Analysis of water use characteristics in industrial sectors in Beijing based on an input-output method

被引:6
作者
Hong, Siyang [1 ]
Wang, Hongrui [1 ]
Cheng, Tao [1 ]
机构
[1] Beijing Normal Univ, Coll Water Sci, Beijing Key Lab Urban Hydrol Cycle & Sponge City, 19 Xinjiekou Rd, Beijing 100875, Peoples R China
关键词
Beijing; industry structure adjustment; input-output method; water use coefficient; FOOTPRINT; CHINA; TRADE; NEXUS; CONSUMPTION; SCENARIOS; PROVINCE;
D O I
10.2166/ws.2019.152
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Beijing is a megalopolis with a serious water shortage that has been further exacerbated by an unreasonable industrial water structure. This article uses an input-output method to calculate the water use coefficients in each industrial sector in Beijing and analyses the water use characteristics of the various industrial sectors. Then, an industry association index that represents the influence and sensitivity of sectors is combined with the water use characteristics to readjust the industrial structure with the objectives of water conservation and sustainable economic development. The results indicate that the agricultural water use coefficient is the highest and that the coefficients are generally higher for sectors in secondary industry than for those in tertiary industry. In addition, all coefficients display a downward trend. The water use multipliers vary widely among sectors. In secondary industry during the study period, the number of high water use sectors remained stable, the number of potentially high water use sectors increased and the number of general water use sectors decreased. A comprehensive analysis of the water use characteristics and industrial structure correlations could provide a reference for the optimal allocation of water resources.
引用
收藏
页码:219 / 230
页数:12
相关论文
共 50 条
  • [11] An extended Input-Output framework for evaluating industrial sectors and provincial-level water consumption in Indonesia
    Mohan, Geetha
    Chapagain, Saroj Kumar
    Fukushi, Kensuke
    Papong, Seksan
    Sudarma, I. Made
    Rimba, Andi Besse
    Osawa, Takahiro
    WATER RESOURCES AND INDUSTRY, 2021, 25
  • [12] Water-Saving Scenarios Based on Input-Output Analysis and Virtual Water Concept: A Case in Iran
    Qasemipour, Ehsan
    Abbasi, Ali
    Tarahomi, Farhad
    SUSTAINABILITY, 2020, 12 (03)
  • [13] An analysis of Carbon Footprint of Beijing Based on Input-output Model
    Wang, Zhe
    Li, Yu
    Li, Zehong
    Yuan, Liang
    Zheng, Ji
    ENVIRONMENTAL PROTECTION AND RESOURCES EXPLOITATION, PTS 1-3, 2013, 807-809 : 1052 - 1058
  • [14] A Multiregional Input-Output Analysis of Water Withdrawals in the Southeastern United States
    Sheng, Di
    Owen, Stephanie
    Lambert, Dayton M.
    English, Burton C.
    Menard, Robert J.
    Hughes, David W.
    He-Lambert, Lixia
    Clark, Christopher D.
    REVIEW OF REGIONAL STUDIES, 2019, 49 (02) : 323 - 350
  • [15] Multi-scale input-output analysis of consumption-based water resources: Method and application
    Shao, Ling
    Guan, Dabo
    Wu, Zi
    Wang, Pengsu
    Chen, G. Q.
    JOURNAL OF CLEANER PRODUCTION, 2017, 164 : 338 - 346
  • [16] Mercury emissions by Beijing's fossil energy consumption: Based on environmentally extended input-output analysis
    Li, J. S.
    Chen, G. Q.
    Hayat, T.
    Alsaedi, A.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 41 : 1167 - 1175
  • [17] Research on the selection of leading industries in Beijing based on input-output analysis
    Li, Qianhong
    PROCEEDINGS OF THE 2017 9TH INTERNATIONAL ECONOMICS, MANAGEMENT AND EDUCATION TECHNOLOGY CONFERENCE (IEMETC 2017), 2017, 48 : 313 - 319
  • [18] Analysis of Water Consumption of Industries in Hunan Province Based on the Input-output Method
    Ying, Zhang
    Yao, Yaxuan
    Guo, Mengjiao
    2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 2441 - 2450
  • [19] An input-output approach to evaluate the water footprint and virtual water trade of Beijing, China
    Wang, Ziyuan
    Huang, Kai
    Yang, Shunshun
    Yu, Yajuan
    JOURNAL OF CLEANER PRODUCTION, 2013, 42 : 172 - 179
  • [20] A dynamic input-output method for energy system modeling and analysis
    Pan, Lingying
    Liu, Pei
    Li, Zheng
    Wang, Yonglian
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2018, 131 : 183 - 192