城市群迅速蔓延与扩张已日益演变为“污染群”，而产业是推进城市群扩张与导致污染排放的主体，但城市群产业普遍存在着产业关联差、协同发展程度低的问题，因此，从产业关联网络、协同减排视角开展城市群产业代谢过程研究，具有重要意义。以往城市群代谢研究多集中于单一城市内部，且只关注单一污染物，忽略了城市间产业链及协同减排。本课题以城市群产业代谢视角，以京津冀为例，采用理论和实践相结合的方式，在文献综述、部门调研、数据收集、专家咨询的基础上，按照“数据处理-规律刻画-网络模型-政策分析-优化机制”的逻辑框架，逐步深入的解析城市群产业代谢网络关联过程，区域生态服务及社会经济因素对区域协同减排规律的影响机理，为缓解城市群污染物排放问题、加强城市群生态管理提供了重要思路、科学方法和量化依据。

The rapid spread and expansion of urban agglomeration have gradually evolved into a "pollution group", and industry is the main reason for city group expansion and pollution emissions. Problems such as imperfect industrial correlation and low coordinated development degree in urban agglomeration industry are widespread. Therefore, it is of great significance to carry out research on metabolic process of industry in urban agglomeration from the perspective of the industrial association network and collaborative reduction. Previous studies on metabolism of urban agglomeration mainly focused on single inner city and a single pollutant, and ignored the industrial chain among cities and simultaneous reduction. This article focuses on the industrial metabolism of urban agglomeration, and conducts a case study of Jing-Jin-Ji region. On the basis of literature review, departmental research, data collection, and expert advice, combining theory with practice, we use the logical framework of “Data processing - Metabolism analyzing - Network modeling - Policy scenario analysis - Mechanism optimization” , progressively analyze the association process of industry metabolic networks of urban agglomeration, and the impact mechanism of regional ecosystem services and socio-economic factors on regional simultaneous reduction. Our research provide important ideas, scientific methods and quantitative basis for the urban emission problem solving and ecological management strengthen of agglomeration pollutant.