Bioretention systems effectively capture rubber particles and other microplastics in stormwater runoff. However, it is uncertain whether long-term particle accumulation affects pollutant removal efficacy. This study investigated the impact of various concentrations of ethylene-propylene-diene-monomer (EPDM) particles (0, 50, 100, and 400 mg/L) on bioretention system nitrogen removal performance. The input of EPDM during short-duration (2 h) rainfall favored the removal of nitrogen, and the total nitrogen effluent concentration of the bioretention system with EPDM was reduced by 0.59–1.52 mg/L compared with that of the system without EPDM. In addition, the input of EPDM reduced the negative effects of drought. During long-duration (24 h) rainfall, higher concentrations of EPDM led to lower nitrate–nitrogen concentrations in the effluent. The bioretention system with EPDM required less time for nitrate–nitrogen removal to reach 50% than that without EPDM input. Microbial community analysis showed that EPDM increased the relative total abundance of denitrifying bacteria (such as Dechloromonas, Zoogloea, Ramlibacter, and Aeromonas) by 7.25–10.26%, which improved the denitrification capacity of the system.

  • The input of ethylene-propylene-diene-monomer (EPDM) promoted the nitrogen removal efficacy of the bioretention system.

  • The input of EPDM can reduce the negative impact of drought on the bioretention system.

  • The input of EPDM affects the microbial community in the bioretention system.

  • The effect of EPDM on the nitrogen cycle depends on its concentration and rainfall time.

The prevalence of emerging pollutants in the environment and their potential ecological risks have recently attracted widespread attention (Shao et al. 2021). Emerging pollutants are toxic and hazardous compounds that pose a significant risk to environmental or human health that have not yet been integrated into environmental management or for which current management techniques are insufficient (Alsadik et al. 2021). Microplastics (MPs) are a type of emerging pollutant that has gained significant attention from the public and scientific community because of their possible effects and global spread (Bhuyar et al. 2019, 2021). A type of MPs found in the environment is rubber particles from tire wear (Ziajahromi et al. 2020). According to statistics, 5,917,518 t of tires are worn globally per year, accounting for 5–10% of all MPs in the marine environment (Kole et al. 2017). Rubber particles are also produced by the deterioration and aging of plastic fields such as artificial grass, runways, and sidewalks, exacerbating environmental MP contamination (Kole et al. 2017; Armada et al. 2022).
Figure 1

The bioretention system model.

Figure 1

The bioretention system model.

Close modal

Urban stormwater runoff is a significant route for MPs to reach terrestrial and aquatic environments (Horton et al. 2017). Previous studies have found that tire particles are the most prevalent MPs in urban surface runoff, accounting for 42–62% of total MPs (Siegfried et al. 2017; Werbowski et al. 2021). This indicates that rainwater runoff should be treated before being released into nearby aquatic environments to lessen the ecotoxicological effects of MPs and contaminants carried by their diffusion in environmental media. Bioretention systems are an effective method of controlling and utilizing urban rainwater that can efficiently reduce peak runoff discharge and surface source pollution (Osman et al. 2019). Studies have shown that MPs can be physically retained in bioretention systems and removed at a rate of 84–100% (Smyth et al. 2021; Lange et al. 2022). Lange et al. (2022) discovered that MPs are primarily trapped in the upper layer of bioretention systems, with polypropylene, ethylene-vinyl acetate, polystyrene, and ethylene-propylene-diene-monomer (EPDM) rubber being the most common forms detected. However, it is unknown whether the MPs retained in bioretention systems affect their performance.

