1. Introduction
Selecting appropriated sewage treatment methods is a difficult task in most developing countries due to financial constraints, lack of technically trained staff, and electricity shortages. Therefore, in these regions, there is a need to explore simplified technologies apart from conventional systems [1].
The biological wastewater treatment process is a widely used method to remove organic pollutants. Among these technologies, BTFs stand out. A BTF is a biofilter composed of a packing media as support for biofilm attachment, where microorganisms can biodegrade contaminants. BTFs are characterized by less space and time for removal of organic matter, a moderate demand of technical training required for operators, and resistance in case of power failures and shock loads, in comparison to other secondary wastewater treatment systems [1], beyond less sludge generation [2]. According to Von Sperling [3], BTF operation and maintenance costs can reach 30% less than activated sludge systems. However, other studies estimate differences of 46–53% between both treatment systems [1,4].
The selection of the packing media is one of the most important factors in the performance of a trickling filter. Stone, gravel, or plastic beds are the most common support media used in BTFs [5]. According to Victoria [6], the stone beds are a coarse support media. Therefore, the dispersion of liquid occurs at small depths, causing complete moistening of the available surface and the support’s configuration tends to delay the flow of liquid through the filter. Thus, lower hydraulic loads must be applied to avoid flooding and system failures. Almeida et al. [7] point out that in places where emission standards are more flexible, the use of stone beds may still be a possibility due to their cost. However, the removal of nitrogenous compounds and the final effluent’s quality improvement due to restrictions in the emission standards led to the discovery of new functional aspects in BTFs.
Due to LECA characteristics, this material has been used in sorption experiments aiming to remove persistent pollutants [8] and nutrients from water [9], also as support media in alternatives water and wastewater treatment systems [10,11,12]. LECA is a lightweight material with a high capacity of nitrogen removal in CWs due to its high porosity and large surface area where oxygen is able to penetrate [13] and biomass to develop.
The use of plant species in CWs is extensive due to its influences on the efficiency of wetland systems: alteration in the hydraulic conductivity of the units, possibility of oxygen transfers through the root zone, the liberation of exudates, contaminant removal by the biofilm zone around the roots and nutrient uptakes. Chrysopogon zizanioides (common name vetiver grass) has been widely used in soil and water phytoremediation [14,15,16]. Vetiver is able to develop under adverse conditions while removing a great amount of contaminants [14,17] and nutrients in wastewater [18], presenting a high production of biomass. Zhao et al. [19] compared six species of plants in CWs, reporting that vetiver had the greater leaf biomass (1.57 kg m−²) due to its herbal properties and lower moisture contents. The radicular system, large and dense (3 to 4 m in the first year), is able to improve aeration in root zone [20], to support nutrient exchange and allow the growth of microbial community [21].
To the best of our knowledge, the effects of vegetation in the operation of BTFs have not yet been evaluated. Therefore, aiming at more sustainable projects and to expand the functional aspects of the BTF system, this study proposed to verify the possible benefits of vetiver in BTF systems. The association between gravel and vetiver is proposed to investigate whether the addition of vegetation improves the efficiency of the basic parameters of BTFs with gravel since it is a support media widely used for its low cost. Since the plant is highly resistant to adverse conditions, its development would not be compromised by the pollutants loading from the sewage studied. It was expected an assimilative capacity of nutrients, due to the high biomass production. In addition, the dense root system of vetiver (which can improve the oxygenation conditions of the media) could allow improvements in the removal of nutrients and organic matter in BTFs with a gravel bed. In addition, considering the high porosity and specific surface of LECA, we also evaluated whether the support media composed of vetiver and LECA was able to produce an increase in the oxygenation and nitrification rates of the media.
