| Literature DB >> 33072925 |
Victor E Akpan1, David O Omole1, Daniel E Bassey1.
Abstract
Wastewater reuse has become an integral part of Integrated Water Resources Management and thus plays a role in securing the water needs for future generations. This study aimed at determining the perceptions of Canaanland, an emerging urban community in Ogun State, Nigeria, on treated wastewater reuse for several purposes. Data were collected through questionnaires administered to the city residents (n = 244). Findings revealed that the city was aware of the economic and environmental benefits of wastewater reuse but would prefer reuse schemes that involved less human contact such as flushing toilets, electricity generation, building construction, and car wash. The least preferred option was for potable purposes. The community also revealed that they would be willing to accept wastewater reuse as long as it is endorsed by medical doctors, university professors, and experts. However, 45.5% of the respondents were from the Covenant University academic environment. Also, an assessment was carried out to ascertain the implications and opportunities for wastewater reuse in the city. Findings indicated that wastewater reuse involves several complexities and interlinkages, which revolve around political and decisional factors, economic and social factors, environmental factors, and technological factors. From the study, policy and decisional suggestions and a wastewater process flow were developed for more efficient wastewater management within developing cities. A study was carried out on eight cities from developing nations that have created a framework for wastewater management using several approaches. Also, a summary of findings reveals that if adequately researched, cheap and alternative means of wastewater treatment and reuse could be developed for electricity generation, carwash, and firefighting for developing nations. The result of this research can be used to address public anxieties regarding wastewater-reuse practices. Additionally, this study hopes to aid successful wastewater management schemes in the foreseeable future.Entities:
Keywords: Environmental science; Public perception; Recycling; Treatment; Urban communities; Wastewater; Wastewater reuse
Year: 2020 PMID: 33072925 PMCID: PMC7556266 DOI: 10.1016/j.heliyon.2020.e05246
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Figure 1Reoccurring factors that affect the public perception on reusing treated wastewater.
Figure 2Aerial view of study location with Ogun State and Nigeria: Developed with ESRI® ArcMap 10.7.
Summary of questionnaire sections.
| Section | Questions | Group | Answer Type |
|---|---|---|---|
| A | General Views/Perception of wastewater Recycling and Reuse | (Q1-Q9) | Strongly Agree/Agree/Neutral/Disagree/Strongly Disagree |
| B | Knowledge of Community Water and Wastewater situation | (Q10-Q12) | Yes or No |
| C | Specific Responses on Reuse, Concerns, and Preference | (Q13-Q19) | Multiple Picks |
Demographic information of attendees.
| Category | n | Distribution (%) |
|---|---|---|
| Gender | ||
| Male | 147 | 60.2 |
| Female | 97 | 39.8 |
| Age Group | ||
| 16–21 | 31 | 12.7 |
| 21–30 | 185 | 75.8 |
| 31–40 | 18 | 7.4 |
| 41–50 | 8 | 3.3 |
| 51> | 2 | 0.8 |
| Level of Qualification | ||
| No level of Education | 1 | 0.4 |
| Secondary School | 6 | 2.5 |
| Undergraduate Students (Enrolled in a BSc Program) | 45 | 18.4 |
| Diploma (OND/HND) | 9 | 3.7 |
| BSc Graduates | 113 | 46.3 |
| Masters Degree | 61 | 25 |
| PhD | 9 | 3.7 |
| Employment Level | ||
| Student | 111 | 45.5 |
| Self Employed (Owners of Private Businesses) | 40 | 16.4 |
| Employed | 76 | 31.1 |
| Unemployed | 17 | 7 |
Figure 3(a) respondents' knowledge of wastewater recycling and reuse (b) statistics on the knowledge of global water shortages.
