set-up, daily quantities of synthetic sewage were prepared to emulate the composition of real sewage, encompassing organic matter, nutrients, and trace elements. A synthetic sewage solution was prepared by adding 33.7 g sugar, 5 g NH4Cl, 1 g NaCl, 2.6 g NaH2PO4·2H2O, 1.025 g MgSO4·7H2O, 5 g peptone, 1 g CaCl2, and 0.5 g FeCl3 per 100 L of tap water (Rottlers et al. 1999; Nopens et al. 2001; O'Flaherty & Gray 2013). The characteristics of this synthetic sewage were: 375 ± 25 mg/L COD, 14.56 ± 0.62 mg/L ammonia (NH4-N), 11.23 ± 0.55 mg/L nitrate (NO3-N), 5.17 ± 1.25 mg/L PO4-P, and a pH of 7 ± 0.4.

Start-up of the reactors

Activated sludge was collected from a secondary clarifier of an activated sludge plant treating domestic sewage, and diluted with sewage and tap water to the mixed liquor suspended solids (MLSS) concentration of 3,000–3,500 mg/L. First, all the packing media were submerged in the diluted activated sludge and then filled in all segments of the corresponding reactors. To achieve effective immobilization, the diluted activated sludge was continuously recirculated to the uppermost segment of each SPTF system using a submersible pump until the effluent from the bottom-most stage was almost free from turbidity. The initial amounts of biomass immobilized on media in segments 1, 2, 3, and 4 were 10.8, 11.5, 11.2, and 9.6 g-SS/L of media volume in PE-SPTF, and 14.52, 13.48, 14.96, and 11.7 g-suspended solids/L of media volume in PU-SPTF, respectively.

Operational conditions

Both reactors were operated continuously under ambient temperature conditions. To prevent microbial growth, the feed tank and the feed pipeline were cleaned daily using an acidic solution.

HLR, HRT, and organic loading rate (OLR) are important operating parameters for TFs (Arthur et al. 2022). The PE-SPTF and PU-SPTF were operated at HLRs of 2, 3, 4, 5, and 6 m/d. The corresponding overall OLRs were 0.58, 0.88, 1.17, 1.46, and 1.75 kg-COD/m3·d, respectively. At these HLRs, the corresponding overall HRTs were 0.6, 0.4, 0.3, 0.24, and 0.2 d, respectively. Owing to superior performance, the PU media reactor was subjected to further evaluation at two additional HLRs of 8 and 10 m/d.

Sampling and analytical methods

A sample of influent was obtained from the end of the pipeline feeding the raw sewage to the uppermost segment of the reactor. Effluent samples were collected from the bottom of each segment and analyzed for various parameters without filtration.

The pH of the samples was measured using an Analab digital pH meter (India). Analyses of parameters such as COD, ammonia (NH4-N), and nitrate (NO3-N) were performed according to methods 5220 C, 4500-NH3 F, and 4500-NO3 B, respectively, described in Standard Methods for the examination of water and wastewater (APHA 2017).

COD removal in PE-SPTF and PU-SPTF at varying HLRs

The reduction in COD concentration along with the reactor height is shown in Figure 2(a) and 2(b), respectively for the PE- and PU-SPTF systems at different HLRs. The corresponding overall HLRs are also shown in Figure 2.
Figure 2

COD concentration profiles in PE-SPTF and PU-SPTF at varying HLRs and OLRs.

Figure 2

COD concentration profiles in PE-SPTF and PU-SPTF at varying HLRs and OLRs.

Close modal

It may be noted from Figure 2 that both reactors achieved an excellent COD removal of up to 97%. Also, most of the COD removal occurred in the first segment of each SPTF reactor. In the PE-SPTF, as the HLR increased from 2 to 5 m/d, the COD concentrations in the effluent from the first segment increased from 30.5 ± 1.37 to 41.7 ± 2.12 mg/L. In contrast, the PU-SPTF consistently maintained effluent COD concentrations below 35 mg/L after the first segment at the HLRs of 2–5 m/d. However, at an HLR of 6 m/d, COD increased to 50.8 ± 2.28 mg/L after the first segment. On the other hand, in the PE-SPTF first segment effluent COD increased from 41.7 ± 2.12 to 80.74 ± 2.26 mg/L at an HLR of 6 m/d. Nevertheless, the final treated effluent from both reactors consistently recorded COD levels below 10 mg/L across all the examined HLRs, providing a remarkable COD removal efficiency of about 97%.

The consistent COD removal in SPTFs within the HLRs ranging from 2 to 5 m/d can be elucidated by considering the inherent characteristics of the randomly packed reactors. Notably, such reactors lack a defined flow path. At lower hydraulic rates, the influent sewage may not fully cover the entire media volume and surface. Subsequently, as the hydraulic rate is increased, a more uniform distribution of the influent is achieved (Huamán et al. 2022), resulting in greater coverage of the media surface by the applied sewage. Furthermore, the biomass growth within the media can introduce delays and alterations in the flow pathways (Fleifle et al. 2013) leading to better contact opportunities between the biomass and sewage. Thus, the SPTFs could maintain excellent COD removal efficiencies at higher HLRs and OLRs due to the reasons mentioned above.

The results obtained from both PE and PU media reactors demonstrate notable efficient performance in comparison with prior studies. For instance, Mahmoud et al. (2010) investigated a DHS reactor containing PU sponge cubes wrapped in a plastic net. The authors reported the maximum COD removal of 89% from an initial concentration of 302 mg/L under an organic load of 1.2 kg-COD/m3·d. In a study by Murata et al. (2021) employing a PU foam structural bed reactor with intermittent aeration, the maximum COD removal of 94 ± 5% was achieved at an organic load of 0.184 kg-COD/m3·d. Uemura et al. (2012) studied the DHS system with three different media sizes. The applied organic load was 1.27 kg-COD/m3·d on each media and achieved a COD removal ranging from 82 to 85%. These comparisons suggest that SPTFs with unmodified and randomly packed sponge media and receiving significantly higher COD load (overall OLR: 0.58–1.75 kg-COD/m3·d) provide superior COD removal efficiencies as compared with the reactors involving modified and hanging sponge media.