2. Materials and Methods
2.1. Experimental Unit
Sewage was passed through a screening and elevated by a pumping station before entering the primary clarifier, which was made of high-density polyethylene with 10 m³ of capacity. After the primary treatment, a distribution reservoir of 0.219 m³ was implemented in order to share equally the influent to the subsequent four BTFs in parallel. Followed by them, there were four secondary clarifiers (not being targeted by this survey), for the post-treatment of wastewater. The flow chart of the experimental unit is presented in Figure 1A. Figure 1B shows an image of the experimental setup with the vegetation. Figure 1C shows a root of vetiver extracted from the BTF with gravel after the plant stabilization.
The four BTFs were built with the same dimensions, with 0.5 m3 capacity, structured in welded metal drums, with 0.60 m in diameter and 1.80 m high. The BTFs were filled with packing media to a height of 1.70 m, leaving a freeboard of 0.10 m and a bottom for drainage of 0.20 m. Cross-shaped fixed distributors were installed on the top of BTFs. These devices have been made with polyvinyl chloride (PVC) upper portion open tubes of 50 mm in diameter to avoid clogging.
Two of the four BTFs belonging to the experiment were filled with LECA and two with Gravel “#1”. In two of the BTFs-one unit containing LECA and another containing gravel-were inserted the vetiver grasses.
Gravel #1 has a specific weight of 1450 kg m−3 in comparison to 450 kg m−3 of LECA. The specific surface and void ratio of LECA is 270 m² m−³ and 65%, against 60 m² m−³ and 50%, respectively, for Gravel #1 [22]. Gravel was used as support media because of its low cost and widespread use. LECA was also studied as an alternative filter media due to its lower specific weight, besides of higher specific surface and void ratio, in comparison to gravel.
The vegetated BTFs (1 and 3) behave like vertical-flow constructed wetlands. However, the designation “BTF” was maintained since the other units were not vegetated. A vertical unit configuration of the system was chosen due to the vertical growth of the vetiver. Thus, the settings and names of BTFs composing the system were as follows:
BTFLV = LECA media grown with vetiver grass
BTFL = LECA media without vegetation
BTFGV = gravel media grown with vetiver grass
BTFG = gravel media without vegetation
Regarding vegetated filters, the vetiver grass was already established in the filters and its insertion occurred before the present study. As a control measure, before starting the operation of this experiment, the vetiver grass was pruned to 10 cm high from the media top surface (Figure 1B).
2.2. Operational Conditions
The hydraulic loading rate (HLR) adopted as an initial design parameter was 2.7 m3 m−2 d−1 and the organic loading rate (OLR) of BOD was 0.3 kg m−3 d−1, characterizing the BTFs as a low rate units [23]. The choice of this criterion was due to the simplicity involved in the operation and the satisfactory BOD removal efficiency, besides the no need to recycle the effluent. Furthermore, this loading rate is indicated for small capacity sewage treatment plants [23] and there is the possibility of nitrification occurrence. To design the low rate BTFs we adopted average BOD after post-primary clarifier equal to 200 mg L−1. Table 1 shows the operational parameters of each BTF.
For the influent, a sampling with four collect points was performed in the output distribution tank called CP1, CP2, CP3, CP4 (Figure 1A), making up a composite sample. For the effluent, samples were collected at the output of each filter that composes the system, referred to as CP5, CP6, CP7, CP8.
Within 30 days of the startup system, the BTFs reached the steady-state and the biofilm establishment. Thereafter, the system was kept in continuous flow operation for 60 days.
2.3. Analytical Procedures
After the system reached a steady-state, the monitoring of the BTF was conducted. The sampling frequency was twice a week and the following physicochemical variables were analyzed: BOD, TKN, total ammonia nitrogen (TAN), nitrate (N-NO3−), total phosphorus, dissolved oxygen (DO), and settleable solids. The nitrogen analysis measured as N-NO3− was performed following the methodology of Yang et al. [24]. The analyses for the other variables were performed according to the Standard Methods for the Examination Water and Wastewater [25]. Table 2 shows the methods and apparatus used. Analyses of filtered BOD samples were also performed, using GF-1.47 mm glass fiber microfilters.
