Next Article in Journal
Detecting Patterns of Changes in River Water Temperature in Poland
Previous Article in Journal
Influencing Factors Analysis of Taiwan Eutrophicated Reservoirs
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Nitrogen Removal Ability and Characteristics of the Laboratory-Scale Tidal Flow Constructed Wetlands for Treating Ammonium-Nitrogen Contaminated Groundwater

1
Integrated Graduate School of Medicine, Engineering and Agricultural Sciences, University of Yamanashi, Yamanashi 400-8511, Japan
2
Graduate Faculty of Interdisciplinary Research, University of Yamanashi, Yamanashi 400-8511, Japan
*
Author to whom correspondence should be addressed.
Water 2020, 12(5), 1326; https://doi.org/10.3390/w12051326
Submission received: 17 April 2020 / Revised: 2 May 2020 / Accepted: 3 May 2020 / Published: 7 May 2020
(This article belongs to the Section Wastewater Treatment and Reuse)

Abstract

:
Constructed wetlands (CWs) are an effective technology to remove organic compounds and nitrogen (N) from wastewaters and contaminated environmental waters. However, the feasibility of CWs for ammonium-N (NH4+-N)-contaminated groundwater treatment is unclear. In this study, zeolite-based laboratory-scale CW was operated as a tidal flow CW with a cycle consisting of 21-h flooded and 3-h rest, and used to treat NH4+-N (30 mg L−1) contaminated groundwater. In addition to NH4+-N, nitrite (NO2-N) and nitrate (NO3-N) were also not detected in the effluents from the tidal flow CW. The N removal constant remained high for a longer period of time compared to the continuous flow CW. The higher and more sustainable N removal of the tidal flow CW was due to the in-situ biological regeneration of zeolite NH4+-N adsorption capacity. Vegetation of common reeds in tidal flow zeolite-based CW enhanced nitrification and heterotrophic denitrification activities, and increased the functional genes of nitrification (AOB-amoA and nxrA) and denitrification (narG, nirK, nirS, and nosZ) by 2‒3 orders of magnitude, compared to CW without vegetation. The results suggest that the combination of zeolite substrate, tidal flow, and vegetation is key for the highly efficient and sustainable N removal from NH4+-N contaminated groundwater.

Graphical Abstract

1. Introduction

Groundwater is a major source of drinking water supply, with 50% of drinking water supplies in the world based on groundwater [1]. However, groundwater can often be contaminated with ammonium-nitrogen (NH4+-N). Heavy NH4+-N contamination of groundwater has been reported in certain parts of Australia (up to 120 mg NH4+-N L−1) [2], Vietnam (up to 69.8 mg NH4+-N L−1) [3], China (up to 10 mg NH4+-N L−1) [4], Central India (up to 57 mg NH4+-N L−1) [5], and the Kathmandu Valley of Nepal (up to 57.3 mg NH4+-N L−1) [6]. Excess NH4+-N in groundwater makes it undrinkable due to bad taste and odor, reduces chlorine disinfection, and increases the possibility of pathogenic contamination during water distribution. Hence, reducing NH4+-N concentration of the groundwater prior to the conventional treatment and distribution of drinking water is essential.
The in-situ permeable reactive barrier (PRB) has been recognized as an effective technology for removing NH4+-N from groundwater [4,7,8]. However, it requires large-scale construction and incurs a high initial cost [9]. Hence, alternative NH4+-N removal techniques requiring minimum energy and low operational/construction cost are needed, particularly in developing countries and small rural communities.
Constructed wetlands (CWs) are engineered wetland systems designed to stimulate the natural processes based on interactions among substrate media, microorganisms, and plants for the treatment of wastewaters. CWs have the advantages of low energy consumption and low costs, reduced and easy maintenance, are environmentally friendly, and have a high potential for application in developing countries and small rural communities [10,11,12]. Originally, CWs were designed and operated for the removal of organic matter, suspended solids, nitrogen, and phosphorus from wastewater [13,14,15]. CWs have also been applied for remediation of contaminated groundwater with nitrate-nitrogen (NO3-N) [16], chlorinated solvents [17,18], benzene, and methyl-tert-butyl-ester (MTBE) [19,20]. However, there are very few studies investigating NH4+-N removal from contaminated groundwater by CWs. Seeger et al. [21] reported the performance of a CW for treating a groundwater multiple-contaminated with 20 mg L−1 benzene (99% removal), 3.7 mg L−1 MTBE (82% removal), and 45 mg L−1 NH4+-N (54% removal). The potential of CWs to remove NH4+-N from contaminated groundwater, and the process for highly efficient and sustainable NH4+-N removal, are still unclear.
In natural freshwater sediments and CWs, microorganism-mediated nitrification and denitrification are the major pathways for NH4+-N removal [22,23,24]. Nitrification and denitrification require aerobic and anaerobic conditions, respectively, which makes it difficult to promote both nitrification and denitrification in a single CW [25]. To address this issue, tidal flow CWs operated with a repeated cycle consisting of fill, contact (flooded), drain, and rest period have recently attracted attention [26]. During the drain and rest period, air can be drawn into substrate media from the atmosphere, following which substrate media can have aerobic conditions. During the flooded period, air can be released from the media and consumed by microbial reactions, resulting in anaerobic conditions in the media and water phase. Tidal flow CWs thus can provide appropriate aerobic/anaerobic conditions for both nitrification and denitrification processes [27,28]. In addition to the flow type, substrate media can also affect NH4+-N removal in CWs. Zeolite, with high porosity and high cation exchange capacity (especially for NH4+-N), has been recognized as an ideal substrate material in CWs [29,30,31]. For sustainable and effective use, regeneration of zeolite adsorbed with NH4+-N is necessary. Tidal flow CWs enable the in-situ biological regeneration of zeolites due to the NH4+-N removal via stimulated nitrification/denitrification. If this hypothesis is verified, the tidal flow and zeolite-based CWs will offer a highly efficient and sustainable way to remove NH4+-N from the contaminated groundwater. However, to the best of our knowledge, there are no studies clearly showing the potential to remove NH4+-N from contaminated groundwater by tidal flow CWs.
This study investigates the removal efficiency of NH4+-N from contaminated groundwater by a tidal flow, zeolite-based CW. Laboratory-scale tidal flow zeolite-based CWs were set up and used to treat synthetic groundwater contaminated with 30 mg L−1 of NH4+-N. The advantages of nitrogen (N) removal, including NH4+-N adsorption on zeolite, nitrification and denitrification by the tidal flow CW over continuous flow CW, and the effect of vegetation on these N removal functions in CWs, are discussed below.

