An inexact modeling approach for supporting water resources allocation under natural and social complexities in a border city of China and Myanmar
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Al-Ansari, 2017, Integration of greenhouse gas control technologies within the energy, water and food nexus to enhance the environmental performance of food production systems, J. Clean. Prod., 162, 1592, 10.1016/j.jclepro.2017.06.097
Andrzej, 1997, Accelerating the regularized decomposition method for two stage stochastic linear problems, Eur. J. Oper. Res., 101, 328, 10.1016/S0377-2217(96)00401-8
Armagan, 2016, Mapping water provisioning services to support the ecosystem-water-food-energy nexus in the Danube river basin, Ecosyst. Serv., 17, 278, 10.1016/j.ecoser.2015.08.002
Badiozamani, 2019, Mixed integer linear programming for oil sands production planning and tailings management, J. Environ. Inform., 33, 96
Cai, 2011, An inexact programming approach for supporting ecologically sustainable water supply with the consideration of uncertain water demand by ecosystems, Stoch. Environ. Res. Risk Assess., 25, 721, 10.1007/s00477-011-0477-5
Cai, 2009, Community-scale energy management systems design under uncertainty - An interval chance-constrained programming approach, Renew. Sust. Energ. Rev., 13, 721, 10.1016/j.rser.2008.01.008
Cai, 2009, Identification of optimal strategies for energy management systems planning under multiple uncertainties, Appl. Energ., 86, 480, 10.1016/j.apenergy.2008.09.025
Charnes, 1959, Chance-constrained programming, Manage. Sci., 6, 73, 10.1287/mnsc.6.1.73
Clarke, 2003, RIVPACS models for predicting the expected macroinvertebrate fauna and assessing the ecological quality of rivers, Ecol. Modell., 160, 219, 10.1016/S0304-3800(02)00255-7
2000, Directive 2000/60/EC of the European Parliament and of the council, Off J Eur. Comm., 1
Fan, 2012, Climate characteristics and change trend of Nujiang River Basin, J. Geogr., 67, 621
Feng, 2002, Revelation of the water uses in international rivers of China from the water dispute case in the Banube by international courtof justice, Resour. Environ. Yangtze Basin, 11, 471
Feng, 2006, Water allocation in water-transboundary river and correlation to international law, Chin. Sci. Bull., 51, 21
Zhou, 2005, Analysis and assessment of water environment in Lincang area and suggestions for improvement, Beijing Water Conserv., 02, 47
Fu YH., Guo P., Fang S.Q., et al. Optimal water resources planning based on interval-parameter two-stage stochastic programming.Transactions of the CSAE, 2014, 30(5), 73–81.(in Chinese).
Guo, 2009, Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties, Stoch. Environ. Res. Risk Assess., 23, 349, 10.1007/s00477-008-0221-y
Guo, 2010, Inexact Fuzzy-Stochastic Programming for Water Resources Management Under Multiple Uncertainties, Environ. Model. Assess., 15, 111, 10.1007/s10666-009-9194-6
Huang, 1992, A GREY LINEAR PROGRAMMING APPROACH FOR MUNICIPAL SOLID WASTE MANAGEMENT PLANNING UNDER UNCERTAINTY, Civil Eng. Syst., 319, 10.1080/02630259208970657
Huang, 2000, An inexact two-stage stochastic programming model for water resourses management under uncertainty, Civil Eng. Environ. Syst., 17, 95, 10.1080/02630250008970277
Icaga, 2007, Fuzzy evaluation of water quality classification, Ecol. Indic, 7, 710, 10.1016/j.ecolind.2006.08.002
Jimenez, 2007, Linear programming with fuzzy parameters: an interactive method resolution, Eur. J. Oper. Res., 177, 1599, 10.1016/j.ejor.2005.10.002
Kamp, 2007, River habitat monitoring and assessment in Germany, Environ. Monit. Assess., 127, 209, 10.1007/s10661-006-9274-x
Lee, 2005, Interactive fuzzy optimization for an economic and environmental balance in a river system, Water Resour., 39, 221
Li, 2018, A multi-stage fuzzy stochastic programming method for water resources management with the consideration of ecological water demand, Ecol. Indic, 95, 930, 10.1016/j.ecolind.2018.07.029
Li, 2013
Li, 2006, An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty, Adv. Water Resour., 29, 776, 10.1016/j.advwatres.2005.07.008
Li Y, 2008, Inexact multistage stochastic integer programming for water resources management under uncertainty, J. Environ. Manage., 88, 93, 10.1016/j.jenvman.2007.01.056
Li, 2010, An inexact two-stage water management model for planning agricultural irrigation under uncertainty, Agricult. Water Manag., 97, 1905, 10.1016/j.agwat.2010.07.005
Li, 2014, Inexact Optimization Model for Supporting Waste-Load Allocation in the Xiangxi River Basin of the Three Gorges Reservoir Region, China, J. Comput. Civil Eng.
