Eliminating parasites in fecal sludge (FS) remains one of the major concerns in developing countries. To address this issue, experiments were conducted in triplicate vertical-flow constructed wetland (VFCW) units corresponding to free flow, 7 days and 14 days of retention time (RT). The effect of plant density on the system's performance was monitored in each planted bed unit and compared to the non-planted unit (standard). Following a bi-monthly application rate of FS at a nominal load of 200 kg TS m−2 year−1, the performance of the system in terms of helminth egg removal was calculated for each hydraulic RT tested. Untreated FS applied on the bed units contained high parasitic egg loads with a median number of 62.51 helminth eggs/g. The removal efficiencies of helminth eggs ranged from 82 to 100% in the leachates and were affected by the hydraulic RTs and the presence of plants (p < 0.05). On the other hand, accumulated biosolids on the bed units still contained high concentrations of pathogens exceeding the WHO standards and should not be applied directly in agriculture.

  • The helminth egg analysis of the untreated fecal sludge revealed high concentrations with seven main species identified.

  • Fecal sludge treatment using the VFCW unit was not efficient enough to remove all helminth egg species.

  • The presence of plants and increase in retention times were found to positively affect the removal of helminth eggs in FS (p < 0.05).

Graphical Abstract

Graphical Abstract
Graphical Abstract

Fecal sludge (FS) is produced in on-site sanitation technologies (e.g., pit latrines and septic tanks), and the result of the collection, storage or treatment of excreta and blackwater (Stenström et al. 2011; Tilley et al. 2014; Strande et al. 2018). The direct discharge of raw FS into the environment was found to be a major environmental and public health concern in many studies (Soh Kengne et al. 2014; Letah Nzouebet et al. 2016; Strande et al. 2018; Velkushanova et al. 2021; Tanoh et al. 2022). Recent outbreaks of waterborne diseases have raised public concerns regarding the safety of water resources (Prüss-Ustün et al. 2019). One of the major barriers to FS reuse is concerns regarding the health risk associated with chemical and microbiological contaminants (Stenström et al. 2011; Letah Nzouebet et al. 2016).

Annually, FS discharge is increasing in Cameroon as many cities operate latrine-based sanitation systems and face continuous population growth (Berteigne 2012; Soh Kengne et al. 2014; Douanla Maffo et al. 2019). Nowadays, vertical-flow constructed wetlands (VFCWs) have become a popular option for FS treatment and have been recognized as attractive alternatives to conventional FS treatment methods (Kengne et al. 2011; Ronteltap et al. 2014; Kouawa et al. 2015; Seck et al. 2015). This is due to their high removal efficiency, easy operation and maintenance, low-energy requirements, high rates of water recycling and potential for providing significant wildlife (Kadlec & Wallace 2008). The lack of knowledge about this eco-technology may be one of the main factors leading to the uncontrolled discharge of untreated FS into the environment (Kengne et al. 2011). One of the threats associated with FS is soil-transmitted helminthiasis (STH), a neglected tropical disease (Yen-Phi et al. 2010; Appiah-Effah et al. 2015; Seck et al. 2015). Ascariasis is the most common STH and endemic in Africa (Jimenez 2007). Even though the mortality rate is low, most of the people infected are children under 15 years with problems of faltering growth and/or decreased physical fitness. To stop or interrupt the spread of helminthic diseases, the treatment of FS is a necessity as it provides a barrier and prevents STH from entering the environment.

Several operational variables and design factors have been found to affect the reduction of helminth eggs in VFCW. Indeed, Sonko et al. (2015) pointed out the reduction of helminth eggs in FS to be affected by hydraulic loading. Manga et al. (2016) revealed the effect of sand filter media thickness on the removal performance of helminth eggs in FS drying beds. The objective of the present study was to evaluate the performance of the system implementing different operational strategies (free flow, 7 days of retention time (RT) and 14 days of RT) as well as the influence of planted unit in terms of helminth eggs removal.

Study site

This study was conducted with a pilot-scale VFCW at the University of Yaounde I, Cameroon. The field site is located 760 m above sea level at 3 °45 N and 11 °32 E and has a typical equatorial Guinean climate characterized by two rainy seasons (September–mid-November and mid-March–June) and two dry seasons (mid-November–mid-March and July–August). The annual average rainfall is 1,600 mm and the average daily temperature is 22–35 °C.

Experimental setup

The pilot-scale setup consisted of 1 m3 plastic containers, each representing a 1 m2 (standard) sludge drying bed or VFCW (Figure 1). All containers were filled with three layers of filter media, increasing grain size from top to bottom. The layers consisted of 15 cm of sand, 20 cm of semi-coarse gravel and 30 cm of coarse gravel. The uniformity coefficients from the sand, semi-coarse gravel and coarse gravel layers were 3.55, 1.67 and 1.37.
Figure 1

(a) A schematic diagram and (b) experimental view of the planted bed units used for FS dewatering (Adapted from Kengne et al. 2008).

Figure 1

(a) A schematic diagram and (b) experimental view of the planted bed units used for FS dewatering (Adapted from Kengne et al. 2008).

