高温堆肥过程对猪粪来源抗生素抗性基因的影响

为研究大规模好氧高温堆肥过程对猪粪来源抗生素抗性基因的影响,采用荧光定量PCR法检测了4个大环内酯类抗性基因(erythromycin resistance methylase,erm A、erm B、erm C和erm F)、3个β-内酰胺抗性基因(beta-lactamase,bla TEM、bla CTX和bla SHV)和2个喹诺酮类抗性基因(quinolone resistance,qnr A和qnr S)在堆肥过程中的变化趋势.结果表明,堆肥初期大环内酯类抗性基因含量显著高于β-内酰胺类和喹诺酮类抗性基因(P0.01),其中erm B基因丰度最高为9.88×10~8copies·g~(-1),其次是erm F为9.40×10~8copies·g~(-1).在高温堆肥结束时β-内酰胺抗性基因和喹诺酮类抗性基因丰度维持在较低水平,而大环内酯类抗性基因在堆肥结束后仍然具有较高含量.其中,erm F基因与堆肥初期相比甚至出现了增加的情况,这表明高温堆肥过程不能有效去除所有抗生素抗性基因.对于某些抗生素抗性基因,堆肥可能还是良好的生物反应器而导致抗性基因的增殖,农田中堆肥产品的施用有可能会造成抗生素抗性基因的传递.     

基于能值理论的工业生态系统分析——以龙盛科技工业园为例

基于能值理论．以龙盛科技工业园为例,对其能量流动和物质循环进行分析,通过能值分析的方法,将能量漉、物质流等转化为统一的能值单位,对工业生态系统的效率和稳定性进行了评价。结果表明,龙盛科技工业固由于注重物质循环利用和能量梯级利用,已经形成比较完善的产业链,生态效率和系统稳定性都相对较高。     

二丁与连翘药渣联合堆肥腐熟度评价

为了对不同比例的二丁与连翘药渣堆肥腐熟度进行评价,采用条垛式好氧堆肥方式,将二丁和连翘两种药渣按照5种不同的比例进行堆肥处理,通过分析堆肥过程中温度、pH、C/N和发芽指数等指标的变化规律,对堆肥腐熟度进行评价。结果表明:在试验处理条件下及堆肥周期内,单一药渣堆肥的两组处理未能完全腐熟,混合药渣堆肥的3组处理均已达到完全腐熟的标准,说明两种药渣混合后进行堆肥,可以有效促进堆肥的顺利进行,且二丁与连翘比例为2∶1(质量比)时发酵效果最好。3组混合药渣的发酵产物可以作为有机肥或土壤改良剂施用,也可以与化肥配合,制备成有机/无机配方肥。     

Multi-objective optimization of waste and resource management in industrial networks – Part I: Model description

This article presents a general multi-objective mixed-integer linear programming (MILP) optimization model aimed at providing decision support for waste and resources management in industrial networks. The MILP model combines material flow analysis, process models of waste treatments and other industrial processes, life cycle assessment, and mathematical optimization techniques within a unified framework. The optimization is based on a simplified representation of industrial networks that makes use of linear process models to describe the flows of mass and energy. Waste-specific characteristics, e.g. heating value or heavy metal contamination, are considered explicitly along with potential technologies or process configurations. The systems perspective, including both provision of waste treatment and industrial production, enables constraints imposed upon the systems, e.g. available treatment capacities, to be explicitly considered in the model. The model output is a set of alternative system configurations in terms of distribution of waste and resources that optimize environmental and economic performance. The MILP also enables quantification of the improvement potential compared to a given reference state. Trade-offs between conflicting objectives are identified through the generation of a set of Pareto-efficient solutions. This information supports the decision making process by revealing the quantified performance of the efficient trade-offs without relying on weighting being expressed prior to the analysis. Key features of the modeling approach are illustrated in a hypothetical case. The optimization model described in this article is applied in a subsequent paper (Part II) to assess and optimize the thermal treatment of sewage sludge in a region in Switzerland.