Once MPs are introduced into the natural environment, they can have direct or indirect impacts on ecosystem function (Wazne et al. 2023). After entering the soil, MPs eventually break down soil pore structure and soil aggregates, altering its chemical and physical characteristics, including its ability to retain water and other hydraulic qualities (Wang et al. 2022b; Sepehrnia et al. 2024). Plant root activity as well as water and nutrient transport can both be impacted by changes to soil's physical and chemical characteristics (Rillig et al. 2019). Plant growth is further impacted by MPs because they alter the synthesis of photosynthetic pigments and the activity of antioxidant enzymes (Rillig et al. 2019). MPs can also have an impact on the structure and richness of natural communities. MPs in marine environments can have a severe impact on the growth of native microzooplankton, with one experiment finding the biomass of the highest concentration MP treatment group being reduced by 96.59% compared to the control group after 72 h of exposure (Geng et al. 2021). In soil conditions, polylactic acid MPs increased and decreased the complexity of bacterial and fungal community structures, respectively (Liu et al. 2023). In addition, MPs adsorb a variety of environmental contaminants, including heavy metals and organic compounds; as a result, they pose a risk to the environment both as pollutants and through their interaction with other pollutants, causing combined toxicity (Li et al. 2018). From this, it would be expected that MPs would harm the fillers, plants, and microorganisms in bioretention systems, disrupting the initial material cycle and reducing pollutant removal.

Nitrogen is a contributing element to water eutrophication and a primary pollutant in stormwater runoff from bioretention systems (Li & Davis 2014; Osman et al. 2019; Shi et al. 2023; Zhou et al. 2023). Bioretention systems remove nitrogen from stormwater runoff primarily by filler adsorption, plant absorption, microbial mineralization, nitrification, and denitrification (Li & Davis 2014). However, it is unknown how MP deposition affects nitrogen removal in bioretention systems. Given the biotoxicity of MPs and the presence of MPs and nitrogen in stormwater runoff, it is vital to investigate the nitrogen migration and transformation process in bioretention systems when exposed to MP accumulation.

This study focused on the impact of EPDM input on the nitrogen removal performance of bioretention systems, determining the influence of varying EPDM concentrations on nitrogen removal efficiency (0, 50, 100, and 400 mg/L). In addition, the impact of EPDM input on nitrogen removal efficacy under various rainfall scenarios and its effect on the microbial community at different concentrations was determined. The influence of rubber MPs on the nitrogen cycle in the bioretention system was investigated by analyzing the nitrogen effluent concentration and microbial community composition under different EPDM concentrations, aiming to determine the influencing mechanism of long-term MP accumulation in a bioretention system for stormwater runoff.

Bioretention system construction

The bioretention column used in this experiment was a high-density polyethylene cylindrical box (660 mm high, 100 mm inner diameter). The effluent sampling point of the bioretention system was set at a column height of 3 cm, and sampling points were set at 20, 30, 40, and 50 cm to facilitate the collection of filler samples. The system was composed of planting (6 cm), filler (50 cm), and gravel layers (10 cm) from top to bottom (Figure 1). The filler layer was a fully mixed cinder (1–3 mm) containing loess (<2 mm) (v/v = 5:5) (Xu et al. 2024). The planting layer was Ophiopogon japonicus, which is prevalent in northwest China. The gravel layer was composed of fine sand (0.2–0.4 cm), medium gravel (0.4–0.8 cm), and coarse gravel (0.8–1.2 cm) (v/v/v = 3:3:4). After the bioretention system was constructed, it was domesticated for 1 month, during which simulated rainwater was pumped into the system. Indicators (ammonia–nitrogen (), nitrite–nitrogen (), nitrate–nitrogen (), and total nitrogen (TN)) were regularly monitored to determine system stability. After the system stabilized, rubber particle injection experiments were carried out.

To determine the effects of interference by different concentrations of rubber particles, four groups of bioretention systems containing 0, 50, 100, and 400 mg/L (corresponding to E0, E50, E100, and E400, respectively) EPDM were set up for short- and long-duration rainfall simulation tests (Rodland et al. 2022). The highest concentration of EPDM (400 mg/L) was chosen to mimic the effects of long-term accumulation of rubber particles in the natural environment. Research has indicated that the majority of MPs in runoff rainfall are concentrated in the 20–100 μm range, significantly exceeding other particle sizes (>100 μm) (Jarlskog et al. 2020). For this experiment, EPDM particles with a size of 75–100 μm were used.

Experimental method

Two distinct rainfall situations were used. The first rainfall condition was primarily designed to investigate the influence of EPDM on the nitrogen removal efficiency of a bioretention system under short-duration rainfall, lasting 27 days with a total of 15 rainfall events. The bioretention system endured dry periods of 2, 4, 8, and 2 days in succession, with rainfall events lasting 120 min occurring 3 days after each drought period ended. The second experiment investigated the impact of EPDM on the nitrogen removal performance of the bioretention system with long-duration rainfall. In this stage, the system was exposed to successive dry periods of 2, 4, and 8 days, followed by a 24-h rainfall event.