Close modal

The experiment ran for 9 months corresponding to one vegetative cycle of Echinochloa pyramidalis including 1 month of plant acclimatization. All planted containers were planted using nine stems of E. pyramidalis per container. After planting, they were submerged in tap water and kept flooded for a month. After this period, the containers were washed with tap water until the analysis of leachate confirmed that no constituents of concern (e.g., nutrients) were leaching out, as well as that there were not any other differences found among the replicated containers. The triplicated different containers (excluding the unplanted unit) were distinguished on the field with the numbers 1, 2 and 3. The letters A, B and C represented, respectively, free flow, 7 days and 14 days of RT. For any given treatment combination, the containers were fed in a batch mode in order to allow sufficient oxygenation, based on the findings of Kaiser & Fuchs (2015).

Monitoring of the system performance

The application of FS began after the acclimatization of the young shoots. FS was applied every 14 days for 32 weeks following the nominal load of 200 kg TS m−2 year−1 (Kengne et al. 2009). Among the FS samples received at the experimental station in vacuum trucks (n = 16), eight samples came from septic tanks (50%), three from traditional pit latrines (18.75%) and five from public toilets (31.25%). Before the application of FS on the bed units, some physicochemical parameters such as nitrogen ammonia (NH4-N), dry matter (DM) and pH known to affect the helminth eggs survival in FS samples were analyzed (Pecson et al. 2007). Raw FS and leachates were collected and analyzed for physicochemical parameters as outlined in the standard methods for the examination of water and wastewater (APHA/AWWA/WEF 2005). Helminth egg reduction was determined in the incoming sludge and outlet leachates as a function of the retention times tested (free flow, 7 days and 14 days). The ‘free flow’ or free-drainage wetland means without hydraulic retention compared to other operational units operating with hydraulic retention (7 days of hydraulic retention and 14 days of hydraulic retention). Helminth eggs were analyzed according to Schwartzbrod & Banas (2003). At the end of the experiment, three samples of biosolids accumulated on the surface of each bed unit were randomly sampled using the drilling method. Samples were air-dried and sieved before further analysis. Analysis for helminth eggs was performed on approximately 25 g of biosolid mixtures collected in each bed unit according to the retention times tested following the protocol of Schwartzbrod & Banas (2003).

The growth response of E. pyramidalis was measured every 2 weeks during the study by counting the plant density for each entire bed unit. To assess the effect of vegetation on the removal efficiency of the systems, the quality of the outlet leachates of each planted bed unit was compared to the quality of that from the unplanted bed unit (Standard). Effects of RT on the performance of the system were assessed taking into consideration three retention times: free flow, 7 days and 14 days. The ratio between the applied sludge (inlet) and the collected leachates (outlet) was evaluated depending on the hydraulic RT tested. The statistical comparison between the results was done in order to see the effect of the hydraulic RT and vegetation on the performance of the system.

Data analysis

Analysis of variance (ANOVA) at p = 0.05 was carried out to compare the operational behavior data of the system. The evaluated factors were RT and vegetation, while the variables were helminth eggs, pH, NH4-N and DM. Sixteen measurements were collected (two per month) per variable for each incoming sludge and leachates. Before the ANOVA test, normality and variance homogeneity were tested using the Levene tests. Helminth egg detection frequencies as well as the distribution of their diversity in samples were examined. Descriptive statistics of samples were undertaken to express the parameters' dispersion. Due to the non-normal distribution in the prevalence and diversity of helminth eggs in this study, Kendall's Tau and Spearman's rank tests were computed to assess the relationship between the total helminth eggs in samples as well as the description of the relationship between the helminth eggs and physicochemical parameters of the sludge (NH4-N, DM, pH and temperature).

Quality of the raw FS applied on beds

The FS originating from septic tanks, public latrines and traditional pit latrines showed a very high variation between the various campaigns as shown in Table 1. The recorded mean concentrations were in the order of 10.30% DM, 0.25 g/L NH4-N, 31.14 °C temperature and a pH of 7.89. Generally, FS samples in this study were found to contain lower concentrations of the analyzed parameters when compared to manually direct sampled FS from on-site sanitation systems. An explanation for the difference is the dilution factor because usually, water is added to FS during mechanical emptying. Several studies pointed out the influence of emptying modes as factors responsible for the quality of FS (Kengne et al. 2008; Bassan et al. 2013; Eliyan et al. 2021). FS samples from traditional pit latrines showed higher concentrations when compared to samples originating from other on-site sanitation systems analyzed in this study. Indeed, Koné & Strauss (2004) working on the FS treatment options in developing countries, and Letah Nzouebet et al. (2016) have shown that the FS from the traditional pit latrines is very concentrated compared to those from septic tanks.

