Literature DB >> 25081851

Modeling organic micro pollutant degradation kinetics during sewage sludge composting.

Yumna Sadef1, Tjalfe Gorm Poulsen2, Kai Bester3.   

Abstract

Degradation of 13 different organic micro-pollutants in sewage sludge during aerobic composting at 5 different temperatures over a 52 day period was investigated. Adequacy of two kinetic models: a single first order, and a dual first order expression (using an early (first 7 days) and a late-time (last 45 days) degradation coefficient), for describing micro-pollutant degradation, and kinetic constant dependency on composting temperature were evaluated. The results showed that both models provide relatively good descriptions of the degradation process, with the dual first order model being most accurate. The single first order degradation coefficient was 0.025 d(-1) on average across all compounds and temperatures. At early times, degradation was about three times faster than at later times. Average values of the early and late time degradation coefficients for the dual first order model were 0.066 d(-1) and 0.022 d(-1), respectively. On average 30% of the initial micro-pollutant mass present in the compost was degraded rapidly during the early stages of the composting process. Single first order and late time dual first order kinetic constants were strongly dependent on composting temperature with maximum values at temperatures of 35-65°C. In contrast the early time degradation coefficients were relatively independent of composting temperature.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Aerobic composting; Composting temperature; Kinetic models; Organic micro-pollutant degradation

Mesh:

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Year:  2014        PMID: 25081851     DOI: 10.1016/j.wasman.2014.07.001

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Accelerated biodegradation of PLA/PHB-blended nonwovens by a microbial community.

Authors:  Yalan Liu; Zhicheng Zhan; Haixian Ye; Xiaoshan Lin; Yurong Yan; Yi Zhang
Journal:  RSC Adv       Date:  2019-04-02       Impact factor: 3.361

  1 in total

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