Multi-Source Multi-Sector Sustainable Water Supply Under Multiple Uncertainties: An Inexact Fuzzy-Stochastic Quadratic Programming Approach

Water Resources Management

Volumn 27, Issue 2, 2013, Pages 451-473

  Tan, Q ^a,b   Huang, G H ^b   Cai, Y P ^b,c  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b UNIVERSITY OF REGINA   (Canada)

^c BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Decision making; Fuzzy random boundary interval; Inexact quadratic programming; Sustainable development; Uncertainty; Water supply

Indexed keywords

COMPUTATIONAL EFFICIENCY; DECISION MAKING; ECONOMICS; QUADRATIC PROGRAMMING; STOCHASTIC SYSTEMS; SUSTAINABLE DEVELOPMENT; WATER CONSERVATION; WATER SUPPLY SYSTEMS;

COMPUTATIONAL REQUIREMENTS; DYNAMIC PARAMETERS; ECONOMIES OF SCALE; FUZZY RANDOM; INTERACTIVE SOLUTION ALGORITHM; LONG TERM PLANNING; SUSTAINABLE WATER SUPPLY; UNCERTAINTY;

WATER SUPPLY;

ALGORITHM; COMPUTER SIMULATION; DECISION MAKING; FUZZY MATHEMATICS; NUMERICAL MODEL; OPTIMIZATION; STOCHASTICITY; SUSTAINABLE DEVELOPMENT; UNCERTAINTY ANALYSIS; WATER PLANNING; WATER SUPPLY;

EID: 84871712895     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-012-0196-9     Document Type: Article

References (29)

1. Aladenola OO, Adeboye OB (2010) Assessing the potential for rainwater harvesting. Water Resour Manag 24: 2129-2137.
2. Cai YP, Huang GH, Tan Q (2009) An inexact optimization model for regional energy systems planning in the mixed stochastic and fuzzy environment. Int J Energ Res 33(5): 443-468.
3. Cai YP, Huang GH, Tan Q, Chen B (2010) Identification of optimal strategies for improving eco-resilience to floods in ecologically vulnerable regions of a wetland. Ecol Model 222(2): 360-369.
4. Cai YP, Huang GH, Tan Q, Yang ZF (2011) An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. Part I: Methodology. Renew Sustain Energ Rev 15(6): 2779-2790.
5. Cao MF, Huang GH (2011) Scenario-based methods for interval linear programming problems. J Environ Informat 17(2): 65-74.
6. CDDC, Centre for Digital Discourse and Culture (2004) Choices and challenges project: sharing the earth's water supply. Virginia Tech, Blacksburg.
7. Chang NB (2005) Sustainable water resources management under uncertainty. Stoch Environ Res Risk Assess 19: 97-98.
8. Chen MJ, Huang GH (2001) A derivative algorithm for inexact quadratic program-application to environmental decision-making under uncertainty. Eur J Oper Res 128: 570-586.
9. Escudero LF (2000) WARSYP: a robust modeling approach for water resources system planning under uncertainty. Ann Oper Res 95: 313-339.
10. Fry A (2005) Water Facts and Trends World Business Council for Sustainable Development, Switzerland.
11. Hoekstra AY (2006) The global dimension of water governance: nine reasons for global arrangements in order to cope with local problems. Value of water research report. UNESCO-IHE Institute for Water Education, Delft.
12. Huang GH (1996) IPWM: an interval parameter water quality management model. Eng Optim 26: 79-103.
13. Huang GH, Linton JD, Yeomans JS, Yoogalingam R (2005) Policy planning under uncertainty: efficient starting populations for simulation-optimization methods applied to municipal solid waste management. J Environ Manag 77: 22-34.
14. Huang GH, Cao MF (2011) Analysis of solution methods for interval linear programming. J Environ Informat 17(2): 54-64.
15. Jairaj PG, Vedula S (2000) Multireservoir system optimization using fuzzy mathematical programming. Water Resour Manag 14: 457-472.
16. Loucks DP, Stakhiv EZ, Martin LR (2000) Sustainable water resources management. J Water Resour Plann Manag 126(2): 43-47.
17. Luhandjula MK (1996) Fuzziness and randomness in an optimization framework. Fuzzy Set Syst 77(3): 291-297.
18. Lund JR, Israel M (1995) Optimization of transfers in urban water supply planning. J Water Resour Plan Manag 121(1): 41-48.
19. Rosenberg DE, Lund JR (2009) Modeling integrated decision for a municipal water system with recourse and uncertainties: Amman, Jordan. Water Resour Manag 23: 85-115.
20. Sauer J (2005) Economies of scale and firm size optimum in rural water supply. Water Resour Res 41(11): 1-13.
21. Tan Q, Huang GH, Cai YP (2010a) A superiority-inferiority-based inexact fuzzy stochastic programming approach for solid waste management under uncertainty. Environ Model Assess 15(5): 381-396.
22. Tan Q, Huang GH, Cai YP (2010b) Radial-interval linear programming for environmental management under varied protection levels. J Air Waste Manag Assoc 60(9): 1078-1093.
23. Tan Q, Huang GH, Cai YP (2010c) Waste management with recourse: an inexact dynamic programming model containing fuzzy boundary intervals in objectives and constraints. J Environ Manage 91(9): 1898-1913.
24. Tan Q, Huang GH, Wu CZ, Cai YP (2011) IF-EM: an interval-parameter fuzzy linear programming model for environment-oriented evacuation planning under uncertainty. J Adv Transport 45(4): 286-303.
25. Tan Q, Huang GH, Cai YP (2012) Robust planning of environmental management systems with adjustable conservativeness under compound uncertainty. J Environ Eng - ASCE 138(2): 208-222.
26. van Hop N (2007) Solving fuzzy (stochastic) linear programming problems using superiority and inferiority measures. Inform Sci 177: 1977-1991.
27. Yang W, Yang Z (2010) An interactive fuzzy satisfying approach for sustainable water management in the Yellow River Delta, China. Water Resour Manag 24: 1273-1284.
28. Yang ZF, Li SS, Zhang Y, Huang GH (2011) Emergy synthesis for three main industries in Wuyishan City, China. J Environ Informat 17(1): 25-35.
29. Zheng C, Yang W, Yang ZF (2011) Strategies for managing environmental flows based on the spatial distribution of water quality: a case study of Baiyangdian Lake, China. J Environ Informat 18(2): 84-90.