Table 1

Physicochemical characteristics of untreated FS applied to planted drying beds (n = 16) as compared to FS samples directly collected from on-site sanitation systems in Cameroon (n = 30) (Letah Nzouebet et al. 2016) and Cambodia (n = 194) (Eliyan et al. 2021)

Untreated, raw sludgeDM (%)NH4-N (g/L)pHTemperature (°C)
Mean 10.31 0.25 7.89 31.14 
Std deviation 9.08 0.57 0.70 2.09 
Minimum 0.77 0.1 6.75 27.6 
Maximum 32.4 1.48 8.94 34.5 
Eliyan et al. (2021)  0.016–0.67 5.03–8.80 28.3–35.7 
Letah Nzouebet et al. (2016)  32.7–55.5 0.01–2.5 5.9–8.9 
Untreated, raw sludgeDM (%)NH4-N (g/L)pHTemperature (°C)
Mean 10.31 0.25 7.89 31.14 
Std deviation 9.08 0.57 0.70 2.09 
Minimum 0.77 0.1 6.75 27.6 
Maximum 32.4 1.48 8.94 34.5 
Eliyan et al. (2021)  0.016–0.67 5.03–8.80 28.3–35.7 
Letah Nzouebet et al. (2016)  32.7–55.5 0.01–2.5 5.9–8.9 

The helminth egg analysis of the untreated FS revealed high concentrations (Table 2). Even though the number of samples was statistically insufficient to represent the whole city, a total number of 62.51 helminth eggs/g DM was obtained. Among these, seven predominant species of helminth eggs were identified. These species included Ascaris lumbricoides (28.95 eggs/g DM), Enterobius vermicularis (18.06 eggs/g DM), Strongyloides stercolaris (22.68 eggs/g DM), Trichuris trichiura (16.18 eggs/g DM), Schistosoma mansoni (9.96 eggs/g DM), Hymenolepis nana (9.59 eggs/g DM) and Fasciola hepatica (35.88 eggs/g DM).

Table 2

Diversity and concentrations (eggs/g of DM) of helminth eggs found in samples (n = 16)

Helminth egg speciesnMedianStd deviationMinimumMaximum
Ascaris lumbricoides 11 28.95 16.91 1.94 62.68 
Enterobius vermicularis 18.06 12.48 7.17 38.78 
Fasciola hepatica 35.88 16.85 2.81 37.56 
Hymenolepis nana 9.59 3.42 6.62 14.56 
Schistosoma mansoni 9.96 
Strongyloides stercoralis 22.68 18.80 8.49 75.12 
Trichuris trichiura 16.18 21.79 13.34 52.43 
Total helminth eggs 16 62.51 43.29 9.96 143.54 
Helminth egg speciesnMedianStd deviationMinimumMaximum
Ascaris lumbricoides 11 28.95 16.91 1.94 62.68 
Enterobius vermicularis 18.06 12.48 7.17 38.78 
Fasciola hepatica 35.88 16.85 2.81 37.56 
Hymenolepis nana 9.59 3.42 6.62 14.56 
Schistosoma mansoni 9.96 
Strongyloides stercoralis 22.68 18.80 8.49 75.12 
Trichuris trichiura 16.18 21.79 13.34 52.43 
Total helminth eggs 16 62.51 43.29 9.96 143.54 

A total number of eggs ranged between 9.96 and 143.54 eggs/g of DM matching the results of other studies for FS produced in the tropical regions (Heinss et al. 1998; Yen-Phi et al. 2010; Seck et al. 2015; Letah Nzouebet et al. 2016). In terms of helminth egg species abundance, the predominance of Ascaris lumbricoides eggs as well as the F. hepatica and S. stercoralis can be explained by their high resistance to environmental conditions (Pecson et al. 2007; Maya et al. 2019) and their prevalence among the population, where the FS samples originated from Letah Nzouebet et al. (2016). In order to understand the effects of FS helminth egg variability, the correlation between the physicochemical parameters and the helminth eggs was analyzed. Figure 2 shows the positive correlations between the DM and the total helminth eggs (R2 = 0.36), and between the pH and the total helminth eggs (R2 = 0.34). However, no correlation was observed between the NH4-N and the total helminth eggs (R2 = 0.1414) and between temperature and total helminth eggs (R2 = 0.0349). Although ammonia concentrations in sludge are rarely reported, its presence could have an important effect on the efficiency of the treatment. It was shown that an increase in pH may be favorable for the conversion of NH4+ to NH3, a chemical element that is known to inactivate many pathogenic organisms (Thangarajan et al. 2014). Our results confirm that the elimination mechanisms of DM in wastewater treatment plants are the same for helminth eggs because they behave like particles (suspended solids) (Jimenez et al. 2000).
Figure 2

Correlation test (Kendall's Tau and Spearman's rank) between FS parameters ((a) total helminth eggs vs. NH4-N; (b) total helminth eggs vs. DM; (c) total helminth eggs vs. pH; (d) total helminth eggs vs. temperature).

Figure 2

Correlation test (Kendall's Tau and Spearman's rank) between FS parameters ((a) total helminth eggs vs. NH4-N; (b) total helminth eggs vs. DM; (c) total helminth eggs vs. pH; (d) total helminth eggs vs. temperature).