The experiment results could be negatively impacted by significant variations in runoff and contaminants produced by various rainstorm events. To prevent this, an artificial rainwater simulation was used; Table 1 displays the pollutant configuration of the simulated runoff (Shi et al. 2023).

Table 1

Simulated runoff pollutant configurations

PollutantConcentration (mg/L)Medicament
 NH4Cl 
 KNO3 
 KH2PO4 
COD 200 C6H12O6 
PollutantConcentration (mg/L)Medicament
 NH4Cl 
 KNO3 
 KH2PO4 
COD 200 C6H12O6 

COD, chemical oxygen demand.

The influent load of the bioretention system was determined according to the Technical Guidelines for Sponge City Construction – Construction of Low Impact Development (Trial) (2015) provided by the Ministry of Housing and Urban-Rural Development (China). In this study, the runoff control rate was 80% (equivalent to 17.4 mm of rainfall), and the facility service area was 7%. The influent load was calculated using the following equation:
(1)
where V is the influent load rate (mL/min), h is the quantity of rainfall (mm), d is a reaction column diameter (10 cm), α is a facility service area (7%), and t is a rainfall time (120 min). The calculation gives the bioretention system to simulate rainfall at a flow rate of 16.26 mL/min.

In an actual rainfall setting, when rainfall time increases, rubber particles on the road surface are gradually swept clean by rainwater. Rubber particles were only added during the first 2 h of long-duration rainfall to imitate this process.

Sample collection and analysis

Water sample collection and analysis

Four groups of bioretention system effluent were collected in the first stage to examine water quality. To minimize measurement errors, two 100 mL effluent samples were collected from each bioretention system after each rainfall event. In the second stage, the effluent from each bioretention system was collected at 30 min and 1, 2, 4, 6, 8, 10, 12, 16, 20, and 24 h after rainfall events. During one rainfall event, 11 effluent water samples were taken from each group of bioretention systems. All samples were collected in glass containers and kept at 4 °C until analysis. Nessler's reagent photometry, N-(1-naphthyl)-ethylenediamine photometry, ultraviolet spectrophotometry, and potassium persulfate oxidation were used to analyze the concentrations of , , , and TN in each sample, respectively, in accordance with National Environmental Protection Agency (2022).

Filler sample collection and analysis

Filler samples from the bioretention system were taken after the experiment to examine the composition of the microbial community. Bioretention system filler (2.00 ± 0.01 g) was extracted from the filler sampling ports located at 20, 30, 40, and 50 cm in height, in that order. To create a mixed sample that accurately represented the microbial dispersion inside the filler at the corresponding concentration, the four samples of varying heights were mixed uniformly (Shi et al. 2023). Samples of mixed fillers from the different bioretention systems were kept at −20 °C. The mixed soil samples were sent to a genetic sequencing company for high-throughput sequencing using the Illumina platform. The sequencing process followed basic high-throughput sequencing steps; the DNA was sequenced after DNA extraction and PCR amplification on a Miseq high-throughput sequencer. For operational taxonomic unit (OTU) cluster analysis, related DNA sequences were clustered into the same OTU for further analysis. Each OTU was compared to known species to determine the microbial species present in the soil samples.

Statistical analysis

Pollutant concentration and removal rate in the effluent were examined. Equation (2) was used to compute the pollution removal rate. To investigate the impact of varying EPDM input concentrations on the nitrogen removal efficiency, a one-way ANOVA was conducted in IBM SPSS Statistics 26 for both effluent concentration and removal rate. α < 0.05 was set as significant. The composition and relative abundance of the microbial communities at the phylum and genus levels were examined at various EPDM concentrations. Equations (3) and (4) were utilized to compute Shannon and Simpson indices to assess the alpha-diversity of microbial communities.
(2)
(3)
(4)
where Cin is the concentration of runoff pollutants input to the bioretention system, Cout is the concentration of runoff pollutants after treatment in the bioretention system, S is the number of species in the community, is the number of individuals of the th species in the community, and N is the total number of individuals in the community.

