INRA, UMR 1091 Environnement et Grandes Cultures, INRA-AgroParisTech, F-78850, Thiverval-Grignon, France.
Environ Sci Pollut Res Int. 2014 Feb;21(4):2761-76. doi: 10.1007/s11356-013-2157-0. Epub 2013 Oct 17.
Composting has been demonstrated to be effective in degrading organic pollutants (OP) whose behaviour depends on the composting conditions, the microbial populations activated and interactions with organic matters. The fate of OP during composting involves complex mechanisms and models can be helpful tools for educational and scientific purposes, as well as for industrialists who want to optimise the composting process for OP elimination. A COP-Compost model, which couples an organic carbon (OC) module and an organic pollutant (OP) module and which simulates the changes of organic matter, organic pollutants and the microbial activities during the composting process, has been proposed and calibrated for a first set of OP in a previous study. The objectives of the present work were (1) to introduce the COP-Compost model from its convenient interface to a potential panel of users, (2) to show the variety of OP that could be simulated, including the possibility of choosing between degradation through co-metabolism or specific metabolism and (3) to show the effect of the initial characteristics of organic matter quality and its microbial biomass on the simulated results of the OP dynamic. In the model, we assumed that the pollutants can be adsorbed on organic matter according to the biochemical quality of the OC and that the microorganisms can degrade the pollutants at the same time as they degrade OC (by co-metabolism). A composting experiment describing two different (14)C-labelled organic pollutants, simazine and pyrene, were chosen from the literature because the four OP fractions simulated in the model were measured during the study (the mineralised, soluble, sorbed and non-extractable fractions). Except for the mineralised fraction of simazine, a good agreement was achieved between the simulated and experimental results describing the evolution of the different organic fractions. For simazine, a specific biomass had to be added. To assess the relative importance of organic matter dynamics on the organic pollutants' behaviour, a sensitivity analysis was conducted. The sensitivity analysis demonstrated that the parameters associated with organic matter dynamics and its initial microbial biomass greatly influenced the evolution of all the OP fractions, although the initial biochemical quality of the OC did not have a significant impact on the OP evolution.
堆肥已被证明可有效降解有机污染物(OP),其行为取决于堆肥条件、激活的微生物种群以及与有机物的相互作用。OP 在堆肥过程中的归宿涉及复杂的机制,模型可以作为教育和科学目的的有用工具,也可以为希望优化 OP 消除的堆肥过程的工业家提供帮助。先前的一项研究中,提出并校准了一种 COP-Compost 模型,该模型结合了一个有机碳(OC)模块和一个有机污染物(OP)模块,模拟了堆肥过程中有机物、有机污染物和微生物活性的变化。本研究的目的是:(1)通过 COP-Compost 模型的便捷界面向潜在用户介绍模型;(2)展示可模拟的各种 OP,包括选择通过共代谢或特定代谢进行降解的可能性;(3)展示有机物质量及其微生物生物量初始特征对 OP 动态模拟结果的影响。在模型中,我们假设污染物可以根据 OC 的生化质量被有机物吸附,并且微生物可以在降解 OC 的同时降解污染物(通过共代谢)。从文献中选择了两个不同的(14)C 标记的有机污染物(西玛津和芘)进行堆肥实验,因为模型中模拟的四个 OP 分数在研究期间进行了测量(矿化、可溶、吸附和不可提取分数)。除了西玛津的矿化分数外,模拟结果与描述不同有机分数演变的实验结果之间的吻合度较好。对于西玛津,必须添加特定的生物量。为了评估有机物动态对有机污染物行为的相对重要性,进行了敏感性分析。敏感性分析表明,与有机物动态及其初始微生物生物量相关的参数极大地影响了所有 OP 分数的演变,尽管 OC 的初始生化质量对 OP 的演变没有显著影响。