Several developing countries have limited infrastructure and finance to treat domestic and industrial wastewater. Discharging untreated sewage pollutes the surface and groundwater. Floating wetlands are an alternate method for treating polluted surface water bodies. This study's objective is to investigate the remediation of domestic wastewater using natural buoyant bamboo as a floating raft and terrestrial plants such as Ocimum tenuiflorum, Hibiscus, Chrysopogon zizanioides, and Canna in the floating wetland treatment (FWT) system. Floating rafts with a healthy terrestrial plant were planted and made to float in four plastic tanks with domestic wastewater. The water quality analysis was carried out periodically after 0, 3, 5, 10, 15, 20, and 25 days intervals. The experimental results of FWT using C. indica showed the highest removal efficiency of the pollutants such as TSS (96%), TP (98%), ammonia (95%), and DO (45%). In contrast, Ch. zizanioides showed its maximum removal efficiencies for turbidity (90%), TDS (48%), TN (85%), sodium (53%), potassium (74%), TP (92%), EC (27%), COD (93%), BOD (95%), and E. coli (47%). This study finding showed that the best terrestrial plants for removing various nutrients and other contaminants from municipal sewage were C. indica and Ch. zizanioides. However, further research is required to utilize these terrestrial plants with substrates under long-term study.

  • Floating Wetland Treatment (FWT) system - a natural and sustainable way of treating wastewater effectively through the use of plants and microorganisms.

  • Domestic wastewater is treated using FWTs having terrestrial plant species such as Canna indica, Ocimum tenuiflorum, Hibiscus rosa-sinensis, and Chrysopogon zizanioides.

  • Canna indica and Chrysopogon zizanioides have shown significant potential in treating domestic wastewater compared to others.

The world's modernization accelerates urbanization and the growth of several industries. The daily water demand increases rapidly due to population growth, and the management of wastewater disposal remains a significant challenge for several countries (Ijaz et al. 2015; Samal et al. 2019). Developing countries have more limited infrastructure for wastewater management than developed countries. The intrusion of untreated municipal and industrial wastewater causes eutrophication and contamination of surface water bodies. Also, they pose a severe threat to groundwater degradation (Gao et al. 2017). Therefore, alternate cost-effective wastewater treatment methods are needed to prevent surface water pollution and groundwater degradation (Zimmels et al. 2009). Generally, wetlands are referred to as earth kidneys because of their ability to remove excess nutrients and other pollutants washed away into them. Floating wetlands, a new type of technology called constructed floating wetlands or ‘artificial floating islands’, ‘ecological floating beds’, or ‘floating wetland treatment (FWT)’ (Pavlineri et al. 2017), are acquiring recognition all over the world. FWTs are a cost-effective and eco-friendly method for purifying contaminated lake water (Samal et al. 2019). They are comprised of a floatable structure holding the growth medium to enable plant growth just on the surface of water bodies. The dense root system of the plants hanging into the water column is responsible for excess nutrient removal and entrapping of the solid particles. The floating raft material and the plant roots provide a sufficient area for developing microbial communities, which also put their efforts into removing excess nutrients and other pollutants from the wastewater (Tanner & Headley 2011; White & Cousins 2013). Floating wetland plants obtain their nutrients directly from the wastewater column because of their free-hanging roots. Hanging roots also help in faster uptake rates of nitrogen and other pollutants.

Another positive side of floating wetlands from constructed wetlands is that they can withstand significant changes in water depth owing to their buoyancy (Tanner & Headley 2011). An authenticated, cost-effective, and eco-friendly phytoextraction are more suitable than the conventional treatment techniques, which may not be ideal for smaller regions. In the past few years, FWTs have been used for treating different types of wastewater (Ijaz et al. 2016). The recent evolution of FWTs has focused on microbial communities and their role along with the hydrophytes to treat textile effluents (Tara et al. 2019). Many studies have focused only on using emergent wetland plants rather than terrestrial plants. However, there is a gap in using terrestrial plants, such as flowering and herbaceous plants, on FWTs to treat different wastewater. This research study focuses on treating domestic wastewater using FWTs and terrestrial plant species such as Canna indica, Ocimum tenuiflorum, Hibiscus rosa-sinensis, and Chrysopogon zizanioides and to evaluate their efficacy in pollutant removal.

Experimental set-up

A laboratory trial was conducted in this study to evaluate the pollutant removal from wastewater using different terrestrial plants (Zimmels et al. 2009). The experimental investigation was done in a mesocosms study with a five circular plastic container with an internal diameter of 56 cm, a depth of 64 cm, and a 250-litre operational volume (Jones et al. 2017; Benvenuti et al. 2018; Gao et al. 2018). In addition, a tap provided at 5 cm just above the bottom of the tank helps in sample collection, which will be free of solid particles (Yasin et al. 2021; Figure 1).
Figure 1

Floating wetland tank.

Figure 1

Floating wetland tank.

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The experimental set-up of FWT was carried out in four identical plastic tanks and named as listed below (Gao et al. 2017):

  • FWT-CI: Floating wetland treatment with C. indica – Indian shot.

  • FWT-OT: Floating wetland treatment with O. tenuiflorum – Holy basil or Tulsi.

  • FWT-HR: Floating wetland treatment with H. rosa-sinensis – Hibiscus.

  • FWT-CZ: Floating wetland treatment with Ch. zizanioides – Vetiver (Ijaz et al. 2016).