Influence of EPDM inputs on nitrogen removal under short-duration rainfall

The effluent concentration of under EPDM stress decreased by 0.3–0.93 mg/L under short-duration rainfall compared with E0, suggesting that varying EPDM concentrations stimulated removal (Figure 2(a)). Previous studies have demonstrated the capacity of MPs to absorb numerous kinds of environmental contaminants (Li et al. 2018). MPs have some ability to adsorb from stormwater runoff. According to the adsorption test (Table S2 and Figure S1), EPDM has good adsorption, with a maximum adsorption capacity somewhat less than that of loess but much larger than that of cinder. Consequently, the accumulation of EPDM in the bioretention system improved the ability of the filler to adsorb , removing it from rainwater runoff. In comparison to other systems, E50 had the best removal. This could be because of the high concentrations of EPDM that were added to the filler, blocking some of the pores and creating an anaerobic environment that prevented the growth of aerobic nitrifying bacteria (Zhou et al. 2023).
Figure 2

Effluent concentrations of (a), (b), (c), and TN (d) in each bioretention system during the short-duration rainfall period. (The gray background represents the drought period, the white background represents the rainfall period, and the gray background from left to right represents the drought for 2, 4, 8, and 2 days).

Figure 2

Effluent concentrations of (a), (b), (c), and TN (d) in each bioretention system during the short-duration rainfall period. (The gray background represents the drought period, the white background represents the rainfall period, and the gray background from left to right represents the drought for 2, 4, 8, and 2 days).

Close modal

removal in bioretention systems relates to drought duration (Figure 2(a)). The concentration of effluent reduced after 2 and 4 days of drought but increased after 8 days. During the dry period, nitrifying bacteria can convert NH4+−N adsorbed by the filler into NO2N and NO3N, reducing NH4+−N accumulation in the filler and restoring NH4+−N adsorption (Hatt et al. 2007). However, when drought lasts longer, runoff flows quickly through the filler, reducing the hydraulic retention time (Chen et al. 2022). The short contact period between stormwater runoff and the filler reduces the adsorption of , resulting in an increase in concentration in the effluent.

Under EPDM stress, the effluent concentration increased by 1.33–1.49 mg/L (P < 0.01) compared to E0, but the effluent concentration decreased by 1.31–2.08 mg/L (P < 0.05) (Figure 2(b) and 2(c)). This suggests that the addition of EPDM facilitates NO3N removal but also leads to the accumulation of . High concentrations in the effluent are caused by the anaerobic environment created by MPs input, which inhibits the activity of nitrite-oxidizing bacteria and makes it difficult for to be further oxidized to (Li et al. 2020; Zhou et al. 2023). Denitrification is the primary mechanism in bioretention systems for removing (Li & Davis 2014). The constant input of EPDM results in a large accumulation of rubber particles adhering to the filler medium, which can be used as an organic substrate for microorganisms to consume oxygen. This may not only encourage the growth of relevant functional bacteria but may also create a microenvironment conducive to nitrogen transformation (Huang et al. 2021). At the same time, the inner surface of the MPs provides an extra anaerobic habitat, promoting the growth and activity of denitrifying bacteria (Li et al. 2020).

EPDM stress resulted in reduced average effluent concentrations compared to E0 for three rainfall events following 2, 4, and 8 days of drought. This shows that EPDM inputs may mitigate the harmful consequences of drought on bioretention systems. This is consistent with Wang et al. (2022a) who found that some MPs boost soil water retention capacity, reducing the impact of drought stress on crops. The initial rainfall event at the end of the dry period had the greatest effluent concentration while following rainfall events had a progressively decreasing influence on effluent concentration. This could be because the activity of denitrifying bacteria eventually resumed, increasing denitrification.

The average TN concentration in the simulated runoff during the test phase was 17.85 ± 0.84 mg/L (Figure 2(d)). Under EPDM stress, the TN effluent concentration decreased by 0.59–1.52 mg/L in comparison to E0. The concentration trends in effluent and TN in Figure 2(c) and 2(d) are essentially the same, likely because the primary source of TN in the effluent was . While adding EPDM somewhat increased the amount of that accumulated, it also helped remove and , as well as TN. Following 2, 4, and 8 days of drought under EPDM stress, the average TN effluent concentrations after the three rainfalls were 0.41–1.67, 0.20–1.72, and 0.57–1.51 mg/L lower than those in the E0, respectively; this further showed that EPDM input lessened the detrimental effects of drought on the bioretention system.

