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Article

Decentralized Domestic Sewage Treatment Using an Integrated Multi-Soil-Layering and Subsurface Wastewater Infiltration System

1
School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2
Yunnan Dali Research Institute, Shanghai Jiao Tong University, Dali 671000, China
*
Authors to whom correspondence should be addressed.
Water 2021, 13(4), 431; https://doi.org/10.3390/w13040431
Submission received: 24 December 2020 / Revised: 26 January 2021 / Accepted: 2 February 2021 / Published: 7 February 2021
(This article belongs to the Special Issue Microbial Ecology of Wastewater Treatment)

Abstract

:
In this study, an integrated multi-soil-layering and subsurface wastewater infiltration (MSL-SWI) system was developed for decentralized domestic sewage treatment under high hydraulic loading rates (HLRs). To improve sustainable nitrogen removal, the influence of intermittent operation and shunt distributing wastewater on the performance of MSL-SWI systems was investigated. The optimal performance—with removal efficiencies of 93.41% for chemical oxygen demand, 97.91% for total phosphorus, 74.02% for ammonia nitrogen, and 73.56% for total nitrogen—was achieved using both intermittent operation and shunt distributing wastewater under an HLR of 0.3 m3 m−2 d−1. The activity of microbial nitrogen functional genes (i.e., amoA, nirK, nirS, nosZ, and anammox 16S rRNA) and their relationships with nitrogen transformation rates were further analyzed in different layers of the system. The results imply that nitrification and anaerobic ammonium oxidation in the MSL section coupled with nitrification and denitrification in the SWI section contribute to main the mechanisms of sustainable nitrogen removal. In summary, MSL-SWI systems not only operate with high efficiency under high HLRs, but the contaminant removal is also stable and sustainable, which are promising properties for domestic sewage treatment in areas where land resources are limited.

1. Introduction

Because of limited local budgets to construct sewer networks and centralized sewage systems in small and remote communities, domestic wastewater is often discharged into the environment without treatment, resulting in serious water pollution [1,2]. Subsurface wastewater infiltration (SWI) systems have gained considerable attention in this context due to their advantages of low cost, easy maintenance, and satisfactory performance in domestic sewage treatment [3]. More than 80% of nitrogen can be removed by SWI treatments using intermittent operation and shunt distributing wastewater, with more than a 90% removal of organic matter and phosphorus [4,5,6]. However, pollutant removal efficiency declines significantly when hydraulic loading rates (HLRs) are increased, and serious clogging will occur at an HLR of 0.125 m3 m−2 d−1 [2,7,8,9]. The large operational footprints resulting from low hydraulic capacity restrict the wider application of SWI systems in areas with land resource shortages.
A novel land treatment technology, called multi-soil-layering (MSL), in which soil mixture blocks (SMBs) are surrounded by permeable layers (PLs) in a brick-like pattern, has been successfully applied under high HLRs [8,10,11,12]. The PLs generally consist of zeolite, gravel, or other highly porous materials. The SMBs are a mixture of local soil and other materials which can improve pollutant removal performance, such as iron with high phosphorus adsorption capacity, sawdust frequently used as a solid carbon source for nitrogen removal, etc. This basic structure improves the dispersion of water and reduces the risk of clogging effectively [13,14]. Therefore, MSL systems can operate well with favorable performance, even with HLRs 5–10 times that of SWI systems [15,16,17,18]. Studies of MSL systems for domestic wastewater treatment in recent years mainly focus on the substrate composition improvement and operation mode optimization [19,20,21,22]. However, owing to the inhomogeneous structure of substrate, the effluent quality of MSL systems fluctuates more violently than SWI systems, which has potential risks to the environment. In addition, unsustainable denitrification with low efficiency relying on the extra solid carbon source addition in SMBs is also a problem that needs to be solved [14,15].
In this study, a two-stage system consisting of MSL and SWI (termed MSL-SWI) was developed to make them complement each other and achieve stable and sustainable purification performance for domestic sewage treatment under high HLRs. The wastewater was first fed into an upper MSL section to reduce the pollutant loading and mitigate clogging during the following SWI section which was designed to further remove pollutants. To improve durable nitrogen removal, intermittent operation that ensures the favorable aerobic conditions for nitrification and shunt distributing wastewater instead of using additional solid carbon sources for denitrification was utilized in MSL-SWI systems. This paper focuses on pilot-scale experiments in four MSL-SWI systems treating domestic wastewater under high HLRs. The purification performances with respect to chemical oxygen demand (COD), total phosphorus (TP), ammonia nitrogen (NH4-N), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), and total nitrogen (TN) were compared using mid-stage and final effluent in four different setups. To determine the nitrogen removal mechanisms in MSL-SWI systems, key nitrogen removal functional genes (amoA, nirK, nirS, nosZ, and anammox 16S rRNA) were analyzed in the different media, which were correlated with the migration and transformation of nitrogen.

