The driving effect of spatial-temporal difference of water resources carrying capacity in the Yellow River Basin

被引:26
作者
Chen, Qiyong [1 ]
Zhu, Mengting [2 ]
Zhang, Chenjun [3 ]
Zhou, Qin [4 ]
机构
[1] Hohai Univ, Business Sch, Changzhou 231022, Peoples R China
[2] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China
[3] Jiangsu Univ Sci & Technol, Sch Econ & Management, Zhenjiang 212100, Peoples R China
[4] Hohai Univ, Business Sch, Nanjing 211100, Peoples R China
关键词
Water resources carrying capacity; Spatial -temporal difference; LMDI; Yellow river basin;
D O I
10.1016/j.jclepro.2022.135709
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water resources is one of the basic resources for human social development. In the context of China's rapid economic development, how to achieve the sustainable development of water resources, social economy and ecological environment has become an urgent issue. Water Resources Carrying Capacity (WRCC) is an important indicator of the degree of coordinated social, economic and ecological development that can be supported by water resources in a certain region. Based on the internal mechanism of WRCC, this paper constructs the eval-uation system of WRCC, and estimates WRCC of 9 provinces in the Yellow River Basin (YRB) from 2009 to 2018 by the entropy method. Using the Logarithmic Mean Divisia Index (LMDI) model, we analyze the driving effects of WRCC differences in the YRB from both spatial and temporal aspects. Main conclusions are as follows: (1) There is an inherent mechanism between water resources, social economy and eco-environment, and the coor-dinated development of the three subsystems can promote the improvement of WRCC; (2) From 2009 to 2018, WRCC of the YRB showed a relatively stable upward trend, in which the sewage treatment effect and the technical effect were the main factors promoting WRCC, while the economic effect had a negative weakening function throughout the research period; (3) There were obvious differences in the WRCC of each province. We choose Shandong and Gansu as the comparison objects, then analyze the factors causing differences of WRCC through the driving effects decomposition analysis.
引用
收藏
页数:8
相关论文
共 34 条
[1]   Water resources carrying capacity assessment: The case of Algeria's capital city [J].
Ait-Aoudia, Meriem Naimi ;
Berezowska-Azzag, Ewa .
HABITAT INTERNATIONAL, 2016, 58 :51-58
[2]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[3]   Assessment and prediction of the water ecological carrying capacity in Changzhou city, China [J].
Bu, Jiuhe ;
Li, Chunhui ;
Wang, Xuan ;
Zhang, Yuan ;
Yang, Zhongwen .
JOURNAL OF CLEANER PRODUCTION, 2020, 277
[4]   Water demand forecasting and countermeasures across the Yellow River basin: Analysis from the perspective of water resources carrying capacity [J].
Guo, Lishuo ;
Zhu, Wenbin ;
Wei, Jiaxing ;
Wang, Lifang .
JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2022, 42
[5]   Carrying capacity in agriculture: global and regional issues [J].
Harris, JM ;
Kennedy, S .
ECOLOGICAL ECONOMICS, 1999, 29 (03) :443-461
[6]   Regionalization of water environmental carrying capacity for supporting the sustainable water resources management and development in China [J].
Jia, Zimu ;
Cai, Yanpeng ;
Chen, Yan ;
Zeng, Weihua .
RESOURCES CONSERVATION AND RECYCLING, 2018, 134 :282-293
[7]   Evaluation of Water Resources Carrying Capacity of Bohai Coast Jing-Jin-Ji Regions [J].
Li, Menggang ;
Li, Wenrui ;
Xu, Y. Q. ;
Lin, Wei ;
Li, Ting .
JOURNAL OF COASTAL RESEARCH, 2020, :414-418
[8]  
Liu H., 2022, J. Clean. Prod., V366
[9]   Economic Target of Regional Water Resources Based on Bearing Capacity [J].
Liu, Jun .
JOURNAL OF COASTAL RESEARCH, 2019, :883-888
[10]   New tool for assessing urban water carrying capacity (WCC) in the planning of development programs in the region of Oran, Algeria [J].
Magri, Adnane ;
Berezowska-Azzag, Ewa .
SUSTAINABLE CITIES AND SOCIETY, 2019, 48