环境持久性自由基在剩余污泥热解炭化体系中的产生及迁移转化机制研究

环境持久性自由基（EPFRs）是相对传统关注的短寿命自由基提出的一类稳定性强，反应活性相对较低，且带有环境污染性和毒性化学基团的新型环境风险物质。生物质炭作为一种多功能材料正逐步受到人们的广泛关注，在其制备过程中也会生成EPFRs。本研究拟通过对剩余污泥两种不同热解炭化过程中关键因素（温度、时间、表面官能团、金属等）及生成EPFRs的分析，探究热解行为对于剩余污泥产生EPFRs的影响机制，解析EPFRs在热解及炭化后的迁移性、转化性及持久存在特性等。在此基础上，结合神经网络及遗传算法等智能理论，通过计算获得EPFRs的结构参数，建立EPFRs反应活性多元耦合智能预测模型，以揭示剩余污泥热解炭化过程中EPFRs的产生机理和迁移转化机制。本研究将为深入理解EPFRs的环境行为，为剩余污泥的无害化、稳定化、资源化利用，为生物质炭的推广应用提供理论指导和技术支撑。

Environmentally Persistent Free Radicals （EPFRs）are a new kind of pollutant, and the lifetimes of EPFRs are longer than that of general radials. Biochar is concerned much in recent years, which has a series of advantages, but it generates the radicals in the process of pyrolysis. In this study, excess sludge was used as raw material to prepare biochar under different pyrolysis conditions. The factors (temperature, time, surface organic functional groups and metal ) affecting the formation of EPFRs and the migration, transformation and distribution will be studied by changing the pyrolysis conditions and desorption experiments. On this basis, combining some intelligent algorithms (neural network and genetic algorithm), a multiple intelligent coupling prediction model for forecasting distribution coefficient and reaction activity will be developed with the structure parameters of EPFRs obtained with theory of quantum chemistry and calculation accuracy, which can quickly determine the reaction activity of EPFRs. The research will provide theoretical guidance and technical support for deep understanding the environmental dynamic behavior and environmental risk assessment of EPRFs, as well as the utilization of excess activated sludge and biochar.