2. Materials and Methods

2.1. Experimental Apparatus and Materials

Four setups (Figure 1a) made of stainless steel were constructed outdoors and were operated under different conditions at a sewage treatment plant in Dali, Yunnan Province, China. The MSL section (50 cm length × 50 cm width × 70 cm height) consisted of soil mixture layers (SMLs) alternating with PLs, as shown in Figure 1b. Each SMB in the SMLs was filled with the same substrate, composed of 60% local soil, 30% cinder, and 10% bio-ceramic by weight. Additionally, two different SMB dimensions were used—12.5 cm length × 50 cm width × 5 cm height and 15 cm length × 50 cm width × 5 cm height. The void space between the vertically and horizontally adjacent SMBs was filled with zeolite particles with diameters of 0.1–0.3 cm. A 5 cm layer of gravel (1–3 cm diameter) was prepared at the surface and bottom level of each system. Influent emitter pipes were installed at the top of the MSL systems. The dimension of the SWI section (Figure 1c) was the same as the MSL systems. Each cuboid was filled with 10 cm of gravel (1–3 mm diameter) at the top and bottom. A homogeneous substrate, composed of 70% local soil, 20% cinder, and 10% bio-ceramic by weight, was placed in the middle of each SWI system. The SWI section was fed by treated wastewater from the MSL section, and the influent emitter for the SWI was installed at the bottom to increase the hydraulic retention time.

2.2. System Operation

Real domestic wastewater was discharged into each MSL-SWI system by peristaltic pumps. The wastewater quality indexes were as follows: COD = 74.5–139.2 mg L−1, TP = 1.7–5.8 mg L−1, TN = 22.2–34.2 mg L−1, and NH4-N = 9.2–19.1 mg L−1.
Four setups operated under different conditions were constructed in this study, named MSL-SWI A, B, C, and D. The HLR of MSL-SWI A, B, and C was the same, namely, 0.3 m3 m−2 d−1. MSL-SWI A was a control with continuous feeding. Shunt distribution pipes were installed and connected with the outlet pipe of MSL sections to supply shunt distributed wastewater to SWI sections of MSL-SWI B and C. The main distributing pipe and the shunt distributing pipe had HLRs of 0.2 m3 m−2 d−1 and 0.1 m3 m−2 d−1, respectively. An intermittent operation mode was also applied in the case of MSL-SWI C, whereby each cycle included a flooding period of 12 h and a drying period of 12 h. Feeding began at 8 a.m. and was stopped at 8 p.m. each day. Lastly, to study the influence of higher HLRs, a fourth system (MSL-SWI D) was fed continuously at an HLR of 0.5 m3 m−2 d−1. Specific operating parameters of the four MSL-SWI systems are shown in Table 1.
The red clay used in the systems was taken from the top 20 cm of earth in Dali, Yunnan Province, China; the zeolite was purchased from the Zhejiang Shenshi Mining Industry Co., Ltd. (Wenzhou, China); the cinder was collected from the Midu Lixin Engineering Construction Co., Ltd. (Dali, China); and the biological ceramsite was obtained from bio-ceramic, which was purchased from the Gongyi Longxin Water Purification Material Co., Ltd. (Zhengzhou, China). For fundamental properties of materials, refer to Appendix A.

2.3. Water Sampling and Analysis

Water samples from the influent, mid-stage effluent, and final effluent were taken from the aerated grit chambers, the outlet pool in the MSL section, and the outlet pools in the SWI section, respectively, every five days at 11 a.m. The collected samples were stored at 4 °C and analyzed within 24 h. The quality analysis methods were as follows: the potassium dichromate method was used to determine COD; the colorimetric method was used to determine TP, NH4-N, and NO2-N; and the ultraviolet spectrophotometric method was used to determine NO3-N and TN. All of the techniques followed standard methods [23].

2.4. Soil Sampling and Determination

Matrix samples were collected from PLs, SMBs, and SWI sections of the four setups. The samples were then stored in an ice incubator and subsequently brought to the laboratory for nitrogen mass balance and key nitrogen removal functional gene analyses.
Total nitrogen in the matrix was determined by the potassium dichromate–sulfuric acid digestion method [24]. The gene detection was based on the qPCR technique according to Ji et al. [25]. MIO-BIO power Soil DNA isolation kits were used to extract and purify the total genomic DNA from the samples. Extracted genomic DNA was detected by 1.2% agarose gel electrophoresis. Quantitative analysis was conducted on target fragments of the amoA, nirK, nirS, and nosZ genes and anammox 16S rRNA (AMX). Primers for these gene fragments were synthesized, and standard curves of the abundance of nitrogen micro-cycle functional genes were quantitated. The r2 value of each standard curve was greater than 0.99. The qPCR was performed on an FTC-3000 Real-Time PCR detection system (Funglyn Biotech, Canada) using SYBR Green as the fluorescent dye in a three-step thermal cycling procedure, and each real-time PCR amplification consisted of a total of 40 cycles. Sterile water was used as a negative control, at which point the absolute richness of the genes was measured.