It was observed that a significant amount of biomass was washed out from PE-SPTF and collected in the effluent collection tank when operated at an HLR of 6 m/d. This may be attributed to lower porosity and hence the lower biomass holding capacity of PE media. Hence, PE-SPTF was not subjected to HLRs greater than 6 m/d; however, PU-SPTF was tested further at HLRs of 8 and 10 m/d.

As shown in Figure 3, at HLRs of 8 and 10 m/d, the COD concentrations noted in the effluent of first segment of PU-SPTF were 128 ± 6.48 and 170.6 ± 5.41 mg/L, respectively. Nevertheless, the final treated effluent consistently exhibited COD concentration below 15 mg/L. These results indicate the capacity of PU-SPTF to maintain excellent COD removal efficiency even at a higher OLR and HLR. At the end of 106 d of continuous operation treating about 3,000 L of sewage, the first segment of PU-SPTF was choked due to excessive retention of biomass. Thus, the PU-SPTF system could deliver consistent COD removal for a long period although the sponge media were used without any physical or chemical modifications. After choking, the MLSS concentrations in segments 1–4 were found to be 75.25, 80.92, 64.67, and 41.92 g-SS/L media volume, respectively. As compared with the initial MLSS concentration, the MLSS concentration at the onset of choking increased about four- to six fold.
Figure 3

COD concentration profiles in PU-SPTF reactor at HLRs of 8 and 10 m/d.

Figure 3

COD concentration profiles in PU-SPTF reactor at HLRs of 8 and 10 m/d.

Close modal

Nitrogen transformation in PE-SPTF and PU-SPTF at different HLRs

Figure 4(a) and 4(b) shows the results of NH4-N and NO3-N removal in PE-SPTF and PU-SPTF systems operated at HLRs of 2–6 m/d, respectively. It may be noted from Figure 4 that NH4-N removal occurs predominantly in the first segment as noted in the previous studies (Machdar et al. 2000; Onodera et al. 2014).
Figure 4

Transformation of ammonia nitrogen (NH4-N) and nitrate nitrogen (NO3-N) (a) in PE-SPTF at HLRs 2–6 m/d, (b) in PU-SPTF at HLRs 2–6 m/d, and (c) in PU-SPTF at HLRs 8 and 10 m/d. (S1, S2, S3, and S4 represent the nitrogen concentrations measured in the effluent of segments 1, 2, 3, and 4, respectively.)

Figure 4

Transformation of ammonia nitrogen (NH4-N) and nitrate nitrogen (NO3-N) (a) in PE-SPTF at HLRs 2–6 m/d, (b) in PU-SPTF at HLRs 2–6 m/d, and (c) in PU-SPTF at HLRs 8 and 10 m/d. (S1, S2, S3, and S4 represent the nitrogen concentrations measured in the effluent of segments 1, 2, 3, and 4, respectively.)

Close modal

In the PE-SPTF as shown in Figure 4(a), NH4-N removal ranged from 68 to 79% within the first segment and reached near complete elimination at the end of the fourth segment for HLRs up to 5 m/d. However, at an HLR of 6 m/d, the removal efficiency slightly decreased to 92.52 ± 2.31%. On the other hand, as illustrated in Figure 4(b), NH4-N was completely removed at the end of the second segment and onward in the PU-SPTF, irrespective of the HLR.

A careful observation of Figure 4(a) reveals that for PE-SPTF, for the second segment and onward, the decrease in NH4-N correlates well with the increase in NO3-N concentration for HLRs of 2–5 m/d. A similar observation can also be made for PU-SPTF (Figure 4(b)) at HLRs of 2–5 m/d. This suggests that nitrification is the main mechanism contributing to ammonia removal in segments 2–4. Since most of the organic load is removed in the first segment, the lower segments will remain fully aerated, which is a prerequisite for nitrification (Onodera et al. 2014). However, it is interesting to note that at an HLR of 6 m/d, NO3-N is almost completely removed, and NH4-N is partially (∼50%) removed in the first segment. Specifically, in the first segment of the PE-SPTF, NO3-N removal increased from 47.29 ± 4.24% at an HLR of 2 m/d to 99.74 ± 0.13% at an HLR of 6 m/d. Similarly, in the PU-SPTF, NO3-N removal in the first segment increased from 41.25 ± 2.06% at an HLR of 2 m/d to 96.36 ± 3.01% at an HLR of 6 m/d. The higher HLR will lead to a higher OLR (in this case, ∼7.0 kg-COD/m3·d on the first segment) which may trigger anoxic conditions leading to consumption of NO3-N as an electron acceptor. Nevertheless, the NH4-N concentration would remain unaffected under anoxic conditions. However, the simultaneous removal of NO3-N and NH4-N in the first segment in the current study indicates the possibility of anaerobic oxidation of NH4-N (ANAMMOX) in the presence of NO2-N by the ANAMMOX organisms (Mac Conell et al. 2015). No other plausible explanation exists for the simultaneous and significant removal of NO3-N and NH4-N. It is worth noting that no specific conditions were intentionally maintained or provided in SPTF systems for the simultaneous removal of NO3-N and NH4-N. It may be understood that the first segment receiving the highest organic load will be partially aerobic. Such conditions facilitate the partial oxidation of NH4-N to NO2-N in the first segment (Guo et al. 2010; Wang et al. 2010; Kumar et al. 2016; Bressani-Ribeiro et al. 2018) which in the presence of remaining NH4-N will be oxidized by ANAMMOX organisms to N2. The presence of ANAMMOX organisms in wastewater treatment plants and aerobic, anaerobic, and anoxic sludge is already reported (Ding et al. 2017; Mirza et al. 2021). Since the biomass used for the start-up was collected from a sewage treatment plant, the presence of ANAMMOX organisms in both SPTF systems is plausible. Consistent with the results of NO3-N and NH4-N removal discussed above, the TN (TN = NO3-N + NH4-N) removal increased with an increase in the HLR. The maximum TN removals observed in the PE-SPTF and PU-SPTF were 93.56 ± 1.36 and 92.24 ± 0.66%, respectively, at an HLR of 6 m/d. Since, almost the entire TN removal occurred in the first segments of PE- and PU-SPTFs, we calculated the volumetric TN removal rate based on the volume of media in the first stage. The volumetric TN removal rates in the PE-SPTF at HLRs 2, 3, 4, 5, and 6 m/d were 0.1, 0.16, 0.23, 0.28, and 0.45 kg-TN/m3·d. The corresponding volumetric TN removal rates in the PU-SPTF were 0.11, 0.21, 0.29, 0.38, and 0.37 kg-TN/m3·d. These results reveal that the volumetric TN removal rates in the PU-SPTF at HLRs 2–5 m/d are significantly higher than that in the PE-SPTF. The smaller volumetric TN removal rate in the PU-SPTF at 6 m/d may be attributed to a greater anaerobicity at a higher COD load which will adversely affect oxidation of ammonia to nitrite.