Floating raft

This study uses bamboo, a naturally buoyant material, to make floating rafts for growing plants in the FWT process (Rehman et al. 2019a). First, the fresh bamboo was cut into the desired length to fit into the circular tank without obstruction. Then, a hand-made single-layer bamboo raft of 38 cm × 38 cm square in shape was used to provide floatation and to support plants (Weragoda et al. 2012). Finally, a plastic net pot of 5 cm diameter was used to hold the plants without any growth medium, and it was positioned in the bamboo raft at 10 cm maximum spacing (Figure 2).
Figure 2

Bamboo floating raft.

Figure 2

Bamboo floating raft.

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Selection of native terrestrial plants

Plants with extensive root systems and the ability to sustain the region's climate should be used for FWT-based phytoremediation treatment processes (Saldanha Vogelmann et al. 2016; Rehman et al. 2019a; Figures 3 and 4). C. indica, O. tenuiflorum, an Indian sub-continent herbaceous perennial plant, H. rosa-sinensis, a flowering plant, and Ch. zizanioides, an Indian-origin perennial grass, were collected from nurseries and other localities (Kiiskila et al. 2017). Healthy collected plants, ten of each variety, are placed in the plastic net pot, which was already positioned in the bamboo raft (Effendi et al. 2017). They were grown for 2 weeks in freshwater filled in four identical plastic tanks to establish roots (Zimmels et al. 2009).
Figure 3

FWT using (a) Canna indica, (b) Holy basil, (c) Vetiver, and (d) Hibiscus.

Figure 3

FWT using (a) Canna indica, (b) Holy basil, (c) Vetiver, and (d) Hibiscus.

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Figure 4

Root development of (a) Canna indica, (b) Holy basil, (c) Vetiver, and (d) Hibiscus.

Figure 4

Root development of (a) Canna indica, (b) Holy basil, (c) Vetiver, and (d) Hibiscus.

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Domestic sewage

Raw sewage water was collected from the municipal sewage treatment plant's inlet chamber in Arakkonam municipality, Tamilnadu, India. The raw sewage water was filled in the four identical plastic containers up to 60 cm in depth, and 4 cm of free space was left to float the floating wetland (Figure 5).
Figure 5

(a) Domestic sewage collection from treatment plant. (b) Sewage water filling in FW tank.

Figure 5

(a) Domestic sewage collection from treatment plant. (b) Sewage water filling in FW tank.

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Sample collection and analysis

Standard water and wastewater collection procedures were adopted for sewage sample collection. A tap fixed 5 cm above the container's bottom was used to take the samples from the tank. Hydraulic retention time (HRT) in treating domestic sewage using floating wetland mesocosm was kept at 0, 3, 5, 10, 15, 20, and 25 days; treated wastewater samples were collected at the HRT intervals (Faulwetter et al. 2011; Nawaz et al. 2020). A sufficient 1,000 mL sample was taken out from the tap, and the collected samples were stored in a one-litre plastic container for water quality analysis (Cao et al. 2016; Jones et al. 2017). During each HRT, one sample was taken from each of the four FWT tanks. Hence, for the seven alternative hydraulic retention times, a total of 28 samples were investigated to determine the water quality. Each tank was topped off with deionized water every 3 days to compensate for the evaporation losses and to maintain a constant water level. The tanks are covered with plastic sheets in the event of precipitation (Nawaz et al. 2020).

The experimental investigation was executed between February and April 2021 during summer, to avoid rainwater intrusion into the floating wetland tank which may cause dilution of pollutant concentration of domestic wastewater filled in the tank. Initially, the terrestrial plants were made to float in the FWT filled with fresh water and left for 4 weeks for the development of roots. The floating island with root establishment was then placed in the FWT tanks filled with domestic sewage. The water quality of FWTs was monitored on the 3rd day to determine the pollutant uptake efficiency of terrestrial plants in domestic wastewater. Furthermore, the water quality analysis was done periodically every 5 days until the 25th day. The maximum temperature recorded during this period varied between 32 and 42 °C.

Sixteen physiochemical parameters such as colour, odour, pH, TDS, TSS, turbidity, BOD5, COD, EC, DO, ammonia, phosphate, sodium, potassium, total hardness (TH), total nitrogen, total phosphorus, and E. coli were analysed in the laboratory immediately after the sample collection from each FWT (Ijaz et al. 2015; Benvenuti et al. 2018).

COD was measured using APHA 23rd edition: 5220, pH, free ammonia as NH3, phosphate as PO4, total phosphorus as P, APHA 23rd edition: 4500, potassium as K, sodium as Na was measured using APHA 23rd edition: 3500, total hardness as CaCo3 was measured using APHA 23rd edition: 2340, colour was measured using APHA 23rd edition: 2120, the dissolved oxygen concentration was measured using portable oxi 340 meters, and the odour was measured using APHA 23rd edition: 2150 (Cao et al. 2016).