Cronbach's alpha coefficients for the study.
| Q | Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | Number of Items | Cronbach's Alpha if the item is Deleted | |
|---|---|---|---|---|---|
| Q1 | Recycling and reusing wastewater is environmentally responsible | 0.905 | 0.874 | 9.00 | 0.886 |
| Q2 | Recycling and Reusing wastewater protects the environment from pollutants | 0.88 | |||
| Q3 | Recycling and Reusing Wastewater could cause health concerns | 0.938 | |||
| Q4 | Reusing wastewater will reduce the need for water treatment plant expansions | 0.932 | |||
| Q5 | Recycling and Reusing wastewater will bring about economic benefits | 0.875 | |||
| Q6 | Recycled wastewater can serve as a source of Fertilizer | 0.879 | |||
| Q7 | Wastewater reused in agriculture can boost agricultural yield | 0.872 | |||
| Q8 | Energy-saving is a potential of wastewater reuse | 0.870 | |||
| Q9 | Money can be made from wastewater reuse | 0.888 | |||
| Q10 | Have you seen a wastewater treatment facility? | 0.602 | 0.745 | 3 | 0.896 |
| Q11 | Does your community or Institution have a wastewater treatment facility? | 0.121 | |||
| Q12 | Do you think groundwater levels in your community is sustainable at the current pumping rate? | 0.57 | |||
General Views/Perception of wastewater Recycling and Reuse.
| Q1 | Recycling, treating, and reusing wastewater is environmentally responsible | 8 | 10 | 39 | 93 | 94 | 244 | 0 | 4.05 | 3.65 |
| Q2 | Recycling, treating, and reusing wastewater protects the environment from pollutants | 14 | 11 | 31 | 110 | 77 | 243 | 1 | 3.93 | 3.553 |
| Q3 | Recycling, treating, and reusing wastewater could cause health concerns | 34 | 82 | 70 | 47 | 11 | 244 | 0 | 2.67 | 2.368 |
| Q4 | Reusing treated wastewater will reduce the need for water treatment plant expansions | 37 | 70 | 75 | 51 | 9 | 242 | 2 | 2.69 | 2.39 |
| Q5 | Recycling, treating, and Reusing wastewater will bring about economic benefits | 6 | 7 | 30 | 139 | 60 | 242 | 2 | 3.99 | 3.557 |
| Q6 | Recycled wastewater can serve as a source of Fertilizer | 8 | 12 | 77 | 89 | 50 | 236 | 8 | 3.68 | 3.29 |
| Q7 | Treated wastewater reused in agriculture can boost agricultural yield | 7 | 12 | 72 | 108 | 44 | 243 | 1 | 3.7 | 3.291 |
| Q8 | Energy-saving is a potential of treated wastewater reuse | 5 | 9 | 69 | 121 | 39 | 243 | 1 | 3.74 | 3.311 |
| Q9 | Money can be made from treated wastewater reuse | 2 | 3 | 45 | 90 | 100 | 241 | 3 | 4.18 | 3.739 |
| Q10 | Have you seen a wastewater treatment facility? | 122 | 22 | 90 | 234 | 10 | 1.86 | 1.58 | ||
| Q11 | Does your community or Institution have a wastewater treatment facility? | 106 | 74 | 61 | 241 | 3 | 1.81 | 1.46 | ||
| Q12 | Do you think groundwater levels in your community is sustainable at the current pumping rate? | 108 | 89 | 40 | 237 | 7 | 1.95 | 1.57 |
Figure 4Responses to General Views/Perception of wastewater Recycling and Reuse (Section A).
Figure 5Responses to Knowledge of Community Water and Wastewater situation.
Figure 6Specific responses on reuse, concerns, and preference.
Influence of educational qualification on treated WWR applications and possible concerns.