2. Materials and Methods

2.1. Synthetic NH4+-N Contaminated Groundwater

A synthetic groundwater containing 30 mg L−1 of NH4+-N was prepared and used in this study. The composition of synthetic groundwater included: Na2HPO4·12H2O (104.5 mg L−1), KH2PO4 (17 mg L−1), NaCl (37.5 mg L−1), KCl (17.5 mg L−1), CaCl2·2H2O (23 mg L−1), MgSO4·7H2O (25.6 mg L−1), NaHCO3 (353 mg L−1), and (NH4)2SO4 (141.6 mg L−1). The constituents and their concentrations in the synthetic groundwater were determined on the basis of the chemical composition of NH4+-N-contaminated groundwater sampled from the Kathmandu Valley, Nepal [32]. In addition, the NO3-N contaminated groundwater with 30 mg L−1 of NO3-N (182.12 mg of NaNO3 per L, instead of (NH4)2SO4 in the above NH4+-N contaminated groundwater) was prepared and used in the denitrification experiment.

2.2. Experimental Setup and Conditions

2.2.1. N Removal from NH4+-N Contaminated Groundwater by Tidal Flow CWs and Continuous Flow CWs

Here, we investigated the effect of the flow type, i.e., tidal and continuous flows, on the N removal abilities of CWs. Two types of laboratory-scale CWs: (i) tidal flow, and (ii) continuous flow, were set up in duplicate inside a greenhouse without artificial lights and temperature controllers at the University of Yamanashi, Kofu, Yamanashi, Japan. For each CW, a plastic column (150 mm diameter × 650 mm height) with an outflow port at the bottom was used. The columns were filled with pumice rock (grain size of about 10 mm) from bottom to 20 mm height, and zeolite (grain size of 3–5 mm), from 20 to 600 mm height. Common reed seedlings (Phragmites australis; 20 numbers; 700–900 mm tall) were planted in each CW. The side surface parts of the CWs were wrapped with silver color plastic sheets to block sunlight. The configurations of the two types of CW are shown in Figure 1. The CWs were set up at the end of July, and subjected to a 2-week start-up period for the inoculation and colonization of microorganisms into CW. During the start-up period, each CW was operated in a tidal flow (21-h flooded and 3-h rest) for 2 weeks. In the first week, each CW was filled with 4 L of synthetic groundwater mixed with activated sludge (100:1, v/v). In the following week, each CW was filled with 4 L of synthetic groundwater. The activated sludge was collected from the activated sludge settling tank at a conventional municipal wastewater treatment plant in Kofu, Yamanashi, Japan. Following the start-up period, two CWs were operated as tidal flow CWs (21-h flooded with 4 L of synthetic groundwater, and 3-h rest). Tidal flow (inflow and outflow) was controlled by a pump (Masterflex L/S; Cole-Parmer, IL, US) with a timer. The other two CWs were operated as continuous flow CWs (4 L d−1) with a pump, as a control experiment. The N removal experiments using the tidal flow and continuous flow CWs continued for 105 days from mid-August to late November. Influent and effluent samples were collected from all CWs, and their NH4+-N, NO2-N, and NO3-N concentrations were determined.
A flowchart of this experiment is shown in Figure S1. During the experimental period, N removal potential of zeolite materials in both CWs was monitored every two weeks, as follows. Zeolite materials (100 g) were collected from each CW at 150 mm depth sampling point (Figure 1) and transferred into a 200 mL flask. The flasks were filled with 100 mL of synthetic NH4+-N contaminated groundwater (30 mg L−1) and incubated at 120 rpm and 25 °C for 24 h. The groundwater samples were collected every few hours from flasks; and their NH4+-N, NO2-N, and NO3-N concentrations were determined. The results were used for the calculation of the kinetic constant of NH4+-N adsorption.

2.2.2. Evaluation of Vegetation Effects on N Removal Ability in the Tidal Flow CW

We examined the effects of vegetation on N removal ability and characteristics in the tidal flow CW. A flowchart of this experiment is shown in Figure S1. The smaller-scale tidal flow CWs with and without vegetation were prepared with four 1 L-capacity plastic beakers (100 mm diameter, 140 mm height; Figure 1) with a drain port at the bottom. The beakers were filled with pumice rock (grain size of about 10 mm) from bottom to 20 mm height, and zeolite (grain size of 3–5 mm), from 20 to 130 mm height. Common reed seedlings (10 numbers; 500–600 mm tall) were planted in each of the two CWs (CWs with vegetation). The other two CWs were not vegetated with common reed seedlings (CWs without vegetation). To collect water samples, a 10-mm diameter sampling port was made at 100 mm depth from the surface level. The side surface parts of the CWs were wrapped with silver color plastic sheets to block sunlight. At first, a 2-week start-up period was set to inoculate and colonize microorganisms into substrate media in CWs. During the start-up period, each CW was operated in the tidal flow (21-h flooded and 3-h rest). In the first week, each CW was filled with 0.5 L of synthetic groundwater mixed with activated sludge (100:1, v/v). In the following week, each CW was filled with 0.5 L of synthetic groundwater. Following the start-up period, four CWs were operated in a tidal flow (21-h flooded with 0.5 L of synthetic groundwater, and 3-h rest) for 60 days, from the first of September to the end of October. The tidal flow (inflow and outflow) was controlled by a pump (Masterflex) with a timer. On the 60th day, water samples were collected every few hours after filling from the sampling port of all CWs, and their NH4+-N, NO2-N, and NO3-N concentrations were determined. Furthermore, zeolite materials were collected from the CWs, both with and without vegetation, in order to analyze bacterial community.

2.2.3. Denitrification Experiments Using Common Reed Roots from Tidal Flow CWs

The effect of common reed roots on denitrification in CWs was examined. A flowchart of this experiment is shown in Figure S1. Zeolite (100 g) was collected from the tidal flow CWs with and without vegetation on the 60th day (Section 2.2.2) and transferred into a 100 mL vial, and 5 g (wet) of common reed roots was collected from the CWs with vegetation and added to the vial. Synthetic NO3-N contaminated groundwater (50 mL), containing 30 mg of NO3-N L−1, was added to each vial. The vials with and without common reed roots were prepared in triplicate. All vials were purged with nitrogen (N2) gas for 2 min to create anaerobic conditions, and the vials were closed with a butyl-rubber and aluminum cap. All vials were incubated at 120 rpm and 25 °C for 24 h. Water samples were collected from the vials every few hours, and their NH4+-N, NO2-N, and NO3-N concentrations were determined.

2.3. Analysis of Samples

Water samples were filtered through a membrane filter (polypropylene, pore size = 0.45 μm; Membrane Solutions Co. Ltd., Minato-ku, Japan). N concentrations in the water samples were measured in accordance with the Standard Methods for the Examination of Water and Wastewater [33]. Concentrations of NH4+-N, NO2-N, and NO3-N were determined by indophenol method, N-(1-naphthyl) ethylenediamine method, and ultraviolet spectrophotometric screening method, respectively, with a spectrophotometer (UVmini-1280; Shimadzu Co. Ltd., Japan).
N removal efficiency in the tidal flow and continuous flow zeolite-based CWs (Section 2.2.1) was calculated using Equation (1).
N   r e m o v a l   e f f i c i e n c y = ( 1 E f f l u e n t N I n f l u e n t N ) × 100 %
where Influent-N and Effluent-N represent the sum of NH4+-N, NO2-N, and NO3-N in influent and effluent, respectively.
First-order NH4+-N removal rate in N removal potential experiment (Section 2.2.1) was calculated as Equation (2).
F i r s t o r d e r   r e m o v a l   r a t e = ( L n   C 1 L n   C 2 t 1 t 2 )
where C1 and C2 are the concentrations of NH4+-N at time t1 and t2, respectively.

