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  A state-of-the-art review on modeling the biochar effect : guidelines for beginners

Zhao, Y., Li, Y., & Yang, F. (2022). A state-of-the-art review on modeling the biochar effect: guidelines for beginners. Science of the Total Environment, 802: 149861. doi:10.1016/j.scitotenv.2021.149861.

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Genre: Journal Article

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 Creators:
Zhao, Ying1, Author
Li, YueLei1, Author
Yang, Fan1, Author              
Affiliations:
1NEAU-MPICI, Kolloidchemie, Max Planck Institute of Colloids and Interfaces, Max Planck Society, ou_3235412              

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Free keywords: Biochar, Agricultural soil, Machine learning, Deterministic model, Numerical model
 Abstract: Biochar has been widely advocated due to its special properties and sustainability for agriculture soil amendment. The influencing mechanism of biochar on soil properties is a key aspect of quantifying and predicting its benefits and trade-offs. The contribution of biochar to both environmental and agricultural benefits has been deeply discussed and extensively reviewed, but few reviews have focused on modeling biochar effects. An overview of recent advances in biochar modeling is illustrated and approaches classified in this paper. Applications of a machine learning model, a deterministic model, and a numerical model to biochar are categorized and summarized. A discussion of the advantages and disadvantages of each model and a comparison among them are also provided. Finally, this paper gives many suggestions on narrowing the knowledge gap to advance biochar modeling. Further study of biochar modeling in management planning and design and application of the model results in agricultural systems will help accelerate the expansion of biochar's application scale and encourage the efficient utilization of waste in agricultural systems.

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Language(s): eng - English
 Dates: 2021-08-232022
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.scitotenv.2021.149861
BibTex Citekey: ZHAO2022149861
Other: PDF/share link erbeten. 30.08.2021AP
 Degree: -

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Title: Science of the Total Environment
  Abbreviation : Sci. Total Environ.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 802 Sequence Number: 149861 Start / End Page: - Identifier: ISSN: 0048-9697