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在大型污水污泥堆肥过程中,有机微污染物降解率的不确定性。

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

机构信息

College of Earth & Environmental Sciences, University of the Punjab, 54000 Lahore, Pakistan.

Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark(1); Department of Civil Engineering, Xi'an Jiaotong - Liverpool University, Suzhou, China(2).

出版信息

Waste Manag. 2016 Oct;56:396-402. doi: 10.1016/j.wasman.2016.06.018. Epub 2016 Jun 21.

Abstract

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 (K1) and relative concentration at 35days of composting (C35/C0) 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 K1 and C35/C0 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 K1 and C35/C0 of about 15%.

摘要

堆肥有潜力去除污水污泥中的有机污染物。在估计污染物去除效率时,了解估计不确定性对于理解估计可靠性很重要。在本研究中,评估了污染物降解率(K1)和堆肥 35 天时相对浓度(C35/C0)的不确定性(变异系数,CV)。这是基于最近提出的污染物浓度数据,在使用两种不同采样方法的全规模堆肥条件下测量的,针对污水污泥中常见的一系列有机污染物。使用非参数统计程序来估计单个污染物的 K1 和 C35/C0 的 CV 值。然后,使用这些值来比较两种采样方法的 CV,并确定平均 CV 的置信区间。结果表明,采样方法对于降低不确定性至关重要。结果进一步表明,K1 和 C35/C0 的 CV 值约为 15%是可行的。

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