JIN Jia-xu, ZHU Lei, LIU Lei, et al. Gas pressure monitoring test and prediction model of single well
aeration in landfill[J]. 2023, 44(1): 259-267.DOI: 10.16285/j.rsm.2022.0199.
确定填埋场注气过程中气体压力分布特征可为好氧通风工程提供关键技术和理论支撑。以现场单井注气试验为依托,在渗流力学理论的基础上,开展了不同注气强度条件下气体压力分布监测试验,分析了注气过程中气体压力的径向分布特征,推导了注气条件下垃圾土体内部以解析解形式表达的气体压力预测(analytical gas pressure prediction,简称AGPP)模型;结合现场气体压力监测结果,构建了以注气井压力为核心参数的经验公式形式的气体压力预测(empirical gas pressure prediction,简称EGPP)模型。试验结果表明:低压注气强度也可以达到良好的注气效果,在较短时间内可以让气体充满注气井周围;通过现场监测数据与AGPP模型、EGPP模型的对比,初步验证了两种模型的可靠性。以上成果为预测和评估好氧通风过程中垃圾填埋场气体压力分布提供了新方法。
Abstract
Determining the characteristics of gas pressure distribution during aeration in landfills can provide key technical and theoretical support for aerobic ventilation engineering. Relying on the field single well aeration test and based on the theory of seepage mechanics
this study conducted gas pressure distribution monitoring tests under different aeration intensity conditions
analyzed the temporal and spatial distribution characteristics of the gas pressure during the aeration process
and deduced an one-dimensional steady-state analytical solution (AGPP model) of the gas pressure distribution in the garbage soil under the aeration conditions. By combining with the on-site gas pressure monitoring results
a gas pressure prediction model (EGPP model) with aeration intensity as the core parameter was constructed. The test results show that a low-pressure aeration intensity can also achieve aeration effect
and the gas is filled around the gas injection well in a short time. The reliability of the two models is preliminarily verified by comparing the field monitoring data with the AGPP model and the EGPP model. This study provides a new method for predicting and evaluating landfill gas pressure distribution during aerobic ventilation.