Influence of EPDM inputs on nitrogen removal under long-duration rainfall

Under long-duration rainfall, effluent concentrations progressively increased as rainfall time increased (Figure 3). The primary mechanism for removing during a rainfall event is adsorption by the filler. As the duration of rainfall increases, the adsorption sites gradually decrease, resulting in a gradual decrease in the amount of that it can remove (Hatt et al. 2007). The effluent concentrations of at the start of rainfall (30 min) were 0.29–1.0, 0.45–0.97, and 0.13–0.72 mg/L for 2, 4, and 8 days of drought, respectively. In contrast to droughts lasting 2 and 4 days, droughts lasting 8 days had lower effluent concentrations at the start of rainfall. A longer dry period is beneficial for nitrification, which empties the adsorption sites in the filler, allowing more to be adsorbed (Rahman et al. 2020). In contrast to short-duration rainfall after 8 days of drought, the initial effluent concentration of each stage in long-duration rainfall remained low. A longer duration of rainfall allows the bioretention system to stay wet longer and mitigate the effects of a prolonged drought (8 days).
Figure 3

effluent concentration after 2 (a), 4, (b), and 8 days (c) drought in a long-duration rainfall period.

Figure 3

effluent concentration after 2 (a), 4, (b), and 8 days (c) drought in a long-duration rainfall period.

Close modal
The initial effluent concentration at each stage was low at the beginning of the long-duration rainfall period and gradually increased with the duration of rainfall (Figure 4). Drought facilitates aerobic nitrification by allowing oxygen to enter the filler more readily. It also makes it easier for the adsorbed in the filler to be transformed into without building up (Rahman et al. 2020). When rain events happen, the filler becomes progressively saturated with runoff, which prevents oxygen from diffusing and prevents partial nitrification; this keeps from building up continuously. During rainfall, the concentration of reached its peak after 2 h. In contrast to other stages, the concentration of E400 during 4 and 8 days of drought steadily dropped throughout the late rainfall period (8–24 h). After 8 h of rainfall, the average effluent concentration of in E400 was 1.01–1.13 mg/L less than that in E0 (P < 0.01), suggesting that denitrification during long-duration rainfall is aided by the deposition of EPDM. At this time, and were converted to N2, which completed the denitrification process.
Figure 4

effluent concentration after 2 (a), 4, (b), and 8 days (c) drought in a long-duration rainfall period.

Figure 4

effluent concentration after 2 (a), 4, (b), and 8 days (c) drought in a long-duration rainfall period.

Close modal
Figure 5

effluent concentration after 2 (a), 4 (b), and 8 days (c) drought in a long-duration rainfall period.

Figure 5

effluent concentration after 2 (a), 4 (b), and 8 days (c) drought in a long-duration rainfall period.

Close modal

The effluent concentration was higher at 30 min in the long-duration rainfall phase than at the later sampling times (Figure 5). This could be because air replaces the pore water in the filler during the dry period, promoting nitrification (Hatt et al. 2007; Rahman et al. 2020). The adsorbed by the filler is continually transformed into , which is washed out in the following rainfall event, resulting in high effluent concentrations and even leaching in the first rainstorm after drought. The efficacy of elimination improved steadily as rainfall duration increased. As the biomass and activity of most microbes rise when precipitation increases, this could be the cause of the overall decrease in effluent concentration (Nielsen & Ball 2015). The recovery rate of removal in each stage following the drought period can be calculated using a standard of 4 mg/L ( removal rate greater than 50%). For reducing the concentration in the effluent below this level under various drought conditions, E400 took the least amount of time and recovered the fastest (2–4 h), followed by E50 and E100 (4–5 h), while E0 recovered the slowest (6–14 h). This could be because the higher concentrations of EPDM input blocked a portion of the channels in the filler, more quickly creating an anaerobic environment which is beneficial to denitrification (Li et al. 2020; Zhou et al. 2023). As a result, the addition of EPDM improved the recovery of removal capacity following drought under long-term rainfall. Throughout long-term rainfall, as the EPDM input concentration increased, the effluent concentration of the bioretention system steadily declined. Subsequent microbiological examination revealed that EPDM application increased the percentage of denitrifying bacteria, with the largest percentage occurring at the stage of the highest EPDM infusion (400 mg/L).