2.4. Statistical Analysis
A factorial statistical analysis of the data was performed in order to verify the contribution of the support media and vegetation on the differences found in the concentrations of crude BOD, nutrients, and DO in the filters. Montgomery [26] states that this is the appropriate method to evaluate experiments with more than one factor. The factorial statistical analysis allows evaluating the effects caused by each factor and also the consequence of the interaction between them.
The experiment was conducted according to a factorial 2 × 2, comprising four treatments, which consisted of the combination of the media (LECA or gravel) with vegetation (vetiver grass cultivation and without the vegetation) in a randomized block design. Each block was referred to a sample campaign so that there was the greater uniformity as possible inside each block.
A Shapiro–Wilk “W” test at a 5% significance level was performed to verify the normality and the Bartlett test was used to investigate the homogeneity of variances (homoscedasticity) between the treatments. In a case of violation of any assumptions, the transformation of the original data in statistical analysis was performed, or a nonparametric Kruskal–Wallis at a 5% significance level was used. When normality was observed, parametric statistics variance analysis (ANOVA) followed by Tukey test (5%) were performed. ASSISTAT® 7.7 beta software was used for statistical analysis.
3. Results and Discussion
Figure 2 shows the box plot of total BOD and filtered BOD (Figure 2A), DO (Figure 2B), and settleable solids (Figure 2C). Data from BTFs influent and effluent concentrations regarding total phosphorus (Figure 2D), TAN/ TKN (Figure 2E), and N-NO3− (Figure 2F) are presented as well. The values shown refer only to the performance of the BTFs. Thus, the influent name is referred to the values of the post-primary clarifier and the effluent mentioned refers to the effluent passing through the BTFs.
3.1. Performance of Organic Matter and Settleable Solids Removal
The average BOD influents and effluents were 234 ± 79, 142 ± 52, 119 ± 31, 104 ± 26, 120 ± 32 mg L−1, for BTFLV, BTFL, BTFGV, and BTFG respectively. The average efficiencies for BOD were 39, 49, 56, and 49% for BTFLV, BTFL, BTFGV and BTFG, respectively (Figure 2A). The values in general are lower than indicated in literature considering low rate BTFs. According to Ali et al. [1], BTFs achieve usually 85–90% BOD and 80–85% COD removal efficiencies after the second clarifier. The reasons that led to the obtained average values for BOD may be related to the high solid input contribution in the BTFs (Figure 2C) in which the system had not retained enough and due to the detachment of biofilm.
However, for filtered BOD, the average efficiencies were 77, 82, 78, and 80% for BTFLV, BTFL, BTFGV, and BTFG, respectively. These satisfactory values regarding filtered BOD indicate a high capacity of removing dissolved BOD as most of the remaining BOD was in the particulate form. Part of this material can be removed in the secondary clarifiers, providing a lower level of suspended solids in the final effluent and consequently a lower concentration of organic matter in the receiving water body.
Table 3 shows results from the factorial statistical analysis, showing the effects caused by each factor (media and vegetation) and the effect caused by the interaction between them.
We can observe in Table 3 that the units with gravel as support media differed significantly. The solids retention in the gravel might create a favorable environment for BOD removal, probably because this media worked as a barrier preventing a portion of the suspended solids to be routed out of the BTFs. Kishimoto et al. [27] evaluated the performance of trickling filters using two types of plastic media of the same material and concluded that the rougher surface retained twice more biomass of microorganisms than the smoother, contributing to greater COD removal. Furthermore, according to the same authors, the roughness of the filter media may prolong the hydraulic retention time. Therefore, despite its smaller void ratio and specific surface area compared to LECA, the rougher surface of the gravel media maybe has enabled better adherence and retention of the bacteria, besides prolonging retention time in comparison to LECA.