2.5. Statistical Analysis

The concentrations of the influent, the mid-stage effluent, and the final effluent were used to calculate the transformation rates of nitrogen in the MSL and SWI sections of the MSL-SWI systems. The additional pollution from the shunt distributed wastewater was considered in the calculation of the SWI nitrogen transformation rates of MSL-SWI B and C. The association between the nitrogen removal rate and the abundance of key nitrogen functional genes was assessed using correlation analysis in SPSS 20.

3. Results

3.1. Organic Matter Removal

The average water quality and removal efficiency of mid-stage and final effluents are presented in Table 2. The COD removal performance of four MSL-SWI systems during the entire experimental period is shown in Figure 2. In a soil infiltration system, physicochemical reactions such as filtration and adsorption are considered the major initial processes of organic matter removal, which are gradually replaced by microbial action over time [11,26]. Generally, the period for the establishment of a stable physical, chemical, and biological environments is considered as the “start-up” of soil infiltration treatments, during which the effluent quality fluctuates significantly. As shown in Figure 2, the COD removal efficiency as measured for both mid-stage and final effluents in four systems remained stable after the 20-day experiment, which could be considered as the completion of the start-up period.
After the start-up period, the COD concentrations of the mid-stage effluent in MSL-SWI A, B, C, and D were 9.79 ± 4.06 mg L−1, 7.69 ± 4.59 mg L−1, 8.03 ± 3.72 mg L−1, and 14.18 ± 7.68 mg L−1 and the average removal efficiencies were 90.45%, 92.46%, 92.32%, and 85.52%, respectively. In MSL systems, organic matter degradation occurs mainly in the upper layer by aerobic biochemical oxidation [11,13]. It is indicated that the average COD removal efficiency decreased with the increment of HLRs in MSL sections through the comparation of the mid-stage effluents of systems A, B, and D. More oxygen will be consumed by biological degradation under larger pollutant inputs, which is adverse to the aerobic environments and constrains the COD removal process [27]. With regard to MSL-SWI B and C, both with an MSL HLR of 0.2 m3 m−2 d−1, there were no significant differences between the COD values (p > 0.05). The favorable aerobic conditions contributed by the MSL structure facilitated the formation of a satisfactory aerobic environment, and the intermittent operation showed a limited improvement in COD removal. In addition, as shown in Figure 2a, COD removal efficiency fluctuated greatly during the middle and later periods in MSL-SWI D when compared to the other systems. Sato et al. reported that the efficiency of organic matter removal was higher in the SMBs than in the PLs because of more effective interception and degradation in the mixed soil [10,11]. Accordingly, it could be inferred that “short-circuiting” occurred in MSL-SWI D under the higher HLR of 0.5 m3 m−2 d−1, whereby sewage flowed along the PLs, leading to unstable COD removal.
Nevertheless, after further purification by the mixed soil of the SWI systems, the removal efficiency of COD based on the final effluent reached 94.24%, 93.35%, 93.41%, and 91.95% in MSL-SWI A, B, C, and D, respectively. Although the SWI sections were saturated in this study, the purification efficiency increased in all systems, even when shunt distributed wastewater was added to MSL-SWI B and C. This could be explained by anaerobic degradation by heterotrophic bacteria in the SWI sections, including denitrifying processes that consume organic matter as a carbon source [28,29]. The COD concentrations of the final effluents in four MSL-SWI systems were stable and had no obvious differences (p > 0.05).

3.2. Phosphorus Removal

Physicochemical sedimentation and adsorption are the main pathways of phosphorus removal in soil infiltration systems, and occur simultaneously [30,31]. As shown in Figure 3, excellent TP removal efficiencies (of more than 95%) were observed for the mid-stage and final effluents in all four MSL-SWI systems at the start of their operation. However, TP concentrations in the mid-stage effluents of MSL-SWI A and D fluctuated during the middle and later periods, especially in system D, as shown in Figure 3a. In MSL systems, the removal of phosphorus depends more on water infiltrating into the SMBs than the PLs [10,11]. Therefore, the phenomenon provided further evidence of the “short-circuiting” of water flow in system A and system D, resulting in lower TP removal efficiencies of 94.17% and 85.85%, respectively. In the other systems, the purification performance was significantly better and remained relatively stable.
Similar to COD removal, after purification by SWI sections, the TP concentrations in the final effluents were consistently less than 0.20 mg L−1 in all systems. Shunt distributing wastewater in MSL-SWI B and C displayed no obvious effects on phosphorus removal, resulting from the high phosphorus removal capacity of the SWI substrates (such as red clay and cinder) which contain large amounts of iron and alumina oxides [9,32].

