Prediction of oxygen distribution in the waste mass from an aeration well in bioreactor landfills.

Zhu L, Jin J, Liu L, Gao T, Li R, Du Y

Open source

DOI
10.1177/0734242x231171039
Published
2023 Nov
Container
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1177/0734242x231171039,
  title = {Prediction of oxygen distribution in the waste mass from an aeration well in bioreactor landfills.},
  author = {Zhu L and Jin J and Liu L and Gao T and Li R and Du Y},
  year = {2023},
  journal = {Waste management \& research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA},
  doi = {10.1177/0734242x231171039},
  url = {https://doi.org/10.1177/0734242x231171039}
}

RIS

TY  - JOUR
TI  - Prediction of oxygen distribution in the waste mass from an aeration well in bioreactor landfills.
AU  - Zhu L
AU  - Jin J
AU  - Liu L
AU  - Gao T
AU  - Li R
AU  - Du Y
PY  - 2023
JO  - Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
DO  - 10.1177/0734242x231171039
UR  - https://doi.org/10.1177/0734242x231171039
ER  - 

APA

L, Z., J, J., L, L., T, G., R, L., & Y, D. (2023). Prediction of oxygen distribution in the waste mass from an aeration well in bioreactor landfills.. Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. https://doi.org/10.1177/0734242x231171039

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