Close modal

Quality of the outlet leachates

The leachate samples had a pH ranging from 6.48 to pH ≤ 7.51 (Table 3). Only a slight variation of the pH in leachates from the planted beds was observed independent of the hydraulic retention times tested: 7.65 ± 0.52 (free flow), 7.68 ± 0.57 (7 days of RT) and 7.67 ± 0.51 (14 days of RT). Only the unplanted drying bed showed a slightly lower pH of 7.59 ± 0.46. On an average basis, a significant reduction of the outflow concentrations of DM and NH4-N was noted in each bed unit irrespective of the hydraulic retention times and growth of plants (p < 0.05). The concentration of NH4-N decreased from 0.63 ± 0.57 to 0.08 ± 0.06 g/L for free flow, to 0.09 ± 0.06 g/L for 7 days of RT, 0.08 ± 0.06 g/L for 14 days of RT and to 0.09 ± 0.05 for unplanted drying beds (p < 0.05). The DM concentration decreased from 10.53 ± 9.80% to 0.76 ± 0.30% for free flow, to 0.68 ± 0.28% for 7 days of RT, to 0.52 ± 0.22% for 14 days of RT and to 0.93 ± 0.38% for unplanted drying bed (control test). This study revealed that an increase in RT was coupled with the reduction of FS physicochemical parameters. The DM removal is the result of a complex set of internal processes, including the sedimentation and production of transportable solids by wetland biota (Kadlec & Wallace 2008; Vymazal & Kröpfelová 2009). After the treatment in the VFCW, the NH4-N concentration in the leachate has not met the requirements of the Cameroonian guideline for safe water irrigation in agriculture (<30 mg/L) (MINEPDED 2008).

Table 3

Physicochemical characteristics of the outlet leachates (n = 16)

ParamtersStatisticsFree flow7 days of RT14 days of RTUBMINEPDEDa
pH Mean 7.65a 7.68a 7.67a 7.59a 6–9 
Std deviation 0.52 0.57 0.51 0.46 
Minimum 6.85 6.85 6.85 6.69 
Maximum 8.73 8.44 8.47 8.47 
NH4-N (g/L) Mean 0.07a 0.08a 0.09b 0.08a < 0.03 
 Std deviation 0.06 0.06 0.06 0.06 
Minimum 0.01 0.01 0.01 0.01 
Maximum 0.18 0.24 0.18 0.18 
DM (%) Mean 0.76b 0.67a 0.52a 0.93bc 
Std deviation 0.30 0.28 0.22 0.38 
Minimum 0.07 0.07 0.06 0.07 
Maximum 1.18 0.99 0.91 1.37 
Temperature (°C) Mean 29.75a 29.93a 29.21a 30.06b 30 
Std deviation 1.57 1.35 1.22 1.74 
Minimum 27.2 27.3 27.1 27.2 
Maximum 32 31.5 31.2 32.2 
ParamtersStatisticsFree flow7 days of RT14 days of RTUBMINEPDEDa
pH Mean 7.65a 7.68a 7.67a 7.59a 6–9 
Std deviation 0.52 0.57 0.51 0.46 
Minimum 6.85 6.85 6.85 6.69 
Maximum 8.73 8.44 8.47 8.47 
NH4-N (g/L) Mean 0.07a 0.08a 0.09b 0.08a < 0.03 
 Std deviation 0.06 0.06 0.06 0.06 
Minimum 0.01 0.01 0.01 0.01 
Maximum 0.18 0.24 0.18 0.18 
DM (%) Mean 0.76b 0.67a 0.52a 0.93bc 
Std deviation 0.30 0.28 0.22 0.38 
Minimum 0.07 0.07 0.06 0.07 
Maximum 1.18 0.99 0.91 1.37 
Temperature (°C) Mean 29.75a 29.93a 29.21a 30.06b 30 
Std deviation 1.57 1.35 1.22 1.74 
Minimum 27.2 27.3 27.1 27.2 
Maximum 32 31.5 31.2 32.2 

Note: RT: retention time; UB: unplanted drying beds; Std: standard. Values followed by the same letter are not significantly different from each other following the one-way ANOVA test, p < 0.05.

aCameroon guidelines for wastewater effluent discharge from the Ministry of Environment, Nature Protection and Sustainable Development in Cameroon (MINEPDED 2008).

In this study, sedimentation on the filter media (layer) seems to be the predominant removal mechanism, because the differences between free flow and retention times for longer periods are low, especially for the parameter pH. However, the reduction of NH4-N in the constructed wetlands is due to many reactions such as chemical reactions and plant uptake (Brix & Arias 2005; Dan et al. 2011).