| Variables | χ2 | Degree of freedom | Significance (p-value) |
|---|---|---|---|
| Relationship between Educational Qualification and Reuse Application | |||
| Industrial use | 4.569 | 6 | 0.600 |
| Firefighting | 8.982 | 6 | 0.175 |
| Washing cars | 4.526 | 6 | 0.606 |
| Washing clothes | 4.789 | 6 | 0.571 |
| Watering vegetables | 5.795 | 6 | 0.447 |
| Watering lawns | 13.438 | 6 | 0.037 |
| Cooking food | 13.945 | 6 | 0.030 |
| Flushing toilet | 5.945 | 6 | 0.429 |
| Swimming pools | 11.676 | 6 | 0.070 |
| Drinking | 16.382 | 6 | 0.012 |
| Generating electricity | 9.320 | 6 | 0.156 |
| Construction of buildings | 2.619 | 6 | 0.855 |
| Relationship between Educational Qualification and potential concerns | |||
| Health reasons | 10.646 | 6 | 0.100 |
| Psychological reasons | 9.853 | 6 | 0.131 |
| Religious reasons | 24.337 | 6 | <0.001 |
| I do not trust the treatment process | 7.656 | 6 | 0.264 |
| Mechanical or equipment breakdown | 6.613 | 6 | 0.358 |
| Quality of water | 3.797 | 6 | 0.704 |
| Lack of funds for the process | 18.850 | 6 | 0.004 |
| Poor management of the plant | 9.102 | 6 | 0.168 |
Significant at p < .10.
Influence of age on treated WWR applications and potential concerns.
| Variables | χ2 | Degree of freedom | Significance (p-value) |
|---|---|---|---|
| Relationship between Respondents' Age and Reuse Application | |||
| Industrial use | 3.214 | 4 | 0.523 |
| Firefighting | 4.677 | 4 | 0.322 |
| Washing cars | 6.629 | 4 | 0.157 |
| Washing clothes | 4.120 | 4 | 0.390 |
| Watering vegetables | 5.210 | 4 | 0.266 |
| Watering lawns | 4.638 | 4 | 0.327 |
| Cooking food | 3.301 | 4 | 0.509 |
| Flushing toilet | 1.355 | 4 | 0.852 |
| Swimming pools | 2.774 | 4 | 0.596 |
| Drinking | 1.691 | 4 | 0.792 |
| Generating electricity | 1.323 | 4 | 0.857 |
| Construction of buildings | 1.649 | 4 | 0.800 |
| Relationship between Respondents' Age and potential concerns | |||
| Health reasons | 2.929 | 4 | 0.570 |
| Psychological reasons | 1.823 | 4 | 0.768 |
| Religious reasons | 1.972 | 4 | 0.741 |
| I do not trust the treatment process | 4.416 | 4 | 0.353 |
| Mechanical or equipment breakdown | 3.196 | 4 | 0.526 |
| Quality of water | 4.821 | 4 | 0.306 |
| Lack of funds for the process | 4.536 | 4 | 0.338 |
| Poor management of the plant | 2.999 | 4 | 0.558 |
Significant at p < .10.
Influence of employment level on treated WWR applications and potential concerns.
| Variables | χ2 | Degree of freedom | Significance (p-value) |
|---|---|---|---|
| Relationship between Respondents' Employment Status and Reuse Application | |||
| Industrial use | 0.269 | 3 | 0.966 |
| Firefighting | 6.584 | 3 | 0.086 |
| Washing cars | 2.035 | 3 | 0.565 |
| Washing clothes | 3.142 | 3 | 0.370 |
| Watering vegetables | 3.554 | 3 | 0.314 |
| Watering lawns | 0.105 | 3 | 0.991 |
| Cooking food | 8.922 | 3 | 0.030 |
| Flushing toilet | 1.324 | 3 | 0.723 |
| Swimming pools | 6.666 | 3 | 0.083 |
| Drinking | 8.658 | 3 | 0.034 |
| Generating electricity | 8.975 | 3 | 0.030 |
| Construction of buildings | 5.589 | 3 | 1.133 |
| Relationship between Respondents' Employment Status and potential concerns | |||
| Health reasons | 4.513 | 3 | 0.211 |
| Psychological reasons | 3.475 | 3 | 0.324 |
| Religious reasons | 12.518 | 3 | 0.006 |
| I do not trust the treatment process | 2.898 | 3 | 0.408 |
| Mechanical or equipment breakdown | 4.545 | 3 | 0.208 |
| Quality of water | 1.640 | 3 | 0.650 |
| Lack of funds for the process | 1.529 | 3 | 0.676 |
| Poor management of the plant | 1.028 | 3 | 0.794 |
Significant at p < .10.
