Spatial Correlation Network of Water Use in the Yangtze River Delta Urban Agglomeration, China

被引:6
作者
Zhi, Yanling [1 ]
Chen, Junfei [1 ]
Qin, Teng [2 ]
Wang, Ting [1 ]
Wang, Zhiqiang [1 ]
Kang, Jinle [2 ]
机构
[1] Hohai Univ, Inst Management Sci, Business Sch, Nanjing, Peoples R China
[2] Changzhou Univ, Sch Business, Changzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
water network; spatial overflow; social network analysis; Yangtze River Delta; China; USE EFFICIENCY; LAND-USE; MANAGEMENT; URBANIZATION; INFRASTRUCTURE; CHALLENGES; INSIGHTS; BASIN;
D O I
10.3389/fenvs.2022.924246
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The increasingly severe water crisis is restricting sustainable development of the Yangtze River Delta Urban Agglomeration (YRDUA), highlighting the importance of collaborative water resources management. Based on the dataset from 26 cities between 2001 and 2020 in the YRDUA, this study applies Social Network Analysis to research the spatial correlation of urban water utilization, which helps identify the interaction of water use behaviors among different cities. Results show that the close relationships among urban water consumption in the YRDUA have formed a network, and there is no isolated city in the water use correlation network. During the research period, the water network affinity and network density showed an overall upward trend, meaning the number of actual connections in the network was increasing. However, the network hierarchy first decreased and then raised, and the network efficiency first increased and then decreased, indicating the structural evolution of the water network was gradually detrimental to the effective dissemination of water use information. The urban water consumption correlation network also shows a core-peripheral structure. Shanghai, Wuxi, Suzhou, and Hangzhou have higher coreness and centralities, dominating the water network and controlling major information spillover channels. Therefore, it is essential to focus on the overflow effects of urban water consumption and management among different regions, optimize the structure of the water consumption correlation network, exploit the core cities' radiation effects, and realize collaborative management for regional water resources.
引用
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页数:13
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共 60 条
  • [1] The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis
    Abildtrup, Jens
    Garcia, Serge
    Stenger, Anne
    [J]. ECOLOGICAL ECONOMICS, 2013, 92 : 126 - 136
  • [2] Social network effects on the extent of innovation diffusion: A computer simulation
    Abrahamson, E
    Rosenkopf, L
    [J]. ORGANIZATION SCIENCE, 1997, 8 (03) : 289 - 309
  • [3] The role of geographical proximity in knowledge diffusion, measured by citations to scientific literature
    Abramo, Giovanni
    D'Angelo, Ciriaco Andrea
    Di Costa, Flavia
    [J]. JOURNAL OF INFORMETRICS, 2020, 14 (01)
  • [4] Water Use Inequality and Efficiency Assessments in the Yangtze River Economic Delta of China
    Babuna, Pius
    Yang, Xiaohua
    Bian, Dehui
    [J]. WATER, 2020, 12 (06)
  • [5] Water Resources Flows Related to Urbanization in China: Challenges and Perspectives for Water Management and Urban Development
    Bao, Chao
    Fang, Chuang-lin
    [J]. WATER RESOURCES MANAGEMENT, 2012, 26 (02) : 531 - 552
  • [6] Urbanization and growth
    Bertinelli, L
    Black, D
    [J]. JOURNAL OF URBAN ECONOMICS, 2004, 56 (01) : 80 - 96
  • [7] The missing link: Social network analysis in migration and transnationalism
    Bilecen, Basak
    Gamper, Markus
    Lubbers, Miranda J.
    [J]. SOCIAL NETWORKS, 2018, 53 : 1 - 3
  • [8] Information network topologies for enhanced local adaptive management
    Bodin, Ö
    Norberg, J
    [J]. ENVIRONMENTAL MANAGEMENT, 2005, 35 (02) : 175 - 193
  • [9] The role of social networks in natural resource governance: What relational patterns make a difference?
    Bodin, Orjan
    Crona, Beatrice I.
    [J]. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2009, 19 (03): : 366 - 374
  • [10] Network Analysis in the Social Sciences
    Borgatti, Stephen P.
    Mehra, Ajay
    Brass, Daniel J.
    Labianca, Giuseppe
    [J]. SCIENCE, 2009, 323 (5916) : 892 - 895