Numerical model of aerobic bioreactor landfill considering aerobic-anaerobic condition and bio-stable zone development

Feng, Shi‐Jin; Li, An-Zheng; Zheng, Qi-Teng; Cao, Benyi; Chen, Hongxin

doi:10.1007/s11356-019-04875-y

Cited by 7 publications

(1 citation statement)

References 35 publications

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“…The landfill gas pressure and concentration distribution were simulated, and the radius of influence of the aeration well was predicted. Similar multicomponent gas migration process simulations were conducted by Shi et al (2016), Liu et al (2018a), Feng et al (2019) and Ma et al (2020). The gas concentration prediction in the above studies was either completed by numerical simulations or analytical solutions of the gas pressure distribution derived under steady-state conditions.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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The key to upgrade the efficiency of aerobic remediation of landfills is to determine the distribution characteristics of oxygen concentration during aerobic ventilation. This study discusses the distribution law of oxygen concentration with time and radial distance based on a single-well aeration test at an old landfill site. The transient analytical solution of the radial oxygen concentration distribution was deduced using the gas continuity equation and approximation of calculus and logarithmic functions. Oxygen concentration data from the field monitoring were compared with the results predicted by the analytical solution. The results indicated that the oxygen concentration initially increased and then decreased with prolonged aeration time. With an increase in radial distance, the oxygen concentration rapidly declined, followed by a gradual decrease. The influence radius of the aeration well increased slightly when the aeration pressure increased from 2 to 20 kPa. The field test data agreed with the analytical solution prediction results, preliminarily verifying the reliability of the oxygen concentration prediction model. Results from this study provide a basis of guidelines for the design, operation and maintenance management of a landfill aerobic restoration project.

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