As shown in Tables 4 and 7, the FS dewatering process on the drying beds was not efficient enough to remove all the helminth eggs. Similar results for helminth egg removal efficiency were obtained in unplanted drying beds (3.36 eggs/g DM) and planted drying beds operated as free flow (3.3 eggs/g DM) (p < 0.05). An increase in helminth egg reduction comes with an increase in the RT. With 7 days of RT, concentrations in the leachate were 2.7 eggs/g DM, and with 14 days of RT, only 2.25 eggs/g DM could be detected. However, the total helminth eggs recorded in leachate samples were observed during the first four campaigns of this study. Kadlec & Wallace (2008) pointed out the decrease observed in the reduction of the total helminth eggs to be the result of the predation, dehydration and RT which are the main mechanisms in planted drying beds. In addition, sedimentation and filtration are also common mechanisms for the elimination of helminth eggs in FS. Tchobanoglous et al. (2003) examined slow sand filtration and reported that helminth eggs and DM are trapped on the surface of the filter. Ingallinella et al. (2002) summarized various reports and showed that the treatment of FS in a planted drying bed reduced the concentration of helminth eggs between 600 and 6,000 helminth eggs/L of FS to 170 eggs/g DM.

Table 4

Variation of the total helminth eggs in the outlet leachates (n = 16)

UnitFree flow7 days of RT14 days of RTUB
Mean Number of eggs/g of DM 3.3b 2.7a 2.25a 3.36b 
Std 2.2 1.03 1.83 2.24 
Minimum 
Maximum 
UnitFree flow7 days of RT14 days of RTUB
Mean Number of eggs/g of DM 3.3b 2.7a 2.25a 3.36b 
Std 2.2 1.03 1.83 2.24 
Minimum 
Maximum 

Note: RT: retention time; UB: unplanted drying bed (standard); Std: standard.

Values followed by the same letter are not significantly different from each other following the one-way ANOVA test, p < 0.05.

Removal efficiencies

Physicochemical removal

The removal efficiencies of physicochemical parameters based on the difference in input and output fluxes showed a great variation within a same pilot bed and between campaigns (Tables 5 and 6). This removal efficiency varies between campaigns of the study. Removal efficiency ranged from 75 to 97% (DM) and from 79 to 96% (NH4-N). About NH4-N, the removal efficiencies recorded in this study were greater than those observed with vertical constructed wetlands operating in Europe for wastewater treatment (average of 40%) (Meyer et al. 2012; Kadlec & Wallace 2008). This reduction of nitrogen is due to plant uptake, adsorption, ammonia volatilization and denitrification (Kadlec & Wallace 2008). Looking at the DM, sedimentation could be the main removal mechanism. In tropical regions, it is possible to achieve DM percentages of at least 30% by treating FS on planted drying beds (Kengne et al. 2009).

Table 5

Evolution of the mean removal efficiency of NH4-N per campaign of the study in the function of the retention times tested

CampaignsMean removal_Free flowMean removal_7 days of RTMean removal_ 14 days of RTRemoval_UB
90.55 ± 9.04a 91.37 ± 6.53a 90.27 ± 7.52a 85.03b 
80.50 ± 8.98b 89.92 ± 7.33a 90.46 ± 5.92a 90.50a 
83.23 ± 3.64b 86.47 ± 3.65bc 83.52 ± 6.78b 72.85a 
91.22 ± 5.64b 88.20 ± 6.89a 90.89 ± 7.61b 90.22b 
92.42 ± 6.76b 93.20 ± 3.63b 92.02 ± 5.60b 89.45a 
81.72 ± 8.35a 84.47 ± 11.09b 81.96 ± 7.92a 81.72a 
85.04 ± 11.90a 88.06 ± 8.71b 87.90 ± 9.41b 89.46b 
97.72 ± 1.23a 98.04 ± 1.90a 98.04 ± 0.90a 97.03a 
88.67 ± 7.78a 91.72 ± 5.01b 90.39 ± 6.31a 88.66a 
10 93.95 ± 3.40b 92.58 ± 5.91a 92.62 ± 5.70a 89.35a 
11 91.64 ± 6.18b 85.96 ± 10.12a 86.25 ± 10.90a 89.64b 
12 90.66 ± 7.61a 91.89 ± 5.22a 90.09 ± 6.49a 90.99a 
13 95.53 ± 3.45a 96.05 ± 2.09a 95.53 ± 3.25a 94.46a 
14 77.39 ± 8.92a 81.73 ± 10.92bc 88.07 ± 9.14bd 89.16bd 
15 93.24 ± 5.24b 95.41 ± 2.24bc 90.90 ± 7.69a 93.24b 
16 88.31 ± 7.50a 90.40 ± 7.93a 89.97 ± 6.42a 88.07a 
CampaignsMean removal_Free flowMean removal_7 days of RTMean removal_ 14 days of RTRemoval_UB
90.55 ± 9.04a 91.37 ± 6.53a 90.27 ± 7.52a 85.03b 
80.50 ± 8.98b 89.92 ± 7.33a 90.46 ± 5.92a 90.50a 
83.23 ± 3.64b 86.47 ± 3.65bc 83.52 ± 6.78b 72.85a 
91.22 ± 5.64b 88.20 ± 6.89a 90.89 ± 7.61b 90.22b 
92.42 ± 6.76b 93.20 ± 3.63b 92.02 ± 5.60b 89.45a 
81.72 ± 8.35a 84.47 ± 11.09b 81.96 ± 7.92a 81.72a 
85.04 ± 11.90a 88.06 ± 8.71b 87.90 ± 9.41b 89.46b 
97.72 ± 1.23a 98.04 ± 1.90a 98.04 ± 0.90a 97.03a 
88.67 ± 7.78a 91.72 ± 5.01b 90.39 ± 6.31a 88.66a 
10 93.95 ± 3.40b 92.58 ± 5.91a 92.62 ± 5.70a 89.35a 
11 91.64 ± 6.18b 85.96 ± 10.12a 86.25 ± 10.90a 89.64b 
12 90.66 ± 7.61a 91.89 ± 5.22a 90.09 ± 6.49a 90.99a 
13 95.53 ± 3.45a 96.05 ± 2.09a 95.53 ± 3.25a 94.46a 
14 77.39 ± 8.92a 81.73 ± 10.92bc 88.07 ± 9.14bd 89.16bd 
15 93.24 ± 5.24b 95.41 ± 2.24bc 90.90 ± 7.69a 93.24b 
16 88.31 ± 7.50a 90.40 ± 7.93a 89.97 ± 6.42a 88.07a 