Figure 4(c) illustrates ammonia and nitrate removal in the PU-SPTF at HLRs of 8 and 10 m/d. It is interesting to note that while NO3-N removal in the first segment was >96%, NH4-N removal was negligible. This is opposite to what was observed in the PU-SPTF at HLRs of 2–6 m/d. It was observed that at HLRs of 8 and 10 m/d, the first segment was completely anaerobic, which is evident from the black color of biomass and foul odor. Such conditions favor the removal of NO3-N by denitrification. On the other hand, the presence of fully anaerobic conditions will not allow nitrification of NH4-N, resulting in a negligible removal of NH4-N. However, in the lower segments (segments 3 and 4) where aerobic conditions prevail, NH4-N is oxidized almost stoichiometrically to NO3-N resulting in effluent nitrate concentrations of 10–12 mg-N/L. Based on the above discussion, a pictorial presentation of the predominance of ANAMMOX, nitrification, and denitrification activities in segments of the PU-SPTF at different HLRs is shown in Figure 5.
Figure 5

Nitrogen transformation activities in segments of PU-SPTF at different HLRs.

Figure 5

Nitrogen transformation activities in segments of PU-SPTF at different HLRs.

Close modal

In the previous studies employing TFs containing hanging or covered sponge media, NH4-N removal was found to be adversely affected due to the increase in organic load (Tawfik et al. 2011; Nomoto et al. 2018; Ismail et al. 2020; Murata et al. 2021). In contrast to these observations, the data from our study reveal that NH4-N removal increased with the increase in the OLR from 0.58 to 1.46 kg-COD/m3·d (HLR: 2–5 m/d), mainly due to ANAMMOX activity in the first segments of both the reactors. The residual NH4-N in the effluent of the first segments was removed by nitrification in the subsequent segments of both reactors. Thus, the NH4-N removal in PE- and PU-SPTFs was unaffected by organic loading. As explained in the above paragraphs and shown in Figure 5, more than one mechanism of NH4-N and TN removal is possible in PE- and PU-SPTF systems containing randomly packed unmodified sponge media, leading to a greater removal of TN.

The TN removal obtained in our study is comparable to or better than that reported in the published literature. Murata et al. (2021) found the highest TN removal of 74 ± 7% in a PU foam structural bed reactor with periodic mechanical aeration (Murata et al. 2021). Using a third-generation DHS reactor, Mahmoud et al. (2010) reported 72, 90, and 99% removal of ammonia at different HRTs of 2, 4, and 6 h, respectively. The authors also noted that out of the above removals, about 41, 31, and 19% of the initial ammonia remained unaccounted, i.e. could not be related to the generation of nitrate, indicating ammonia removal by the ANAMMOX process. Using TFs with rigid sponge media, Onodera et al. noted 30 and 28% TN removal (Onodera et al. 2013, 2014). Bundy et al. (2017) used a partially submerged DHS reactor operated at an OLR of 0.4 kg-COD/m3·d, HRT of 0.6 d, and influent TN concentration of 42 mg/L, and reported 78% TN removal. A detailed comparison of COD and TN removal obtained in this study with the published reports is given in Table 1.

Table 1

Detailed comparison of COD and TN removal obtained in the SPTF with the published reports