The higher settleable solids values in BTFLV effluent in comparison to the other BTFs (Figure 2C) can be explained by the use of media with different specific surface and structure which, according to Pérez et al. [28], could produce changes in the transfer and diffusion of nutrients to the packing media, causing different degrees of development and detachment of biofilms in BTFs. The uneven sloughing of slime layer is able to led high settleable solids in the effluent [1]. This discontinuity might be increased by the penetration of the roots while it grows. Furthermore, it is known that clay has a high void ratio, which is positive for providing a greater airflow into the system, but enables higher solids carryover out of the filter. These prerogatives might explain the higher levels of settleable solids in BTFLV of 1.5 mg L−1 against 0.5, 0.8 e 0.2 mg L−1 for BTFL, BTFGV, and BTFG. For this parameter, BTFG has the lowest level, reaffirming the solids’ retentions by this material. According to the results showed in Figure 2A, a significant part of BOD not removed from BTFLV may be settleable in a second clarifier.
A large part of this BOD in the BTFLV effluent (Figure 2A) comes from the organic matter contained in the biofilm. It is indicated by the difference between the results of filtered and unfiltered effluent BOD, besides the higher value of settleable solids (Figure 2C). The Pérez et al. [28] statement, together with the vetiver performance described in the previous paragraph, can also explain the high variation of the unfiltered BOD caused by the uneven detachment of biofilm layers from different stages of degradation.
The BTFLV was the filter that showed the best results in terms of DO (Figure 2B), with a statistically significant average of 2.11 mg L−1 of O2 against 0.66, 0.23, and 0.75 mg L−1 to BTFL, BTFGV, and BTFG, respectively. It is known that DO is an important parameter for the oxidation of nitrogen, influencing the performance of BTFs.
In Table 3, the presence of vetiver grass when analyzed individually had no improvement on the performance of BTFs, concerning BOD removal. According to Ali et al. [1], better aeration of the system contributes to the greater removal of organic matter in BTFs. However, the results found in the present study indicated the opposite: between BTFLV and BTFL, the second option showed to be more efficient in removing organic matter. Queluz [29] found a lower BOD content in the final effluent for non-vegetated CW than for CW vegetated by Typha latifolia. According to the author, it is possible that this result occurred due to the release of exudates by the roots. Such a prerogative can explain what happened in the present study. There was no significant difference between both filters with gravel due to the solids retention previously mentioned.
Mendonça et al. [30] also did not find a significant influence of plant species for the removal of BOD. The authors state that BOD removal is more significantly related to other mechanisms such as physical (removal of particulate BOD) and microbiological (removal of soluble BOD) mechanisms. However, they emphasized the importance of vegetation for other processes.
3.2. Performance for Phosphorus Removal
Analyzing the phosphorus average in Figure 2D, a minimum difference between influent and effluent was observed. Unsatisfactory removal values were consistent with Kishimoto et al. [27] that used a BTF system with OLR ranging from 0.2 to 0.9 kg m−3 d−1 of BOD and HLR from 1 to 5 m3 m−2 d−1 (ranges that include the operational parameter employed in the present study) with influent concentration 3.0 mg L−1 of phosphorus and did not obtain removal of this parameter. The average concentrations of phosphorus effluent on the media and vegetation are shown in Table 4. Statistical analysis shows no significant interaction between factors; therefore, its unfolding was not necessary.
As can be seen in Table 4, the gravel media (BTFGV and BTFG) differed statistically from LECA (BTFLV and BTFL), wherein the gravel provided better results for total phosphorus removal. BTFG had an average removal efficiency of 28% against 19%, 18%, and 19% of BTFLV, BTFL, and BTFGV, respectively. Regarding the support media performance, these results agree with those obtained by Lima et al. [31] in CWs. Comparing the performance of CWs without gravel vegetation and LECA as support media, the authors found close efficiency of 12%, 26%, 12%, and 25% for CW with gravel only, gravel with vegetation, LECA only, and LECA with vegetation, respectively, at a retention time of 24 h. However, at a retention time of 48 h and 72 h, Lima et al. [31] concluded that the absorption through plants in CWs was probably the most significant mechanism of phosphorus removal in gravel and LECA.
