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Adaptive Allocation Modeling for a Complex System of Regional Water and Land Resources Based on Information Entropy and its Application

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Abstract

Currently, water and land resources are treated as separate resources in allocation optimization for complex systems of water and land resources, which may have negative impacts on these water-land resource systems. In our study, an adaptive allocation model was established for a complex system of regional water and land resources using complex adaptive systems theory. The users of water and land resources were treated as adaptive agents, and the competition and synergy among various agents toward water and land resources were used as the driving forces for the evolution of the model. The model was accurately solved using a nested genetic algorithm to achieve the optimal joint allocation of regional water and land resources. A case study was conducted in the city of Kiamusze in Heilongjiang Province, and the results indicated that the evolution of the model was consistent with the actual behaviors of adaptive agents. Moreover, after the implementation of the optimized allocation results, the economic benefits in the study area were expected to increase by 3.34 %, and the comprehensive user satisfaction index regarding water increased from 0.61 to 0.73; moreover, the ecological footprint of the ecological sector increased by 5.6 %. Our results provide important guidance for achieving the sustainable use of regional water and land resources.

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Acknowledgments

The authors acknowledge the support of the following: the National Natural Science Foundation of China (No: 51179032, 51209038, and 51279031), the Ministry of Water Resources Special Funds for Scientific Research on Public Causes (No: 201301096), the Province Natural Science Foundation of Heilongjiang (No: E201241), the New Century Talent Supporting Project of the Ministry of Education, the Yangtze River Scholars Support Program of Colleges and Universities in Heilongjiang Province, the Cultivation Plan of Excellent Talents in New Century of Colleges in Heilongjiang Province (No: 1155-NCET-004), the Heilongjiang Province Water Conservancy Science and Technology project (No: 201318), and the Excellent Youth Foundation of Heilongjiang Province (JC201402).

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Authors and Affiliations

  1. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, 150030, China

    Kun Cheng, Qiang Fu, Xi Chen, Tianxiao Li, Qiuxiang Jiang, Xiaosong Ma & Ke Zhao

  2. Collaborative Innovation Centre of Promote Grain Production in Heilongjiang Province, Harbin, 150030, China

    Qiang Fu

  3. Key Laboratory of Water-Saving Agriculture of Regular Institutions of Higher Education in Heilongjiang Province, Harbin, 150030, China

    Qiang Fu

Authors
  1. Kun Cheng
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  2. Qiang Fu
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  3. Xi Chen
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  4. Tianxiao Li
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  5. Qiuxiang Jiang
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  6. Xiaosong Ma
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  7. Ke Zhao
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Corresponding author

Correspondence to Qiang Fu.

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Highlights

1 Optimized joint allocation of regional water and land resources was achieved based on the theory of a complex adaptive system, and the application scope of the complex adaptive system theory was expanded.

2 The amount of information carried by the adaptive agent was measured using information entropy in a uniform manner.

3 The competition and synergy toward resources of agents of all levels in the complex system of water and land resources were used as the driving force of the model evolution.

4 An accurate solution of the multi-dimensional model was derived using a nested genetic algorithm.

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Cheng, K., Fu, Q., Chen, X. et al. Adaptive Allocation Modeling for a Complex System of Regional Water and Land Resources Based on Information Entropy and its Application. Water Resour Manage 29, 4977–4993 (2015). https://doi.org/10.1007/s11269-015-1099-3

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  • DOI: https://doi.org/10.1007/s11269-015-1099-3

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