Sl no.Media typeSewage typeCOD influent, mg/LCOD effluent, mg/LOrganic loading, kg-COD/ m3·d%COD reductionNH4-N influent, mg/LNH4-N effluent, mg/LNO3-N influent, mg/LNO3-N effluent, mg/L%TN removalReference
DHS-PU – covered by plastic net Gray water 878 ± 260 53 ± 17 6.8 94 ± 3 14 ± 6 10 ± 5 – 1.7 ± 1.2 13 ± 7 Tawfik et al. (2011)  
DHS – sixth generation UASB treated 169 ± 80 48 ± 19 2.03 68 ± 17 25 ± 6 4 ± 3 N.D. 17.3 ± 4.9 28 ± 20 Onodera et al. (2014)  
Cylindrical PU foam Raw sewage 464 ± 121 45 ± 24 1.38 90 ± 5 37 ± 10a 4.7 ± 5.1a – 2.5 ± 2.2 69 ± 15 Moura et al. (2018)  
DHS-PU – adhering on rectangular sheet UASB treated 167 ± 62 60 ± 28 2.03 64 40 ± 7 12 ± 7 – 17 ± 4 27 Tandukar et al. (2006)  
DHS-PU – wrapped with perforated plastic Pre-settled sewage 300 ± 37 60 ± 12 1.8 80 ± 4 25 ± 4 2.5 ± 2 – 13.9 ± 2.3 13 Mahmoud et al. (2010)  
PU with inoculated microalgae Primary effluent 210 ± 46 30 ± 3 0.42 86 50 ± 11b 17 ± 0.5b   62 Katam et al. (2021)  
DHS-PU – covered by plastic net UASB treated 355 ± 67 97 ± 20 7.89 71 ± 11 42 ± 2 30.2 ± 2.1 – – – Nomoto et al. (2018)  
PU – vertically fixed inside the reactor Pre-settled sewage 451 ± 75 58 ± 18 0.46 87 35 ± 8a 19 ± 7a – 1 ± 3 43 Murata et al. (2021)  
DHS-PU – in cylindrical plastic net Screened sewage 152 14 2.01 91 21.2 N.D. N.D. 15.2 28 Miyaoka et al. (2017)  
10 Rubber Raw sewage 1,016 ± 29 69 ± 16 0.85 93 N.R. N.R. N.R. N.R. N.R. Naz et al. (2015)  
Polystyrene 360 ± 32 38 ± 14 0.30 89 N.R. N.R. N.R. N.R. N.R. 
Plastic  1,351 ± 117 69 ± 23 1.13 95 N.R. N.R. N.R. N.R. N.R. 
Stone 821 ± 23 32 ± 17 0.68 96 N.R. N.R. N.R. N.R.  N.R. 
11 Sponge Effluent of anaerobic membrane bioreactor 129 ± 65 48 ± 21 1.29 63 26.5 ± 5 4.0 ± 3.5 0.9 ± 1 18.6 ± 7.3 32 Zhang et al. (2016)  
Zeolite 70 ± 43 46 9.2 ± 4.4 17.8 ± 7.9 35 
Ceramsite 62 ± 41 52 9.6 ± 5.4 15.5 ± 7.1 43 
12 PE-SPTF Synthetic sewage 364 ± 6 10 ± 0.2 1.8 97 ± 0.2 15 ± 1 1.1 ± 0.31 12 ± 1.3 0.6 ± 0.1 94 This study 
PU-–SPTF 362 ± 4 8 ± 0.15 1.8 98 ± 0.7 15 ± 2 N.D. 11.5 ± 0.5 1.9 ± 0.7 93 
Sl no.Media typeSewage typeCOD influent, mg/LCOD effluent, mg/LOrganic loading, kg-COD/ m3·d%COD reductionNH4-N influent, mg/LNH4-N effluent, mg/LNO3-N influent, mg/LNO3-N effluent, mg/L%TN removalReference
DHS-PU – covered by plastic net Gray water 878 ± 260 53 ± 17 6.8 94 ± 3 14 ± 6 10 ± 5 – 1.7 ± 1.2 13 ± 7 Tawfik et al. (2011)  
DHS – sixth generation UASB treated 169 ± 80 48 ± 19 2.03 68 ± 17 25 ± 6 4 ± 3 N.D. 17.3 ± 4.9 28 ± 20 Onodera et al. (2014)  
Cylindrical PU foam Raw sewage 464 ± 121 45 ± 24 1.38 90 ± 5 37 ± 10a 4.7 ± 5.1a – 2.5 ± 2.2 69 ± 15 Moura et al. (2018)  
DHS-PU – adhering on rectangular sheet UASB treated 167 ± 62 60 ± 28 2.03 64 40 ± 7 12 ± 7 – 17 ± 4 27 Tandukar et al. (2006)  
DHS-PU – wrapped with perforated plastic Pre-settled sewage 300 ± 37 60 ± 12 1.8 80 ± 4 25 ± 4 2.5 ± 2 – 13.9 ± 2.3 13 Mahmoud et al. (2010)  
PU with inoculated microalgae Primary effluent 210 ± 46 30 ± 3 0.42 86 50 ± 11b 17 ± 0.5b   62 Katam et al. (2021)  
DHS-PU – covered by plastic net UASB treated 355 ± 67 97 ± 20 7.89 71 ± 11 42 ± 2 30.2 ± 2.1 – – – Nomoto et al. (2018)  
PU – vertically fixed inside the reactor Pre-settled sewage 451 ± 75 58 ± 18 0.46 87 35 ± 8a 19 ± 7a – 1 ± 3 43 Murata et al. (2021)  
DHS-PU – in cylindrical plastic net Screened sewage 152 14 2.01 91 21.2 N.D. N.D. 15.2 28 Miyaoka et al. (2017)  
10 Rubber Raw sewage 1,016 ± 29 69 ± 16 0.85 93 N.R. N.R. N.R. N.R. N.R. Naz et al. (2015)  
Polystyrene 360 ± 32 38 ± 14 0.30 89 N.R. N.R. N.R. N.R. N.R. 
Plastic  1,351 ± 117 69 ± 23 1.13 95 N.R. N.R. N.R. N.R. N.R. 
Stone 821 ± 23 32 ± 17 0.68 96 N.R. N.R. N.R. N.R.  N.R. 
11 Sponge Effluent of anaerobic membrane bioreactor 129 ± 65 48 ± 21 1.29 63 26.5 ± 5 4.0 ± 3.5 0.9 ± 1 18.6 ± 7.3 32 Zhang et al. (2016)  
Zeolite 70 ± 43 46 9.2 ± 4.4 17.8 ± 7.9 35 
Ceramsite 62 ± 41 52 9.6 ± 5.4 15.5 ± 7.1 43 
12 PE-SPTF Synthetic sewage 364 ± 6 10 ± 0.2 1.8 97 ± 0.2 15 ± 1 1.1 ± 0.31 12 ± 1.3 0.6 ± 0.1 94 This study 
PU-–SPTF 362 ± 4 8 ± 0.15 1.8 98 ± 0.7 15 ± 2 N.D. 11.5 ± 0.5 1.9 ± 0.7 93 

N.D. = not detected, N.R. = not reported, TN = total nitrogen concentration.

aTKN-nitrogen concentration.

bTotal nitrogen concentration.

