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优化位于寒冷半干旱气候下的垃圾填埋场的一阶降解气体生成模型参数。

Optimization of first order decay gas generation model parameters for landfills located in cold semi-arid climates.

机构信息

Environmental Systems Engineering, University of Regina, Saskatchewan, Canada.

Environmental Systems Engineering, University of Regina, Saskatchewan, Canada.

出版信息

Waste Manag. 2017 Nov;69:315-324. doi: 10.1016/j.wasman.2017.08.028. Epub 2017 Aug 18.

DOI:10.1016/j.wasman.2017.08.028
PMID:28823700
Abstract

Canada has one of the highest waste generation rates in the world. Because of high land availability, land disposal rates in the province of Saskatchewan are high compared to the rest of the country. In this study, landfill gas data was collected at semi-arid landfills in Regina and Saskatoon, Saskatchewan, and curve fitting was carried out to find optimal k and L or DOC values using LandGEM, Afvalzorg Simple, and IPCC first order decay models. Model parameters at each landfill were estimated and compared using default k and L or DOC values. Methane generation rates were substantially overestimated using default values (with percentage errors from 55 to 135%). The mean percentage errors for the optimized k and L or DOC values ranged from 11.60% to 19.93% at the Regina landfill, and 1.65% to 10.83% at the Saskatoon landfill. Finally, the effect of different iterative methods on the curve fitting process was examined. The residual sum of squares for each model and iterative approaches were similar, with the exception of iterative method 1 for the IPCC model. The default values in these models fail to represent landfills located in cold semi-arid climates. The use of site specific data, provided enough information is available regarding waste mass and composition, can greatly help to improve the accuracy of these first order decay models.

摘要

加拿大是世界上垃圾产生率最高的国家之一。由于土地资源丰富,萨斯喀彻温省的土地处置率高于加拿大其他地区。在这项研究中,在萨斯喀彻温省里贾纳和萨斯卡通的半干旱垃圾填埋场收集了垃圾填埋气数据,并使用 LandGEM、Afvalzorg Simple 和 IPCC 一级衰减模型进行了曲线拟合,以找到最佳的 k 和 L 或 DOC 值。使用默认的 k 和 L 或 DOC 值估算和比较了每个垃圾填埋场的模型参数。使用默认值会大大高估甲烷生成率(百分比误差从 55%到 135%)。在里贾纳垃圾填埋场,优化后的 k 和 L 或 DOC 值的平均百分比误差范围为 11.60%至 19.93%,在萨斯卡通垃圾填埋场为 1.65%至 10.83%。最后,研究了不同迭代方法对曲线拟合过程的影响。除了 IPCC 模型的迭代方法 1 外,每个模型和迭代方法的残差平方和都相似。这些模型中的默认值无法代表位于寒冷半干旱气候下的垃圾填埋场。如果有足够的关于废物质量和组成的信息,使用特定于地点的数据可以极大地帮助提高这些一级衰减模型的准确性。

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