References

  1. M. Li, P. Guo, S.Q. Fang, L.D. Zhang, An inexact fuzzy parameter two-stage stochastic programming model for irrigation water allocation under uncertainty, Stochastic Environ. Res. Risk Assess., 27 (2013) 1441–1452.
  2. H.F. Cheng, Y.N. Hu, Improving China’s water resources management for better adaptation to climate change, Clim. Change, 112 (2012) 253–282.
  3. S.J. Murray, P.N. Foster, I.C. Prentice, Future global water resources with respect to climate change and water withdrawals as estimated by a dynamic global vegetation model, J. Hydrol., 448–449 (2012) 14–29.
  4. Q. Wu, X.H. Xia, Response of surface water quality in urban and non-urban areas to heavy rainfall: implications for the impacts of climate change, J. Environ. Res. Lett., 1 (2019) 27–36.
  5. J. Toumi, S. Er-Raki, J. Ezzahar, S. Khabba, L. Jarlan, A. Chehbouni, Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): application to irrigation management, Agric. Water Manage., 163 (2016) 219–235.
  6. Y.Z. Chen, H.W. Lu, J. Li, L.X. Ren, L. He, A leader-followerinteractive method for regional water resources management with considering multiple water demands and eco-environmental constraints, J. Hydrol., 548 (2017) 127–134.
  7. P. Guo, G.H. Huang, Y.P. Li, Inexact fuzzy-stochastic programming for water resources management under multiple uncertainties, Environ. Model. Assess., 15 (2010) 111–124.
  8. C.L. Zhang, B.A. Engel, P. Guo, F. Zhang, S.S. Guo, X. Liu, Y.Z. Wang, An inexact robust two-stage mixed-integer linear programming approach for crop area planning under uncertainty, J. Cleaner Prod., 204 (2018) 489–500.
  9. H. Wang, C.L. Zhang, P. Guo, An interval quadratic fuzzy dependent-chance programming model for optimal irrigation water allocation under uncertainty, Water, 10 (2018) 684.
  10. S.H. Shang, The Analysis Methods and Applications of Water Resources System, 2000.
  11. G.H. Cheng, G.H. Huang, C. Dong, B.W. Baetz, Y.P. Li, Interval resources linear programming for resources and environmental systems management under uncertainty, J. Environ. Inf., 30 (2017) 119–136.
  12. M. Li, P. Guo, A multi-objective optimal allocation model for irrigation water resources under multiple uncertainties, Appl. Math. Modell., 38 (2014) 4897–4911.
  13. Q. Tan, S. Zhang, R. Li, Optimal use of agricultural water and land resources through reconfiguring crop planting structure under socioeconomic and ecological objectives, Water, 9 (2017) 488, https://doi.org/10.3390/w9070488.
  14. H. Peng, H.C. Zhou, A fuzzy-dependent chance multi-objective programming for water resources planning of a coastal city under fuzzy environment, Water Environ. J., 25 (2011) 40–54.
  15. H.W. Lu, G.H. Huang, Y.P. Lin, L. He, A two-step infinite α-cuts fuzzy linear programming method in determination of optimal allocation strategies in agricultural irrigation systems, Water Resour. Manage., 23 (2008) 2249–2269.
  16. Y.M. Zhang, G.H. Hang, Fuzzy robust credibility-constrained programming for environmental management and planning, J. Air Waste Manage., 60 (2012) 711–721.
  17. Y.M. Zhang, G.H. Huang, Q.G. Lin, H.W. Lu, Integer fuzzy credibility constrained programming for power system management, Energy, 38 (2012) 398–405.
  18. X.T. Zeng, S.Z. Kang, F.S. Li, L. Zhang, P. Guo, Fuzzy multiobjective linear programming applying to crop area planning, Agric. Water Manage., 98 (2010) 134–142.
  19. X.T. Zeng, Y.P. Li, W. Huang, X. Chen, A.M. Bao, Two-stage credibility-constrained programming with Hurwicz criterion (TCP-CH) for planning water resources management, Eng. Appl. Artif. Intell., 35 (2014) 164–175.
  20. W. Pedrycz, Why triangular membership functions?, Fuzzy Sets Syst., 64 (1994) 21–30.
  21. G.H. Huang, B.W. Baetz, G.G. Patry, A grey linear programming approach for municipal solid waste management planning under uncertainty, Civ. Eng. Syst., 9 (1992) 319–335.
  22. Y.R. Fan, G.H. Huang, P. Guo, A.L. Yang, Inexact two-stage stochastic partial programming: application to water resources management under uncertainty, Stochastic Environ. Res. Risk Assess., 26 (2012) 281–293.
  23. Y.Z. Wang, L. Liu, P. Guo, C.L. Zhang, F. Zhang, S.S. Guo, An inexact irrigation water allocation optimization model under future climate change, Stochastic Environ. Res. Risk Assess., 33 (2019) 271–285.
  24. Y.P. Li, G.H. Huang, L. Cui, J. Liu, Mathematical modeling for identifying cost-effective policy of municipal solid waste management under uncertainty, J. Environ. Inf., 34 (2019) 55–67.
  25. Z.N. Hu, C.T. Wei, L.M. Yao, L. Li, C.Z. Li, A multi-objective optimization model with conditional value-at-risk constraints for water allocation equality, J. Hydrol., 542 (2016) 330–342.
  26. J. Wang, W. Guo, J. Chen, Y. Sheng, Study on the Allocation of the Water Pollutants in the Basin by the GINI Coefficient, International Symposium on Water Resource and Environmental Protection, IEEE, Xi’an, China, 2011.
  27. B.D. Liu, R.Q. Zhao, G. Wang, Uncertain Programming with Applications, Press of Tsinghua University, Beijing, 2003.
  28. Y.M. Zhou, D.Q. Li, Minimum Deviation Method for Multi- Objective Optimization Design, 2002.
  29. Y. Jiang, X. Xu, Q.Z. Huang, Z.L. Huo, G.H. Huang, Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model, Agric. Water Manage., 178 (2016) 76–88.
  30. G.Q. Yang, P. Guo, L.J. Huo, C.F. Ren, Optimization of the irrigation water resources for Shijin irrigation district in North China, Agric. Water Manage., 158 (2015) 82–98.