Kinetics of COD degradation in PE- and PU-SPTFs

A kinetic model for COD degradation would help predict the performance of the reactor and design a reactor for different organic and hydraulic parameters. Removal of organic matter by biodegradation normally follows the first-order kinetics (Metcalf et al. 2014). Fleifle et al. (2013) reported that the substrate utilization in a DHS system followed the first-order reaction kinetics. Similarly, Nomoto et al. (2018) observed that the first segment of a DHS exhibited first-order COD removal and the remaining segments exhibited a linear rate of substrate degradation. The first-order BOD removal rate with respect to the depth of the packed bed () in TFs with plastic packing has been related to the HLR and the HRT (Velz 1948; Howland 1958; Schulze 1960). The integrated form of this formulation is delineated below (Metcalf et al. 2014):
(1)
In the above equation, S0 and Se represent the influent and effluent BOD concentrations in mg/L, respectively, k denotes the experimentally determined rate constant, D is the depth of the packing media, Q is the hydraulic application rate in m3/m2·d (i.e. HLR), and n is a constant value associated with the characteristics of the packing media. We used Equation (1) with little modification, using COD instead of BOD concentrations to represent Se and S0. The linearized form of Equation (1) is shown as Equation (2). Different values of on the x-axis vs. on the y-axis can be plotted to derive the constants for PE-SPTF and PU-SPTF media.
(2)

Since COD removal in segments other than the first segment was very small, the depth of media in Equation (2) was taken as 0.3 m being the packed depth of the first segment. The value of ‘n’ for randomly packed sponge cubes is not reported in the published literature to the best of our knowledge. Since the values of cannot be calculated without knowing ‘n’, we used various values of ‘n’ to calculate and reported the one that provided the best fit for the plotted data offering the R2 value closest to 1.

As shown in Figure 6, the values of n = 0.35 and 0.5 gave the best fit for the plotted data, and the corresponding ‘k’ values were 11.45 (m/d)0.35/m and 17.06 (m/d)0.5/m for PE-SPTF and PU-SPTF reactors, respectively. The corresponding ‘k’ values normalized to 20 °C were 8.7 (m/d)0.35/m and 12.96 (m/d)0.5/m for PE-SPTF and PU-SPTF reactors, respectively. It may be noted that ‘k’ is a measure of substrate degradability or ‘removability’ in a given reactor system, and hence, a higher ‘k’ value indicates a greater removal efficiency. On the other hand, ‘n’ indicates the suitability of the packing media (Fleifle et al. 2013). The notably higher ‘k’ and ‘n’ values observed for the PU-SPTF than for the PE-SPTF may be attributed to the greater porosity of the PU sponge media, which allows for enhanced biomass accumulation and thereby superior biodegradation. We conducted some experiments at HLRs other than those used for the development of plots shown in Figure 6 to validate the substrate removal model (Equation (1)). At the end of the first segment, the actual effluent COD concentrations and COD concentrations predicted using Equation (1) substituted with ‘k’ and ‘n’ values determined as above were closely matching with R2 > 0.97 for both the reactors. This suggests the robustness of the first-order COD removal model and kinetic parameters derived in this study.
Figure 6

Plots of vs. for first segment of (a) PE and (b) PU media reactors.

Figure 6

Plots of vs. for first segment of (a) PE and (b) PU media reactors.

Close modal

Estimation of energy consumption for the operation of SPTF system

The SPTF system operates as a self-aerated system, offering a distinct advantage in terms of energy consumption when compared with a conventional ASP or any other aerobic biological process. In case of the SPTF system, power is primarily consumed for the pumping of sewage and recirculation of effluent (if any) to the top of the reactor, whereas the ASP system requires power for the aeration system and recirculation of biomass. A comparison was made between the power consumption of the SPTF system and the ASP for the identical COD removal performance. The influent COD concentration of 350 mg/L and a sewage flow equivalent to an HLR of 6 m/d were considered for comparison (under these conditions, COD removal in PU-SPTF and PE-SPTF was 97%). Detailed calculations with relevant data are shown in Supplementary material. The power requirements were found to be 0.222 × 10−3 kWh/L for the ASP and 0.0078 × 10−3 kWh/L for the SPTF system. It is worth noting that the additional power consumption for continuous sludge recirculation in the ASP is not considered in the above values. Considering CO2 generation of 0.82 kg/kWh in India (CEA 2022), the CO2 emission contribution by SPTF and ASP will be 6.4 and 182 mg/L of wastewater treated, respectively. These results highlight the extraordinary energy efficiency exhibited by the SPTF system, demanding a mere 3–4% of the energy when compared with a conventional ASP for an identical COD removal efficiency.

  • From initial 350 mg/L COD and ∼27 mg/L TN in raw sewage, both the SPTF systems achieved <2 mg/L of TN and <10 mg/L of COD in the effluent at an HLR of 6 m/d, overall OLR of 1.75 kg-COD/m3·d, and HRT of 0.2 d, thereby conforming to the prevailing sewage disposal standards in India.

