Spatiotemporal characteristics of water use change and its driving factors in China's urban agglomerations

被引:5
|
作者
Bao, Chao [1 ,2 ]
Xu, Minyu [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Spatial-temporal decomposition; Driving effects; Water resources management; Sustainable development; China's urban agglomerations; DECOMPOSITION APPROACH; SCARCE WATER; CONSUMPTION; FOOTPRINT; ENERGY; TRADE;
D O I
10.1016/j.ecolind.2023.110279
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Under the background of water scarcity, water use change is a vital indicator for coordinated development of socioeconomic and eco-environmental system, especially in China's urban agglomerations which are "markers" that identify water use change across the country. Therefore, this study adopts detailed data for irrigation, in-dustrial, and domestic subsectors at the prefecture-level city scale to reveal the spatiotemporal characteristics of water use changes across and within China's urban agglomerations during 2000-2020. Meanwhile, the contri-butions of nine socioeconomic drivers are quantitatively dissected by Logarithmic Mean Divisia Index (LMDI). The results show that, total water use in China's urban agglomerations experienced a trend of rising first and then declining, but it remained about 360 billion m3 over the whole period. Total and sectoral water use changes across and within China's 19 urban agglomerations showed significant differences. The activity and structure effects increased water use by 160 billion m3 and 10 billion m3 for China's urban agglomerations over the whole period, while the intensity effects decreased water use by 170 billion m3. Most urban agglomerations and prefecture-level cities had the same dominant driving factors as the overall situation of China's urban agglom-erations, belonging to the intensity-driven and activity-driven type. The results could serve as scientific supports to propose targeted water management policies and development pathways for China's urban agglomerations.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Urban Agglomerations in China: Characteristics and Influencing Factors of Population Agglomeration
    Cao, Yongwang
    Zhang, Rongrong
    Zhang, Dahao
    Zhou, Chunshan
    CHINESE GEOGRAPHICAL SCIENCE, 2023, 33 (04) : 719 - 735
  • [22] Urban Agglomerations in China: Characteristics and Influencing Factors of Population Agglomeration
    CAO Yongwang
    ZHANG Rongrong
    ZHANG Dahao
    ZHOU Chunshan
    ChineseGeographicalScience, 2023, 33 (04) : 719 - 735
  • [23] Land use efficiency and influencing factors of urban agglomerations in China
    Yu, Junqing
    Zhou, Kaile
    Yang, Shanlin
    LAND USE POLICY, 2019, 88
  • [24] Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension
    Lan, Feng
    Da, Huili
    Wen, Haizhen
    Wang, Ying
    SUSTAINABILITY, 2019, 11 (03):
  • [25] Evaluation and driving factors of land use economic efficiency in China's urban agglomerations under the impact of COVID-19 epidemic
    Wang, Jianhua
    Ma, Junwei
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [26] Spatiotemporal dynamics of irrigated cropland water use efficiency and driving factors in northwest China's Hexi Corridor
    Du, Dandan
    Dong, Bo
    Zhang, Rui
    Cui, Shiai
    Chen, Guangrong
    Du, Fengfeng
    ECOLOGICAL PROCESSES, 2024, 13 (01)
  • [27] Spatiotemporal Characteristics of the Surface Urban Heat Island and Its Driving Factors Based on Local Climate Zones and Population in Beijing, China
    Zhang, Yatong
    Li, Delong
    Liu, Laibao
    Liang, Ze
    Shen, Jiashu
    Wei, Feili
    Li, Shuangcheng
    ATMOSPHERE, 2021, 12 (10)
  • [28] Spatial Expansion Characteristics and Nonlinear Relationships of Driving Factors in Urban Agglomerations: A Case Study of the Yangtze River Delta Urban Agglomeration in China
    Zhao, Bochuan
    Wang, Yifei
    Geng, Huizhi
    Jiang, Xuan
    Li, Lingyue
    LAND, 2024, 13 (11)
  • [29] Spatiotemporal pattern analysis of PM2.5 and the driving factors in the middle Yellow River urban agglomerations
    Mi, Yifeng
    Sun, Ken
    Li, Li
    Lei, Yalin
    Wu, Sanmang
    Tang, Wei
    Wang, Yizhen
    Yang, Jingjing
    JOURNAL OF CLEANER PRODUCTION, 2021, 299
  • [30] Spatial structures and driving factors of express logistics networks between urban agglomerations in China
    Zheng, Qian
    Li, Yanqi
    Min, Tu
    Chen, Feng
    Liu, Kuo
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2025, 28 (02) : 150 - 170