Abstract
As the conflict between the supply and demand of resources intensifies, it is critical to deeply study the important relationships and symbiotic evolution mechanisms among water resource development and utilization, energy production, agriculture, and the socioeconomic system to promote multiresource synergy management. This study introduced symbiosis theory to build a regional water-energy-food complex system in which the water-energy-food nexus was the main body and the social-economic-natural system was the external environment. Then, a symbiosis evaluation index system was established from three dimensions, including the symbiotic unit, symbiotic relationship, and symbiotic environment. Using the improved cloud model, we judged the symbiosis level of the water-energy-food complex system in Heilongjiang Province from 2010 to 2019. The results indicated that (1) the symbiosis level of the provincial water-energy-food complex system, symbiotic unit, and symbiotic environment was on the rise from level II in 2010 to level IV in 2019, and the symbiosis level of the symbiotic unit fluctuated between level III and level IV. The system exhibited an overall strong symbiosis state. (2) The weights of the three criteria were ranked as symbiotic environment > symbiotic unit > symbiotic relationship. The state of the social-economic-natural system could be considered a “monitor” of the symbiosis level, the symbiotic unit was an important basis for the evolution of the complex system, and the symbiotic relationship was the shortcoming of the system symbiosis enhancement. (3) The trade-offs between food production and water savings constrained socioeconomic development in the province. The resource demands of the economic and social systems and the emissions to the natural system that occurred during the resource exploitation and utilization processes were important factors affecting the coordinated development of the studied system. Overall, the experimental results were consistent with the research subjects’ actual situations, and the government should promote the regional three-way flow of social, natural, and economic resources to allow the targeted management of multiresource security.
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The datasets used and or analyzed during the current study are available from the corresponding author on reasonable request.
References
Al-Ansari T, Korre A, Nie Z, Shah N (2015) Development of a life cycle assessment tool for the assessment of food production systems within the energy, water and food nexus. Sustain Prod Consump 2:52–66. https://doi.org/10.1016/j.spc.2015.07.005
Bazilian M, Rogner H, Howells M, Hermann S, Arent D, Gielen D, Steduto P, Mueller A, Komor P, Tol RSJ, Yumkella KK (2011) Considering the energy, water and food nexus: towards an integrated modelling approach. Energ Policy 39(12):7896–7906. https://doi.org/10.1016/j.enpol.2011.09.039
Biggs EM, Bruce E, Boruff B, Duncan JMA, Horsley J, Pauli N, McNeill K, Neef A, Van Ogtrop F, Curnow J, Haworth B, Duce S, Imanari Y (2015) Sustainable development and the water–energy–food nexus: a perspective on livelihoods. Environ Sci Policy 54:389–397. https://doi.org/10.1016/j.envsci.2015.08.002
Chaudhary A, Gustafson D, Mathys A (2018) Multi-indicator sustainability assessment of global food systems. Nat Commun 9(1):848. https://doi.org/10.1038/s41467-018-03308-7
Chen W, Chen Y (2021) Pre-warning measurement of water resources security in the Yangtze river basin from the perspective of water-energy-food symbiosis. Water 13(4):475. https://doi.org/10.3390/w13040475
Chen J, Yu X, Qiu L, Deng M, Dong R (2018) Study on vulnerability and coordination of water-energy-food system in northwest China. Sustainability 10(10):3712. https://doi.org/10.3390/su10103712