2.4. Microbial Community Analyses

A flowchart of microbial community analyses is shown in Figure S1. To detach the microorganisms from the zeolite substrates, zeolite (2 g) was weighed and placed in a 15 mL tube. Following this, each sample was vortexed for 1 min with 4 mL of phosphate buffer saline (1.44 g L−1 NaH2PO4, 0.24 g L−1 K2HPO4, 8 g L−1 NaCl, 0.2 g L−1 KCl; pH 7.4), and shaken for 1 min. The suspension was passed through a membrane filter (pore size 0.2 μm; mixed cellulose esters membrane; Merck Millipore). The total DNA of the microorganisms on the membrane filter was extracted by using the Nucleo-spin soil kit (MACHEREY-NAGEL GmbH, Duren, Germany), according to the manufacturer’s protocol. Bacterial 16S rRNA and the ammonia monooxygenase (amoA) of ammonia-oxidizing bacteria (AOB), nitrite oxidoreductase (nxrA), nitrate reductase (narG), nitrite reductase (nirK and nirS), and nitrous oxide reductase (nosZ) genes were quantified by real-time quantitative polymerase chain reaction (RT-qPCR) in a Thermal Cycler Dice RealTime System II (Takara Bio Inc., Shiga, Japan). Each 25 μL reaction mixture contained 12.5 μL of SYBR Premix Ex Taq (TaKaRa Bio), 0.5 μM of each forward and reverse primer (Table S1), 2 μL of template DNA, and 9.5 μL of deionized H2O. The qPCR reaction conditions were as follows: initial denaturation by pre-heating at 95 °C for 30 s, 40 cycles at 98 °C for 5 s, annealing at the specified temperatures (which varied with primer type [34,35,36,37,38,39,40]; Table S1) for 50 s, and an extension at 72 °C for 1 min, followed by a dissociation stage (95 °C for 15 s, 60 °C for 30 s, and 95 °C for 15 s). A standard curve was plotted for each gene using a synthetic plasmid carrying the target sequence. All qPCRs were conducted in triplicate, and the average gene abundances in the substrates (copies g−1 of the zeolite substrate) were calculated for each CW.
The extracted bacterial DNA samples were also subjected to Illumina MiSeq 16S rRNA gene sequencing (Illumina, San Diego, CA, USA). The V4 region of the 16S rRNA gene was amplified by PCR with the universal primers 515F (5′-Seq A-TGT-GCC-AGC-MGC-CGC-GGT-AA-3′) and 806R (5′-Seq B-GGA-CTA-CHV-GGG-TWT-CTA-AT-3′). PCR amplicons were sequenced in an Illumina MiSeq Sequencer (Illumina, San Diego, CA, USA). Sequence reads were analyzed with Sickle v. 1.33 [41], Fastx Toolkit v. 0.0.13.2 [42], FLASH v. 1.2.10 [43], and USEARCH v. 8.0.1623_i86linux64 [44]. In these analyses, contigs were formed, and error sequences and chimeras were removed. All operational taxonomic units (OTUs) were clustered at a cutoff of 0.03 (97% similarity). Only phylogenetic groups accounting for more than 1% relative abundance in at least one of the datasets were listed (≤1% were summed as “others”). Sequencing and sequence-read analyses were conducted at FASMAC (Kanagawa, Japan).

2.5. Statistical Analysis

The mean and standard deviation (SD) of the physicochemical parameters and nitrogen concentrations were calculated. Gene abundances (±SD) in the zeolite substrate of each CW were also calculated. A t-test was used to compare the pairs of groups for significant differences (p < 0.05). The data were processed in SPSS v. 20 (IBM Corp., Armonk, NY, USA).

3. Results

3.1. N Removal from NH4+-N Contaminated Groundwater by Tidal Flow and Continuous Flow CWs

The changes in N concentrations in influent and effluent, and the N removal efficiency of the tidal flow and continuous flow CWs over 105 days are shown in Figure 2. In the tidal flow CWs, NH4+-N and NO2-N were not detected in the effluent throughout the experiment period. The NO3-N concentration in the effluent ranged between 0.6 to 4.8 mg L−1. The N removal efficiency of the tidal flow CW was 83.9%–98.2%. In the continuous flow CW, NH4+-N was not detected in the effluent for the first 21 days, and its concentration increased during the 21‒63-day period, ranging between 6.4 to 7.9 mg L−1. The NO2-N was not detected in the effluent throughout the experiment period. The NO3-N concentration in the effluent was between 0.4 to 3.5 mg L−1 over 105 days. The N removal efficiency of the continuous flow CW was 67.6%–97.2%. After the 21st day, NH4+-N concentration in the effluent was significantly lower (p < 0.05) in the tidal flow CW, compared to the continuous flow CW, and the N removal by the tidal flow CW was significantly higher (p < 0.05) than that by the continuous flow CW.
The results of the N removal potential of zeolite-microbe association of both CWs are shown in Figure 3. The NH4+-N removal was due to adsorption on zeolite and nitrification by microorganisms. The results clearly show a higher N removal by zeolite-microbe association in the tidal flow CW, compared to that in the continuous flow CW. The changes in NH4+-N concentration during the first 2–3 h (Figure 3) were fitted to the first-order kinetic model (Figure S2). Because NO2-N and NO3-N were not generated during the first 2–3 h, NH4+-N must have been removed by adsorption on zeolite rather than nitrification (NH4+-N oxidation to NO2-N and NO3-N). Thus, the first-order NH4+-N removal rate can be considered as the NH4+-N adsorption rate on zeolite. The first-order NH4+-N adsorption rates are summarized in Figure 4. The NH4+-N adsorption kinetic constants of zeolite-microbe in both the tidal flow and continuous flow CWs decreased gradually. However, the NH4+-N adsorption rates of the tidal flow CWs were higher than those of the continuous flow CWs.

3.2. Evaluation of Vegetation Effects on N Removal Ability in the Tidal Flow CWs

The change of N concentrations over time in the tidal flow CWs with and without vegetation after 60 days of operation are shown in Figure 5. In the tidal flow CW with vegetation, NH4+-N concentration rapidly and completely decreased within 3 h. The NO3-N concentration rapidly increased for 2 h, and then gradually and completely decreased within 18 h. The NO2-N concentration was not detected for 24 h. In the tidal flow CW without vegetation, NH4+-N concentration decreased rapidly and completely within 9 h. The NO2-N and NO3-N concentrations increased for 3 h, following which NO2-N concentration decreased; however, the NO3-N concentration increased gradually for 24 h. The difference in the dynamics of NO3-N concentration between CWs with and without vegetation might be due to the occurrence of denitrification in CWs. Previous studies have shown that the contribution of plant uptake to N removal in CWs is lesser than biological nitrification/denitrification [23,45].