3.3. Nitrogen Removal

Nitrogen removal processes were established over time in the four MSL-SWI systems, as shown in Figure 4. In soil infiltration systems, the removal of NH4-N is dominated by adsorption and nitrification [13,19,33]. Based on the mid-stage effluent, excellent removal efficiencies of more than 95% were achieved from the beginning of the experiment, and there were no significant differences between the four systems (p > 0.05). The high ion exchange capacity of zeolites in the PLs was the predominant contributor to the results. Based on the final effluents from SWI sections, the excellent purification performances were maintained in MSL-SWI A and D. However, due to the addition of shunt distributed wastewater, it took approximately 35 days to reach a relatively stable performance in MSL-SWI B and C, and the removal efficiency decreased by 32.41% and 24.20%, respectively. This indicated the lower NH4-N adsorption property of the mixed soil, and the limited nitrification owing to the saturated anaerobic condition in the SWI section. In contrast, the higher removal efficiency in MSL-SWI C showed positive effects of intermittent operation, as was found by Li et al. [34].
As the intermediate products of biological nitrogen removal, the concentrations of NO2-N and NO3-N rose sharply and then decreased, as shown in Figure 4c–f, demonstrating the occurrence of nitrification and denitrification in each system [35]. As shown by the mid-stage effluents (Figure 4e), the concentrations of NO3-N during the first 30 days were more than 25 mg L−1 in MSL-SWI A, B, and C, and were even higher than the concentration of TN in the influent. This demonstrated that both the NH4-N in the sewage and that adsorbed by the zeolite were nitrified. The adsorption capacity of zeolite can be restored by nitrification, which is conducive to the long-term sustainable removal of nitrogen pollutants [11,19,36]. The average concentrations of NO3-N in mid-stage effluents of MSL-SWI A, B, and C were 14.62 mg L−1, 19.45 mg L−1, and 15.88 mg L−1, respectively. The concentration of NO3-N decreased with an increasing flow rate in the MSL systems. This could be explained by the fact that more organic pollutants in the lower layers under higher flow rates provided carbon sources to promote the denitrification. In MSL-SWI D, the concentration of NO3-N in the mid-stage effluent was significantly lower than that in the other systems. This indicated incomplete nitrification, which could be explained by the deteriorated oxidation environment under a higher HLR and the “short-circuiting” of system D as identified based on COD and TP analyses. In the final effluents from MSL-SWI A and D (Figure 4f), the drop in NO3-N concentrations was small due to the lack of carbon sources. In contrast, the reduction of NO3-N was significant in MSL-SWI B and C, reflecting strengthened denitrification on account of the carbon source supplement by shunt distributed wastewater [6,28].
As shown in Figure 4g,h, TN removal became relatively stable after 45 days. The high TN removal efficiencies in the initial period were more dependent on substrate adsorption, but biological nitrogen removal would have become gradually more important with the growth and diversity evolution of the bacterial community [2]. In mid-stage effluents, average TN removal efficiencies were less than 40% in MSL-SWI A, B, and C, and about 90% of TN was composed of NO3-N. The lack of carbon sources greatly restricts denitrification in the MSL systems, resulting in unsatisfactory TN purification. In the final effluent, TN removal efficiencies in MSL-SWI B and C were significantly increased by 38.36% and 36.64%, respectively, which showed that although shunt distributing wastewater caused a reduction in the efficiency of NH4-N removal, nitrogen removal performance was enhanced overall because of effective denitrification processes [2,33]. Similar to NO3-N removal, the concentrations of TN were lowest in MSL-SWI D. In addition, the total TN removal efficiency indicated by the final effluent of MSL-SWI D was 9.97% higher than the mid-stage effluent, which is better than MSL-SWI A. This was in line with the short flow path in MSL-SWI D under higher HLRs, bringing about more carbon to the lower layers, thus enhancing denitrification [15].
To further understand the nitrogen removal mechanism in MSL-SWI systems, the mass balance of nitrogen was analyzed. As shown in Table 3, the nitrogen removal results were slightly different from those of water quality tests, because the mass calculation was based on 100-day operation results, including the start-up period. In the MSL section of non-shunt systems (MSL-SWI A and D), the proportions of nitrogen removal by adsorption were much higher than those by degradation. Especially for MSL-SWI D under the higher HLR, the nitrogen removed via adsorption accounted for more than 85% of the total nitrogen removal. However, opposite results were realized in the shunt systems (MSL-SWI B and C), illustrating the positive effects of shunt distribution on the biological nitrogen removal. The highest degradation proportion and the lowest adsorption proportion in MSL-SWI C also proved that intermittent operation was more conducive to nitrification and denitrification. In the SWI section, biological nitrogen removal played a more significant role in all MSL-SWI systems. Comparing shunt systems with non-shunt systems, it could be inferred that shunt distributing wastewater significantly contributed to the better biodegradation. As for the whole MSL-SWI system, the best nitrogen removal performance occurred in MSL-SWI D with a continuous feeding at an HLR of 0.5 m3 m−2 d−1. However, it predominantly relied on the unsustainable process of physical and chemical absorption. Once the substrate had reached its adsorption saturation, the removal efficiency would decrease rapidly, causing serious pollution [33,37,38]. In MSL-SWI C, although the total nitrogen removal was not as high as in MSL-SWI D, the biological removal rate was almost tripled, benefitting from intermittent operation and shunt distributing wastewater, which provided a more sustainable and stable way to achieve high nitrogen removal in the case of domestic wastewater treatment.

