Urban industrial solid waste metabolism based on ecological network analysis: A case study of Tianjin

被引:4
作者
Hua, Xiuzhi [1 ,2 ]
Liu, Jingru [1 ]
Sun, Guangming [3 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[2] Yunnan Univ, Inst Int Rivers & Ecosecur, 2 Green Lake North Rd, Kunming 650091, Yunnan, Peoples R China
[3] Hebei Jiaotong Vocat & Tech Coll, 258 Youyi South Rd, Shijiazhuang 050051, Hebei, Peoples R China
来源
CLEANER AND RESPONSIBLE CONSUMPTION | 2023年 / 9卷
基金
中国国家自然科学基金;
关键词
Industrial solid waste; Metabolism; Input; -Output; Ecological network analysis; INPUT-OUTPUT; CIRCULAR ECONOMY; CARBON EMISSIONS; SYSTEM; MANAGEMENT; MODEL;
D O I
10.1016/j.clrc.2023.100117
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Socioeconomic metabolism (SEM) is seen as a useful analytical tool to characterize the flows of materials and energy that occur between nature and our various societies. This tool has been widely applied in waste management. Based on a case study in Tianjin, which is one of the most structured industrial cities in China, a citylevel waste input-output (WIO) model is established, and a series of ecological network indicators are estimated and analyzed. The results show that (1) The indirect generation of industrial solid waste (ISW) in Tianjin was 1.6 times higher than the direct generation in 2017, with Smelting and pressing of metals sector topping in direct generation and construction in indirect generation. (2) The most important control on the solid waste metabolic system in Tianjin in 2017 was the smelting and pressing of the metals sector, which corroborates the fact that Tianjin is an essential steel production base in northern China. (3) The dominant intersectoral metabolic relationships in Tianjin are exploitative relationships, accounting for 54% and 62%, followed by competitive relationships accounting for 36% and 30% and mutualism relationships accounting for 10% and 13% of common industrial solid waste (CISW) and hazardous waste (HW) generation, respectively. This study investigates the solid waste metabolic characteristics of typical industrial metropolitan areas from the perspective of metabolic network relationships and provides suggestions for identifying management hotspots.
引用
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页数:9
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共 40 条
  • [1] Moving towards a circular economy model through I4.0 to accomplish the SDGs
    Ajwani-Ramchandani, Raji
    Bhattacharya, Sonali
    [J]. CLEANER AND RESPONSIBLE CONSUMPTION, 2022, 7
  • [2] Blatt EF, 2020, CLEAN RESPONS CONSUM, V1, DOI 10.1016/j.clrc.2020.100002
  • [3] Network Environ Perspective for Urban Metabolism and Carbon Emissions: A Case Study of Vienna, Austria
    Chen, Shaoqing
    Chen, Bin
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2012, 46 (08) : 4498 - 4506
  • [4] Ecological network analysis of an urban water metabolic system: Integrated metabolic processes of physical and virtual water
    Cui, Dan
    Zeng, Weihua
    Ma, Bingran
    Zhuo, Yue
    Xie, Yuxi
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 787
  • [5] Ecological Network Analysis for a Virtual Water Network
    Fang, Delin
    Chen, Bin
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2015, 49 (11) : 6722 - 6730
  • [6] Environmental, economic and social costs and benefits of a packaging waste management system: A Portuguese case study
    Ferrao, Paulo
    Ribeiro, Paulo
    Rodrigues, Joao
    Marques, Alexandra
    Preto, Miguel
    Amaral, Miguel
    Domingos, Tiago
    Lopes, Ana
    Costa, Ines
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2014, 85 : 67 - 78
  • [7] Planning for integrated solid waste management at the industrial Park level: A case of Tianjin, China
    Geng, Yong
    Zhu, Qinghua
    Haight, Murray
    [J]. WASTE MANAGEMENT, 2007, 27 (01) : 141 - 150
  • [8] Ecological network analysis for an industrial solid waste metabolism system
    Guan, Yuru
    Huang, Guohe
    Liu, Lirong
    Huang, Charley Z.
    Zhai, Mengyu
    [J]. ENVIRONMENTAL POLLUTION, 2019, 244 : 279 - 287
  • [9] Managing energy infrastructure to decarbonize industrial parks in China
    Guo, Yang
    Tian, Jinping
    Chen, Lyujun
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [10] Multi-regional industrial wastewater metabolism analysis for the
    Han, Dengcheng
    Huang, Gordon
    Liu, Lirong
    Zhai, Mengyu
    Gao, Sichen
    [J]. ENVIRONMENTAL POLLUTION, 2021, 284