3.3. Denitrification Experiments Using Common Reed Roots from Tidal Flow CWs

The changes in N concentrations in the effluent of denitrification experiments in zeolite-microbe with common reed roots and zeolite-microbe without roots are shown in Figure 6. In zeolite-microbe with roots, NO3-N concentration decreased completely within 24 h, whereas it decreased slightly, from 30 to 24 mg L−1, in zeolite-microbe without roots. The results suggest that common reed roots supported denitrification.

3.4. Characterization of Microbial Communities in Tidal Flow CWs with and without Vegetation

The abundances of bacterial 16S rRNA and AOB-amoA, nxrA, narG, nirK, nirS, and nosZ genes on the 60th day of tidal flow CWs with and without vegetation are shown in Table 1. The abundance of 16S rRNA gene, nitrifying (AOB-amoA and nxrA), and denitrifying (narG, nirK, nirS, and nosZ) functional genes were about two‒three orders of magnitude higher in the tidal flow CW with vegetation than that without vegetation.
The bacterial community structures of the tidal flow CWs with and without vegetation at phylum, class, and order levels are shown in Figure 7. At phylum level, Proteobacteria (45.7% of all phyla), Bacteroidetes (14.4%), and Planctomycetes (6.5%) were dominant in the tidal flow CW with vegetation; Proteobacteria (49.2%), Bacteroidetes (25.8%), and Verrucomicrobia (5.8%) were dominant in the tidal flow CW without vegetation. At class level, Alphaproteobacteria (19.6% of all classes), Betaproteobacteria (10.8%), Gammaproteobacteria (10.1%), and Saprospirae (6.9%) were dominant in the tidal flow CW with vegetation; Betaproteobacteria (27.0%), Saprospirae (21.0%), Alphaproteobacteria (14.4%), and Gammaproteobacteria (5.8%) in the tidal flow CW without vegetation.
Based on the bacterial order, the dominant groups were Xanthomonadales (7.7% of all orders), Burkholderiales (7.5%), Saprospirales (6.9%), and Rhizobiales (5.9%) in the CW with vegetation, and Saprospirales (21.0%), Burkholderiales (15.1%), Rhodocyclales (6.3%), and Rhizobiales (5.6%) in the CW without vegetation. The relative abundances of Nitrosomonadales (AOB) were 1.2% and 4.9% in the CWs with and without vegetation, respectively. Further, the relative abundances of Nitrospirales (nitrite-oxidizing bacteria; NOB) were 3.3% and 2.5% in the CWs with and without vegetation, respectively. The bacterial community structure, and the relative abundances of Nitrosomonadales and Nitrospirales in the tidal flow CWs with and without vegetation were similar.

4. Discussion

In this study, the ability and characteristics of zeolite-based tidal flow CWs to remove N from NH4+-N contaminated groundwater were examined. The tidal flow CW was operated at a cycle consisting of 21-h flooded and 3-h rest, and removed NH4+-N completely and repeatedly from NH4+-N contaminated groundwater (30 mg L−1) over 105 days (Figure 2). In addition to NH4+-N, NO2-N and NO3-N were also not detected in the effluents from the tidal flow CW (Figure 2). The highly efficient N removal from NH4+-N contaminated groundwater and higher first-order kinetic constant for the NH4+-N adsorption remained high for a longer period of time, compared to the continuous flow CWs (Figure 2 and Figure 4). Although zeolite has a high ability to remove NH4+-N, there is a limitation to its adsorption capacity [23]. For sustainable NH4+-N removal by zeolite, several methods for zeolite regeneration by brine solution treatment [46], NaOH treatment [47], electrochemical treatment [48], and biological nitrification treatment [49,50] have been reported. Tidal flow CWs have a higher atmospheric air supply and enhanced nitrification and denitrification, compared to continuous flow CWs [51,52]. Oxygen can be rapidly replenished into CW beds by the rhythmic tidal flow, and then dissolved oxygen (DO) is consumed by microbial activities for organic carbon degradation and nitrification along the depth [53,54] and contacting time [55,56]. After that, CW beds can change into anaerobic conditions. Unfortunately, DO concentration and oxidation-reduction potential were not monitored in this study. Enhanced nitrification and denitrification might have resulted in the in-situ biological regeneration of zeolite in the tidal flow CWs. Therefore, the tidal flow zeolite-based CW could remove N sustainably from NH4+-N contaminated groundwater.
In the zeolite-based tidal flow CWs, vegetation with common reeds accelerated complete nitrification without accumulation of NO2-N in the CW with vegetation, compared to the CW without vegetation (Figure 5). Aquatic plants can release oxygen from roots and create aerobic conditions around roots and rhizosphere, increasing the activity and population of nitrifying bacteria [57]. In this study, the abundances of nitrifying functional genes (AOB-amoA and nxrA genes) were also two orders of magnitude higher in the CW with vegetation than those in the CW without vegetation (Table 1).
In addition, vegetation with common reeds significantly stimulated denitrification in the tidal flow CW. The decrease in NO3-N concentration was significantly higher in the CW with vegetation and in denitrification experimental vial with roots than in the CW without vegetation and denitrification vial without roots, respectively (Figure 5 and Figure 6). Aquatic plants, including common reeds, can release not only oxygen, but also organic compounds from roots into the rhizosphere [45,58]. The released organic compounds from plants can act as electron donors for heterotrophic denitrification bacteria, stimulating their activity and growth. Previous studies revealed the enhanced denitrification and higher abundance of denitrification bacteria in the CW [59] and sediment [60] with vegetation. In this study, denitrification ability and denitrifying functional genes (narG, nirK, nirS, and nosZ genes) were increased by vegetation with common reeds. The denitrification-stimulating effects of vegetation will be important and effective in N removal from contaminated groundwater lacking organic compounds. Although the vegetation in the CW increased the abundances of total bacteria, nitrification bacteria, and denitrification bacteria by two‒three orders of magnitude compared to the CW without vegetation, the vegetation could not dramatically change the bacterial community compositions in the CWs. Proteobacteria and Bacteroidetes are generally the most dominant phyla in CWs [61,62,63]. In this study, the two phyla were dominant in both tidal flow CWs, with and without vegetation (Figure 7). Nitrosomonadales-like AOB and Nitrospirales-like NOB were also detected in both CWs, with and without vegetation, and might be one of key nitrification bacteria in the CWs.
Denitrification ability is widely spread in diverse phylogenetic groups. Various order of bacteria, like Rhizobiales (Rhizobiaceae group) and Rhodocyclales (genus; Thauera and Dechloromonas) have been found to show denitrification [63,64]. These were present in the CWs in this study. In addition, Planctomycetes were also present in the investigated CWs. However, their contribution to N removal as anaerobic ammonium oxidation (anammox) remained unclear.
CWs have been applied for wastewater treatment [13,14,15] and remediation of contaminated groundwater with NO3-N, chlorinated solvents, benzene, and MTBE [16,17,20]. This study is the first to demonstrate that CWs have potential to remove N from NH4+-N contaminated groundwater. In particular, our results found that the combination of zeolite substrate, tidal flow, and vegetation in CW is important for highly efficient and sustainable N removal. Pilot-scale tidal flow CWs have been operated as pump- or siphon-driven for treatment of various wastewaters [26,62,65,66]. Like these studies, it will be necessary to evaluate the performance of tidal flow CW treating NH4+-N contaminated groundwater in a pilot- or full-scale system.