3.4. The Association between Nitrogen Removal and Functional Genes

The abundance of nitrogen functional genes in the four MSL-SWI systems is shown in Figure 5. The gene amoA, which catalyzes the oxidation of NH4-N to NO2-N, is thought to be rate-limiting in nitrification [39,40,41]. A reduction in the abundance of amoA genes was found between sections of MSL-SWI A and D in the order PLs > SMBs > SWI reactors. However, in MSL-SWI B and C, the abundance of amoA genes initially peaked in the PLs, then decreased in the SMBs, and, finally, slightly increased in the SWI sections. This showed how shunt distributing wastewater enhanced the growth of nitrogen-removing bacteria and improved the associated enzyme activity [42]. In addition, the abundances of the amoA gene in the SMBs and the SWI sections of MSL-SWI C were significantly increased compared to MSL-SWI B, indicating a positive influence of intermittent operation on nitrification [34]. The opposite trend was found in the PLs of MSL-SWI B and C; PLs that can have higher permeability were detrimental to the water-holding capacity of MSL-SWI C and led to shorter sewage retention times under a higher flow rate, which was not conducive to nitrification. The observations were consistent with the analysis of nitrogen removal reported in Section 3.3. Furthermore, the low abundance of amoA genes observed in MSL-SWI D also proved incomplete nitrification due to the unfavorable oxygen environment and short-circuiting under the higher HLR.
With respect to denitrification, nitrite reductase, as the product of the genes nirK and nirS, is the limiting factor [43]. Furthermore, N2O reductase, encoded by nosZ genes, indicates complete biological denitrification. In this study, the abundance of nirK, nirS, and nosZ genes decreased in the order PLs > SMBs > SWI sections in four systems, which probably reflected the progressive reduction in pollutants. The higher water flow in the SMBs under higher HLRs might lead to a higher abundance of these genes in MSL-SWI A and D compared to MSL-SWI B and C. Their low abundance in the PLs of MSL-SWI D also reflected the fact that systems overloaded with pollutants can inhibit bacterial growth. Remarkably, the low abundance of nosZ genes in the SWI section indicated incomplete denitrification, which will cause the release of the greenhouse gases NO and N2O, requiring further investigation.
AMX is regarded as the marker of anaerobic ammonium oxidation (anammox) that converts NH4-N and NO2-N to N2 under anoxic conditions, which is of great significance for nitrogen removal during sewage treatment [44]. As shown in Figure 5, the abundance of AMX in the PLs increased with increasing HLRs. This could be interpreted as showing the strong NH4-N adsorption ability of zeolite, which provided more NH4-N substrate for nitrifying bacteria under high HLRs. In MSL-SWI B and C, the abundance of AMX in the SWI sections was higher in the PLs and the SMBs. This resulted from the saturated conditions and the shunt distributed wastewater. Compared to MSL-SWI C, the higher abundance of AMX in MSL-SWI B also demonstrated that the environment in system B was more beneficial to anaerobic processes.
Table 4 shows the Pearson correlation coefficients for nitrogen removal rates and the abundance of functional genes. In the PLs of the MSL sections, the NO3-N removal rate was negatively correlated with the abundances of amoA (p < 0.05). A high abundance of amoA genes has been identified as a sign of sufficient nitrification, indicating the production of NO3-N [39]. The positive correlation between the NO2-N purification rate and nirK was also significant (p < 0.05), which demonstrated that denitrification in the PLs was primarily facilitated by nirK genes. This is consistent with other studies showing that, although the abundance of nirS genes was higher than nirK genes, nirK genes are more essential for denitrification in aerobic conditions. However, even if the denitrification functionality of nirS genes in the PLs was low, NO3-N and NO2-N acted as the substrates for denitrification and accounted for more than 80% of the TN in the mid-stage effluent. This contributed to a higher abundance of nirS genes at this stage, and resulted in a negative correlation between TN removal rate and nirS. N2O reductase, encoded by the nosZ genes, was influenced by the reduction and removal rate of NO2-N, shown by their positive correlation (p < 0.05). In the SMBs of the MSL sections, positive correlations between the NH4-N removal rates and the abundance of amoA, nirS, and nosZ genes and AMX were observed (p < 0.05). This indicated that the removal of NH4-N was mainly influenced by nitrification and anammox rather than adsorption given the lower ion exchange capacity of the soil compared to zeolite. For nirS and nosZ, the positive correlations might have resulted from substrate supplementation by nitrification. The positive correlations between denitrification genes (nirK, nirS, and nosZ) and NO3-N, NO2-N, and TN removal implied that denitrification in the MSL systems occurred in the SMBs, but the effects were not significant (p > 0.05). However, TN removal rates were positively correlated with AMX (p < 0.05). Nitrification coupled with anammox might, therefore, be the primary mechanism of biological nitrogen removal in MSL systems. In the SWI systems, positive correlations between amoA genes and the NH4-N removal rate, between nirS genes and the NO3-N removal rate, and between nirS genes and the TN removal rate demonstrated that the nitrogen removal was driven by biological nitrification and denitrification. The unusual phenomenon of the NO2-N removal rate being negatively correlated with the abundance of nirS genes might result from the omission of NO2-N (produced by the reduction of NO3-N) from the first denitrification process.

