Affiliations 

  • 1 College of Earth & Environmental Sciences, University of the Punjab, 54000 Lahore, Pakistan. Electronic address: yumna.sadef@gmail.com
  • 2 Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark(1); Department of Civil Engineering, Xi'an Jiaotong - Liverpool University, Suzhou, China(2)
  • 3 Department of Electrical Engineering, University of the Punjab, 54000 Lahore, Pakistan
  • 4 Department of Process and Food Engineering, University of Putra Malaysia, Malaysia
  • 5 Center of Excellence in Environmental Studies (CEES), King Abdul Aziz University, Jeddah 21589, Saudi Arabia
Waste Manag, 2016 Oct;56:396-402.
PMID: 27342191 DOI: 10.1016/j.wasman.2016.06.018

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%.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.