Influence of gender on treated WWR applications.
| Independent variable | Demography variable | Descriptive Statistics | Levene's Test for Equality of Variances | |||||
|---|---|---|---|---|---|---|---|---|
| Gender | N | Mean | Std. Deviation | Std. Error Mean | F | Sig. | t | |
| Industrial Use | Male | 147 | 0.6735 | 0.47055 | 0.03881 | 12.879 | <0.001 | 2.499 |
| Female | 97 | 0.5155 | 0.50236 | 0.05101 | 2.465 | |||
| Firefighting | Male | 147 | 0.7211 | 0.45 | 0.03712 | 16.406 | <0.001 | 2.343 |
| Female | 97 | 0.5773 | 0.49655 | 0.05042 | 2.296 | |||
| Washing cars | Male | 147 | 0.7687 | 0.4231 | 0.0349 | 12.608 | <0.001 | 1.871 |
| Female | 97 | 0.6598 | 0.47624 | 0.04835 | 1.826 | |||
| Washing clothes | Male | 147 | 0.5782 | 0.49553 | 0.04087 | 0.115 | 0.735 | 2.236 |
| Female | 97 | 0.433 | 0.49806 | 0.05057 | 2.234 | |||
| Watering vegetables | Male | 147 | 0.6122 | 0.4889 | 0.04032 | 0.193 | 0.661 | 0.223 |
| Female | 97 | 0.5979 | 0.49286 | 0.05004 | 0.223 | |||
| Watering lawns | Male | 147 | 0.6871 | 0.46527 | 0.03837 | 1.415 | 0.235 | 0.61 |
| Female | 97 | 0.6495 | 0.47961 | 0.0487 | 0.606 | |||
| Cooking food | Male | 147 | 0.2517 | 0.43547 | 0.03592 | 60.117 | <0.001 | 3.4 |
| Female | 97 | 0.0825 | 0.27651 | 0.02808 | 3.712 | |||
| Flushing toilet | Male | 147 | 0.8163 | 0.38854 | 0.03205 | 3.964 | 0.048 | 1.01 |
| Female | 97 | 0.7629 | 0.42752 | 0.04341 | 0.99 | |||
| Swimming pools | Male | 147 | 0.2585 | 0.43931 | 0.03623 | 54.531 | <0.001 | 3.269 |
| Female | 97 | 0.0928 | 0.29164 | 0.02961 | 3.541 | |||
| Drinking | Male | 147 | 0.1769 | 0.38286 | 0.03158 | 41.476 | <0.001 | 2.915 |
| Female | 97 | 0.0515 | 0.22226 | 0.02257 | 3.229 | |||
| Generating Electricity | Male | 147 | 0.7483 | 0.43547 | 0.03592 | 1.636 | 0.202 | -0.63 |
| Female | 97 | 0.7835 | 0.41399 | 0.04203 | -0.637 | |||
| Construction of Buildings | Male | 147 | 0.7415 | 0.43931 | 0.03623 | 0.459 | 0.499 | 0.342 |
| Female | 97 | 0.7216 | 0.45052 | 0.04574 | 0.34 | |||
Summary of Some findings from literature.