5. Conclusions

This study clearly demonstrated that zeolite-based tidal flow (21-h flooded and 3-h rest) CWs are highly efficient in removing total N from NH4+-N (30 mg L−1) contaminated groundwater in 105 days. In contrast, continuous flow CWs did not retain the higher rate of N removal from the NH4+-N contaminated groundwater. The highly efficient and sustainable N removal in tidal flow CWs might be due to the regeneration of zeolite NH4+-N adsorption capacity. The presence of vegetation (common reed) in the CWs enhanced nitrification and heterotrophic denitrification and increased the populations of nitrifying and denitrifying bacteria. These results strongly indicate that the major mechanism of the efficient and stable N removal in the zeolite-based tidal flow CW was a two-step process: NH4+-N was initially adsorbed onto zeolite and, subsequently, the adsorbed NH4+-N was converted to NO2-N and NO3-N, and finally transferred to the atmosphere as N2 by enhanced nitrification and denitrification in CWs. The combination of zeolite substrate, tidal flow, and vegetation in CW should thus provide highly efficient and sustainable N removal. The knowledge obtained from this study will be helpful for the practical application of CWs to the treatment of NH4+-N contaminated groundwater.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4441/12/5/1326/s1, Figure S1. The experimental flowcharts of Section 2.2.1 (a), Section 2.2.2 (b), Section 2.2.3 (c), and Section 2.4 (d); Table S1. Target genes for qPCR analysis, primers and sequences, amplification sizes, and annealing temperatures; Figure S2. First-order kinetic models for the decrease in NH4+-N concentrations during the first 2‒3 hours of N removal potential experiment in zeolite-microbe association of (a) tidal flow CWs, and (b) continuous flow CWs.