de Amorim WS, Valduga IB, Ribeiro JMP, Williamson VG, Krauser GE, Magtoto MK, de Andrade Guerra JBSO (2018) The nexus between water, energy, and food in the context of the global risks: an analysis of the interactions between food, water, and energy security. Environ Impact Assess Rev 72:1–11. https://doi.org/10.1016/j.eiar.2018.05.002
Endo A, Tsurita I, Burnett K, Orencio PM (2017) A review of the current state of research on the water, energy, and food nexus. J Hydrol Reg Stud 11:20–30. https://doi.org/10.1016/j.ejrh.2015.11.010
Food and Agriculture Organization (FAO) of the United Nation (2014) The water-energy-food nexus: a new approach in support of food security and sustainable agriculture. https://www.fao.org/3/bl496e/bl496e.pdf. Accessed June 2014
González-Rosell A, Blanco M, Arfa I (2020) Integrating stakeholder views and system dynamics to assess the water-energy-food nexus in Andalusia. Water 12(11):3172. https://doi.org/10.3390/w12113172
Han Z, Ma H (2021) Adaptability assessment and analysis of temporal and spatial differences of water-energy-food system in Yangtze River Delta in China. Sustainability 13(24). https://doi.org/10.3390/su132413543
Hou M, Shao X (2016) Optimization of irrigation-drainage scheme for tomato crop based on multi-index analysis and projection pursuit model. Zemdirbyste-Agric 103(2):221–228. https://doi.org/10.13080/z-a.2016.103.029
Howarth C, Monasterolo I (2016) Understanding barriers to decision making in the UK energy-food-water nexus: the added value of interdisciplinary approaches. Environ Sci Policy 61:53–60. https://doi.org/10.1016/j.envsci.2016.03.014
Huang S, Hou B, Chang J, Huang Q, Chen Y (2014) Spatial-temporal change in precipitation patterns based on the cloud model across the Wei River Basin China. Theoretical Appl Climatol 120(1–2):391–401. https://doi.org/10.1007/s00704-014-1177-0
Huang X, Zhao M, Fang G, Jin G (2021) Water security evaluation model based on combined weight cloud model. J Econ Water Resour 39(5):60–82 (In Chinese)
Keairns DL, Darton RC, Irabien A (2016) The energy-water-food nexus. Annu Rev Chem Biomol Eng 7:239–262. https://doi.org/10.1146/annurev-chembioeng-080615-033539
Kha HF, Yang YCE, Xie H, Ringler C (2017) A coupled modeling framework for sustainable watershed management in transboundary river basins. Hydrol Earth Syst Sc 21(12):6275–6288. https://doi.org/10.5194/hess-21-6275-2017
Li D, Meng H, Shi X (1995) Membership clouds and membership cloud generators. J Comput Res Dev 32(6):15–20 (In Chinese)
Li G, Wang Y, Huang D, Yang H (2017) Water-energy-food nexus in urban sustainable development: an agent-based model. Int J Crowd Sci 1(2):121–132. https://doi.org/10.1108/ijcs-08-2017-0014
Liu S, Zhao L (2022) Development and synergetic evolution of the water–energy–food nexus system in the Yellow River Basin. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-022-20405-9
Liu D, Wang D, Wu J, Wang Y, Wang L, Zou X, Chen Y, Chen X (2014) A risk assessment method based on RBF artificial neural network - cloud model for urban water hazard. J Intell Fuzzy Syst 27(5):2409–2416. https://doi.org/10.3233/ifs-141210
Liu D, Liu C, Fu Q, Li T, Khan MI, Cui S, Faiz MA (2017) Projection pursuit evaluation model of regional surface water environment based on improved chicken swarm optimization algorithm. Water Resour Manage 32(4):1325–1342. https://doi.org/10.1007/s11269-017-1872-6
Pei W, Fu Q, Liu D, Li T, Cheng K (2016) Assessing agricultural drought vulnerability in the Sanjiang Plain based on an improved projection pursuit model. Nat Hazards 82(1):683–701. https://doi.org/10.1007/s11069-016-2213-4
Putra M, Pradhan P, Kropp JP (2020) A systematic analysis of water-energy-food security nexus: a South Asian case study. Sci Total Environ 728:138451. https://doi.org/10.1016/j.scitotenv.2020.138451
