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.
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Arsenault R, Brissette F, Malo J-S, Minville M, Leconte R (2013) Structural and non-structural climate change adaptation strategies for the Péribonka water resource system. Water Resour Manag 27(7):2075–2087
Ceola S, Montanari A, Krueger T, Dyer F, Kreibich H et al (2016) Adaptation of water resources systems to changing society and environment: a statement by the International Association of Hydrological Sciences. Hydrol Sci J 61(16):2803–2817
Cheng K, Fu Q, Chen X, Li T, Jiang Q et al (2015) Adaptive allocation modeling for a complex system of regional water and land resources based on information entropy and its application. Water Resour Manag 29(14):4977–4993
Delgado A, Romero I (2016) Environmental conflict analysis using an integrated grey clustering and entropy-weight method: a case study of a mining project in Peru. Environ Model Softw 77:108–121
Durbach I, Lahdelma R, Salminen P (2014) The analytic hierarchy process with stochastic judgements. Eur J Oper Res 238(2):552–559
Ehrlich PR, Raven PH (1964) Butterflies and plants: a study in coevolution. Evolution 18(4):586–608
Fu Q, Meng F, Li T, Liu D, Gong F (2016) Cloud model-based analysis of regional sustainable water resource utilization schemes. Int J Agric Biol Eng 9(5):67–75
He Y, Yang J, Chen X, Lin K, Zheng Y et al (2017) A two-stage approach to basin-scale water demand prediction. Water Resour Manag 32(2):401–416
He Y, Chen X, Sheng Z, Lin K, Gui F (2018a) Water allocation under the constraint of total water-use quota: a case from Dongjiang River basin, South China. Hydrol Sci J 63(1):154–167
He Y, Lin K, Zhang F, Wang Y, Chen X (2018b) Coordination degree of the exploitation of water resources and its spatial differences in China. Sci Total Environ 644:1117–1127
Hillis WD (1990) Co-evolving parasites improve simulated evolution as an optimization procedure. Phisica D 42(1–3):228–234
Jingtao H, Feng J, Qingyuan S, Zhengdong Y, Lei F (2016) On a comprehensive evaluation system of urban water safety—a case study of Zibo City, Shandong. J Saf Environ 16(3):192–197 (in Chinese)
Li B, Lin T, Liao L, Fan C (2008) Genetic algorithm based on multipopulation competitive coevolution. Evolutionary Computation IEEE 225
Li Y, Y L, YZ, Y S, X Z (2012). Investigation of a coupling model of coordination between urbanization and the environment. J Environ Manag: 127–133
Liu D, Chen X, Nakato T (2012) Resilience assessment of water resources system. Water Resour Manag 26(13):3743–3755
Liu D, Zhao D, Liang X, Wu Q (2014) Research on evaluating water resource resilience based on projection pursuit classification model. Appl Water Sci 6(1):97–105
Minville M, Brissette F, Krau S, Leconte R (2009) Adaptation to climate change in the Management of a Canadian Water-Resources System Exploited for hydropower. Water Resour Manag 23(14):2965–2986
Pina J, Tilmant A, Anctil F (2017) Horizontal approach to assess the impact of climate change on water resources systems. J Water Resour Plan Manag 143(4):1–11
Ren C, Guo P, Li M, Li R (2016) An innovative method for water resources carrying capacity research--metabolic theory of regional water resources. J Environ Manag 167:139–146
Sauchyn DJ, St-Jacques J-M, Barrow E, Nemeth MW, MacDonald RJ et al (2016) Adaptive water resource planning in the South Saskatchewan River basin: use of scenarios of Hydroclimatic variability and extremes. JAWRA J Am Water Resour Assoc 52(1):222–240
Sun G, Guan X, Yi X, Zhou Z (2018) Grey relational analysis between hesitant fuzzy sets with applications to pattern recognition. Expert Syst Appl 92:521–532
Wang G, Wu B, Zhang L, Jiang H, Xu Z (2014) Role of soil erodibility in affecting available nitrogen and phosphorus losses under simulated rainfall. J Hydrol: 180–191
Whateley S, Steinschneider S, Brown C (2016) Selecting stochastic climate realizations to efficiently explore a wide range of climate risk to water resource systems. J Water Resour Plan Manag 142(6):06016002
Wheater HS, Gober P (2015) Water security and the science agenda. Water Resour Res 51(7):5406–5424
Wu B, Wang G, Jiang H, Wang J, Liu C (2016) Impact of revised thermal stability on pollutant transport time in a deep reservoir. J Hydrol 535:671–687
Wu B, Wang G, Wang Z, Liu C, Ma J (2017) Integrated hydrologic and hydrodynamic modeling to assess water exchange in a data-scarce reservoir. J Hydrol 555:15–30
Yao J, Ren Y, Wei S, Pei W (2018) Assessing the complex adaptability of regional water security systems based on a unified co-evolutionary model. J Hydroinf 20(1):34–48
Yong-xing Y, Ke L, Yang Y (2013) Evaluation index system of swamp degradation in Zoige plateau of Sichuan, Southwest China under drainage stress. Yingyong Shengtai Xuebao(7), 1826–1836
Yu Z (2016) A Comprehensive Evaluation on Sustainability of Water Resources System Based on Development Degree and Coordination Degree. Master, Liaoning Normal University
Zhang J-Y, Wang L-C (2014) Assessment of water resource security in Chongqing City of China: what has been done and what remains to be done? Nat Hazards 75(3):2751–2772
Zhao J, Jin J, Zhu J, Xu J, Hang Q et al (2016) Water resources risk assessment model based on the subjective and objective combination weighting methods. Water Resour Manag Int J, Published for the European Water Resources Association (EWRA) 30(9):3027–3042
Zhu Q, Shen L, Liu P, Zhao Y, Yang Y et al (2015) Evolution of the water resources system based on synergetic and entropy theory. Pol J Environ Stud 24(6):2727–2738
This study was supported by the Chinese National Special Science and Technology Program of Water Pollution Control and Treatment (Grant No. 2017ZX07302004), the National Key Research and Development Program of China (Grant No. 2016YFC0401308) and the National Natural Science Foundation of China (Grant No. 51679006). We thank Paul Seward, PhD, from Liwen Bianji, Edanz Group China (https://www.edanzediting.com/), for editing the English text of this manuscript.
Conflict of Interest
The authors declare that they have no conflict of interest.
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Yao, J., Wang, G., Xue, W. et al. Assessing the Adaptability of Water Resources System in Shandong Province, China, Using a Novel Comprehensive Co-evolution Model. Water Resour Manage 33, 657–675 (2019). https://doi.org/10.1007/s11269-018-2129-8
- Water resources systems
- Comprehensive co-evolution model
- Survival fitness
- Coordination degree