A quantitative analysis method for the degree of coupling coordination between drinking water carrying capacity and population spatial aggregation

Yuan Lei, Chen Guoping, Wang Jiasheng, Zhao Junsan () and Yang Kun ()
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Yuan Lei: Yunnan Normal University
Chen Guoping: Kunming Metallurgy College
Wang Jiasheng: Yunnan Normal University
Zhao Junsan: Kunming University of Science and Technology
Yang Kun: Yunnan Normal University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2022, vol. 24, issue 9, No 37, 11392-11423

Abstract: Abstract The degree of coupling coordination between Drinking Water Carrying Capacity (DWCC) and Population Spatial Agglomeration (PSA) is a primary indicator for assessing the sustainable development of society. However, current research using quantitative model methods to explore relationships between the DWCC and the PSA is extremely rare. In order to provide theoretical and methodological support for research of regional population control or water resource allocation, based on the idea of coupling and coordination in physics, this paper constructs a Comprehensive Evaluation Model of Drinking Water Carrying Capacity (CEMDWCC), a Population Spatial Aggregation Index Model (PSAIM) and a Coupling Coordination Model of Human Water Relationship (CCM-HWR). Then, we use of the output results of the CEMDWCC and the PSAIM as the input parameters for the CCM-HWR to integrate these three models together. Through the above processing, we deduce a quantitative analysis method for the degree of coupling and coordination between the DWCC and the PSA. On this basis, we further use Kunming, a region of the water-deficient severely as a research area to discuss the coupling coordination relationships of the DWCC and the PSA during 20 years from 1996 to 2015. The results demonstrate that, on the one hand, in the time dimensions, the coupling degree of the DWCC and the PSA fluctuates little, and it is basically in a straight development state during the 20-year study period. Moreover, the degree of coordination between them is moderately unbalanced and has not fluctuated much for many years in this period. This shows that the DWCC and the PSA have not yet reached a positive interaction state, which is not conducive to sustainable development in the future. On the other hand, in the spatial dimensions, there are certain spatial differences in different regions. These differences are explicitly manifested in the degree of coupling and coordination, which is the better in regions with more developed economies. On the whole, the results of the study are more consistent with the actual situation in the study area. In other words, the economically developed regions have relatively high population spatial concentration, and the DWCC has also reached a relatively high state. Moreover, in these areas, the coupling relationship between the DWCC and the PSA remains relatively stable, and the coordination relationship between them is more harmonious and orderly. As can be seen from the above research results, the research method in this paper can quantitatively analyze the coupling and coordination relationships between the DWCC and the PSA. Therefore, this method is of great importance for promoting research for the sustainable development of population, resources, environment, economy, and society in arid regions of the world.

Keywords: Water resources carrying capacity; Population spatial aggregation; Coupling degree; Coordination degree; Evaluation model (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10668-022-02229-2

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