Qi Y, Farnoosh A, Lin L, Liu H (2022) Coupling coordination analysis of China’s provincial water-energy-food nexus. Environ Sci Pollut Res 29:23303–23313. https://doi.org/10.1007/s11356-021-17036-x
Qian X-Y, Liang Q-M (2021) Sustainability evaluation of the provincial water-energy-food nexus in China: evolutions, obstacles, and response strategies. Sustain Cities Soc 75. https://doi.org/10.1016/j.scs.2021.103332
Quispel A (1951) Some theoretical aspects of symbiosis. Antonie van Leeuwenhoek 17:69–80. https://doi.org/10.1007/BF02062248
Rasul G (2014) Food, water, and energy security in South Asia: a nexus perspective from the Hindu Kush Himalayan region. Environ Sci Policy 39:35–48. https://doi.org/10.1016/j.envsci.2014.01.010
Ren Y, Yao J, Xu D, Wang J (2017) A comprehensive evaluation of regional water safety systems based on a similarity cloud model. Water Sci Technol 76(3):594–604. https://doi.org/10.2166/wst.2017.235
Ren Y, Yao J, Cheng K (2019) Evaluation of the coordinated development of regional water resource systems based on a dynamic coupling coordination model. Water Supply 19(2):565–573. https://doi.org/10.2166/ws.2018.102
Ren X, Ren Y, Wu F, Si T, Wang Z (2021) Collaborative development model of regional water-energy-food nexus. Bull Soil Water Conserv 41(5):218–225 (In Chinese)
Schlör H, Venghaus S, Hake JF (2018) The FEW-Nexus city index - measuring urban resilience. Appl Energ 210:382–392. https://doi.org/10.1016/j.apenergy.2017.02.026
Shi H, Luo G, Zheng H, Chen C, Bai J, Liu T, Ochege FU, De Maeyer P (2020) Coupling the water-energy-food-ecology nexus into a Bayesian network for water resources analysis and management in the Syr Darya River basin. J Hydrol 581:124387. https://doi.org/10.1016/j.jhydrol.2019.124387
Sonel E, Gür Ş, Eren T (2022) Analysis of factors affecting industrial symbiosis collaboration. Environ Sci Pollut Res 29:8479–8486. https://doi.org/10.1007/s11356-021-16213-2
Sun C, Yan X, Zhao L (2021) Coupling efficiency measurement and spatial correlation characteristic of water–energy–food nexus in China. Resour Conserv Recy 164:105151. https://doi.org/10.1016/j.resconrec.2020.105151
Wang J, Peng L, Zhang H, Chen X (2014) Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information. Inform Sciences 274:177–191. https://doi.org/10.1016/j.ins.2014.02.130
Wang D, Liu D, Ding H, Singh VP, Wang Y, Zeng X, Wu J, Wang L (2016a) A cloud model-based approach for water quality assessment. Environ Res 148:24–35. https://doi.org/10.1016/j.envres.2016a.03.005
Wang D, Zeng D, Singh VP, Xu P, Liu D, Wang Y, Zeng X, Wu J, Wang L (2016b) A multidimension cloud model-based approach for water quality assessment. Environ Res 149:113–121. https://doi.org/10.1016/j.envres.2016b.05.012
Wang M, Tang D, Bai Y, Xia Z (2016c) A compound cloud model for harmoniousness assessment of water allocation. Environ Earth Sci 75(11). https://doi.org/10.1007/s12665-016-5782-3
Wang Q, Li S, He G, Li R, Wang X (2018) Evaluating sustainability of water-energy-food (WEF) nexus using an improved matter-element extension model: a case study of China. J Clean Prod 202:1097–1106. https://doi.org/10.1016/j.jclepro.2018.08.213
Wang Y, Pu A, Yan X, Sun J (2020) Comprehensive evaluation of water-energy-food nexus safety in Xinjiang. Trans Chinese Soc Agric Machine 51(6):264–272 (In Chinese)
Wang Y, Xie Y, Qi L, He Y, Bo H (2022) Synergies evaluation and influencing factors analysis of the water-energy-food nexus from symbiosis perspective: a case study in the Beijing-Tianjin-Hebei region. Sci Total Environ 818:151731. https://doi.org/10.1016/j.scitotenv.2021.151731
Wei Y, Zhu X, Li Y, Yao T, Tao Y (2019) Influential factors of national and regional CO2 emission in China based on combined model of DPSIR and PLS-SEM. J Clean Prod 212:698–712. https://doi.org/10.1016/j.jclepro.2018.11.155