It is known that BTFs usually have a lower retention time than CWs, causing less contact time between the wastewater and the vegetation. It was mentioned that a rougher media as gravel allows a longer retention time than LECA. Therefore, just as described for BOD, in the present study the difference in the efficiency of BTFG (Table 4) may have occurred because it stayed longer retained on the media gravel than in LECA, increasing its retention time.
Considering the vegetation factor (BTFGV and BTFLV: with the presence of vetiver grass and BTFG and BTFL: without the presence of vetiver) no statistical difference was noticed. This indicates that vegetation did not affect significantly phosphorus removal in BTF. It was noticed a reduced retention time of BTFs compared to CWs due to the high capacity of biomass assimilation and growth rate of vetiver. Despite that, a positive interference of vegetation in phosphorus removal in BTFs as in CWs did not occur, even on a small scale, as expected.
3.3. Performance for Nitrogen Series Removal
As can be seen in Figure 2E,F, the TKN removal efficiency for BTFLV, BTFL, BTFGV and BTFG was 27%; 20%; 12% and 31%, respectively. For TAN, these values were 24%; 7%; 7% and 22%, respectively.
The results of statistical analysis applied to TKN and TAN are shown in Table 5. No significant difference to the packing media or vegetation was observed. However, the interaction of these factors had a significant difference. Nonparametric statistics were used for nitrate due to no fulfillment of the assumptions for the parametric test.
Comparing the concentrations of TKN, the BTFG was statistically different from the others, providing the best results for its removal (Table 5). The solids retention factor afforded by gravel helped in this result since the TKN composition is present in the nitrogen organic forms, which is more susceptible to removal physical processes, such as the retention of solids through the media.
Metcalf and Eddy [22] affirm that DO concentrations of 0.5 mg L−1 of O2 (Figure 2B) approximately, may cause denitrification due to the repression of nitrate-reducing enzymes. Considering TAN, both BTFLV and BTFG differed significantly (Table 5). Based on this result and according to the DO concentrations in Figure 2B, we can suggest that there was significant nitrification for BTFLV and BTFG in comparison with the other BTFs. Therefore, lower aeration of BTFL and BTFGV may have affected the DO levels which were insufficient to promote suitable conditions for nitrification.
In Lima et al. [31] study, the influent used by the authors had a concentration of BOD and TKN close to the values found in the present study. The authors found average efficiencies for TKN removal of 12%, 21%, 9%, and 19% to CW with only gravel, gravel with vegetation, only LECA and LECA with vegetation, respectively. They affirmed that there was no difference in the performance of CWs with or without vegetation for this parameter. Onodera et al. [32] operating a BTF with TKN influent of 30 mg L−1 obtained an effluent with 21 mg L−1 of TKN, and further by opening a window in BTF, the concentration reduced to 4 mg L−1 provided by the larger input of DO.
Moreover, competition between nitrifying and heterotrophic bacteria may also interfere in the nitrification process. Conditions of high concentrations of organic matter can provide a favorable environment predominance of heterotrophic bacteria, as these bacteria compete for oxygen and space, restricting the nitrifying microorganisms [33].
Regarding the N-NO3−, BTFLV was the most promising among the BTF, which differed significantly from the others by the Kruskal–Wallis test at a 5% significance level (Table 5). Distinct behavior of vetiver grass over the inserted media was observed. In the filter where vetiver grass was associated with LECA (BTFLV), it was noticed a positive effect of vegetation in the BTF in two of the three forms of nitrogen measured. As exposed previously, BTFLV had also the highest concentration of DO (Figure 2B).
Ye and Li [34] emphasize that complete nitrification is only able to occur for DO above 1.5 mg L−1, which was achieved only by BTFLV to the detriment of the other BTFs. This prerogative can explain the results for BTFG, which despite presenting TAN removal statistically significant from BTFL and BTFGV, the N-NO3− levels were not statistically equivalent to BTFLV.