3.5. Cost Analysis

As MSL-SWI systems are mainly composed of local and waste materials, such as soil, bio-ceramic, and cinder, the cost of construction is comparatively low. To construct an MSL-SWI system with a domestic sewage treatment capacity of 100 m3 d−1, the area required is around 300 m2, with a depth of 0.5 m for both MSL and SWI sections. Sewage from the storage tank is generally distributed evenly onto the top zeolite layer in MSL sections through a set of perforated pipes. Shunt distributed wastewater mixed with the effluent of MSL sections is then transported into the bottom of the systems while the outlet is located at the top of SWI sections to ensure the anaerobic environment. It is necessary to ensure a uniform distribution of wastewater across the facility. Regarding to the preparation of substrate materials, if we assume that half of the MSL system is composed of zeolite (75 m3), around 45 tonnes of zeolite would be required at a price of USD 20 tonne−1, for a total price of USD 900 in China. The bulk density of SMBs is around 1.2 g cm−3. The weight of SMBs is around 90 tonnes, out of which 60% is soil (around 54 tonnes), 30% is cinder (around 27 tonnes), and 10% is bio-ceramic (around 9 tonnes). The bulk density of the SWI sections is around 1.4 g cm−3. Similarly, the weight of SWI is around 210 tonnes, out of which 70% is soil (around 147 tonnes), 20% is cinder (around 42 tonnes), and 10% is bio-ceramic (around 21 tonnes). The price for bio-ceramic is around USD 80 tonne−1 in China. The cinder, as industrial waste, is usually free. Therefore, the whole cost for constructing such an MSL-SWI system can be about USD 10,000 in China. In addition, as an ecological technology, no power or only micro power is necessary for sewage transportation and distribution in the MSL-SWI system. The main types of maintenance, including grid cleaning and clogging inspection, are uncomplicated and easy to implement. Most of the sludge can be decomposed inside the systema, and the substrates from the used systems may be applied for agricultural addition as they are rich in nutrients, such as NH4-N, P, Fe, and Ca. Nevertheless, a careful assessment should be conducted for the reusability of the soil since it may contain unconventional containments (such as environmental hormones) which can cause potential harm to the environment and ecology [29].

4. Conclusions

The performance of domestic sewage treatments and the mechanisms of nitrogen removal by a novel, integrated MSL-SWI system were studied using pilot-scale experiments. The lowest TN concentrations occurred in MSL-SWI D operated with continuous feeding at an HLR of 0.5 m3 m−2 d−1. However, nitrogen pollutants were mainly removed via unsustainable absorption processes without sufficient nitrification. Therefore, MSL-SWI systems with intermittent operation and shunt distributed wastewater have been proved to be optimal, due to the successful functionalized partitioning. In this system, the upper MSL section facilitates the removal of organic matter, provides sufficient nitrification, and prevents the system from becoming clogged by mitigating the accumulation of pollutants. The SWI section further purifies the sewage by removing residual pollutants and acts as a denitrification reactor to improve nitrogen removal. Stable removal efficiencies of 93.41% for COD, 97.91% for TP, 74.02% for NH4-N, and 73.56% for TN were obtained with an HLR of 0.3 m3 m−2 d−1. Based on the analysis of nitrogen transformation and functional genes, both nitrification combined with anammox in the MSL systems and nitrification coupled with denitrification in the SWI systems were found to be key mechanisms for the sustainable nitrogen removal in MSL-SWI systems. The systems offer promise for efficient and sustainable domestic sewage treatment under high HLRs.

Author Contributions

Conceptualization, D.L., X.W. and L.C.; methodology, D.L., X.W. and L.C.; software, D.L.; validation, D.L.; formal analysis, D.L.; investigation, D.L., Z.Z., Y.L. and X.L.; resources, X.W.; data curation, D.L.; writing—original draft preparation, D.L.; writing—review and editing, L.C. and X.W.; visualization, D.L.; supervision, X.W. and L.C.; project administration, X.W. and L.C.; funding acquisition, X.W. and L.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key Project on Prevention and Control of Water Pollution from the Ministry of Ecology and Environment, China, grant number 2017ZX07203-005.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data available in a publicly accessible repository that does not issue DOIs Publicly available datasets were analyzed in this study. This data can be found here: [Link: https://entuedu-my.sharepoint.com/:f:/g/personal/dan005_e_ntu_edu_sg/ElVKCbFk-0tDo1u0GWHuu8wBLI2CLH0tJKk908B3kuNx5Q?e=JZjUje/Accession number: 427835].