Wen C, Dong W, Zhang Q, He N, Li T (2022) A system dynamics model to simulate the water-energy-food nexus of resource-based regions: a case study in Daqing City. China Sci Total Environ 806:150497. https://doi.org/10.1016/j.scitotenv.2021.150497
Wu H, Wang J (2020) Assessment of waterlogging risk in the deep foundation pit projects based on projection pursuit model. Adv Civil Eng 2020:1–11. https://doi.org/10.1155/2020/2569531
Wu L, Elshorbagy A, Pande S, Zhuo L (2021) Trade-offs and synergies in the water-energy-food nexus: the case of Saskatchewan. Canada. Resour Conserv Recy 164:105192. https://doi.org/10.1016/j.resconrec.2020.105192
Yang C, Huang J, Lin Z, Zhang D, Zhu Y, Xu X, Chen M (2018) Evaluating the symbiosis status of tourist towns: the case of Guizhou Province, China. Ann Tourism Res 72:109–125. https://doi.org/10.1016/j.annals.2018.07.008
Ye Q, Li S, Zhang Y, Shu X, Ni D (2011) Cloud model and application overview. Comput Eng Des 32(12):4198–4201 (In Chinese)
Yuan MH, Chiueh PT, Lo SL (2021) Measuring urban food-energy-water nexus sustainability: finding solutions for cities. Sci Total Environ 752:141954. https://doi.org/10.1016/j.scitotenv.2020.141954
Zaman K, Shamsuddin S, Ahmad M (2017) Energy-water-food nexus under financial constraint environment: good, the bad, and the ugly sustainability reforms in sub-Saharan African countries. Environ Sci Pollut Res Int 24(15):13358–13372. https://doi.org/10.1007/s11356-017-8961-1
Zarei M (2020) The water-energy-food nexus: a holistic approach for resource security in Iran, Iraq, and Turkey. Water-Energy Nexus 3:81–94. https://doi.org/10.1016/j.wen.2020.05.004
Zhang L, Wu X, Ding L, Skibniewski MJ (2013) A novel model for risk assessment of adjacent buildings in tunneling environments. Build Environ 65:185–194. https://doi.org/10.1016/j.buildenv.2013.04.008
Zhang X, Vesselinov VV (2017) Integrated modeling approach for optimal management of water, energy and food security nexus. Adv Water Resour 101:1–10. https://doi.org/10.1016/j.advwatres.2016.12.017
Zhang X, Li HY, Deng ZD, Ringler C, Gao Y, Hejazi MI, Leung LR (2018) Impacts of climate change, policy and water-energy-food nexus on hydropower development. Renew Energy 116:827–834. https://doi.org/10.1016/j.renene.2017.10.030
Zhang T, Tan Q, Yu X, Zhang S (2020) Synergy assessment and optimization for water-energy-food nexus: modeling and application. Renew Sust Energ Rev 134:110059. https://doi.org/10.1016/j.rser.2020.110059
Zhao H, Li N (2015) Risk evaluation of a UHV Power Transmission Construction Project based on a cloud model and FCE method for sustainability. Sustainability 7(3):2885–2914. https://doi.org/10.3390/su7032885
Zhao J, Jin J, Guo Q, Liu L, Chen Y, Pan M (2014) Dynamic risk assessment model for flood disaster on a projection pursuit cluster and its application. Stoch Environ Res Risk Assess 28(8):2175–2183. https://doi.org/10.1007/s00477-014-0881-8
Zhi Y, Chen J, Wang H, Liu G, Zhu W (2020) Assessment of water-energy-food nexus fitness in China from the perspective of symbiosis. China Popul Resour Environ 30(1):129–139 (In Chinese)
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This research was funded by funds from the National Natural Science Foundation of China (No. 52009019) and the Natural Science Foundation of Heilongjiang Province (No. LH2019E012).
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Yabin Fu, Yongtai Ren, and Wei Pei. The first draft of the manuscript was written by Yabin Fu, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Fu, Y., Ren, Y. & Pei, W. Evaluation of the symbiosis level of the water-energy-food complex system based on the improved cloud model: a case study in Heilongjiang Province. Environ Sci Pollut Res 30, 22963–22984 (2023). https://doi.org/10.1007/s11356-022-23555-y
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DOI: https://doi.org/10.1007/s11356-022-23555-y