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Assessing the Adaptability of Water Resources System in Shandong Province, China, Using a Novel Comprehensive Co-evolution Model

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  • Jiping Yao

    (Beijing Normal University)

  • Guoqiang Wang

    (Beijing Normal University)

  • Weina Xue

    (Shandong Jianzhu University)

  • Zhipeng Yao

    (China National Environmental Monitoring Center)

  • Baolin Xue

    (Beijing Normal University)

Abstract

Studying the complex adaptability of regional water resources systems (WRS) plays an important role in promoting the sustainable utilization of water resources and improving the adaptation of WRS to environmental change. This study proposed a comprehensive co-evolution model, based on the conditions of the elements and on the mechanism of their interaction, to study the adaptive development of WRS. Using the model, the survival fitness of each subsystem, the coordination degree between each subsystem, and the survival fitness of the WRS were obtained, and the main factors that affect the adaptation of the WRS were analyzed. Shandong Province in China was used as an example. The results showed that during 2006–2015, the average annual survival fitness of the resource, social, economic, and ecological subsystems was 0.257, 0.282, 0.257, and 0.251, respectively, which indicated a low adaptability for each subsystem. The coordination degree between each subsystem (resource–society, resource–economy, resource–ecology, social–economic, social–ecological, and economic–ecological) was 0.319, 0.355, 0.334, 0.364, 0.333, and 0.351, respectively, which indicated minimal coordination between each subsystem. The average annual survival fitness of the WRS was 0.551, and the adaptability of the WRS was classified as basic. Further analysis revealed that the coordination problem caused by the interaction of the elements in each subsystem was responsible for the low adaptability. The coordination problem, therefore, places severe constraints on the adaptive development of WRS. Therefore, solving the problem of coordination between elements is fundamental to improving the adaptability of WRS and promoting its sustainable development.

Suggested Citation

  • Jiping Yao & Guoqiang Wang & Weina Xue & Zhipeng Yao & Baolin Xue, 2019. "Assessing the Adaptability of Water Resources System in Shandong Province, China, Using a Novel Comprehensive Co-evolution Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(2), pages 657-675, January.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:2:d:10.1007_s11269-018-2129-8
    DOI: 10.1007/s11269-018-2129-8
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    References listed on IDEAS

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    Cited by:

    1. Danieli Mara Ferreira & Marcelo Coelho & Cristovao Vicente Scapulatempo Fernandes & Eloy Kaviski & Daniel Henrique Marco Detzel, 2021. "Deterministic and Stochastic Principles to Convert Discrete Water Quality Data into Continuous Time Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3633-3647, September.
    2. Yuanfang Wang & Qijin Geng & Xiaohui Si & Liping Kan, 2021. "Coupling and coordination analysis of urbanization, economy and environment of Shandong Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10397-10415, July.
    3. Junfang Liu & Baolin Xue & Yuhui Yan, 2020. "The Assessment of Climate Change and Land-Use Influences on the Runoff of a Typical Coastal Basin in Northern China," Sustainability, MDPI, vol. 12(23), pages 1-13, December.
    4. Ning Pang & Xiaoya Deng & Aihua Long & Lili Zhang & Xinchen Gu, 2022. "Evaluation of the Resilience of the Socio-Hydrological System of the Tarim River Basin in China and Analysis of the Degree of Barriers," Sustainability, MDPI, vol. 14(13), pages 1-20, June.

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