Temperature

The higher variations in temperature and solar radiation have a significant impact on plant activity and microbiological processes in floating wetlands. The wetland plant and microbial communities are particularly sensitive to changes in environmental conditions, and temperature variations (Gao et al. 2017; Samal et al. 2019). Temperature affects plant growth and development, as well as the rates of microbial activity and decomposition. Temperature influences the metabolic rates of both plants and microorganisms, and it can have a profound impact on floating wetland biogeochemistry (Fang et al. 2016). A higher temperature is most likely the key modification that will have a positive impact on the removal efficiency. As a result, macrophytes’ rapid growth will drive an increase in pollution uptake, and increased microbial metabolism rates will accelerate pollutant breakdown (Van De Moortel et al. 2010; Cao et al. 2016; Tharp et al. 2019; Hwang et al. 2020). During the execution of this experimental investigation, the temperature ranged between 32 °C minimum and 42 °C maximum. During the entire experimental investigation, only 10 mm of rainfall was recorded on 15 April 2021. The precipitation may have an impact on the effectiveness of FWT of wastewater. Heavy rainfall can create strong currents and increase in water levels, which may damage or uproot the plants, which can reduce the plant's ability to take up pollutants. On the other hand, moderate rainfall can provide a beneficial source of nutrients and help to maintain the water levels necessary for plant growth and pollutant uptake.

Sewage water characterization

In FWT processes, the wastewater quality may be improved by plants' and microbes’ physiochemical and biological functions (Ijaz et al. 2016). Physiochemical characteristics of domestic sewage were collected from the sewage treatment facility in Arakkonam, Tamil Nadu, India (Afzal et al. 2019a; Table 1).

Table 1

Physiochemical characteristics of domestic sewage

Water parametersDomestic sewage concentrationPermissible limits as per Indian standards
E. coli 1,600 5,000 MPN/100 mL 
BOD @ 5 days 92 30 mg/L @ 3 days 
COD 230.8 250 mg/L 
EC 2,042 – 
DO 6.4 4 mg/L, min 
Ammonia 11.3 5.0 mg/L 
Phosphate 8.2 5.0 mg/L 
Potassium 13 – 
Sodium 96 – 
Total Hardness 430 – 
Total Nitrogen 13.2 100 mg/L 
Total Phosphorus 3.6 – 
pH 5.8 5.5–9.0 
TDS 1,285 1,500 mg/L 
TSS 48 100 mg/L 
Turbidity 15 – 
Colour 40 300 Hazen units 
Water parametersDomestic sewage concentrationPermissible limits as per Indian standards
E. coli 1,600 5,000 MPN/100 mL 
BOD @ 5 days 92 30 mg/L @ 3 days 
COD 230.8 250 mg/L 
EC 2,042 – 
DO 6.4 4 mg/L, min 
Ammonia 11.3 5.0 mg/L 
Phosphate 8.2 5.0 mg/L 
Potassium 13 – 
Sodium 96 – 
Total Hardness 430 – 
Total Nitrogen 13.2 100 mg/L 
Total Phosphorus 3.6 – 
pH 5.8 5.5–9.0 
TDS 1,285 1,500 mg/L 
TSS 48 100 mg/L 
Turbidity 15 – 
Colour 40 300 Hazen units 

Pollutant removal efficiency calculation

The removal efficiency (E) for each physiochemical parameter of wastewater treated using a floating wetland with four different terrestrial plant species was calculated using the following equation and expressed in terms of percentage (%) (Gao et al. 2017):
where Cin is the average initial concentration of raw domestic sewage for each parameter and Cout is each parameter's final average effluent concentration (Bauer et al. 2021).

Statistical analysis

The statistical analysis was performed using IBM SPSSV23 (Lyu et al. 2020; Yasin et al. 2021); Kolmogorov–Smirnov and Shapiro–Wilks tests were used to determine the normality of data (Li & Guo 2017; Spangler et al. 2019). The non-parametric Kruskal–Wallis tests were applied when the data were non-parametric for the treatment comparison (p < 0.05) (Hu et al. 2010a; Tharp et al. 2019). The Kruskal–Wallis H-tests mean rank sums of 16 physiochemical parameters for each species were used to compare the effect of the different species (Lynch et al. 2015). In addition, the significance of each component can be assessed using the test statistics (chi-squared statistics, the degrees of freedom, and statistical significance of the test), which presents the result of the Kruskal–Wallis H-test (Keizer-Vlek et al. 2014). The variance of pollutant removal between four plant species (mean rank of species) was compared using the Kruskal–Wallis H-test.

Turbidity, TSS, pH, and TDS removal

FWT-OT reduced the turbidity level to 0.7 NTU from 15 NTU and achieved a maximum removal efficiency of 95.33% within 3 days contact time during 25 days HRT compared to the FWT with other plant species. However, all four plants’ turbidity average removal efficiency was ranked as FWT-OT > FWT-CZ > FWT-CI > FWT-HR. Turbidity removal efficiencies for FWT with four different plant species are presented graphically in Figure 6. Among all FWTs, the turbidity levels were found to be statistically significant (χ2 (3) = 8.156, p = 0.043 < 0.05). In a previous publication (Headley & Tanner 2008), a stormwater treatment system utilizing floating islands with four other species of macrophytes found that FWT's turbidity removal efficiency was 73.6% (Headley & Tanner 2008), slightly lower than the present study.
Figure 6

Pollutant concentration and percentage removal rate of (a) Turbidity, (b) TSS, (c) pH, (d) TDS, (e) TN, (f) TP, (g) Potassium, (h) Sodium, (i) Ammonia, (j) Phosphate, (k) EC, (l) DO, (m) TH, (n) BOD, (o) COD, and (p) E. coli.

Figure 6

Pollutant concentration and percentage removal rate of (a) Turbidity, (b) TSS, (c) pH, (d) TDS, (e) TN, (f) TP, (g) Potassium, (h) Sodium, (i) Ammonia, (j) Phosphate, (k) EC, (l) DO, (m) TH, (n) BOD, (o) COD, and (p) E. coli.

