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A model to estimate the methane generation rate constant in sanitary landfills using fuzzy synthetic evaluation

机译：基于模糊综合评价的卫生填埋场甲烷产生速率常数估算模型

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This paper presents a model using fuzzy synthetic evaluation to estimate the methane generation rate constant, k, for landfills. Four major parameters, precipitation, temperature, waste composition and landfill depth were used as inputs to the model. Whereas, these parameters are known to impact the methane generation, mathematical relationships between them and the methane generation rate constant required to estimate methane generation in landfills, are not known. In addition, the spatial variations of k within a landfill combined with the necessity of site-specific information to estimate its value, makes k one of the most elusive parameters in the accurate prediction of methane generation within a landfill. In this paper, a fuzzy technique was used to develop a model to predict the methane generation rate constant. The model was calibrated and verified using k values from 42 locations. Data from 10 sites were used to calibrate the model and the rest were used to verify it. The model predictions are reasonably accurate. A sensitivity analysis was also conducted to investigate the effect of uncertainty in the input parameters on the generation rate constant.
机译：本文提出了一种使用模糊综合评价法估算垃圾填埋场甲烷产生速率常数k的模型。该模型使用了四个主要参数，即降水，温度，废物成分和垃圾填埋深度。尽管已知这些参数会影响甲烷的产生，但它们与估计垃圾填埋场甲烷产生所需的甲烷产生速率常数之间的数学关系尚不清楚。此外，垃圾填埋场中k的空间变化以及特定于站点的信息来估计其值的必要性，使k成为准确预测垃圾填埋场中甲烷产生的最难以捉摸的参数之一。在本文中，使用模糊技术开发了一个模型来预测甲烷生成速率常数。使用来自42个位置的k个值对模型进行了校准和验证。来自10个站点的数据用于校准模型，其余的用于验证模型。模型预测是相当准确的。还进行了敏感性分析，以研究输入参数中不确定性对发电速率常数的影响。

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