Li, 2017, A Fuzzy Gradient Chance-Constrained Evacuation Model for Managing Risks of Nuclear Power Plants under Multiple Uncertainties, J. Environ. Inform.
Lincang Water Bureau. Lincang water resources bulletin. 2016. (in Chinese).
Liu, 2010, Analysis of the prediction results of climate change in 1951-2008 and different scenarios in 2010-2099 in Lancang River Basin, Prog. Clim. Change Res., 6, 170
Liu, 2003
Liu, 2012
Lin, 2009, IFTEM: an interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty, Energy Policy, 37, 868, 10.1016/j.enpol.2008.10.038
Loucks, 2005
Lustig I, 1991, Formulating Two-Stage Stochastic Programs for Interior Point Methods, Oper. Res., 39, 757, 10.1287/opre.39.5.757
National Climate Center. China regional climate change prediction data set version 3.0 [R/OL]. 2012 [2016-08-20]. http://www.tianqi.com/news/10059.html.
2010, General survey of river and lake conditions
Parsons, 2001, 1
Qin, 2009, An inexact chance-constrained quadratic programming model for stream water quality management, Water Resour. Manag., 23, 661, 10.1007/s11269-008-9294-0
Rong, 2015, Leaf carbon, nitrogen and phosphorus stoichiometry of Tamarix chinensis Lour. in the Laizhou Bay coastal wetland, China, Ecol. Eng., 76, 57, 10.1016/j.ecoleng.2014.03.002
Safavi H, 2013, Optimal reservoir operation based on conjunctive use of surface water and groundwater using neuro-fuzzy systems, Water Resour. Manag., 27, 4259, 10.1007/s11269-013-0405-1
Tan, 2010, A superiority-inferiority-based inexact fuzzy stochastic programming approach for solid waste management under uncertainty, Environ. Model. Assess, 15, 381, 10.1007/s10666-009-9214-6
Tan, 2011, Radial interval chance-constrained programming for agricultural nonpoint-source water pollution control under uncertainty, Agr. Water Manage., 98, 1595, 10.1016/j.agwat.2011.05.013
Tan, 2013, Multi-source multi-sector sustainable water supply under multiple uncertainties: an inexact fuzzy-stochastic quadratic programming approach, Water Resour. Manag., 27, 451, 10.1007/s11269-012-0196-9
Tan, 2015, A Fuzzy Evacuation Management Model Oriented Toward the Mitigation of Emissions., J.Environ.Inform., 25, 117, 10.3808/jei.201400272
Villinski, 2003
Wathins, 2000, A scenario-based stochastic programming model for water supplies from the highland lakes, Int. Trans. Oper. Res., 7, 211, 10.1111/j.1475-3995.2000.tb00195.x
Wilson, 2002, Energy balance closure at FLUXNET sites, Agric. For. Meteorol., 113, 0
Xu, 2012, An inexact two-stage stochastic model for water resource management under uncertainty, J. Environ. Sci., 32, 3133
Xu, 2017, A two-stage fuzzy chance-constrained water management model, Environ. Sci. Pollut. Res., 24, 12437, 10.1007/s11356-017-8725-y
Yue, 2014, A hybrid life-cycle and fuzzy-set-pair analyses approach for comprehensively evaluating impacts of industrial wastewater under uncertainty, J. Clean Prod., 80, 57, 10.1016/j.jclepro.2014.05.097
Zadeh L, 1975, Concept of a linguistic variable and its application to approximate reasoning, Inf. Sci.
Zadeh L, 1978, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets Syst., 1, 3, 10.1016/0165-0114(78)90029-5
Zarghami, 2015, Nonlinear interval parameter programming combined with cooperative games: a tool for addressing uncertainty in water allocation using water diplomacy framework, Water Resour. Manag., 29, 4285, 10.1007/s11269-015-1060-5
Zeng, 2014, Two-stage credibility-constrained programming with Hurwicz criterion (TCP-CH) for planning water resources management, Eng. Appl. Artif. Intell., 35, 164, 10.1016/j.engappai.2014.06.021
Zhang, 2007, Progress of, obstacles and outlets to China’ s participation in the cooperation of the Great Mekong sub-region, Southeast Asian Aff., 03, 1
Zhang, 2017, A generalized fuzzy credibility-constrained linear fractional programming approach for optimal irrigation water allocation under uncertainty, J Hydrol (Amst), 553, 735, 10.1016/j.jhydrol.2017.08.008
Zhang, 2010, Fuzzy Robust Credibility-Constrained Programming for Environmental Management and Planning, J. Air Waste Manage Assoc., 60, 711, 10.3155/1047-3289.60.6.711
Zhang, 2011, Inexact credibility constrained programming for environmental system management, Resour. Conserv. Recycl., 55, 441, 10.1016/j.resconrec.2010.11.007