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The influent pH value was 5.8; phytoremediation processes using FWT with four different plants stabilized the effluent pH to 7.03, 6.1, 7.22, and 6 by FWT-CI, FWT-OT, FWT-CZ, and FWT-HR, respectively. The pH level was determined to be statistically not significant across all FWTs (χ2 (3) = 6.879, p = 0.076 > 0.05). These variations in pH were due to the CO2 uptake by microbes during respiration (Prajapati et al. 2017). The pH level was stabilized in all four floating wetlands using four terrestrial plants, with an average removal efficiency of −28.48, −24.22, −37.07, and −14.66% by FWT-CI, FWT-OT, FWT-CZ, and FWT-HR, respectively. This neutralization might be achieved due to the respiration of plant roots and microbes, resulting in CO2 release (Abed et al. 2017). pH is a critical physiochemical parameter for measuring turbidity levels in domestic sewage treatment (Table 2).

Table 2

Physiochemical characteristics of sewage water quality before and after floating wetland treatment during 0–25 days HRT

Floating wetland plantspH
TDS
TSS*
Turbidity*
InitialFinalRemoval rate %
InitialFinalRemoval rate %
InitialFinalRemoval rate %
InitialFinalRemoval rate %
MaxMinAvg.MaxMinAvg.MaxMinAvg.MaxMinAvg.
FWT-CI 5.8 7.03 −21.21 −35.00 −28.48 1,285 720 43.97 9.42 28.79 48 1.7 96.46 41.67 85.97 15 1.1 92.67 10.00 70.89 
FWT-OT 5.8 6.1 −5.17 −36.72 −24.22 1,285 950 26.07 19.46 23.40 48 8.1 83.13 78.75 81.32 15 0.7 95.33 78.67 89.33 
FWT-CZ 5.8 7.22 −24.48 −41.72 −37.07 1,285 658 48.79 14.55 35.62 48 15.3 68.13 51.25 60.45 15 1.36 90.93 58.67 78.58 
FWT-HR 5.8 −3.45 −36.21 −14.66 1,285 942 26.69 11.60 19.33 48 30 37.50 16.67 28.13 15 4.10 72.67 15.33 48.56 
Total Nitrogen
Total phosphorus
Potassium*
Sodium
Removal rate %
Removal rate %
Removal rate %
Removal rate %
InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.
FWT-CI 13.2 5.1 61.36 9.09 36.87 3.6 0.06 98.33 38.89 82.13 13 7.4 43.08 12.31 33.33 96 57 40.63 15.10 28.54 
FWT-OT 13.2 6.8 48.48 5.30 32.95 3.6 0.21 94.17 44.72 84.44 13 6.88 47.08 38.46 44.26 96 57.2 40.00 21 31.37 
FWT-CZ 13.2 1.86 85.91 31.67 68.96 3.6 0.27 92.5 70 84.91 13 3.28 74.77 59.15 66.95 96 45 53.13 15.62 39.53 
FWT-HR 13.2 7.0 46.97 16.67 31.82 3.6 0.8 77.78 16.67 50.46 13 7.3 43.85 15.38 32.82 96 51 46.88 7.29 35.28 
Total Hardness
Phosphate
Electrical conductivity*
Ammonia
Removal rate %
Removal rate %
Removal rate %
Removal rate %
InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.
FWT-CI 430 308 28.37 2.56 12.33 8.2 2.1 74.39 45.12 66.46 2,042 1,876 8.13 0.78 5.82 11.3 0.5 95.58 33.63 77.73 
FWT-OT 430 327 23.95 17.44 20.64 8.2 2.3 71.95 50.49 61.50 2,042 1,610 21.16 12.19 16.77 11.3 1.75 84.51 −59.29 44.32 
FWT-CZ 430 300 30.23 16.28 24.65 8.2 1.2 85.37 59.76 72.15 2,042 1,476 27.72 12.34 22.43 11.3 2.26 80 66.37 75.27 
FWT-HR 430 341 20.70 5.81 14.34 8.2 2.8 65.85 25.61 53.25 2,042 1,670 18.22 11.56 15.54 11.3 6.1 46.02 20.35 34.37 
 BOD
COD
Dissolved Oxygen
E. coli*
Removal rate %
Removal rate %
Removal rate %