  • The simultaneous removal of and NH4-N in the first segment of PE-SPTF and PU-SPTF suggested a significant ANAMMOX activity. The TN removal rate in the first segments of PE- and PU-SPTFs increased with the increase in the HLR and OLR.

  • As compared with the PE-SPTF, the PU-SPTF consistently achieved superior COD and TN removal. Based on the kinetic parameters, the equations for COD removal in first segment, related to the HLR were: and for PE-SPTF and PU-SPTF reactors, respectively. These equations were validated with the predicted COD removal correlating with the actual COD removal with R2 > 0.97.

  • Under similar conditions, as compared with a conventional aerobic biological treatment system such as the activated sludge system, the energy consumption per liter of sewage treated in the PU-SPTF was almost 25 times less.

  • The SPTF system with randomly packed sponge media emerges as a cost-effective, reliable, and straightforward solution for DWT.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

APHA
2017
In:
Standard Methods for the Examination of Water and Wastewater
, 23rd edn (
Baird
R.
ed.).
American Public Health Association
,
Washington, D.C.
Arthur
P. M.
,
Konaté
Y.
,
Sawadogo
B.
,
Sagoe
G.
,
Dwumfour-Asare
B.
,
Ahmed
I.
&
Williams
M. N.
2022
Performance evaluation of a full-scale upflow anaerobic sludge blanket reactor coupled with trickling filters for municipal wastewater treatment in a developing country
.
Heliyon
8
(
8
),
e10129
.
https://doi.org/10.1016/j.heliyon.2022.e10129
.
Beas
R. E. Y.
,
Kujawa-Roeleveld
K.
,
Zeeman
G.
&
van Lier
J. B.
2015
A downflow hanging sponge (DHS) reactor for faecal coliform removal from an upflow anaerobic sludge blanket (UASB) effluent
.
Water Science and Technology
72
(
11
),
2034
2044
.
https://doi.org/10.2166/wst.2015.427
.
Behrends
L. L.
,
Bailey
E.
,
Jansen
P.
,
Houke
L.
&
Smith
S.
2007
Integrated constructed wetland systems: Design, operation, and performance of low-cost decentralized wastewater treatment systems
.
Water Science and Technology
55
(
7
),
155
161
.
https://doi.org/10.2166/wst.2007.140
.
Bressani-Ribeiro
T.
,
Almeida
P. G. S.
,
Volcke
E. I. P.
&
Chernicharo
C. A. L.
2018
Trickling filters following anaerobic sewage treatment: State of the art and perspectives
.
Environmental Science: Water Research and Technology
4
(
11
),
1721
1738
.
https://doi.org/10.1039/c8ew00330k
.
Bundy
C. A.
,
Wu
D.
,
Jong
M. C.
,
Edwards
S. R.
,
Ahammad
Z. S.
&
Graham
D. W.
2017
Enhanced denitrification in Downflow Hanging Sponge reactors for decentralised domestic wastewater treatment. Bioresource Technology 226, 1–8
.
CEA
2022
Baseline Database for the Indian Power Sector
.
CPCB
2021
National Inventory of Sewage Treatment Plants, Central Pollution Control Board, Parivesh Bhawan East Arjun Nagar, New Delhi
,
March 2021
.
Dacewicz
E.
&
Grzybowska-Pietras
J.
2021
Polyurethane foams for domestic sewage treatment
.
Materials
14
(
4
),
1
19
.
https://doi.org/10.3390/ma14040933
.
Dey Chowdhury
S.
,
Bhunia
P.
&
&
S. R. Y.
2022
Sustainability assessment of vermifiltration technology for treating domestic sewage: A review
.
Journal of Water Process Engineering
50
,
103266
.
https://doi.org/10.1016/j.jwpe.2022.103266
.
Ding
Z.
,
Ventorino
V.
,
Panico
A.
,
Pepe
O.
,
van Hullebusch
E. D.
,
Pirozzi
F.
,
Bourven
I.
,
Guibaud
G.
&
Esposito
G.
2017
Enrichment of ANAMMOX biomass from different seeding sludge: Process strategy and microbial diversity
.
Water, Air, and Soil Pollution
228
(
1
).
https://doi.org/10.1007/s11270-016-3181-8
.
Fleifle
A.
,
Tawfik
A.
,
Saavedra
O.
,
Yoshimura
C.
&
Elzeir
M.
2013
Modeling and profile analysis of a down-flow hanging sponge system treating agricultural drainage water
.
Separation and Purification Technology
116
,
87
94
.
https://doi.org/10.1016/j.seppur.2013.05.025
.
Guo
W.
,
Ngo
H. H.
,
Dharmawan
F.
&
Palmer
C. G.
2010
Roles of polyurethane foam in aerobic moving and fixed bed bioreactors
.
Bioresource Technology
101
(
5
),
1435
1439
.
https://doi.org/10.1016/j.biortech.2009.05.062
.
Howland
W. E.
1958
Flow over porous media as in a trickling filter
. In
Proceedings of the 12th Industrial Waste Conference, Purdue University, Extension Service, 94
, p.
435
.
Huamán
M. M.
,
Rosas
Y. W.
&
Depaz
K. F.
2022
Effect of hydraulic and organic load, in the removal of biochemical oxygen demand in wastewater using biofilter with vegetable carbon, in High Andean climate
.
IOP Conference Series: Earth and Environmental Science
973
(
1
).
https://doi.org/10.1088/1755-1315/973/1/012002
.
Ismail
S.
,
Nasr
M.
,
Abdelrazek
E.
,
Awad
H. M.
,
Zhaof
S.
,
Meng
F.
&
Tawfik
A.
2020
Techno-economic feasibility of energy-saving self-aerated sponge tower combined with up-flow anaerobic sludge blanket reactor for treatment of hazardous landfill leachate
.
Journal of Water Process Engineering
37
.
https://doi.org/10.1016/j.jwpe.2020.101415
.
Jong
M. C.
,
Su
J. Q.
,
Bunce
J. T.
,
Harwood
C. R.
,
Snape
J. R.
,
Zhu
Y. G.
&
Graham
D. W.
2018
Co-optimization of sponge-core bioreactors for removing total nitrogen and antibiotic resistance genes from domestic wastewater
.
Science of the Total Environment
634
,
1417
1423
.
Katam
K.
,
Tiwari
Y.
,
Shimizu
T.
,
Soda
S.
&
Bhattacharyya
D.
2021
Start-up of a trickling photobioreactor for the treatment of domestic wastewater
.
Water Environment Research
93
(
9
),
1690
1699
.
https://doi.org/10.1002/wer.1554
.
Kumar
M.
,
Daverey
A.
,
Gu
J. D.
&
Lin
J. G.
2016
ANAMMOX processes
. In:
Current Developments in Biotechnology and Bioengineering: Biological Treatment of Industrial Effluents
.
Elsevier Inc.
, pp.
387
407
.
https://doi.org/10.1016/B978-0-444-63665-2.00015-1
.
Mac Conell
E. F. A.
,
Almeida
P. G. S.
,
Martins
K. E. L.
,
Araújo
J. C.
&
Chernicharo
C. A. L.
2015
Bacterial community involved in the nitrogen cycle in a down-flow sponge-based trickling filter treating UASB effluent
.
Water Science and Technology
72
(
1
),
116
122
.
https://doi.org/10.2166/wst.2015.154
.
Machdar
I.
,
Sekiguchi
Y.
,
Sumino
H.
,
Ohashi
A.
&
Harada
H.
2000
Combination of a UASB Reactor and a Curtain Type DHS (Downflow Hanging Sponge) Reactor as a Cost-Effective Sewage Treatment System for Developing Countries
.
Mahmoud
M.
,
Tawfik
A.
&
El-Gohary
F.
2010
Simultaneous organic and nutrient removal in a naturally ventilated biotower treating presettled municipal wastewater
.
Journal of Environmental Engineering
.
https://doi.org/10.1061/ASCEEE.1943-7870.0000148
.
Makopondo
R. O. B.
,
Rotich
L. K.
&
Kamau
C. G.
2020
Potential use and challenges of constructed wetlands for wastewater treatment and conservation in Game Lodges and Resorts in Kenya
.
Scientific World Journal
2020
.
https://doi.org/10.1155/2020/9184192
.
Metcalf
L.
,
Eddy
H. P.
&
Tchobanoglous
G.
2014
Wastewater Engineering: Treatment, Disposal, and Reuse
, Vol.
5
.
McGraw-Hill
,
New York
.
Mirza
M. W.
,
D'Silva
T. C.
,
Gani
K. M.
,
Afsar
S. S.
,
Gaur
R. Z.
,
Mutiyar
P. K.
,
Khan
A. A.
,
Diamantis
V.
&
Lew
B.
2021
Cultivation of anaerobic ammonium oxidizing bacteria (AnAOB) using different sewage sludge inoculums: Process performance and microbial community analysis
.
Journal of Chemical Technology and Biotechnology
96
(
2
),
454
464
.
https://doi.org/10.1002/jctb.6560
.
Moura
R. B.
,
Santos
C. E.
,
Okada
D. Y.
,
Martins
T. H.
,
Júnior
A. D. N. F.
,
Damianovic
M. H.
&
Foresti
E.
2018
Carbon-nitrogen removal in a structured-bed reactor (SBRRIA) treating sewage: Operating conditions and metabolic perspectives
.
Journal of environmental management
224
,
19
28
.
https://doi.org/10.1016/j.jenvman.2018.07.014
.
Miyaoka
Y.
,
Yoochatchaval
W.
,
Sumino
H.
,
Banjongproo
P.
,
Yamaguchi
T.
,
Onodera
T.
&
Syutsubo
K.
2017
Evaluation of the process performance of a down-flow hanging sponge reactor for direct treatment of domestic wastewater in Bangkok, Thailand
.
Journal of Environmental Science and Health, Part A
52
(
10
),
956
970
.
Murata
K. d. B.
,
Silva
B. G.
,
Santos
C. E. D. d.
,
Okada
D. Y.
,
Moura
R. B. d.
,
Foresti
E.
&
Damianovic
M. H. R. Z.
2021
Pilot-scale study of a structured bed reactor for nitrogen and organic matter removal from sanitary sewage: Advances and design challenges
.
Research, Society and Development
10
(
13
),
e589101321560
.
https://doi.org/10.33448/rsd-v10i13.21560
.
Naz
I.
,
Saroj
D. P.
,
Mumtaz
S.
,
Ali
N.
&
Ahmed
S.
2015
Assessment of biological trickling filter systems with various packing materials for improved wastewater treatment
.
Environmental Technology
36
(
4
),
424
434
.
https://doi.org/10.1080/09593330.2014.951400
.
Nguyen
T. T.
,
Ngo
H. H.
,
Guo
W.
,
Johnston
A.
&
Listowski
A.
2010
Effects of sponge size and type on the performance of an up-flow sponge bioreactor in primary treated sewage effluent treatment
.
Bioresource Technology
101
(
5
),
1416
1420
.
https://doi.org/10.1016/j.biortech.2009.07.081
.
Nomoto
N.
,
Ali
M.
,
Jayaswal
K.
,
Iguchi
A.
,
Hatamoto
M.
,
Okubo
T.
,
Takahashi
M.
,
Kubota
K.
,
Tagawa
T.
,
Uemura
S.
,
Yamaguchi
T.
&
Harada
H.
2018
