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Uncertainty in degradation rates for organic micro-pollutants during full-scale sewage sludge composting

机译:大规模污泥堆肥过程中有机微量污染物降解率的不确定性

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摘要

Composting can potentially remove organic pollutants in sewage sludge. When estimating pollutant removal efficiency, knowledge of estimate uncertainty is important for understanding estimate reliability. In this study the uncertainty (coefficient of variation, CV) in pollutant degradation rate (K_1) and relative concentration at 35 days of composting (C_(35)/C_0) was evaluated. This was done based on recently presented pollutant concentration data, measured under full-scale composting conditions using two different sampling methods for a range of organic pollutants commonly found in sewage sludge. Non-parametric statistical procedures were used to estimate CV values for K_1 and C_(35)/C_0 for individual pollutants. These were then used to compare the two sampling methods with respect to CV and to determine confidence intervals for average CV. Results showed that sampling method is crucial for reducing uncertainty. The results further indicated that it is possible to achieve CV values for both K_1 and C_(35)/C_0 of about 15%.
机译:堆肥可以潜在地去除污水污泥中的有机污染物。在估算污染物去除效率时,估算不确定性的知识对于理解估算的可靠性非常重要。在本研究中,评估了堆肥35天时污染物降解率(K_1)和相对浓度的不确定性(变异系数,CV)(C_(35)/ C_0)。这是基于最近提出的污染物浓度数据完成的,该数据在满量程堆肥条件下使用两种不同的采样方法对污水污泥中常见的一系列有机污染物进行了测量。使用非参数统计程序来估计单个污染物的K_1和C_(35)/ C_0的CV值。然后将它们用于比较两种采样方法的CV值,并确定平均CV的置信区间。结果表明,抽样方法对于减少不确定性至关重要。结果进一步表明,对于K_1和C_(35)/ C_0两者,都可以实现约15%的CV值。

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