Removal rate %
InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.
FWT-CI 92 5.4 94.13 72.83 88.28 230.8 17 92.63 64.56 85.07 6.4 3.5 45.31 10.94 28.65 1,600 870 45.63 18.75 35.67 
FWT-OT 92 9.8 89.35 85.65 87.21 230.8 30 87 80.94 85.08 6.4 3.6 43.75 17.19 31.77 1,600 1,305 18.44 16.25 17.89 
FWT-CZ 92 4.5 95.11 60.87 83.55 230.8 14 93.93 49.09 78.59 6.4 3.6 43.75 7.81 33.33 1,600 845 47.19 20 38.7 
FWT-HR 92 19.6 78.70 30.43 57.79 230.8 61.5 73.35 12.18 46.91 6.4 3.5 45.31 6.25 24.48 1,600 1,011 36.81 18.75 30.57 
Floating wetland plantspH
TDS
TSS*
Turbidity*
InitialFinalRemoval rate %
InitialFinalRemoval rate %
InitialFinalRemoval rate %
InitialFinalRemoval rate %
MaxMinAvg.MaxMinAvg.MaxMinAvg.MaxMinAvg.
FWT-CI 5.8 7.03 −21.21 −35.00 −28.48 1,285 720 43.97 9.42 28.79 48 1.7 96.46 41.67 85.97 15 1.1 92.67 10.00 70.89 
FWT-OT 5.8 6.1 −5.17 −36.72 −24.22 1,285 950 26.07 19.46 23.40 48 8.1 83.13 78.75 81.32 15 0.7 95.33 78.67 89.33 
FWT-CZ 5.8 7.22 −24.48 −41.72 −37.07 1,285 658 48.79 14.55 35.62 48 15.3 68.13 51.25 60.45 15 1.36 90.93 58.67 78.58 
FWT-HR 5.8 −3.45 −36.21 −14.66 1,285 942 26.69 11.60 19.33 48 30 37.50 16.67 28.13 15 4.10 72.67 15.33 48.56 
Total Nitrogen
Total phosphorus
Potassium*
Sodium
Removal rate %
Removal rate %
Removal rate %
Removal rate %
InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.
FWT-CI 13.2 5.1 61.36 9.09 36.87 3.6 0.06 98.33 38.89 82.13 13 7.4 43.08 12.31 33.33 96 57 40.63 15.10 28.54 
FWT-OT 13.2 6.8 48.48 5.30 32.95 3.6 0.21 94.17 44.72 84.44 13 6.88 47.08 38.46 44.26 96 57.2 40.00 21 31.37 
FWT-CZ 13.2 1.86 85.91 31.67 68.96 3.6 0.27 92.5 70 84.91 13 3.28 74.77 59.15 66.95 96 45 53.13 15.62 39.53 
FWT-HR 13.2 7.0 46.97 16.67 31.82 3.6 0.8 77.78 16.67 50.46 13 7.3 43.85 15.38 32.82 96 51 46.88 7.29 35.28 
Total Hardness
Phosphate
Electrical conductivity*
Ammonia
Removal rate %
Removal rate %
Removal rate %
Removal rate %
InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.
FWT-CI 430 308 28.37 2.56 12.33 8.2 2.1 74.39 45.12 66.46 2,042 1,876 8.13 0.78 5.82 11.3 0.5 95.58 33.63 77.73 
FWT-OT 430 327 23.95 17.44 20.64 8.2 2.3 71.95 50.49 61.50 2,042 1,610 21.16 12.19 16.77 11.3 1.75 84.51 −59.29 44.32 
FWT-CZ 430 300 30.23 16.28 24.65 8.2 1.2 85.37 59.76 72.15 2,042 1,476 27.72 12.34 22.43 11.3 2.26 80 66.37 75.27 
FWT-HR 430 341 20.70 5.81 14.34 8.2 2.8 65.85 25.61 53.25 2,042 1,670 18.22 11.56 15.54 11.3 6.1 46.02 20.35 34.37 
 BOD
COD
Dissolved Oxygen
E. coli*
Removal rate %
Removal rate %
Removal rate %
Removal rate %
InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.InitialFinalMaxMinAvg.
FWT-CI 92 5.4 94.13 72.83 88.28 230.8 17 92.63 64.56 85.07 6.4 3.5 45.31 10.94 28.65 1,600 870 45.63 18.75 35.67 
FWT-OT 92 9.8 89.35 85.65 87.21 230.8 30 87 80.94 85.08 6.4 3.6 43.75 17.19 31.77 1,600 1,305 18.44 16.25 17.89 
FWT-CZ 92 4.5 95.11 60.87 83.55 230.8 14 93.93 49.09 78.59 6.4 3.6 43.75 7.81 33.33 1,600 845 47.19 20 38.7 
FWT-HR 92 19.6 78.70 30.43 57.79 230.8 61.5 73.35 12.18 46.91 6.4 3.5 45.31 6.25 24.48 1,600 1,011 36.81 18.75 30.57 

