Predicting the Stability of Organic Matter Originating from Different Waste Treatment Procedures

Yan Wang, Lekun Tan, Patricia Garnier, Sabine Houot, Julie Jimenez, Dominique Patureau and Yang Zeng ()
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Yan Wang: Sino-French Research Institute for Ecology and Environment (ISFREE), School of Environmental Science and Engineering, Shandong University, 72 Bing Hai Avenue, Qingdao 266237, China
Lekun Tan: Sino-French Research Institute for Ecology and Environment (ISFREE), School of Environmental Science and Engineering, Shandong University, 72 Bing Hai Avenue, Qingdao 266237, China
Patricia Garnier: AgroParisTech, INRAE, Université Paris Saclay, UMR ECOSYS, F-78850 Thiverval Grignon, France
Sabine Houot: AgroParisTech, INRAE, Université Paris Saclay, UMR ECOSYS, F-78850 Thiverval Grignon, France
Julie Jimenez: French National Institute for Agriculture, Food, and Environment, University of Montpellier, LBE, INRAE, 102 Avenue des Etangs, F-11100 Narbonne, France
Dominique Patureau: French National Institute for Agriculture, Food, and Environment, University of Montpellier, LBE, INRAE, 102 Avenue des Etangs, F-11100 Narbonne, France
Yang Zeng: Sino-French Research Institute for Ecology and Environment (ISFREE), School of Environmental Science and Engineering, Shandong University, 72 Bing Hai Avenue, Qingdao 266237, China

IJERPH, 2023, vol. 20, issue 3, 1-18

Abstract: Recycling organic wastes into farmland faces a double challenge: increasing the carbon storage of soil while mitigating CO 2 emission from soil. Predicting the stability of organic matter (OM) in wastes and treatment products can be helpful in dealing with this contradiction. This work proposed a modeling approach integrating an OM characterization protocol into partial least squares (PLS) regression. A total of 31 organic wastes, and their products issued from anaerobic digestion, composting, and digestion-composting treatment were characterized using sequential extraction and three-dimension (3D) fluorescence spectroscopy. The apportionment of carbon in different fractions and fluorescence spectra revealed that the OM became less accessible and biodegradable after treatments, especially the composting. This was proven by the decrease in CO 2 emission from soil incubation. The PLS model successfully predicted the stability of solid digestate, compost, and compost of solid digestate in the soil by using only the characterized variables of non-treated wastes. The results suggested that it would be possible to predict the stability of OM from organic wastes after different treatment procedures. It is helpful to choose the most suitable and economic treatment procedure to stabilize labile organic carbon in wastes and hence minimize CO 2 emission after the application of treatment products to the soil.

Keywords: anaerobic digestion; composting; soil; organic matter; stability; soil application (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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