Note: RT: retention time; UB: unplanted drying beds.

Values followed by the same letter are not significantly different from each other following the one-way ANOVA test, p < 0.05.

Table 6

Evolution of the mean removal efficiency of DM per campaign of the study in the function of the retention times tested

CampaignsMean removal_ free flowMean removal_7 days of RTMean removal_14 days of RTRemoval_UB
78.12 ± 8.63a 84.57 ± 10.25b 84.57 ± 11.52b 77.57a 
78.90 ± 7.63a 83.63 ± 11.25bc 93.63 ± 4.32bd 75.63a 
90.36 ± 8.45b 89.36 ± 7.23b 95.36 ± 3.25bc 85.36a 
90.10 ± 3.85b 87.34 ± 6.65a 91.34 ± 6.23b 88.34a 
90.44 ± 5.85b 89.64 ± 5.89a 92.64 ± 4.85bc 88.64a 
90.58 ± 7.51a 94.82 ± 3.25b 95 ± 2.89b 90a 
94.47 ± 2.45bc 96.92 ± 1.63bd 93.92 ± 3.85bc 91.92a 
94.53 ± 2.15bc 93.50 ± 4.45bc 96.53 ± 2.56bcd 90.52a 
90.12 ± 5.15a 93.03 ± 4.35b 90.12 ± 8.95a 92.03b 
10 92.69 ± 4.75a 95.24 ± 2.35b 92.69 ± 4.35a 90.24a 
11 93.54 ± 5.25b 91.49 ± 5.12a 93.54 ± 4.65b 90.49a 
12 93.13 ± 4.32b 88.97 ± 8.85a 94.13 ± 4.01b 91.97b 
13 93.02 ± 3.52b 94.29 ± 2.85b 94.02 ± 3.02b 90.29a 
14 95.15 ± 2.85b 95.27 ± 2.12b 96.28 ± 2.25b 92.29a 
15 95.76 ± 2.53bc 91.42 ± 5.32a 93.76 ± 4.12b 90.42a 
16 96.38 ± 1.56b 94.36 ± 3.25a 97.38 ± 1.32b 93.36a 
CampaignsMean removal_ free flowMean removal_7 days of RTMean removal_14 days of RTRemoval_UB
78.12 ± 8.63a 84.57 ± 10.25b 84.57 ± 11.52b 77.57a 
78.90 ± 7.63a 83.63 ± 11.25bc 93.63 ± 4.32bd 75.63a 
90.36 ± 8.45b 89.36 ± 7.23b 95.36 ± 3.25bc 85.36a 
90.10 ± 3.85b 87.34 ± 6.65a 91.34 ± 6.23b 88.34a 
90.44 ± 5.85b 89.64 ± 5.89a 92.64 ± 4.85bc 88.64a 
90.58 ± 7.51a 94.82 ± 3.25b 95 ± 2.89b 90a 
94.47 ± 2.45bc 96.92 ± 1.63bd 93.92 ± 3.85bc 91.92a 
94.53 ± 2.15bc 93.50 ± 4.45bc 96.53 ± 2.56bcd 90.52a 
90.12 ± 5.15a 93.03 ± 4.35b 90.12 ± 8.95a 92.03b 
10 92.69 ± 4.75a 95.24 ± 2.35b 92.69 ± 4.35a 90.24a 
11 93.54 ± 5.25b 91.49 ± 5.12a 93.54 ± 4.65b 90.49a 
12 93.13 ± 4.32b 88.97 ± 8.85a 94.13 ± 4.01b 91.97b 
13 93.02 ± 3.52b 94.29 ± 2.85b 94.02 ± 3.02b 90.29a 
14 95.15 ± 2.85b 95.27 ± 2.12b 96.28 ± 2.25b 92.29a 
15 95.76 ± 2.53bc 91.42 ± 5.32a 93.76 ± 4.12b 90.42a 
16 96.38 ± 1.56b 94.36 ± 3.25a 97.38 ± 1.32b 93.36a 

Note: RT: retention time; UB: unplanted drying beds.