Author Contributions

All authors contributed to the study design. A.K.M. and T.T. performed the experiments. A.K.M. interpreted the results and prepared a draft of the manuscript. T.T. supervised the experiments, checked and interpreted the results, and corrected the draft of the manuscript. K.M. discussed the results and critically reviewed the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors would like to thank Otsuka, Kaneko, Yamada, and Koga for their support in the experiments and lab analysis. The authors are also grateful to the editor and anonymous peer reviewers for their valuable input.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Smith, M.; Cross, K.; Paden, M.; Laban, P. Spring: Managing Groundwater Sustainably; Smith, M., Cross, K., Paden, M., Laban, P., Eds.; IUCN: Gland, Switzerland, 2016. [Google Scholar] [CrossRef] [Green Version]
  2. Patterson, B.M.; Grassi, M.E.; Davis, G.B.; Robertson, B.S.; McKinley, A.J. Use of polymer mats in series for sequential reactive barrier remediation of ammonium-contaminated groundwater: Laboratory column evaluation. Environ. Sci. Technol. 2002, 36, 3439–3445. [Google Scholar] [CrossRef] [PubMed]
  3. Lindenbaum, J. Identification of Sources of Ammonium in Groundwater Using Stable Nitrogen and Boron Isotopes in Nam Du, Hanoi. Master’s Thesis, Lund University, Lund, Sweden, 2012. [Google Scholar]
  4. Huang, G.; Liu, F.; Yang, Y.; Kong, X.; Li, S.; Zhang, Y.; Cao, D. Ammonium-nitrogen-contaminated groundwater remediation by a sequential three-zone permeable reactive barrier (multibarrier) with oxygen-releasing compound (ORC)/clinoptilolite/spongy iron: Column studies. Environ. Sci. Pollut. Res. 2015, 22, 3705–3714. [Google Scholar] [CrossRef] [PubMed]
  5. Choudhary, S.; Ramteke, S.; Rajhans, K.P.; Sahu, P.K.; Chakradhari, S.; Patel, K.S.; Matini, L. Assessment of Groundwater Quality in Central India. J. Water Resour. Prot. 2016, 8, 12–19. [Google Scholar] [CrossRef] [Green Version]
  6. Shakya, B.M.; Nakamura, T.; Kamei, T.; Shrestha, S.D.; Nishida, K. Seasonal groundwater quality status and nitrogen contamination in the shallow aquifer system of the Kathmandu Valley, Nepal. Water 2019, 11, 2184. [Google Scholar] [CrossRef] [Green Version]
  7. Huang, G.; Liu, F.; Yang, Y.; Deng, W.; Li, S.; Huang, Y.; Kong, X. Removal of ammonium-nitrogen from groundwater using a fully passive permeable reactive barrier with oxygen-releasing compound and clinoptilolite. J. Environ. Manag. 2015, 154, 1–7. [Google Scholar] [CrossRef]
  8. Li, S.; Huang, G.; Kong, X.; Yang, Y.; Liu, F.; Hou, G.; Chen, H. Ammonium removal from groundwater using a zeolite permeable reactive barrier: A pilot-scale demonstration. Water Sci. Technol. 2014, 70, 1540–1547. [Google Scholar] [CrossRef]
  9. Obiri-Nyarko, F.; Grajales-Mesa, S.J.; Malina, G. An overview of permeable reactive barriers for in situ sustainable groundwater remediation. Chemosphere 2014, 111, 243–259. [Google Scholar] [CrossRef]
  10. Brix, H. How “green” are aquaculture, constructed wetlands and conventional wastewater treatment systems? Water Sci. Technol. 1999, 40, 45–50. [Google Scholar] [CrossRef]
  11. Kadlec, R.H.; Wallace, S.D. Treatment Wetlands, 2nd ed.; CRC Press Taylor & Francis Group: Boca Raton, FL, USA, 2009. [Google Scholar]
  12. Vymazal, J.; Kropfelova, L. Wastewater Treatment in Constructed Wetlands with Horizontal Sub-Surface Flow; Springer: Berlin/Heidelberg, Germany, 2008. [Google Scholar]
  13. Abdelhakeem, S.G.; Aboulroos, S.A.; Kamel, M.M. Performance of a vertical subsurface flow constructed wetland under different operational conditions. J. Adv. Res. 2016, 7, 803–814. [Google Scholar] [CrossRef] [Green Version]
  14. Gikas, G.D.; Tsihrintzis, V.A. A small-size vertical flow constructed wetland for on-site treatment of household wastewater. Ecol. Eng. 2012, 44, 337–343. [Google Scholar] [CrossRef]
  15. Yousefi, Z.; Mohseni-Bandpei, A. Nitrogen and phosphorus removal from wastewater by subsurface wetlands planted with Iris pseudacorus. Ecol. Eng. 2010, 36, 777–782. [Google Scholar] [CrossRef]
  16. Lin, Y.F.; Jing, S.R.; Lee, D.Y.; Chang, Y.F.; Shih, K.C. Nitrate removal from groundwater using constructed wetlands under various hydraulic loading rates. Bioresour. Technol. 2008, 99, 7504–7513. [Google Scholar] [CrossRef] [PubMed]
  17. Braeckevelt, M.; Reiche, N.; Trapp, S.; Wiessner, A.; Paschke, H.; Kuschk, P.; Kaestner, M. Chlorobenzene removal efficiencies and removal processes in a pilot-scale constructed wetland treating contaminated groundwater. Ecol. Eng. 2011, 37, 903–913. [Google Scholar] [CrossRef]
  18. Amon, J.P.; Agrawal, A.; Shelley, M.L.; Opperman, B.C.; Enright, M.P.; Clemmer, N.D.; Slusser, T.; Lach, J.; Sobolewski, T.; Gruner, W.; et al. Development of a wetland constructed for the treatment of groundwater contaminated by chlorinated ethenes. Ecol. Eng. 2007, 30, 51–66. [Google Scholar] [CrossRef]
  19. Bedessem, M.E.; Ferro, A.M.; Hiegel, T. Pilot-scale constructed wetlands for petroleum-contaminated groundwater. Water Environ. Res. 2007, 79, 581–586. [Google Scholar] [CrossRef]
  20. Stefanakis, A.I.; Seeger, E.; Dorer, C.; Sinke, A.; Thullner, M. Performance of pilot-scale horizontal subsurface flow constructed wetlands treating groundwater contaminated with phenols and petroleum derivatives. Ecol. Eng. 2016, 95, 514–526. [Google Scholar] [CrossRef]
  21. Seeger, E.M.; Kuschk, P.; Fazekas, H.; Grathwohl, P.; Kaestner, M. Bioremediation of benzene-, MTBE- and ammonia-contaminated groundwater with pilot-scale constructed wetlands. Environ. Pollut. 2011, 159, 3769–3776. [Google Scholar] [CrossRef]
  22. Lee, C.; Fletcher, T.D.; Sun, G. Nitrogen removal in constructed wetland systems. Eng. Life Sci. 2009, 9, 11–22. [Google Scholar] [CrossRef]
  23. Wen, Y.; Xu, C.; Liu, G.; Chen, Y.; Zhou, Q. Enhanced nitrogen removal reliability and efficiency in integrated constructed wetland microcosms using zeolite. Front. Environ. Sci. Eng. 2012, 6, 140–147. [Google Scholar] [CrossRef]
  24. Reddy, K.R.; Patrick, W.H. Nitrogen transformations and loss in flooded soils and sediments. Crit. Rev. Environ. Sci. Technol. 1984, 13, 273–309. [Google Scholar] [CrossRef]
  25. Vymazal, J. Horizontal sub-surface flow and hybrid constructed wetlands systems for wastewater treatment. Ecol. Eng. 2005, 25, 478–490. [Google Scholar] [CrossRef]
  26. Sun, G.J.; Zhao, Y.; Allen, S.; Cooper, D. Generating “tide” in pilot-scale constructed wetlands to enhance agricultural wastewater treatment. Eng. Life Sci. 2006, 6, 560–565. [Google Scholar] [CrossRef]
  27. Austin, D.; Lohan, E.; Verson, E. Nitrification and denitrification in a tidal vertical flow wetland pilot. In Water Environment Technical Conference; WEF: Los Angeles, CA, USA, 2003; pp. 333–357. [Google Scholar] [CrossRef] [Green Version]
  28. Austin, D. Influence of cation exchange capacity (CEC) in a tidal flow, flood and drain wastewater treatment wetland. Ecol. Eng. 2006, 28, 35–43. [Google Scholar] [CrossRef]
