Characteristics of Tianjin's material metabolism from the perspective of ecological network analysis

被引:21
|
作者
Wang, Xinjing [1 ]
Zhang, Yan [1 ]
Yu, Xiangyi [2 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Xinjiekouwai St 19, Beijing 100875, Peoples R China
[2] Minist Ecol & Environm Peoples Republ China, Solid Waste & Chem Management Ctr, Yuhuinanlu 1, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban material metabolism; Ecological network analysis; Inputs and outputs; Key nodes; Ecological relationships; Tianjin; MULTIREGIONAL INPUT-OUTPUT; ENERGY-WATER NEXUS; URBAN METABOLISM; INDUSTRIAL PARK; FLOW-ANALYSIS; SYSTEM; MODEL; EMISSIONS; TABLES;
D O I
10.1016/j.jclepro.2019.118115
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cities are primary sites of resource consumption and pollution discharge. As a city with an urbanization rate far higher than the global average, Tianjin is facing severe resource and environmental problems caused by its material consumption and emission. In this study, we calculated the material flows between Tianjin and its external environment, as well as among sectors within the city, and constructed an ecological network model of the city to quantify and analyze changes in its flows from 2000 to 2015. We identified the external characteristics of the flows (size and structure of the inputs and outputs) and the internal characteristics (key nodes and ecological relationships), and their changes over time. Tianjin's material inputs and outputs were 750 and 256 Mt, respectively, in 2015 and have increased greatly since 2000. Tianjin's dependence on external inputs of metallic minerals was the city's biggest dependence. The network's key nodes were Internal Environment, Manufacturing, and Recycling, which participated most in the system's key links and must therefore be prioritized to optimize Tianjin's metabolic processes. The most important ecological relationship was exploitation/control (47.9% of all relationships), followed by mutualism (30.9%) and competition (21.2%). These proportions remained stable throughout the study period, but the proportions varied greatly among the nodes. Despite being a key node, the Manufacturing sector only had one mutualism relationship; increasing this sector's mutualism will become the key to making Tianjin's urban metabolism more sustainable. Ecological network analysis' ability to identify key nodes and ecological relationships demonstrates its ability to support efforts to regulate a city's urban material metabolism. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Proposal of six indicators of material cycles for describing society's metabolism: from the viewpoint of material flow analysis
    Hashimoto, S
    Moriguchi, Y
    RESOURCES CONSERVATION AND RECYCLING, 2004, 40 (03) : 185 - 200
  • [42] CROCADILE's Crowd Modeling: an Investigation from Social Network Analysis Perspective
    Lam Thu Bui
    Hoang Thi Thu Hien
    2013 THIRD WORLD CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGIES (WICT), 2013, : 154 - 159
  • [43] The analysis of ecological network characteristics of Baiyangdian Basin in China using the complex network theory
    Gao, Xing
    Liang, Xinyu
    Guo, Zhongyuan
    Yuan, Zihua
    Li, Guijun
    Likulunga, Likulunga Emmanuel
    ECOLOGICAL INDICATORS, 2024, 167
  • [44] Efficiency Characteristics and Evolution Patterns of Urban Carbon Metabolism of Production-Living-Ecological Space in Beijing-Tianjin-Hebei Region
    Tian C.
    Cheng L.-L.
    Shao Y.-C.
    Huanjing Kexue/Environmental Science, 2024, 45 (03): : 1254 - 1264
  • [46] An Analysis of the Administrative Agreement on the Beijing-Tianjin-Hebei Region from the Perspective of Law
    Feng, Li
    PROCEEDINGS OF THE 2017 9TH INTERNATIONAL ECONOMICS, MANAGEMENT AND EDUCATION TECHNOLOGY CONFERENCE (IEMETC 2017), 2017, 48 : 134 - 141
  • [47] Analysis of China's ' s industrial network structure and its resilience from the sectoral perspective
    Feng, Xinghua
    Xu, Meihai
    Li, Jianxin
    Gao, Ziyuan
    HABITAT INTERNATIONAL, 2024, 153
  • [48] Ecological Network Analysis of Urban Energy Metabolism - a Case Study of Fujian Province
    Yang, Y. J.
    Li, Y. P.
    Liu, J.
    Ding, Y. K.
    4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL ENGINEERING AND SUSTAINABLE DEVELOPMENT (CEESD 2019), 2020, 435
  • [49] Ecological network analysis of urban metabolism based on input-output table
    Liu, H.
    Zhang, Y.
    18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM, 2012, 13 : 1616 - 1623
  • [50] From System to Network: The Judge's Perspective
    Martinez Garcia, Jesus Ignacio
    ANUARIO DE FILOSOFIA DEL DERECHO, 2016, 32 (01): : 431 - 449