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Rapid on site assessment of a compost chemical stability parameter by UV and fluorescence spectroscopy coupled with mathematical treatment
- Source :
- Waste Management, Waste Management, Elsevier, 2020, 113, pp.413-421. ⟨10.1016/j.wasman.2020.06.024⟩, ELSEVIER, Waste Management, 2020, 113, pp.413-421. ⟨10.1016/j.wasman.2020.06.024⟩
- Publication Year :
- 2019
-
Abstract
- International audience; Sewage sludges are problematic due to the constant increase of urban population. The high level of organic matter in sludges can be valorized by co-composting with green waste. Many chemical changes occur in the compost maturation process, resulting on stabilized organic matter by humification which is recoverable as soil amendment. In this way, the knowledge of organic matter stability and maturity of compost is essential. However, estimation of chemical parameters allowing the management of compost quality usually need complex time consuming laboratory measurements. Indeed, there is not yet rapid, simple and robust method for their on site assessment at the moment. Among usual parameters used to monitor compost evolution, the C/N 2 ratio is a fundamental chemical parameter. The aim of this work is the estimation of the C/N ratio using a Partial Least Squares regression based on UV and fluorescence spectroscopic data and pH from compost water extracts at various steps of composting process and measured on site. A mathematical linear model is established based on selected data (pH, spectroscopic indices) resulting on average relative error for C/N estimation of 5.26 % (range between 0.5 % min. and 9.5 % max.). This tool leads to a rapid and simple on site estimation of the compost stabilization, allowing qualification of the end-product resulting on a global spectroscopic index of stability.
- Subjects :
- 020209 energy
Population
compost maturity
02 engineering and technology
010501 environmental sciences
engineering.material
01 natural sciences
12. Responsible consumption
Soil
Partial least squares regression
0202 electrical engineering, electronic engineering, information engineering
Organic matter
education
Waste Management and Disposal
0105 earth and related environmental sciences
chemistry.chemical_classification
education.field_of_study
sewage sludge
Sewage
Compost
[SDE.IE]Environmental Sciences/Environmental Engineering
Composting
Water
Pulp and paper industry
C/N ratio
6. Clean water
Humus
Partial Least Square regression
spectroscopic indices
Green waste
water extracts
Spectrometry, Fluorescence
chemistry
[SDE]Environmental Sciences
engineering
Chemical stability
Sludge
Subjects
Details
- ISSN :
- 18792456 and 0956053X
- Volume :
- 113
- Database :
- OpenAIRE
- Journal :
- Waste management (New York, N.Y.)
- Accession number :
- edsair.doi.dedup.....7c3c8dc597452ed5dc6d42ebc88a15f2
- Full Text :
- https://doi.org/10.1016/j.wasman.2020.06.024⟩