  29. Bruch, I.; Fritsche, J.; Bänninger, D.; Alewell, U.; Sendelov, M.; Hürlimann, H.; Hasselbach, R.; Alewell, C. Improving the treatment efficiency of constructed wetlands with zeolite-containing filter sands. Bioresour. Technol. 2011, 102, 937–941. [Google Scholar] [CrossRef] [PubMed]
  30. Shuib, N.; Baskaran, K.; Jegatheesan, V. Evaluating the performance of horizontal subsurface flow constructed wetlands using natural zeolite (escott ). Int. J. Environ. Sci. Dev. 2011, 2, 311–315. [Google Scholar]
  31. Saeed, T.; Sun, G. A review on nitrogen and organics removal mechanisms in subsurface flow constructed wetlands: Dependency on environmental parameters, operating conditions and supporting media. J. Environ. Manag. 2012, 112, 429–448. [Google Scholar] [CrossRef]
  32. Khanitchaidecha, W.; Shakya, M.; Nakano, Y.; Tanaka, Y.; Kazama, F. Development of an attached growth reactor for NH4-N removal at a drinking water supply system in Kathmandu Valley, Nepal. J. Environ. Sci. Health Part A 2012, 47, 734–743. [Google Scholar] [CrossRef]
  33. APHA/AWWA/WEF. Standard Methods for the Examination of Water and Wastewater, 20th ed.; Clesceri, L.S., Greenberg, A.E., Eaton, A.D., Eds.; American Public Health Association, American Water Works Association, Water Environment Federation: Washington, DC, USA, 1998. [Google Scholar]
  34. Bru, D.; Martin-Laurent, F.; Philippot, L. Quantification of the detrimental effect of a single primer-template mismatch by real-time PCR using the 16S rRNA gene as an example. Appl. Environ. Microbiol. 2008, 74, 1660–1663. [Google Scholar] [CrossRef] [Green Version]
  35. Dionisi, H.M.; Layton, A.C.; Harms, G.; Gregory, I.R.; Robinson, K.G.; Sayler, G.S. Quantification of Nitrosomonas oligotropha-like ammonia-oxidizing bacteria and Nitrospira spp. from full-scale wastewater treatment plants by competitive PCR. Appl. Environ. Microbiol. 2002, 68, 245–253. [Google Scholar] [CrossRef] [Green Version]
  36. Poly, F.; Wertz, S.; Brothier, E.; Degrange, V. First exploration of Nitrobacter diversity in soils by a PCR cloning-sequencing approach targeting functional gene nxrA. FEMS Microbiol. Ecol. 2008, 63, 132–140. [Google Scholar] [CrossRef] [Green Version]
  37. Lopez-Gutierrez, J.C.; Henry, S.; Hallet, S.; Martin-Laurent, F.; Catroux, G.; Philippot, L. Quantification of a novel group of nitrate-reducing bacteria in the environment by real-time PCR. J. Microbiol. Methods 2004, 57, 399–407. [Google Scholar] [CrossRef] [PubMed]
  38. Yan, T.; Fields, M.W.; Wu, L.; Zu, Y.; Tiedje, J.M.; Zhou, J. Molecular diversity and characterization of nitrite reductase gene fragments (nirK and nirS) from nitrate- and uranium-contaminated groundwater. Environ. Microbiol. 2003, 5, 13–24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Throback, I.N.; Enwall, K.; Jarvis, A.; Hallin, S. Reassessing PCR primers targeting nirS, nirK and nosZ genes for community surveys of denitrifying bacteria with DGGE. FEMS Microbiol. Ecol. 2004, 49, 401–417. [Google Scholar] [CrossRef] [PubMed]
  40. Scala, D.J.; Kerkhof, L.J. Nitrous oxide reductase (nosZ) gene-specific PCR primers for detection of denitrifiers and three nosZ genes from marine sediments. FEMS Microbiol. Lett. 1998, 162, 61–68. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Sickle-A Windowed Adaptive Trimming Tool for FASTQ Files Using Quality. Available online: https://github.com/najoshi/sickle (accessed on 2 March 2020).
  42. Fastx-Toolkit. Available online: http://hannonlab.cshl.edu/fastx_toolkit/download.html (accessed on 2 March 2020).
  43. Flash. Available online: https://sourceforge.net/projects/flashpage/files/ (accessed on 2 March 2020).
  44. Usearch. Available online: https://www.drive5.com/usearch/ (accessed on 2 March 2020).
  45. Lin, Y.F.; Jing, S.R.; Wang, T.W.; Lee, D.Y. Effects of macrophytes and external carbon sources on nitrate removal from groundwater in constructed wetlands. Environ. Pollut. 2002, 119, 413–420. [Google Scholar] [CrossRef]
  46. Rahmani, A.R.; Samadi, M.T.; Ehsani, H.R. Investigation of clinoptilolite natural zeolite regeneration by air stripping followed by ion exchange for removal of ammonium from aqueous solutions. Iran. J. Environ. Health Sci. Eng. 2009, 6, 167–172. [Google Scholar]
  47. Deng, Q.; Elbeshbishy, E.; Lee, H.S. Simultaneous regeneration of exhausted zeolite and nitrogen recovery using an air stripping method at alkaline pH. Water Qual. Res. J. Can. 2016, 51, 321–330. [Google Scholar] [CrossRef] [Green Version]
  48. Lei, X.; Li, M.; Zhang, Z.; Feng, C.; Bai, W.; Sugiura, N. Electrochemical regeneration of zeolites and the removal of ammonia. J. Hazard. Mater. 2009, 169, 746–750. [Google Scholar] [CrossRef]
  49. Lahav, O.; Green, M. Bioregenerated ion-exchange process: The effect of the biofilm on the ion-exchange capacity and kinetics. Water SA 2000, 26, 51–57. [Google Scholar]
  50. Rahmani, A.R.; Mahvi, A.H. Use of Ion Exchange for Removal of Ammonium: A Biological Regeneration of Zeolite. Glob. NEST J. 2006, 8, 146–150. [Google Scholar] [CrossRef]
  51. Sun, G.; Zhao, Y.; Allen, S. Enhanced removal of organic matter and ammoniacal-nitrogen in a column experiment of tidal flow constructed wetland system. J. Biotechnol. 2005, 115, 189–197. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Wu, S.; Zhang, D.; Austin, D.; Dong, R.; Pang, C. Evaluation of a lab-scale tidal flow constructed wetland performance: Oxygen transfer capacity, organic matter and ammonium removal. Ecol. Eng. 2011, 37, 1789–1795. [Google Scholar] [CrossRef]
  53. Li, C.; Wu, S.; Dong, R. Dynamics of organic matter, nitrogen and phosphorus removal and their interactions in a tidal operated constructed wetland. J. Environ. Manag. 2015, 151, 310–316. [Google Scholar] [CrossRef] [PubMed]
  54. Chang, Y.; Wu, S.; Zhang, T.; Mazur, R.; Pang, C.; Dong, R. Dynamics of nitrogen transformation depending on different operational strategies in laboratory-scale tidal flow constructed wetlands. Sci. Total Environ. 2014, 487, 49–56. [Google Scholar] [CrossRef] [PubMed]
  55. Li, J.; Hu, Z.; Li, F.; Fan, J.; Zhang, J.; Li, F.; Hu, H. Effect of oxygen supply strategy on nitrogen removal of biochar-based vertical subsurface flow constructed wetland: Intermittent aeration and tidal flow. Chemosphere 2019, 223, 366–374. [Google Scholar] [CrossRef]
  56. Liu, C.; Li, X.; Yang, Y.; Fan, X.; Tan, X.; Yin, W.; Liu, Y.; Zhou, Z. Double-layer substrate of shale ceramsite and active alumina tidal flow constructed wetland enhanced nitrogen removal from decentralized domestic sewage. Sci. Total Environ. 2020, 703, 135629. [Google Scholar] [CrossRef]
  57. Münch, C.; Kuschk, P.; Röske, I. Root stimulated nitrogen removal: Only a local effect or important for water treatment? Water Sci. Technol. 2005, 51, 185–192. [Google Scholar] [CrossRef]
  58. Zhu, T.; Sikora, F.J. Ammonium and nitrate removal in vegetated and unvegetated gravel bed microcosm wetlands. Water Sci. Technol. 1995, 32, 219–228. [Google Scholar] [CrossRef]