Angassa et al. [20] also obtained a significant increase in DO in CW planted with vetiver, even with decreasing hydraulic retention time. According to the authors, this result may have occurred due to oxygen release into the root zone area in the massive root hairs, resulting in more aeration. In the present study, the largest voids of LECA when associated with vetiver grassroots may have provided higher aeration of the filter and consequently a more favorable environment for the nitrification denoted by the higher N-NO3− concentration (0.35 mg L−1).
Vetiver is an easily adaptable plant in harsh environments. The cost-to-benefit of its implementation is high since the plant is able to assimilate a lot of biomass with a low initial cost [35]. Furthermore, the plant can survive for decades with little maintenance [36]. Regarding LECA, despite its high initial cost compared to gravel, the cost of acquisition can be compensated with the lifetime of this material, which is equivalent to the system lifetime. In this way, vetiver can be implemented in BTFs, together with LECA, when aiming for higher levels of nitrification at an affordable cost.
Given the vetiver seedling cost and considering a plant density equal to 15 units per m² of the area in biofilter plant, according to the adopted by Darajeh et al. [37] for wetlands, an additional cost of implantation of US $6.00 per m² of planted area for implementation of BTFLV in relation to BTFL is estimated. In general, each filter has a different behavior, being more suitable according to a chosen variable. For BTFLV, the dissolved oxygen variable stood out with the highest concentration among BTFs. Moreover, it reached the best result for TAN and N-NO3− as well. The BTFL and BTFGV excelled with the lowest values for BOD. In addition, the BTFG had the lowest settleable solids and TKN values, besides good performance for TAN removal as well. Both BTFLV and BTFG had more variables that excelled, indicating the good settings from the studied filters.
4. Conclusions
From the results of this paper, it can be inferred that:
Comparing the filters considering BOD, best performance on BTFL and BTFGV were noticed.
In the four filters, there was a poor removal of total phosphorus, with no significant difference between them.
Regarding TKN, the best performance was provided by BTFG. Concerning TAN, the BTFLV and BTFG filters were better and, for N-NO3−, BTFLV had a superior performance than the other BTFs.
Both BTFLV and BTFG had more variables that excelled (three for each), indicating the best settings from the studied filters.
Concerning the effects of vegetation on the performance of the studied BTFs, the presence of vetiver grass did not improve the performance of BTFs regarding BOD and phosphate removal in BTFs with LECA and gravel as support media. However, LECA associated with vetiver (BTFLV) presented the highest DO, which reflected in its significantly best performance of TAN removal and nitrification capacity compared to packing media already consolidated (gravel).
This study investigated the advantages of the combined technologies LECA and vetiver to improve BTF operation. The results show that the use of aggregated vegetation in the BTF system along with LECA could be a viable technology to improve nitrification and removal of dissolved forms of nitrogen, besides being a low-cost and low-maintenance system. However, further investigation regarding the kinetics and optimization of a BTF with these settings must be performed.
Author Contributions
Conceptualization, A.C.B. and V.F.M.; data curation, V.F.M.; investigation, V.F.M. and G.J.d.S.; methodology, A.C.B. and V.F.M.; resources, A.C.B.; supervision, A.C.B.; validation, A.C.B.; visualization, V.F.M. and G.J.d.S.; and writing—original draft, V.F.M.; writing—review and editing, A.C.B. and G.J.d.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research was financially supported by National Council for Scientific and Technological Development (CNPq Grant Process Number 144783/2019-3) and Coordination for the Improvement of Higher Education Personnel (CAPES Finance Code 001).
Data Availability Statement
The data presented in this study are available in the article itself and references cited.
Acknowledgments
We acknowledge CNPq and CAPES for funding. We also acknowledge Manoela M.S. Dias for her assistance on language editing.