Acknowledgments

We acknowledge the financial support from the National Key Project on Prevention and Control of Water Pollution from the Ministry of Ecology and Environment, China (2017ZX07203-005).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Appendix A

Table A1. Fundamental properties of red clay.
Table A1. Fundamental properties of red clay.
ItemOrganic Matter Content (%)Nitrogen Content (mg/Kg)Phosphorus Content (mg/Kg)Potassium Content (mg/Kg)pH
Red clay0.238-526.5
Table A2. Fundamental properties of zeolite.
Table A2. Fundamental properties of zeolite.
ItemHardnessPore Diameter (AI)Specific Surface Area (m2/g)Si/Al RatioThermal Stability (°C)
Zeolite3–43.51–4230–3206.5750
Table A3. Fundamental properties of bio-ceramic.
Table A3. Fundamental properties of bio-ceramic.
ItemPorosity (%)Specific Surface Area (m2/g)Chemical Composition (%)
SiO2Al2O3Fe2O3
Bio-ceramic56%0.986518–226–8
Table A4. Fundamental properties of cinder.
Table A4. Fundamental properties of cinder.
ItemSpecific Surface Area (m2/g)Chemical Composition (%)
SiO2Al2O3FeOnCaO
Cinder0.27–0.3240141822

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Figure 1. Schematic drawing of the experimental apparatus: (a) four multi-soil-layering and subsurface wastewater infiltration (MSL-SWI) systems with different operation modes; (b) the MSL section; (c) the SWI section. Note: All dimensions are shown in cm.
Figure 1. Schematic drawing of the experimental apparatus: (a) four multi-soil-layering and subsurface wastewater infiltration (MSL-SWI) systems with different operation modes; (b) the MSL section; (c) the SWI section. Note: All dimensions are shown in cm.
Water 13 00431 g001
Figure 2. COD concentrations and removal efficiencies in different experimental MSL-SWI systems. (a): COD in mid-stage effluent; (b): COD in final effluent.
Figure 2. COD concentrations and removal efficiencies in different experimental MSL-SWI systems. (a): COD in mid-stage effluent; (b): COD in final effluent.
Water 13 00431 g002
Figure 3. Concentrations of TP and removal efficiencies in different experimental MSL-SWI systems. (a): TP in mid-stage effluent; (b): TP in final effluent.
Figure 3. Concentrations of TP and removal efficiencies in different experimental MSL-SWI systems. (a): TP in mid-stage effluent; (b): TP in final effluent.
Water 13 00431 g003
Figure 4. Nitrogen concentrations and removal efficiencies in different experimental MSL-SWI systems. (a): NH4-N in mid-stage effluent; (b) NH4-N in final effluent; (c) NO2-N in mid-stage effluent; (d) NO2-N in final effluent; (e) NO3-N in mid-stage effluent; (f) NO3-N in final effluent; (g) TN in mid-stage effluent; (h) TN in final effluent.
Figure 4. Nitrogen concentrations and removal efficiencies in different experimental MSL-SWI systems. (a): NH4-N in mid-stage effluent; (b) NH4-N in final effluent; (c) NO2-N in mid-stage effluent; (d) NO2-N in final effluent; (e) NO3-N in mid-stage effluent; (f) NO3-N in final effluent; (g) TN in mid-stage effluent; (h) TN in final effluent.
Water 13 00431 g004
Figure 5. The abundance of nitrogen functional genes in PLs, SMBs, and SWI sections in four MSL-SWI systems.
Figure 5. The abundance of nitrogen functional genes in PLs, SMBs, and SWI sections in four MSL-SWI systems.
Water 13 00431 g005
Table 1. Operating parameters of four MSL-SWI systems operated under different modes.
Table 1. Operating parameters of four MSL-SWI systems operated under different modes.
Operation ModesABCD
MSLSWIMSLSWIMSLSWIMSLSWI
HLR
(m3 m−2 d−1)
0.30.30.20.30.20.30.50.5
Operation time
(h d−1)
2424242412122424
Flow rate 1
(cm3 min−1)
52.0852.0834.7252.0869.44104.1786.8186.81
1 Flow rate at runtime.
Table 2. Performance of MSL-SWI systems under various operating conditions.
Table 2. Performance of MSL-SWI systems under various operating conditions.
Para-
Meters
InfluentMSL-SWI AMSL-SWI BMSL-SWI CMSL-SWI D
Mid-Stage
Effluent
Final
Effluent
Mid-Satge
Effluent
Final
Effluent
Mid-Stage
Effluent
Final
Effluent
Mid-Satge
Effluent
Final
Effluent
CODcr107.1 ± 20.2 19.79 ± 4.06 (90.45) 25.98 ± 2.15 (94.24)7.69 ± 4.59 (92.46)7.05 ± 2.95 (93.35)8.03 ± 3.72 (92.32)6.91 ± 2.52 (93.41)14.18 ± 7.68 (85.52)8.21 ± 3.28 (91.95)
TP3.07 ± 1.050.20 ± 0.15 (94.17)0.08 ± 0.07 (97.79)0.06 ± 0.03 (97.84)0.05 ± 0.03 (98.05)0.11 ± 0.05 (96.23)0.06 ± 0.04 (97.91)0.41 ± 0.32 (85.85)0.11 ± 0.07 (96.34)
NH4-N13.10 ± 2.970.60 ± 0.65 (95.42)0.33 ± 0.29 (97.36)0.18 ± 0.15 (98.53)4.48 ± 1.31 (66.12)0.23 ± 0.20 (98.22)3.43 ± 1.02 (74.02)0.32 ± 0.20 (97.46)0.25 ± 0.15 (97.98)
NO3-N0.65 ± 0.2615.62 ± 2.9214.51 ± 3.5919.45 ± 3.625.26 ± 1.2915.88 ± 3.842.88 ± 1.204.83 ± 2.432.40 ± 1.40
NO2-N0.11 ± 0.0540.005 ± 0.0130.008 ± 0.0170.057 ± 0.0130.22 ± 0.090.043 ± 0.0540.262 ± 0.2470.065 ± 0.0670.049 ± 0.105
TN27.97 ± 3.8518.16 ± 4.16 (36.99)17.41 ± 4.64 (38.08)21.50 ± 4.35 (22.19)10.96 ± 1.18 (60.55)17.44 ± 5.33 (36.92)7.39 ± 1.34 (73.56)7.29 ± 3.54 (74.16)4.53 ± 2.10 (84.13)
1 Mean value ± standard deviation (mg/L). 2 Values in the round brackets represent the mean removal efficiency (%).
Table 3. Mass balance of nitrogen in MSL-SWI systems.
Table 3. Mass balance of nitrogen in MSL-SWI systems.
ParameterMSLSWIMSL-SWI
ABCDABCDABCD
Input2080.73 11387.151387.153467.881376.871711.181575.91940.722080.732080.732080.733467.88
Output1376.87
(66.17 2)
1017.61
(73.36)
882.33
(63.61)
940.72
(27.13)
1273.96
(92.53)
951.58
(55.61)
745.09
(47.28)
588.02
(62.51)
1273.96
(61.23)
951.58
(45.73)
745.09
(35.81)
588.02
(16.96)
Adsorption588.23
(28.27)
145.51
(10.49)
116.82
(8.42)
2154.14
(62.12)
18.75
(1.36)
181.24
(10.59)
254.98
(16.18)
131.25
(13.95)
606.98
(29.17)
326.75
(15.70)
371.80
(17.87)
2285.39
(65.90)
Degradation115.62
(5.56)
224.03
(16.15)
388.00
(27.97)
373.01
(10.76)
84.16
(6.11)
578.37
(33.80)
575.84
(36.54)
221.45
(23.54)
199.79
(9.60)
802.40
(38.56)
963.84
(46.32)
594.46
(17.14)
1 Mean value of nitrogen load (mg/day). 2 Values in the round brackets represent the mean proportion of the output nitrogen to the input nitrogen (%).
Table 4. Pearson correlation coefficients between nitrogen removal rates and functional genes in different MSL-SWI media.
Table 4. Pearson correlation coefficients between nitrogen removal rates and functional genes in different MSL-SWI media.
Para-
Meter
PLsSMBsSWI
NH4-NNO3-NNO2-NTNNH4-NNO3-NNO2-NTNNH4-NNO3-NNO2-NTN
amoA−0.174−0.9580.872−0.6850.9680.5710.0770.9390.9630.682−0.7470.736
nirK0.058−0.9070.963−0.5100.9380.0210.6050.592−0.139−0.7950.493−0.708
nirS−0.708−0.9120.433−0.9820.9990.3720.3060.8380.6400.981−0.9650.997
nosZ0.136−0.8760.978−0.4420.9850.5130.1580.9120.1800.799−0.5010.714
AMX0.9500.4260.7130.9160.9800.7470.3870.9910.6790.814−0.9190.923
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Li, D.; Wang, X.; Chi, L.; Zhang, Z.; Liu, Y.; Li, X. Decentralized Domestic Sewage Treatment Using an Integrated Multi-Soil-Layering and Subsurface Wastewater Infiltration System. Water 2021, 13, 431. https://doi.org/10.3390/w13040431

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Li D, Wang X, Chi L, Zhang Z, Liu Y, Li X. Decentralized Domestic Sewage Treatment Using an Integrated Multi-Soil-Layering and Subsurface Wastewater Infiltration System. Water. 2021; 13(4):431. https://doi.org/10.3390/w13040431

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Li, Dan, Xinze Wang, Lina Chi, Zhiping Zhang, Yanping Liu, and Xueying Li. 2021. "Decentralized Domestic Sewage Treatment Using an Integrated Multi-Soil-Layering and Subsurface Wastewater Infiltration System" Water 13, no. 4: 431. https://doi.org/10.3390/w13040431

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