  59. Hu, Y.; He, F.; Ma, L.; Zhang, Y.; Wu, Z. Microbial nitrogen removal pathways in integrated vertical-flow constructed wetland systems. Bioresour. Technol. 2016, 207, 339–345. [Google Scholar] [CrossRef]
  60. Toyama, T.; Nishimura, Y.; Ogata, Y.; Sei, K.; Mori, K.; Ike, M. Effects of planting Phragmites australis on nitrogen removal, microbial nitrogen cycling, and abundance of ammonia-oxidizing and denitrifying microorganisms in sediments. Environ. Technol. 2015, 37, 478–485. [Google Scholar] [CrossRef]
  61. Wang, Q.; Xie, H.; Ngo, H.H.; Guo, W.; Zhang, J.; Liu, C.; Liang, S.; Hu, Z.; Yang, Z.; Zhao, C. Microbial abundance and community in subsurface flow constructed wetland microcosms: Role of plant presence. Environ. Sci. Pollut. Res. 2016, 23, 4036–4045. [Google Scholar] [CrossRef] [PubMed]
  62. Han, Z.; Dong, J.; Shen, Z.; Mou, R.; Zhou, Y.; Chen, X.; Fu, X.; Yang, C. Nitrogen removal of anaerobically digested swine wastewater by pilot-scale tidal flow constructed wetland based on in-situ biological regeneration of zeolite. Chemosphere 2019, 217, 364–373. [Google Scholar] [CrossRef] [PubMed]
  63. Chen, Y.; Wen, Y.; Tang, Z.; Huang, J.; Zhou, Q.; Vymazal, J. Effects of plant biomass on bacterial community structure in constructed wetlands used for tertiary wastewater treatment. Ecol. Eng. 2015, 84, 38–45. [Google Scholar] [CrossRef]
  64. Rich, J.J.; Heichen, R.S.; Bottomley, P.J.; Cromack, K.; Myrold, D.D. Community composition and functioning of denitrifying bacteria from adjacent meadow and forest soils. Appl. Environ. Microbiol. 2003, 69, 5974–5982. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Tan, X.; Yang, Y.; Li, X.; Zhou, Z.; Liu, C.; Liu, Y.; Yin, W.; Fan, X. Intensified nitrogen removal by heterotrophic nitrification aerobic denitrification bacteria in two pilot-scale tidal flow constructed wetlands: Influence of influent C/N ratios and tidal strategies. Bioresour. Technol. 2020, 302, 122803. [Google Scholar] [CrossRef]
  66. Chen, Z.; Vymazal, J.; Kuschk, P. Effects of tidal operation on pilot-scale horizontal subsurface flow constructed wetland treating sulfate rich wastewater contaminated by chlorinated hydrocarbons. Environ. Sci. Pollut. Res. 2017, 24, 1042–1050. [Google Scholar] [CrossRef]
Figure 1. (a) Laboratory-scale zeolite-based tidal flow and continuous flow constructed wetlands (CWs) with vegetation (common reed plants), to study the effect of flow type in N removal and (b) smaller-scale tidal flow CWs, with and without vegetation, to study the effect of vegetation.
Figure 1. (a) Laboratory-scale zeolite-based tidal flow and continuous flow constructed wetlands (CWs) with vegetation (common reed plants), to study the effect of flow type in N removal and (b) smaller-scale tidal flow CWs, with and without vegetation, to study the effect of vegetation.
Water 12 01326 g001
Figure 2. Changes in NH4+-N, NO2-N, and NO3-N concentration and N removal efficiency over 105 days of CW operation in (a) tidal flow, and (b) continuous flow. Values are means ± SD (n = 2).
Figure 2. Changes in NH4+-N, NO2-N, and NO3-N concentration and N removal efficiency over 105 days of CW operation in (a) tidal flow, and (b) continuous flow. Values are means ± SD (n = 2).
Water 12 01326 g002
Figure 3. N removal potential of zeolite-microbe association in (a) tidal flow CWs, and (b) continuous flow CWs. Values are means ± SD (n = 3).
Figure 3. N removal potential of zeolite-microbe association in (a) tidal flow CWs, and (b) continuous flow CWs. Values are means ± SD (n = 3).
Water 12 01326 g003
Figure 4. First-order NH4+-N adsorption rate on zeolites in tidal flow CWs and continuous flow CWs.
Figure 4. First-order NH4+-N adsorption rate on zeolites in tidal flow CWs and continuous flow CWs.
Water 12 01326 g004
Figure 5. Changes in N concentrations in groundwater inside tidal flow CWs: (a) with vegetation (common reed plants), and (b) without vegetation. Values are means ± SD (n = 3).
Figure 5. Changes in N concentrations in groundwater inside tidal flow CWs: (a) with vegetation (common reed plants), and (b) without vegetation. Values are means ± SD (n = 3).
Water 12 01326 g005
Figure 6. Changes in N concentrations over 24 h in denitrification experimental vial containing zeolite: (a) with common reed roots, and (b) without common reed roots, from the tidal flow CWs with and without vegetation, respectively, on the 60th day of operation. Values are means ± SD (n = 3).
Figure 6. Changes in N concentrations over 24 h in denitrification experimental vial containing zeolite: (a) with common reed roots, and (b) without common reed roots, from the tidal flow CWs with and without vegetation, respectively, on the 60th day of operation. Values are means ± SD (n = 3).
Water 12 01326 g006
Figure 7. Bacterial community compositions at the (a) phylum, (b) class, and (c) order level in the tidal flow CWs with and without vegetation (common reed plants) on the last day (60th day) of operation.
Figure 7. Bacterial community compositions at the (a) phylum, (b) class, and (c) order level in the tidal flow CWs with and without vegetation (common reed plants) on the last day (60th day) of operation.
Water 12 01326 g007
Table 1. Abundance of bacterial 16S rRNA and ammonia oxidizing bacteria (AOB)-amoA, nxrA, narG, nirK, nirS, and nosZ genes in zeolite-based tidal flow CWs with and without vegetation (common reed plants) on the last day (i.e., 60th day) of operation. Average numbers of gene copies ±SD are shown for triplicate experiments.
Table 1. Abundance of bacterial 16S rRNA and ammonia oxidizing bacteria (AOB)-amoA, nxrA, narG, nirK, nirS, and nosZ genes in zeolite-based tidal flow CWs with and without vegetation (common reed plants) on the last day (i.e., 60th day) of operation. Average numbers of gene copies ±SD are shown for triplicate experiments.
Target GeneAbundance (copies g−1 of zeolite)
with Vegetationwithout Vegetation
Bacterial 16S rRNA(6.6 ± 0.8) × 1010(4.0 ± 0.4) × 108
AOB-amoA(2.6 ± 0.9) × 108(2.3 ± 0.3) × 106
nxrA(7.1 ± 2.6) × 104(7.4 ± 1.2) × 102
narG(8.6 ± 3.6) × 108(5.5 ± 0.5) × 106
nirK(1.4 ± 0.6) × 108(1.1 ± 0.4) × 106
nirS(3.1 ± 1.1) × 108(1.0 ± 0.6) × 106
nosZ(1.9 ± 0.1) × 108(5.8 ± 0.4) × 104

Share and Cite

MDPI and ACS Style

Maharjan, A.K.; Mori, K.; Toyama, T. Nitrogen Removal Ability and Characteristics of the Laboratory-Scale Tidal Flow Constructed Wetlands for Treating Ammonium-Nitrogen Contaminated Groundwater. Water 2020, 12, 1326. https://doi.org/10.3390/w12051326

AMA Style

Maharjan AK, Mori K, Toyama T. Nitrogen Removal Ability and Characteristics of the Laboratory-Scale Tidal Flow Constructed Wetlands for Treating Ammonium-Nitrogen Contaminated Groundwater. Water. 2020; 12(5):1326. https://doi.org/10.3390/w12051326

Chicago/Turabian Style

Maharjan, Amit Kumar, Kazuhiro Mori, and Tadashi Toyama. 2020. "Nitrogen Removal Ability and Characteristics of the Laboratory-Scale Tidal Flow Constructed Wetlands for Treating Ammonium-Nitrogen Contaminated Groundwater" Water 12, no. 5: 1326. https://doi.org/10.3390/w12051326

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop