Cloud model-based analysis of regional sustainable water resource utilization schemes

Authors

  • Fu Qiang Amgad Osman1, Li Yutong1 (1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 2. Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement, Northeast Agricultural University, Harbin 150030, China; 3. Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, China
  • Meng Fanxiang 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
  • Li Tianxiao 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
  • Liu Dong Amgad Osman1, Li Yutong1 (1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 2. Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement, Northeast Agricultural University, Harbin 150030, China; 3. Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, China
  • Gong Fanli 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
  • Amgad Osman 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
  • Li Yutong 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China

Keywords:

cloud model, regional water resources, sustainable utilization, normal cloud, scheme analysis

Abstract

Given the adverse effects of current water shortages, low utilization and imbalance between the supply and demand, and other status quo problems relating to social economic development, the construction industry and agriculture, a cloud model was applied to a water resource system using five sustainable water resource utilization schemes for Kiamusze, Heilongjiang Province, as an example. This research changes the qualitative description of the concept language into a quantitative analysis of an evaluation indicator. A cloud model-based analytical method for regional sustainable water resource utilization schemes was proposed, and the sustainable grades of the water resources were calculated. The research results showed that, in addition to the natural continuation of such schemes, the development trends of four new schemes achieved the sustainable utilization of water resources, and thus, the sustainable water resource utilization was optimized. However, when the open-source, throttle, comprehensive and coordination schemes were subjected to the optimum applicability analysis, based on the limiting factors in different periods, resource availability and long-term development, decision-making regarding the best solution in different periods better ensures sustainable development in Kiamusze. The research results provide a significant theoretical basis for the formulation of scientific and reasonable sustainable water resource utilization strategies in Kiamusze. Keywords: cloud model, regional water resources, sustainable utilization, normal cloud, scheme analysis DOI: 10.3965/j.ijabe.20160905.2529 Citation: Fu Q, Meng F X, Li T X, Liu D, Gong F L, Osman A, et al. Cloud model-based analysis of regional sustainable water resource utilization schemes. Int J Agric & Biol Eng, 2016; 9(5): 67-75.

Author Biographies

Fu Qiang, Amgad Osman1, Li Yutong1 (1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 2. Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement, Northeast Agricultural University, Harbin 150030, China; 3. Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, China

PhD, Professor Deaen, College of Water Conservancy & Architecture, Northeast Agricultural University

Meng Fanxiang, 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China

Ph.D student

Li Tianxiao, 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China

Ph.D student

Liu Dong, Amgad Osman1, Li Yutong1 (1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 2. Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement, Northeast Agricultural University, Harbin 150030, China; 3. Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, China

PhD, Professor

References

[1] Kallioras A, Ruzinski N. Sustainable development of energy, water and environment systems. Water Resour Manag, 2011; 25(12): 2917–2918. doi: 10.1007/s11269- 011-9888-9.
[2] Zilov E A. Water resources and the sustainable development of humankind: international cooperation in the rational use of freshwater-lake resources: conclusions from materials of foreign studies. Water Resour, 2013; 40(1): 84–95. doi: 10.1134/S0097807812030116.
[3] Ling H, Xu H, Fu J, Liu X. Surface runoff processes and sustainable utilization of water resources in Manas River Basin, Xinjiang, China. J Arid Land, 2012; 4(3): 271–280. doi: 10.3724/SP.J.1227.2012.00271.
[4] Fu Q, Li T X, Liu D, Dong H. Simulation study of the
sustainable utilization of urban water resources based on system dynamics: a case study of Jiamusi. Water Sci Technol: Water (Supply), 2016; 16(4): 980–991.
[5] Fu Q, Zhao K, Liu D, Jiang Q, Li T, Zhu C. Two-stage interval-parameter stochastic programming model based on adaptive water resource management. Water Resour Manag, 2016; 30(6): 2097–2109. doi: 10.1007/s11269-016-1273-2.
[6] Fu Q, Zhao K, Liu D, Jiang Q, Li T, Zhu C. The application of a water rights trading model based on two-stage interval-parameter stochastic programming. Water Resour Manag, 2016; 30(7): 2227–2243. doi: 10.1007/s11269- 016-1279-9.
[7] Fu Q, Zhu C H H, Jiang Q X, Guo H, Zhao K. Water resource management based on tradeoff analysis of multi-dimensional critical regulation and control indicators. Water Sci Technol: Water (Supply), 2015; 15(3): 552–558.
[8] Jin J, Wei Y, Zou L, Liu L, Zhang W, Zhou Y. Forewarning of sustainable utilization of regional water resources: a model based on BP neural network and set pair analysis. Nat Hazards, 2012; 62(1): 115–127. doi: 10.1007/s11069-011-0037-9.
[9] Dai T, S H, Sun S R, Zhao W H, Gu B Y. Evaluation of the sustainability of water resources system based on FAHP-PP model. Resources and Environment in The Yangtze Basin, 2009; 18(5): 421–426. (in Chinese with English abstract)
[10] Zhao X L, Li Z H Y, Ding J. Application of improved quantum genetic algorithm to the evaluation of sustainable utilization of regional water resources. J Nat Resour, 2007; 22(6): 980–985. (in Chinese with English abstract)
[11] Zhang D F. Evaluation of sustainable use of water resources in Wenshan based on AHP-BP model. J Water Resour Water Eng, 2013; 24(4): 203–209. (in Chinese with English abstract)
[12] Tan Q, Huang G H, Cai Y P. Multi-source multi-sector sustainable water supply under multiple uncertainties: an inexact fuzzy-stochastic quadratic programming approach. Water Resour Manag, 2013; 27(2): 451–473. doi: 10.1007/ s11269-012-0196-9.
[13] Cao Y S, Chen X N, Zhang W, Duan C Q. Application of evaluation model based on cloud theory in water resources carrying capacity. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2010; 31(4): 17–20. (in Chinese with English abstract)
[14] Li D Y, Liu C Y, Du Y, Han X. Artificial intelligence with uncertainty. J Softw, 2014; 15(11): 1583–1594.
[15] Li D Y, Liu C Y. Study on the universality of the normal cloud model. Eng Sci, 2004; 6(8): 28–34. (in Chinese with English abstract)
[16] Wang L, Wang Y R, Li X. An evaluation method of marine water quality based on cloud-model chart representation theory and its role in tourism of coastal cities. In: Zhu E, Sambath S (Ed.), Information Technology and Agricultural Engineering Advances in Intelligent and Soft Computing. Berlin: Springer-Verlag, 2012. pp. 337–344.
[17] Wang M, S H, Zhu M. Evaluating intensive land use situation of development zone based on cloud models. Transactions of the CSAE, 2012; 28(10): 247–252. (in Chinese with English abstract)
[18] Ding H, Wang D. The evaluation method of water eutrophication based on cloud model. Acta Scientiae Circumstantiae, 2013; 33(1): 251–257 (in Chinese with English abstract)
[19] Zhu M, Wen Y Q, Xiao C H, S H, Hu Q B. Comprehensive evaluation of LNG ship’s traffic adaptability based on cloud model. J Wuhan Univ Technol, 2013; 35(7): 63–68. (in Chinese with English abstract)
[20] Zhang F, Zhang P L, Lv Zh Y, Wang P. Assessment of urban air quality based on cloud models. Environ Sci Technol, 2009; 32(6): 160–164 (in Chinese with English abstract)
[21] Fang F, Yu A M. The economic evaluation of the wind power projects based on the cloud model. In: Zhang W (Ed.), Advanced Technology in Teaching Advances in Intelligent and Soft Computing. Berlin: Springer-Verlag, 2012. pp. 443-448.
[22] Guo L, Bin F. Research on vehicle scheduling problem based on cloud model. In: Qu X, Yang Y (Ed.), Communications in computer and information science. Berlin: Springer-Verlag, 2012. pp. 28–35.
[23] Shi Y, Liu H, Sun J. The cloud model based on grey system theory and application on effectiveness evaluation. In: Huang D S, Bevilacqua V, Figueroa J C, Premaratne P (Ed.), Intelligent computing theories. Berlin: Springer-Verlag, 2013. pp. 31–38.
[24] Fu Q, Gong F, Jiang Q, Li T, Cheng K, Dong H, et al. Risk assessment of the city water resources system based on pansystems observation-control model of periphery. Nat Hazards, 2014; 71(3): 1899–1912. doi: 10.1007/s11069- 013-1004-4.
[25] Deng L, Chen S, Karney B. Comprehensive evaluation method of urban water resources utilization based on dynamic reduct. Water Resour Manag, 2012; 26(10): 2733–2745. doi: 10.1007/s11269-012-0036-y.
[26] Bao C, Fang C. Water resources flows related to urbanization in China: challenges and perspectives for water management and urban development. Water Resour Manag, 2012; 26(2): 531–552. doi: 10.1007/s11269-011-9930-y.
[27] Li D Y, Shi M X, Meng H J. Membership clouds and membership cloud generators. J Comput Res Dev, 1995; 32(6): 15–20. (in Chinese with English abstract)
[28] Jiang Q X. Study on carrying capacity evaluation and dynamic simulation of sustainable utilization of water and land resources in Sanjiang Plain. Harbin: Northeast Agricultural University, 2011. (in Chinese)

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Published

2016-09-30

How to Cite

Qiang, F., Fanxiang, M., Tianxiao, L., Dong, L., Fanli, G., Osman, A., & Yutong, L. (2016). Cloud model-based analysis of regional sustainable water resource utilization schemes. International Journal of Agricultural and Biological Engineering, 9(5), 67–75. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/2529

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Section

Natural Resources and Environmental Systems