*The experimental data set pertaining to Table 2 is provided in the supplementary file.

In the TSS removal, FWT-CI showed a maximum removal efficiency of 96.46% compared with other plant species and is ranked as FWT-CI > FWT-OT > FWT-CZ > FWT-HR. Among all FWTs, the TSS concentration was found to be statistically significant (χ2 (3) = 11.432, p = 0.010 < 0.05). The findings of results from this study are consistent with earlier research works (Borne et al. 2013; Abed et al. 2019; Kimbonguila et al. 2019). The removal efficiency by FWT for TSS and turbidity was achievable due to processes like sedimentation, biofilms and root systems entrapment, and biodegradation (Abed et al. 2019).

Figure 6 illustrates the amount of TDS in the effluent throughout the experimental work. The experiment's findings showed that the TDS dropped considerably over time. The physical and biological processes supported by floating wetlands reduced the TDS and TSS loads (Rehman et al. 2019b). The biofilms developed on the macrophyte roots trap the suspended solid particles in the water column. They either precipitate at the bottom or might be decomposed by the microbes through adsorption (Borne et al. 2013). Natural factors, including oxidation, adsorption, and the native function of microbial communities, may be responsible for the reduction of TDS and TSS. However, the combined effect of plants and bacterial invasion further accelerated the decline of these physical parameters from domestic wastewater. The TDS removal efficiency was observed, similar to the earlier research works studied with Cyperus ustulatus (swamp grass), Schoenoplectus tabernaemontani, Brachiaria mutica (wetland plants), and Leptochloa fusca (terrestrial plant) (Borne et al. 2014; Karstens et al. 2018; Yasin et al. 2021). FWT-CZ removed a maximum TDS of 48.79%, as shown in Figure 6(b). In contrast, FWT-CI, FWT-OT, and FWT-HR achieved their maximum removal of 43.97, 26.07, and 26.69% at 5, 20, and 15 days of contact time, respectively, during 25 days HRT as illustrated graphically in Figure 6(c). The TDS concentration was determined as statistically not significant across FWTs (χ2 (3) = 4.488, p = 0.213 > 0.05). The root structure that reaches the bottom of the system might be involved in the filtration or trapping of the suspended particles. Since the roots had direct contact with the wastewater, very fine or dissolved particles would have changed the microbial populations. Additionally, several earlier studies revealed that FWTs might enhance water quality by removing organic and inorganic pollutants from wastewater (Afzal et al. 2019b). In this study, the floating wetland with plants like Ch. zizanioides and C. indica developed a denser and more extensive root system in the water column, which is responsible for trapping the suspended and dissolved solid particles present in the wastewater column.

TN, TP, and potassium removal

The domestic sewage influent and effluent concentration of TN, TP, and potassium before and after treatment using a floating wetland was graphically represented in Figure 6(e)–6(g). Compared with the other three plants, the TN concentration was reduced more in FWT-CZ, with a maximum TN removal rate of 85.91%. FWT-CI, FWT-OT, and FWT-HR showed TN removal efficiency of 61.36, 48.48, and 46.97% at 25 days HRT. However, FWT-CZ showed a maximum TN removal efficiency after 15 days of interaction, reducing the TN concentration from 13.2 to 1.86 mg/L. The total nitrogen concentration was found to be statistically not significant among all FWTs (χ2 (3) = 5.449, p = 0.142 > 0.05). The nitrogen removal pathway was attained by floating wetland plant uptake; the microenvironment of the plants’ rhizosphere was changed when the plants above water were harvested, which directly impacted the nitrogen absorption capacity of emergent aquatic perennial plant roots (Iris pseudacorus) (Sun et al. 2019).

FWT-CI significantly reduced TP concentration from 3.6 to 0.06 mg/L within 10 days of contact during their 25 days HRT with a maximum removal efficiency of 98.33% (avg. 82.13%) compared with the other three plants. However, the other plants, FWT-OT, FWT-CZ, and FWT-HR, achieved removal efficiency of 94.17% (avg. 82.13%), 92.5% (avg. 84.9%), and 77.78% (avg. 50.46%), respectively, as illustrated in Figure 6(f). The total phosphorus concentration was found to be statistically not significant among all FWTs (χ2 (3) = 5.654, p = 0.130 > 0.05). TP removal was achieved due to the FWT's ability to remove phosphorus being influenced by the growth rate power of tissues of the C. indica species to absorb phosphorus. A previous study reported that TP removal by FWTs in treating stormwater after 7 days ranged from 28 to 58% (Tanner & Headley 2011).

FWT-CZ reduced potassium from an initial concentration of 13 to 3.28 mg/L within 10 days of HRT. Figure 6(h) shows this potassium reduction level and its removal efficiency at 3, 5, 10, 15, 20, and 25 days of HRT. The reduction was observed for FWT-CI from 13 to 7.4 mg/L, FWT-OT from 13 to 6.88 mg/L, and FWT-HR from 13 to 7.3 mg/L (Figure 6(h)). FWT-CI, FWT-OT, FWT-CZ, and FWT-HR were observed, with a maximum efficiency of 43.08, 47.08, 74.77, and 43.85% and an averaging removal efficiency of 33.33, 44.26, 66.95, and 32.82%, respectively, at 25 days HRT. The potassium concentration was statistically significant among all FWTs (χ2 (3) = 10.624, p = 0.014 < 0.05).

In artificial wetlands, macrophytes are crucial to the nitrogen removal process. Plants can directly contribute by absorbing nitrogen from water bodies for growth. In addition, the root's perspiration provides a carbon source as an electron donor in microbial denitrification (Wang et al. 2014). In this study, the TN removal efficiency observed aligns with the efficiency achieved (78.2 and 65.5%) by floating constructed wetlands using substrates (Cao et al. 2016). The test results of the terrestrial plant employed in this study are similar to the TN removal reported in earlier studies (39% at 3 days HRT) (Gao et al. 2017). According to results observed from this study on TN and TP removal, microbial conversion was the main pathway for nitrogen removal (Spangler et al. 2019). Many earlier studies reported TN and TP removal efficiencies of 41 and 37% using Carex appressa – perennial grass (Benvenuti et al. 2018). Similarly, the FWTs with C. indica reduced TP and TN up to 10.5 and 11.8% from polluted river water (Fang et al. 2016); this removal efficiency was lower than our study findings. In addition to this, a previous study also reported that the combined effects of adsorption by the microbes, plant uptake ability, and sedimentary process of FWT would probably result in the overall removal of TP (47.7%) and TP (79.0%) using Juncus effusus (a terrestrial perennial plant) (Bin Chang et al. 2013).