Under long-duration rainfall, the effluent TN concentration when EPDM was present was 0.93–2.76 mg/L (5.8%–21.56%) lower than in E0 (P < 0.01). The primary components of TN in the effluent alter as rainfall occurs. and are the primary elements in the early stages of long-duration rainfalls. As rainfall time increases, the effluent concentration decreases and the concentration of effluent increases; at this point, the primary components of TN in the effluent are and . TN can better demonstrate the effect of EPDM on the nitrogen removal capability of the bioretention system. The use of EPDM improved nitrogen removal in the bioretention system (Figure 6). The effluent concentration in E400 fell significantly during the early period of rainfall (30 min–6 h), while the effluent concentration declined significantly during the later period of rainfall (6–24 h). E400 had considerably lower effluent TN concentrations than E0 during rainfall (P < 0.01). This suggests that high EPDM concentrations (400 mg/L) in runoff stormwater enhance nitrogen removal from the bioretention system. The TN removal impact of the bioretention system was associated with the EPDM input concentration under long-duration rainstorm simulation; only the first 2 h of observation did not exhibit this pattern, which was compatible with the observations under short-duration rainfall.
Figure 6

TN effluent concentration after 2 (a), 4 (b), and 8 days (c) drought in a long-duration rainfall period.

Figure 6

TN effluent concentration after 2 (a), 4 (b), and 8 days (c) drought in a long-duration rainfall period.

Close modal

Influence of EPDM input on microbial community diversity

The Goods value represents the probability that a new species will not be detected in a sample, with a greater value indicating a lesser possibility. The Goods values in this experiment were all greater than 0.997, indicating that the sequencing coverage represented the actual population. The Chao1 index is commonly used to assess microbial community richness. E0 had a higher Chao1 index than E50, E100, and E400, showing that EPDM input reduced the number of microorganisms in the bioretention system (Table 2). Both the Shannon and Simpson indexes indicate microbial community diversity; higher Shannon and lower Simpson indexes suggest greater diversity. These two sets of data showed that the addition of EPDM reduced the microbial diversity of the bioretention system.

Table 2

Diversity and richness index

SampleChao1SimpsonShannonGoods-coverage
E0 1,493.3 0.0531 4.51 0.9973 
E50 1,429.5 0.0559 4.30 0.9971 
E100 1,464.4 0.0623 4.27 0.9973 
E400 1,486.4 0.103 4.09 0.9974 
SampleChao1SimpsonShannonGoods-coverage
E0 1,493.3 0.0531 4.51 0.9973 
E50 1,429.5 0.0559 4.30 0.9971 
E100 1,464.4 0.0623 4.27 0.9973 
E400 1,486.4 0.103 4.09 0.9974 

Figure 7 shows the species diversity of the bioretention systems at the OTU level. There were 902 common OTUs; there were 155, 108, 137, and 143 exclusive OTUs in E0, E50, E100, and E400, respectively, further indicating that species diversity in the bioretention system was decreased by the addition of EPDM.
Figure 7

Venn diagram of microorganisms at the OTU classification level.

Figure 7

Venn diagram of microorganisms at the OTU classification level.

Close modal

Influence of EPDM input on microbial community composition

The phylum and genus levels of the microbial community were analyzed to gain a deeper understanding of the variety and abundance of microorganisms in the bioretention systems. Figure 8(a) shows the phylum-level composition of the microbial community. Patescibacteria and Proteobacteria had the highest average relative abundances at 41.8 and 39.2%, respectively. Actinobacteria (8.73%), Bacteroidetes (3.07%), Verrucomicrobia (1.44%), Acidobacteria (1.07%), and Firmicutes (1.05%) were the next most abundant groups. Proteobacteria included a variety of nitrifying bacteria and denitrifying bacteria. Proteobacteria were more abundant in E100 and E400 compared to E0, but less so in E50. Low concentrations of EPDM reduced the relative abundance of Proteobacteria, whereas high concentrations had the opposite effect. Firmicutes can transform and are positively associated with heterotrophic denitrification and denitrification enzyme activity (Jia et al. 2019). In comparison to E0, Firmicutes in E50 and E400 increased from 0.63 to 1.31 and 1.70%, respectively. Elusimicrobia is responsible for denitrification, and the addition of EPDM boosted its abundance (Cai et al. 2020). The addition of EPDM reduced the relative abundance of Bacteroidetes and Chlamydiae.
Figure 8

