Vermicomposting as an effective approach to municipal sewage sludge management through optimization of the selected process variables

Abstract In most developing countries, municipal sewage sludge end-use practices appear unsustainable; rather, it poses environmental concerns. This study examined the potential of vermicomposting of municipal sewage sludge and its blend with other biowaste for agricultural application. Using a resp...

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Published inWater science and technology Vol. 88; no. 8; pp. 1957 - 1973
Main Authors Banda, Beauty, Habtu, Nigus Gabbiye, Gebreeyessus, Getachew Dagnew, Meshesha, Beteley Tekola
Format Journal Article
LanguageEnglish
Published London IWA Publishing 15.10.2023
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Abstract Abstract In most developing countries, municipal sewage sludge end-use practices appear unsustainable; rather, it poses environmental concerns. This study examined the potential of vermicomposting of municipal sewage sludge and its blend with other biowaste for agricultural application. Using a response surface methodology and the Box–Behnken design in Design Expert Software (Version 10.0.7), the current study optimized the moisture content (60–90%), turning frequency (1–3 turnings/week), and substrate mixing ratios (50:50 to 80:20 wt.%) to maximize the content of nitrogen, phosphorus, and potassium. As a result, an optimal moisture content (72%), substrate mixing ratio (72.34:27.6 wt.%), and turning frequency (2 per week), producing a promising-quality vermicompost with a maximum yield of nitrogen (2.76%), phosphorus (1.80%), and potassium (1.88%) is achieved. Thus, vermicomposting can effectively turn the concerning municipal sewage sludge into useful agricultural input for its sustainable management.
AbstractList In most developing countries, municipal sewage sludge end-use practices appear unsustainable; rather, it poses environmental concerns. This study examined the potential of vermicomposting of municipal sewage sludge and its blend with other biowaste for agricultural application. Using a response surface methodology and the Box-Behnken design in Design Expert Software (Version 10.0.7), the current study optimized the moisture content (60-90%), turning frequency (1-3 turnings/week), and substrate mixing ratios (50:50 to 80:20 wt.%) to maximize the content of nitrogen, phosphorus, and potassium. As a result, an optimal moisture content (72%), substrate mixing ratio (72.34:27.6 wt.%), and turning frequency (2 per week), producing a promising-quality vermicompost with a maximum yield of nitrogen (2.76%), phosphorus (1.80%), and potassium (1.88%) is achieved. Thus, vermicomposting can effectively turn the concerning municipal sewage sludge into useful agricultural input for its sustainable management.
Abstract In most developing countries, municipal sewage sludge end-use practices appear unsustainable; rather, it poses environmental concerns. This study examined the potential of vermicomposting of municipal sewage sludge and its blend with other biowaste for agricultural application. Using a response surface methodology and the Box–Behnken design in Design Expert Software (Version 10.0.7), the current study optimized the moisture content (60–90%), turning frequency (1–3 turnings/week), and substrate mixing ratios (50:50 to 80:20 wt.%) to maximize the content of nitrogen, phosphorus, and potassium. As a result, an optimal moisture content (72%), substrate mixing ratio (72.34:27.6 wt.%), and turning frequency (2 per week), producing a promising-quality vermicompost with a maximum yield of nitrogen (2.76%), phosphorus (1.80%), and potassium (1.88%) is achieved. Thus, vermicomposting can effectively turn the concerning municipal sewage sludge into useful agricultural input for its sustainable management.
In most developing countries, municipal sewage sludge end-use practices appear unsustainable; rather, it poses environmental concerns. This study examined the potential of vermicomposting of municipal sewage sludge and its blend with other biowaste for agricultural application. Using a response surface methodology and the Box–Behnken design in Design Expert Software (Version 10.0.7), the current study optimized the moisture content (60–90%), turning frequency (1–3 turnings/week), and substrate mixing ratios (50:50 to 80:20 wt.%) to maximize the content of nitrogen, phosphorus, and potassium. As a result, an optimal moisture content (72%), substrate mixing ratio (72.34:27.6 wt.%), and turning frequency (2 per week), producing a promising-quality vermicompost with a maximum yield of nitrogen (2.76%), phosphorus (1.80%), and potassium (1.88%) is achieved. Thus, vermicomposting can effectively turn the concerning municipal sewage sludge into useful agricultural input for its sustainable management. HIGHLIGHTS Optimal vermicomposting conditions were achieved through parameter optimization, including moisture content, mixing ratio, and turning frequency.; High-quality vermicompost was harvested from municipal sewage sludge and amended with another biowaste (coffee husks and cow dung).; The physicochemical and microbial properties of the vermicompost were analyzed for use as organic fertilizer.;
Author Meshesha, Beteley Tekola
Gebreeyessus, Getachew Dagnew
Habtu, Nigus Gabbiye
Banda, Beauty
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Snippet Abstract In most developing countries, municipal sewage sludge end-use practices appear unsustainable; rather, it poses environmental concerns. This study...
In most developing countries, municipal sewage sludge end-use practices appear unsustainable; rather, it poses environmental concerns. This study examined the...
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StartPage 1957
SubjectTerms Agriculture
coffee husks
Composting
cow dung
Design
Developing countries
eisenia fetida
LDCs
Mixing ratio
Moisture content
municipal sewage sludge
Municipal wastes
Municipal wastewater
Nitrogen
Onsite
Phosphorus
Potassium
Process variables
Response surface methodology
Sanitation
Sewage
Sewage sludge
Sludge
Substrates
Sustainability management
Vermicomposting
Water content
Water treatment
Worms
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Title Vermicomposting as an effective approach to municipal sewage sludge management through optimization of the selected process variables
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