Conflicts of Interest
The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figures and Tables
Enlarge this image.Figure 1. Flowchart of the experimental unit (A) and a digital image (taken after a shallow cut in the vegetation) of the BTF of gravel and LECA with and without vetiver (B). F1: BTF with LECA+ vetiver; F2: BTF with LECA; F3: BTF with gravel + vetiver; F4: BTF with gravel. (C) Vetiver root extracted from F3.
Enlarge this image.Figure 2. Box plot of filtered and not filtered BOD (A), DO (B), settleable solids (C), total phosphorus (D) and TKN/TAN (E) and N-NO3− (F) in each BTF unit.
Operational characteristics in BTFs regarding flow, volume, OLR and HLR.
| Operating Characteristics | Value | Unit |
|---|---|---|
| Influent flow rate (for each BTF) | 0.75 | m3 d−1 |
| Adopted OLR as BOD | 0.3 | kg m−3 d−1 |
| HLR | 2.7 | m3 m−2 d−1 |
| Volume for each filter | 0.5 | m3 |
| Adopted influent BOD | 200 | mg L−1 |
Physical-chemical variables, methodology and devices used.
| Physicochemical Variables | Method/Apparatus |
|---|---|
| BOD | Hach HQ440D Digital Measurer |
| TKN | Semimicro Kjeldahl |
| TAN | Semimicro Kjeldahl |
| N-NO3− | Colorimetry |
| Total Phosphorus | Spectrophotometry |
| Temperature | Hach MP-6 Sensor |
| pH | Hach MP-6 Sensor |
| OD | Hach HQ440D Digital Measurer |
| Settleable solids | Imhoff Cone |
Concentrations of BOD effluents in mg L−¹. Factorial analysis regarding the interaction between the media and vegetation in BTFs, besides of effects caused by each factor.
| BTF Media | Vegetation | |
|---|---|---|
| With Vetiver Grass | Without Vetiver Grass | |
| Gravel | 104 mg L−¹ b A | 120 mg L−¹ a A |
| LECA | 142 mg L−¹ a A | 119 mg L−¹ a B |
a, b—Considering each media, means followed by the same lowercase letters (vertical direction) do not differ significantly by Tukey test at 5% significance level; A, B—considering presence or absence of vegetation, means followed by the same uppercase letters (horizontal direction) do not differ significantly by way of the Tukey test at a 5% significance level.
Table 4Total phosphorus concentrations on BTFs effluents.
| Factor | Factor Level | Phosphorus Concentration (mg L−1) |
|---|---|---|
| Media | Gravel | 6.02 b |
| LECA | 6.61 a | |
| Vegetation | With Vetiver Grass | 6.53 a |
| Without Vetiver Grass | 6.10 a |
The means followed by the same letter in the column do not differ significantly by the Tukey test (p > 0.05).
Table 5Concentrations (mg L−1) of TKN, TAN and N-NO3− in BTFs effluents. For TKN and TAN, a factorial analysis was conducted regarding the interaction between the media and vegetation in BTFs, besides of effects caused by each factor. For N-NO3−, Kruskal–Wallis test was performed.
| Nitrogen Specie | BTF Media | Vegetation | |
|---|---|---|---|
| Vetiver Grass | Without Vetiver Grass | ||
| TKN (mg L−¹) | Gravel | 42.1 a A | 37.6 b B |
| LECA | 39.5 a A | 43.1 a A | |
| TAN (mg L−¹) | Gravel | 39.2 a A | 32.7 b B |
| LECA | 31.0 b B | 37.7 a A | |
| N-NO3− (mg L−¹) | Gravel | 0.06 a | 0.10 a |
| LECA | 0.35 b | 0.03 a | |
a, b—Considering each media, means followed by the same lowercase letters (vertical direction) do not differ significantly by Tukey test at 5% significance level; A, B—considering presence of absence of vegetation, means followed by the same uppercase letters (horizontal direction) do not differ significantly. Considering N-NO3−, different lowercase letters differ by Kruskal–Wallis at 5% significance level.
© 2021 by the authors.
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; Greicelene Jesus da Silva