Sodium, ammonia, and phosphate removal

The influent sodium concentration is 96 mg/L, and the sodium concentration in the effluent ranged between 45 and 89 mg/L; the average removal efficiency of 28.54, 31.37, 39.53, and 35.28% was observed for FWT-CI, FWT-OT, FWT-HR, and FWT-CZ, respectively, at 25 days HRT. In the sodium removal, it was observed that FWT-CZ (max. 53.13%) showed higher removal efficiency than FWT-HR (max. 46.88%), FWT-CI (40.63%), and FWT-OT (max. 40%), as shown in Figure 6(g). Among all FWTs, the sodium concentration was found to be statistically not significant (χ2 (3) = 2.706, p = 0.439 > 0.05).

Ammonia initial concentration was recorded as 11.3 mg/L in domestic raw sewage, and their removal efficiency by FWT-CI was achieved with min. 33.63% and max. 95.58% (average 77.73%), for FWT-OT with min. −59.29% and max. 84.51% (average 44.32%), for FWT-CZ with min. 66.37% and max. 80% (average 75.27%), and for FWT-HR min. 20.35% and max. 46.02% (average 34.37%). Figure 6(i) shows that FWT-CI removed more ammonia than FWT-OT, FWT-HR, and FWT-CZ. Among all FWTs, the ammonia concentration was found to be statistically not significant (χ2 (3) = 5.580, p = 0.134 > 0.05). The rapid decrease in NH3 concentration was due to increased NH4 and NO3 levels, indicating that the nitrification process used more energy to convert NH3 to NO3 (Effendi et al. 2020). Most effluents have a lower overall removal of NH3 than nutrient solutions, and unknown factors may be at play in this phenomenon. The amount of NH3 in the water can also be decreased by the volatilization of ammonium ions into ammonia (Tchobanoglous et al. 2014). 51.1% of NH3-N was removed, and the overall variations in hydrological conditions and the biogeochemical cycles already functioning in the pond impacted nutrient removal (Bin Chang et al. 2013). The concentration of ammonia in wastewater is known to increase with rising temperatures. This is because the bacteria responsible for converting ammonia to nitrate and nitrite, which are less harmful compounds, thrive in warm conditions. Thus, in warm water, the bacteria are more active, and more ammonia is converted to nitrate and nitrite, leading to a decrease in ammonia levels (Bin Chang et al. 2013). However, when temperatures drop suddenly due to rainfall, the ability of floating plants to remove ammonia may be reduced. In this investigation, a sudden drop in the removal rate of ammonia between 69 and 13% (3.5–9.8 mg/L) was observed, which is attributed to the decrease in temperature from 42 to 32 °C due to the sudden change in weather. Plants like O. tenuiflorum are cold-blooded and their metabolic processes slow down as temperature decreases; as a result, their ability to take up ammonia may be reduced. It was also documented that at low temperatures, macrophyte growth and root development rates were reduced in constructed floating wetlands with a lower removal rate of ammonia (Hu et al. 2010b; Van De Moortel et al. 2010; Li et al. 2012; Cao et al. 2016; Fang et al. 2016; Gao et al. 2017; Samal et al. 2019; Tharp et al. 2019; Effendi et al. 2020).

The phosphate concentration of raw sewage was reduced from 8.2 to 2.1, 2.3, 1.2, and 2.8 mg/L for FWT-CI, FWT-OT, FWT-CZ, and FWT-HR, respectively. The removal efficiency of FWT-CI, FWT-OT, FWT-CZ, and FWT-HR varied as min. 45.12% and max. 74.39% (average 66.46%), min. 50.49% and max. 71.95% (average 61.50%), min. 59.76% and max. 85.37% (average 72.15%), and min. 25.61% and max. 65.85% (average 53.25%), respectively. However, the vegetated FWT showed enhanced removal of PO4 from the polluted water (Ijaz et al. 2015).

Electrical conductivity, dissolved oxygen, and total hardness

At the beginning of the experiment, the electrical conductivity of the raw sewage was recorded as 2,042 μs/cm. Then, it was considerably reduced to 1,876, 1,610, 1,476, and 1,670 μs/cm with an average removal efficiency of 5.82, 16.77, 22.43, and 15.54% concerning FWT-CI, FWT-OT, FWT-CZ, and FWT-HR at 25 days HRT. In addition, the EC levels among all FWTs were found to be statistically significant (χ2 (3) = 10.536, p = 0.015 < 0.05). Among all FWTs, the dissolved oxygen level was found to be statistically not significant (χ2 (3) = 0.863, p = 0.834 > 0.05). Although nutrient uptake by plants is influenced by the availability of dissolved oxygen levels in the wastewater, a greater DO level is advantageous for N and P removal under aerobic conditions. The effluent DO increase in all four treatment units is shown in Figure 6 (Bu & Xu 2013). The growth of floating plants on the water surface reduced the oxygen exchange between the water surface and atmosphere, which caused the DO content to tend to decline during the treatment. Plant respiration, mainly via root systems, may also be responsible for decreased dissolved oxygen concentration (Sudiarto et al. 2019).

The TH concentration among all FWTs was found to be statistically not significant (χ2 (3) = 5.841, p = 0.120 > 0.05). The removal efficiency of TH in FWT-CI, FWT-OT, FWT-CZ, and FWT-HR was observed as min. 2.56% and max. 28.37% (average 12.33%), min. 17.44% and max. 23.95% (average 20.64%), min. 16.28% and max. 30.23% (average 24.65%), and min. 5.81% and max. 20.70% (average 14.34%), respectively. The TH concentration of raw sewage was decreased from 430 to 308, 327, 300, and 341 mg/L for FWT-CI, FWT-OT, FWT-CZ, and FWT-HR, respectively.