Values followed by the same letter are not significantly different from each other following the one-way ANOVA test, p < 0.05.

Helminth eggs removal

Contrary to removal efficiencies of the physicochemical parameters, the helminth eggs’ removal efficiencies are mainly due to sedimentation processes. The removal efficiencies of helminth eggs ranged from 82 to 100% independent of the RT-tested and unplanted drying bed unit (Table 7). After the application of the FS on the bed units, helminth eggs are trapped on the surface of the filter beds. Table 7 shows that from campaign 8 onwards, the removal efficiencies for all four different trials are approximately 100%. This result indicates that the RT had an effect on helminth egg reduction (p < 0.05). Indeed, predation, sedimentation and dehydration are the main mechanisms in planted drying beds that result in pathogen reduction in the FS. For Koné et al. (2010) working on the inactivation of helminth eggs within tropical drying beds, the insufficient RT may affect the removal processes (filtration and sedimentation) of helminth eggs. The findings of Sonko et al. (2015) working on the effect of plant species on FS drying and the fate of pollutants in planted drying beds showed that pathogens are mainly trapped inside the sludge cake accumulated on the surface of planted filters. The helminth egg reduction observed for the 7 days and 14 days of RTs could be explained by the long contact time between the helminth eggs adsorbed on the FS surface and the constituents of the system (vegetation and filter media).

Table 7

Variation of helminth eggs mean removal efficiencies (n = 16)

CampaignsMean removal_Free flowMean removal_7 days of RTMean removal_14 days of RTRemoval_UB
86 ± 8.65b 89.9 ± 7.02bc 85 ± 9.12b 82a 
94.47 ± 4.23bc 97.93 ± 1.46bd 87.6 ± 10.56a 91.73b 
97.24 ± 1.33bc 95.86 ± 3.12b 94.48 ± 3.24b 90.35a 
93.65 ± 4.63a 95.54 ± 3.52b 97.88 ± 1.02b 93.05a 
95.24 ± 3.25a 98.05 ± 0.23b 97.62 ± 1.25b 94.23a 
96.51 ± 2.06a 97.91 ± 1.28a 98.6 ± 1.01b 97.21a 
99.29 ± 0.26a 98.09 ± 0.98a 99.29 ± 0.52b 98.39a 
100 100 100 100 
100 100 100 100 
10 100 100 100 100 
11 100 100 100 100 
12 100 100 100 100 
13 100 100 100 100 
14 100 100 100 100 
15 100 100 100 100 
16 100 100 100 100 
CampaignsMean removal_Free flowMean removal_7 days of RTMean removal_14 days of RTRemoval_UB
86 ± 8.65b 89.9 ± 7.02bc 85 ± 9.12b 82a 
94.47 ± 4.23bc 97.93 ± 1.46bd 87.6 ± 10.56a 91.73b 
97.24 ± 1.33bc 95.86 ± 3.12b 94.48 ± 3.24b 90.35a 
93.65 ± 4.63a 95.54 ± 3.52b 97.88 ± 1.02b 93.05a 
95.24 ± 3.25a 98.05 ± 0.23b 97.62 ± 1.25b 94.23a 
96.51 ± 2.06a 97.91 ± 1.28a 98.6 ± 1.01b 97.21a 
99.29 ± 0.26a 98.09 ± 0.98a 99.29 ± 0.52b 98.39a 
100 100 100 100 
100 100 100 100 
10 100 100 100 100 
11 100 100 100 100 
12 100 100 100 100 
13 100 100 100 100 
14 100 100 100 100 
15 100 100 100 100 
16 100 100 100 100 

Note: RT: retention time; UB: unplanted drying beds.

Values followed by the same letter are not significantly different from each other following the one-way ANOVA test, p < 0.05.

Feachem et al. (1983), working on the excreta reuse, report that helminth eggs in comparison with other pathogens are larger in size and are mainly eliminated by the natural processes in planted drying beds. Basically, to remove helminth eggs from FS, it suffices to realize that they are in fact particles forming a fraction of DM contents. This is why helminth eggs’ content is related to the DM content in wastewater, specifically to the number of particles measuring 20–80 μm (Seck et al. 2015). As helminth eggs are particles, mechanisms used to remove suspended solids are also useful for removing helminth eggs from FS.

Hygienic quality of the biosolids accumulated on the beds

Biosolids removed from the beds contained a high concentration of helminth eggs (Figure 3). In general, almost all the helminth egg species belong to the class Nematoda (Ascaris, Trichuris, Enterobius and Strongyloides). With more than 80% of the total count, Ascaris lumbrides was the most predominant among the helminth species investigated. The high concentration of Ascaris eggs in the dewatered sludge follows their pattern in the raw sludge. Our results were expected because helminth eggs are concentrated in biosolids due to their high-settling velocities (Nelson et al. 2004). This is the reason why sedimentation is so effective in removing helminth eggs in planted drying beds (Jimenez et al. 2000; Kengne & Tilley 2014). Obtained concentrations are not in accordance with the WHO requirements (<1 egg/g DM) for safe agricultural practices (WHO 2006). In addition to natural deaths, the elimination of some helminth eggs in the layer of biosolids accumulated on the surface of the beds could be the result of many biological processes occurring on the surface of the planted filters such as dehydration, mineralization, secretion of root exudates and predation (Sanguinetti et al. 2005; Koné et al. 2007).
Figure 3

The variation of the helminth egg species found in the biosolids accumulated on the surface of the beds (n = 16) (FS: fecal sludge; RT: retention time; DM: dry matter).