| Source | Location | Most Preferred WWRS | Unaccepted WWRS | Major Concerns | Findings | Recommendation |
|---|---|---|---|---|---|---|
| USA | Firefighting; car washing; lawn irrigation; agricultural usage | Potable Reuse; Supplementing Groundwater; Laundry | People with lower income, less education, and people over 65 had little knowledge of WWR | Making information readily available | ||
| Israel | Sidewalk landscaping; WC flushing; firefighting. | Domestic laundry; Food preparation, potable aquifer recharge | Health concerns | Water saving, savings in infrastructural cost, and environmental improvements were considered to be reasons to support WWR. | Proper treatment and endorsements from experts | |
| Israel | Irrigation of parks; sidewalk landscaping; use in the construction industry | Commercial launderettes | Health concerns | Low contact reuse projects were more likely to be accepted. | National authorities are advised to set up public campaigns, discuss health-related concerns, highlight the economic opportunities of WWR | |
| Turkey | Toilet Flushing; Road Washing; Construction; Firefighting; Agricultural Irrigation; Industry Use | Potable Reuse | Public Health Risks | Reuse scheme not involving close human contact were most likely to be accepted | Active policy initiatives and public awareness | |
| South Africa | N/A | Potable Water Reuse | Emotional Concerns (Yuk Factor); Technical competency; Environmental concerns | Religion had no direct impact on WWR; Respondents suggests that the direct beneficiaries must bear project costs; Unplanned reuse was more favored than planned reuse | Wastewater management case for potable reuse may entail a distinct methodology than arguments with immediate water shortage drivers | |
| South Africa | Landscape Irrigation; Industrial Processes | Potable Water Reuse | Public Health; Tariffs | Parameters such as aridity, tariffs, retrofitting and new installations, guidelines, and reuse regulations, public health, the quantity of reuse were most likely going to affect the decision of the public | The parameters stated in the findings section must be addressed | |
| Iran | Agricultural activities | N/A | Health concerns; social impacts; environmental impacts | The study explained that the most critical drivers for employing untreated wastewater for irrigation by farmers were water scarcity, increasing crop yield, difficulty to access freshwater, saving freshwater, increasing soil fertility, and decreasing production costs. | The study emphasized the necessity for planning to improve wastewater treatment along with suitable policies and procedures to enhance farmers' commitment to environmental conservation and human health. | |
| Oman | Irrigation of non-edible crops; landscape irrigation; firefighting; cool buildings. | Potable Reuse; Discharge to the marine environment | Health Concerns | outcomes suggested that the residents were optimistic about supporting any possible option that favored human health and the environment | Public concerns will need to be addressed using research outcomes. |
∗WWRS: Wastewater Reuse Scheme; ∗WWR: Wastewater Reuse.
Approach/Technologies to the most accepted WWR reuse projects from literature.
| Source | Problem Tackled | Approach/Technologies | Findings | Recommendation |
|---|---|---|---|---|
| Flushing Toilet | Using a membrane bioreactor and a biological aeration filter, Graywater suitability for flushing of toilets was determined. | The Gray water treated using the membrane bioreactor contained no bacteria after being treated for 15 days | Graywater, purified by a membrane bioreactor, should be adopted for flushing of toilets as it was highly viable. | |
| Flushing Toilet | Greywater from washbasins was passed through three distinct methods of treatment. The treatments adopted include a sedimentation tank, sand and carbon filtration system, and a 24-hour aeration tank. | No fecal coliform and E. Coli were found in the treated wastewater. TSS, BOD5, and Turbidity were reduced to an efficiency of 93%, 75%, and 91%, respectively. 69% of toilet users indicated that the treated greywater was similar to tap water | Treatment of greywater from washbasins with simple sand filtration techniques, for instance, proved to efficient | |
| Electricity Generation | Using a 2-chambered microbial fuel cell, fabricated with carbon cloth electrodes and Nafion-117 membrane with a platinum catalyst, the energy was recovered while treating wastewater. | The production of 810 ± 10 mW/m2 of power was achieved using microbial fuel cell Microbial fuel cells were seen to be effective in cleaning wastewater and generating Electricity simultaneously | Bacteria present in wastewater are effective in electricity generation while breaking down wastewater due to their electroactive nature. Further investigations need to be carried out on this to see how this can be harnessed for large scale applications. | |
| Electricity Generation | Adopted a two-chambered Microbial fuel cell inoculated with a mixed culture of cellulose-degrading bacteria to generate Electricity. | A power density of 469.48 W/m2 was achieved with a maximum voltage of 1.0 V. | It is recommended that the constituents of wastewater be determined to generate power from it optimally. | |
| Firefighting | The study utilized a process of flocculation, ozone, powdered activated carbon, and ceramic membrane filtration to treat wastewater meant for firefighting. | The powdered activated carbon aided in reducing the rate of fouling of the membrane when compared to operating the membrane without the carbon dosing. | It is feasible to treat wastewater intended for firefighting without compromising on standards. | |
| Car washing | Treatment processes such as ozonation, membrane bioreactor, and coagulation were deployed to treat wastewater from carwash for reuse. | This study showed that the use of ozonation was more effective than coagulation processes in the removal of suspended solids and chemicals. Membrane Bioreactor, however, showed a greater potential of removing 100%, 99%, 97.3, and 41% of suspended solids, COD, TOC, and ammonia, respectively. | Membrane bioreactor is seen as having great potentials in the recycling of wastewater from carwash for reuse. | |
| Car washing | Treatment processes such as settling, filtration, and membrane filtration were adopted in the study | The settling process reduced the number of suspended solids in the wastewater. The removal of COD was negligible when adopting filtration techniques. Membrane filtration aided in the removal of 60–76% of COD. | Car wash effluents could be treated using settling and membrane filtration. |
Cities from developing countries with a roadmap for WWR. Source: IWA (2018).