Characteristics of DO, organic matter, and ammonium profile for practical-scale DHS reactor under various organic load and temperature conditions
.
Environmental Technology
39
(
7
),
907
916
.
https://doi.org/10.1080/09593330.2017.1316319
.
Nopens
I.
,
Capalozza
C.
&
Vanrolleghem
P. A.
2001
Department of Applied Mathematics, Biometrics and Process Control Stability Analysis of a Synthetic Municipal Wastewater
.
Available from: http://biomath.rug.ac.be.
O'Flaherty
E.
&
Gray
N. F.
2013
A comparative analysis of the characteristics of a range of real and synthetic wastewaters
.
Environmental Science and Pollution Research
20
(
12
),
8813
8830
.
https://doi.org/10.1007/s11356-013-1863-y
.
Onodera
T.
,
Matsunaga
K.
,
Kubota
K.
,
Taniguchi
R.
,
Harada
H.
,
Syutsubo
K.
,
Okubo
T.
,
Uemura
S.
,
Araki
N.
,
Yamada
M.
,
Yamauchi
M.
&
Yamaguchi
T.
2013
Characterization of the retained sludge in a down-flow hanging sponge (DHS) reactor with emphasis on its low excess sludge production
.
Bioresource Technology
136
,
169
175
.
https://doi.org/10.1016/j.biortech.2013.02.096
.
Onodera
T.
,
Tandukar
M.
,
Sugiyana
D.
,
Uemura
S.
,
Ohashi
A.
&
Harada
H.
2014
Development of a sixth-generation down-flow hanging sponge (DHS) reactor using rigid sponge media for post-treatment of UASB treating municipal sewage
.
Bioresource Technology
152
,
93
100
.
https://doi.org/10.1016/j.biortech.2013.10.106
.
Rottlers
A.
,
Schowanek
D.
,
Boeije
G.
&
Corstanje
R.
1999
Adaptation of the CAS test system and synthetic sewage for biological nutrient removal: Part I: Development of a new synthetic sewage
.
Chemosphere
38
(
4
),
699
709
.
https://doi.org/10.1016/S0045-6535(98)00311-7
.
Sabry
T.
2010
Evaluation of decentralized treatment of sewage employing upflow septic tank/baffled reactor (USBR) in developing countries
.
Journal of Hazardous Materials
174
(
1–3
),
500
505
.
https://doi.org/10.1016/j.jhazmat.2009.09.080
.
Santiago-Díaz
Á. L.
,
García-Albortante
J.
&
Salazar-Peláez
M. L.
2019
UASB-septic tank as an alternative for decentralized wastewater treatment in Mexico
.
Environmental Technology
40
(
14
),
1780
1792
.
https://doi.org/10.1080/09593330.2018.1430170
.
Schulze
K. L.
1960
Load and efficiency of trickling filters
.
Journal (Water Pollution Control Federation)
32
(
3
),
245
261
.
Singh
P. K.
,
Deshbhratar
P. B.
&
Ramteke
D. S.
2012
Effects of sewage wastewater irrigation on soil properties, crop yield and environment
.
Agricultural Water Management
103
,
100
104
.
https://doi.org/10.1016/j.agwat.2011.10.022
.
Tandukar
M.
,
Machdar
I.
,
Uemura
S.
,
Ohashi
A.
&
Harada
H.
2006
Potential of a combination of UASB and DHS reactor as a novel sewage treatment system for developing countries: Long-term evaluation
.
Journal of Environmental Engineering
.
https://doi.org/10.1061/ASCE0733-93722006132:2166
.
Tandukar
M.
,
Ohashi
A.
&
Harada
H.
2007
Performance comparison of a pilot-scale UASB and DHS system and activated sludge process for the treatment of municipal wastewater
.
Water Research
41
(
12
),
2697
2705
.
https://doi.org/10.1016/j.watres.2007.02.027
.
Tawfik
A.
,
Wahab
R. A.
,
Al-Asmer
A.
&
Matary
F.
2011
Effect of hydraulic retention time on the performance of down-flow hanging sponge system treating grey wastewater
.
Bioprocess and Biosystems Engineering
34
(
6
),
767
776
.
https://doi.org/10.1007/s00449-011-0528-9
.
Uemura
S.
,
Suzuki
S.
&
Harada
H.
2012
Direct treatment of settled sewage by DHS reactors with different sizes of sponge support media
.
International Journal of Environmental Research
6
(
1
),
25
32
.
Velz
C. J.
1948
A basic law for the performance of biological filters
.
Sewage Works Journal
20
(
4
),
607
617
.
Wang
C. C.
,
Lee
P. H.
,
Kumar
M.
,
Huang
Y. T.
,
Sung
S.
&
Lin
J. G.
2010
Simultaneous partial nitrification, anaerobic ammonium oxidation and denitrification (SNAD) in a full-scale landfill-leachate treatment plant
.
Journal of Hazardous Materials
175
(
1–3
),
622
628
.
https://doi.org/10.1016/j.jhazmat.2009.10.052
.
Wear
S. L.
,
Acuña
V.
,
McDonald
R.
&
Font
C.
2021
Sewage pollution, declining ecosystem health, and cross-sector collaboration
.
Biological Conservation
255
.
https://doi.org/10.1016/j.biocon.2021.109010
.
Zhang
X.
,
Li
J.
,
Yu
Y.
,
Xu
R.
&
Wu
Z.
2016
Biofilm characteristics in natural ventilation trickling filters (NVTFs) for municipal wastewater treatment: Comparison of three kinds of biofilm carriers
.
Biochemical Engineering Journal
106
,
87–96. https://doi.org/10.1016/j.bej.2015.11.009
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).

Supplementary data