Figure 3

The variation of the helminth egg species found in the biosolids accumulated on the surface of the beds (n = 16) (FS: fecal sludge; RT: retention time; DM: dry matter).

Close modal

Effect of plant densities

In general, E. pyramidalis exhibited a fast multiplication rate, with density increasing from 9 (before acclimatization) to more than 300 shoots/m2 independent of the hydraulic retention times tested (Figure 4). There was a significant difference (p < 0.05) in plant density and the hydraulic retention times tested (Table 4). After 9 months of operation, vegetation was found to increase proportionally with the increase in hydraulic retention times. It is generally assumed that planted drying beds outperform unplanted controls mainly because the plant rhizosphere stimulates microbial community density and activity by providing a root surface for microbial growth, and a source of carbon compounds through root exudates (Vymazal & Kröpfelová 2009). This observation was also mentioned by Rai et al. (1995) who obtained a close relation between the increase in the concentration of nutrients in wastewater and the absorption by plant growth.
Figure 4

The variation of the plant density (mean) with respect to hydraulic retention times tested (n = 16).

Figure 4

The variation of the plant density (mean) with respect to hydraulic retention times tested (n = 16).

Close modal
The change in environmental conditions induced by FS applications certainly influenced the multiplication rate of the macrophytes. The high density of plants could be due to the adaptation mechanisms developed by the plants which allow for growth in FS treatment beds (Figure 5). This high density of plants is beneficial for sludge treatment as it helps accelerate its dewatering through a high amount of loss by evapotranspiration (Kengne et al. 2009).
Figure 5

Appearance of a planted drying bed unit at the end of the experiment (source: photo by Letah Nzouebet).

Figure 5

Appearance of a planted drying bed unit at the end of the experiment (source: photo by Letah Nzouebet).

Close modal

The presence of plants in the bed units could affect the removal efficiency of NH4-N and DM (p < 0.05), as the assessment of the performance between the campaigns of this study revealed a very great variation of the removal efficiency in comparison to the unplanted bed (standard). The root system of E. pyramidalis allows retention of particles present in the FS contrary to the unplanted drying bed unit. Furthermore, aquatic macrophytes can affect the redox status of drying bed sediments by releasing oxygen from their roots into the rhizosphere and thereby stimulating aerobic decomposition (Brix & Arias 2005). In this study, the plant density has an indirect effect on the removal of helminth eggs and DM as it is known to increase the clogging phenomena via the development of its root system.

This study constitutes a pilot study in central Africa on the removal of helminth eggs in FS via constructed wetlands. It evaluates the performance of the system implementing different operational strategies (free flow, 7 days of RT and 14 days of RT) as well as the influence of planted unit in terms of FS helminth eggs removal. FS applied on the beds revealed the presence of high parasitic concentrations with seven helminth egg species recorded. The presence of plants has strongly affected the removal of nitrogen ammonia, DM and pathogens (p < 0.05) as compared to the unplanted bed unit (standard). Looking at the helminth egg diversity, a higher prevalence of A. lumbricoides was recorded in samples. The VFCW was not efficient enough to remove all the helminth eggs at the beginning of the experimentation. The biosolids removed from the beds revealed a high concentration of helminth eggs which are not in accordance with the WHO standards guidelines (<1 egg/g of DM) for safe agricultural practices. Biosolids removed from the bed units should undergo the stabilization process (e.g., composting) before agricultural reuse. In order to better master the reduction of helminth eggs in FS via VFCW, other operational parameters such as seasons, substrate, hydraulic load and feeding frequency could be studied for further investigations in large-scale projects.

This research was supported by the German Academic Exchange Service (DAAD) under the program ‘Bi-nationally supervised doctoral degree’, the Swiss National Centre of Competence in Research Programme North–South: Research Partnerships for Mitigating Syndrome of Global Change (NCCR N-S RP08: Productive Sanitation) co-funded by the Swiss National Science Foundation (SNSF), the Swiss Agency for Development and Cooperation (SDC) and the Department of Sanitation of the Swiss Federal Institute for Science and Technology (EAWAG/SANDEC).

We dedicate this article to Prof. Ives Magloire Kengne Noumsi, who passed away on 14 June 2020, for his valuable contribution to fecal sludge management (FSM) in Cameroon and abroad.

Data cannot be made publicly available; readers should contact the corresponding author for details.

The authors declare there is no conflict.

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Author notes

Deceased.

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