BOD, COD removal, and E. coli removal

Microorganisms developed on the roots and rhizomes of the plants in floating wetlands are imperative in removing organic matter from domestic wastewater. However, additional procedures, including filtration, nutrient absorption, and oxygenation, remove organic compounds from the water column. The relationship between BOD and COD is the primary factor in identifying the presence of organic matter and its degradability. According to earlier studies, BOD/COD ratio greater than 0.5 contains a more incredible amount of organic matter. In the present study, this ratio ranged between 0.3 and 0.8, indicating the absence of toxic components and the readiness in biodegradable conditions (Shahid et al. 2018).

When domestic sewage was treated using C. indica and vetiver plants, the concentration of BOD was dramatically reduced to 4.5 mg/L. Among all four FWT systems, BOD removal efficiency during the HRT of 0–25 days was the maximum for FWT-CZ at 95.11%. Based on the average removal rates, FWT-CI (average 88.28%) > FWT-OT (average 87.21%) > FWT-CZ (average 83.55%) > FWT-HR (average 57.79%). Among all FWTs, the BOD concentration was found to be statistically not significant (χ2 (3) = 6.733, p = 0.081 > 0.05). According to previous publications, biological oxygen demand levels were significantly lowered using floating wetlands; as a result, elimination efficiency ranged from 87.2 to 95% (Prajapati et al. 2017). The results of this investigation are also consistent with earlier removal rates of BOD (93%) (Rehman et al. 2019b).

Concerning COD removal efficiency, both the C. indica and vetiver plant species showed COD removal rates of max. 92.63% and min. 64.56% (avg. 85.07%), and max. 93.93% and min. 49.09% (avg. 78.59%), respectively. In contrast, O. tenuiflorum and H. rosa-sinensis plants achieved a maximum removal efficiency of 87% and min. 80.94% (average 85.08%) and max. 73.35% and min. 12.18% (average 46.91%), respectively. Among all FWTs, the COD concentration was found to be statistically not significant (χ2 (3) = 6.584, p = 0.086 > 0.05). The COD removal efficiency of our study is higher than the findings of previous publications of 90% removal efficiency using Vetiveria zizanioides (terrestrial plant) (Rehman et al. 2019b) and an average removal of 60% using Pistia stratiotes (hydrophytes) and Eichhornia crassipes (free floating plant) (Prajapati et al. 2017; Tusief et al. 2019).

Out of four FWTs, those with C. indica and Vetiver grass considerably decreased the initial concentration of E. coli, dropping to 850 and 870 MPN/100 mL with an efficiency of 46.88 and 45.63% to other treatments. FWT-OT and FWT-HR achieved the maximum and minimum removal efficiencies of 18.44 and 16.25% and 36.81 and 18.75%, respectively, at 25 days HRT. However, vetiver and C. indica plants showed higher E. coli removal efficiencies of 47.19 and 45.63%, respectively, than the other two plant species. The E. coli concentration among all FWTs was found to be statistically significant (χ2 (3) = 9.268, p = 0.026 < 0.05).

This study demonstrated and evaluated the ability of terrestrial plant species such as C. indica, O. tenuiflorum, Ch. zizanioides, and H. rosa-sinensis in the FWT to reduce pollutant concentration levels in domestic sewage. The floating wetland treatment with C. indica (FWT-CI) was found to be the best in the removal of turbidity (92.67%), TSS (96.46%), TP (98.33%), ammonia (95.58%), and DO (45.31%) but Ch. zizanioides (FWT-CZ) showed the highest reduction for TDS (48.79%), TN (85.91%), sodium (53.13%), potassium (74.77%), phosphate (85.37%), EC (27.72%), COD (93.93%), BOD (95.11%), E. coli (47.19%), TH (30.23%), and pH (−24.48%). However, the other floating wetland system with O. tenuiflorum plant showed the highest removal for turbidity (95.33%) and also effectively removed TP (94.17%), potassium (47.08%), ammonia (84.51%), DO (43.75%), and EC (21.16%). Additionally, FWT-HR (H. rosa-sinensis) considerably removed pollutants from the municipal sewage like turbidity (72.67%), TP (77.78%), TN (46.97%), potassium (43.85%), phosphate (65.85%), ammonia (46.02%), DO (45.31%), EC (18.22%), COD (73.35%), and BOD (78.70%). The findings of this research made it clear that terrestrial plants had the highest rate of removal of different pollutants from domestic sewage, emphasizing that C. indica and Ch. zizanioides have significant potential for treating domestic wastewater. However, before implementing FWT, it is essential to thoroughly analyse these plants’ diverse capacities for effective plant-microbe interaction over an extended period. Our investigation leads us to the conclusion that the FWTs with terrestrial plants could be a potential alternative to traditional wastewater technology to treat domestic sewage and polluted water. In arid and semi-arid regions, the use of an FWT system can be a crucial management measure for addressing water scarcity. The system is sustainable, cost-effective, and easy to maintain, making it a practical solution for areas with limited resources. Furthermore, regular maintenance is necessary to ensure that the floating wetland remains healthy and effective in treating water. This includes removing any dead or decaying plant material, monitoring the water quality, and adding new plants, growth medium or compost as needed. The recognition of this system's effectiveness promotes more sustainable and effective water management practices in water-scarce areas.

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

The authors declare there is no conflict.

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