| S/N | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
|---|---|---|---|---|---|---|---|---|---|
| Developing City | Aqaba | Bangkok | Beijing | Chennai | Durban | Kampala | Lima | Manila | |
| Country | Jordan | Thailand | China | India | South Africa | Uganda | Peru | Philippines | |
| Population (2016) | 194,000 | 5.6 million | 21.7 million | 8.5 million | 3.7 million | 1.5 million | 10 million | 12.2 million | |
| Projected Population (2030) | 258,000 | 7 million | 23 million | 11 million | 4 million | 4.5 million | 12 million | 13.5 million | |
| Wastewater Generated | Sewer Service Coverage | 90% | 40% | 95% | 100% | 16% | 40% | 83% | 15% |
| On Site Sanitation | 10% | 60% | 5% | 0% | 84% | 60% | 17% | 85% | |
| Treated Wastewater | 100% = 45 ml/d | 100% = 1.3B l/d | 88% = 4.48B l/d | 70% = 769 ml/d | 100% = 108 m l/d | 100% = 87 ml/d | 15% = 240 ml/d | 100% = 510 ml/d | |
| Treated Wastewater Currently Reused | 69% | 5% | 15% | 49% | 44% | 100% | 5% | 0% | |
| Citywide GHG Emissions | ton CO2/year | N/A | N/A | 173m | 3.82m | 27.1m | N/A | 15.4m | 29 m |
| Potential to Reduce Emission | ton CO2/year | -81,000 | -638,000 | -1044000 | -235,000 | -438,000 | -114,000 | -652,000 | -168,000,000 |
| Energy Recovered | 100% | 62% | 45% | 77% | 8% | 227,000 KWh/year | low | low | |
| Fertilizer Recovered | No | Yes | Yes | No | Yes | Yes | No | Yes | |
| Notable Achievements and roadmap | 4 million USD income generated; set to reuse treated wastewater in hotels and tourism activities by 2035 | Sludge collection is creating new business opportunities; fertilizer plants from wastewater set to be increased by 2030 | 47%, 30%, and 20% of wastewater reused for irrigation, environmental reuse and industrial reuse respectively; plans to expand infrastructure to distribute wastewater to the community by 2030 | 15% of the city's water demand met via recycling; to achieve 100% recycling by 2030 | There has been a reduction in effluent being discharged into the environment by 10%; set to use 96 mgd for potable purposes by 2030 | Biogas recovery has reduced GHG emissions significantly; set to totally rely on biogas for power | about 3400 hectares of land irrigated with recycled water; set to develop its wastewater reuse infrastructure by 2035 | The framework set up by the legislative arm to commit stakeholders to 100% coverage and safely managed/reuse of Wastewater and sludge by 2028. |
Figure 7Holistic approach to wastewater reuse. (Source: Sgroi et al., 2018).
Figure 8Requirements to consider when setting up a WWR scheme in developing communities.
Figure 9Proposed flow process for treated WWR for developing cities.