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

Author

Listed:
  • 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
    Qingdao ProBio Biotech Co., Ltd., Block B, Building 3, Haichuang Center, Blue Silicon Valley, Qingdao 266200, 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)

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.

Suggested Citation

  • Yan Wang & Lekun Tan & Patricia Garnier & Sabine Houot & Julie Jimenez & Dominique Patureau & Yang Zeng, 2023. "Predicting the Stability of Organic Matter Originating from Different Waste Treatment Procedures," IJERPH, MDPI, vol. 20(3), pages 1-18, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2151-:d:1046159
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    References listed on IDEAS

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    1. Daniel Hoornweg & Perinaz Bhada-Tata & Chris Kennedy, 2013. "Environment: Waste production must peak this century," Nature, Nature, vol. 502(7473), pages 615-617, October.
    2. Appels, Lise & Lauwers, Joost & Degrève, Jan & Helsen, Lieve & Lievens, Bart & Willems, Kris & Van Impe, Jan & Dewil, Raf, 2011. "Anaerobic digestion in global bio-energy production: Potential and research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4295-4301.
    3. Karen L. Johnson & Steven A. Banwart & Caroline L. Peacock & Lynsay Blake, 2018. "Heat and soil vie for waste to cut emissions," Nature, Nature, vol. 563(7733), pages 626-626, November.
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