Bacterial community composition at the phylum (a) and genus (b) level.

Figure 8

Bacterial community composition at the phylum (a) and genus (b) level.

Close modal

At the genus level, Dechloromonas, Mycobacterium, Pseudarthrobacter, Ramlibacter, Zoogloea, Nocardia, and Rhizobacter were the main genera in the bioretention system (Figure 8(b)). EPDM addition considerably boosted the relative abundance of Dechloromonas (5.54–8.69%), making it the dominant genus in E100 and E400. Dechloromonas is a heterotrophic denitrifying bacterium, and its relative abundance can increase denitrification capacity. Mycobacterium is a heterotrophic nitrifying and aerobic denitrifying bacterium that can participate in both processes in aerobic environments (Moura et al. 2018). The relative abundance of Mycobacterium, the dominant genus in E50, increased initially before subsequently decreasing as EPDM concentration increased. This could be because the high EPDM input clogs the pores of the bioretention system, preventing oxygen transport into the filler. The increased relative abundance of Mycobacterium in E50 may explain why this system removed more efficiently than the other systems. Other denitrifiers, including Zoogloea (0.53–1.63%), Ramlibacter (048–0.84%), and Aeromonas (0–2.3%), were similarly enhanced by the addition of EPDM (Lin et al. 2019; Wang et al. 2022a; Hu et al. 2023), whereas the relative abundance of Pseudarthrobacter and Nocardia decreased. The dominant genus of E0 was Pseudarthrobacter (2.99%), and the addition of EPDM reduced its relative abundance by 1.22–1.88%. According to Dhakal et al. (2019), Nocardia is a common aerobic bacteria that can take part in denitrification in aerobic environments. With an increase in EPDM input concentration, the relative abundance of Nocardia declined progressively; its relative abundance in E50, E100, and E400 fell by 1.99, 1.15, and 0.73%, respectively, in comparison to E0. This could be because EPDM introduces an anaerobic environment into the bioretention system, reducing the relative number of aerobic bacteria (Zhou et al. 2023). Conversely, some anaerobic denitrifying bacteria may flourish in this environment, increasing the capacity of the system to denitrify. Denitrifying bacteria with relative abundances more than 1% were found in E50, E100, and E400 at total relative abundances of 9.62, 10.11, and 12.63%, respectively, significantly higher than those seen in E0 (2.37%).

Two distinct rainfall conditions were investigated to study the impact of rubber EPDM particles on bioretention systems. Rubber particles were shown to increase the adsorption capacity of filler, produce an anaerobic environment, and give microorganisms a substrate to consume, all of which improved the ability of the bioretention system to remove nitrogen. In addition, rubber particles lessened the detrimental impacts of drought on the bioretention system and accelerated the recovery of nitrate removal capacity. Rubber particles also changed the structural composition of the microbial community and decreased its diversity. Following rubber particle input, denitrifiers such as Dechloromonas, Ramlibacter, and Zoogloea increased in relative abundance, whereas Pseudarthrobacter and Nocardia decreased. Overall, proper accumulation of captured rubber particles in the bioretention system improved nitrogen removal and drought adaptability. However, as the accumulation of MPs frequently influences the hydrological consequences of the system, the effects of the input of MPs on the performance of the bioretention system should be more comprehensively examined in future research.

This work was supported by the National Natural Science Foundation of China (No. 52070152) and the Qinghai Province Central Government Guides Local Science and Technology Development Fund Projects (No. 2022ZY039). The authors also appreciate the assistance provided by Fang Song at the Instrument Analysis Center of Xi'an University of Architecture and Technology (China).

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

The authors declare there is no conflict.

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