An inexact Two-Stage water quality management model for supporting sustainable development in a rural system

Journal of Environmental Informatics

Volumn 24, Issue 1, 2014, Pages 52-64

  Zhang, N ^a,b   Li, Y P ^a   Huang, W W ^c   Liu, J ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b UNIVERSITY OF REGINA   (Canada)

^c MCMASTER UNIVERSITY   (Canada)

Author keywords

Optimization; Risk analysis; Sustainable development; Uncertainty; Water quality

Indexed keywords

OPTIMIZATION; RISK ASSESSMENT; RURAL AREA; SUSTAINABLE DEVELOPMENT; UNCERTAINTY ANALYSIS; WATER ECONOMICS; WATER MANAGEMENT; WATER QUALITY; WATER RESOURCE;

CHINA;

EID: 84907479621     PISSN: 17262135     EISSN: 16848799     Source Type: Journal    
DOI: 10.3808/jei.201400274     Document Type: Article

References (22)

1. Birge, J.R., and Louveaux, F.V. (1988). A multicut algorithm for two-stage stochastic linear programs. Eur. J. Oper. Res., 34(3), 384-392. http://dx.doi.org/10.1016/0377-2217(88)90159-2
2. Chang, N.B., Chen, H.W., and Ning, S.K (2001). Identification of river water quality using the fuzzy synthetic evaluation approach. J. Environ. Manage., 63(3), 293-305. http://dx.doi.org/10.1006/jema. 2001.0483
3. Deviney Jr, F.A., Brown, D.E., and Rice, K.C. (2012). Evaluation of bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators. J. Environ. Inf., 19(2), 70-78. http://dx.doi.org/10.3808/ jei.201200210
4. Fan, Y.R., and Huang, G.H. (2012). A robust two-step method for solving interval linear programming problems within an environmental management context. J. Environ. Inf., 19(1), 1-12. http://dx. doi.org/10.3808/jei.201200203
5. Graveline, N., Loubier, S., Gleyses, G., and Rinaudo J.D. (2012). Impact of farming on water resources: Assessing uncertainty with Monte Carlo simulations in a global change context. Agric. Syst., 108, 29-41. http://dx.doi.org/10.1016/j.agsy.2012. 01.002
6. Huang, G.H. (1998). A hybrid inexact-stochastic water manage- ment model. Eur. J. Oper. Res., 107(1), 137-158. http://dx.doi.org/10.10 16/S0377-2217(97)00144-6
7. Huang, G.H., and Loucks, D.P. (2000). An inexact two-stage stochastic programming model for water resources management under uncertainty. Civ. Eng. Environ. Syst., 17(2), 95-118. http://dx.doi. org/ 10.1080/ 02630250008970277
8. Huang, G.H., Chen, B., Qin, X.S., Mance, E. et al. (2006). An Integrated Decision Support System for Developing Rural Eco-Environmental Sustainability in the Mountain-River-Lake Region of Jiangxi Province, China (Final Report), submitted to United Nations Development Program.
9. Huang, G.H., Qin, X.S., Sun, W., Nie, X.H., and Li, Y.P. (2009). An optimisation-based environmental decision support system for sustainable development in a rural area in China. Civ. Eng. Environ. Syst., 26(1), 65-83. http://dx.doi.org/10.1080/10286600802003732
10. Karmakar, S., and Mujumdar, P.P. (2007). A two-phase grey fuzzy optimization approach for water quality management of a river system. Adv. Water Resour., 30(5), 1218-1235. http://dx.doi.org/10. 1016/j.advwatres.2006.11.001
11. Kisi, O., Akbari, N., Sanatipour, M., Hashemi, A., Teimourzadeh, K., and Shiri, J. (2013). Modeling of dissolved oxygen in river water using artificial intelligence techniques. J. Environ. Inf., 22(2), 92- 101. http://dx.doi.org/10.3808/jei.201300248
12. Li, Y.P., Huang, G.H., Nie, S.L., and Qin, X.S. (2007). ITCLP: An inexact two-stage chance-constrained program for planning waste management systems. Res. Conserv. Recycling, 49(3), 284-307. http://dx.doi.org/10.1016/j.resconrec.2006.03.017
13. Li, Y.P., and Huang, G.H. (2009). Two-stage planning for sustainable water quality management under uncertainty. J. Environ. Manag., 90(8), 2402-2413. http://dx.doi.org/10.1016/ j.jenvman. 2008.11.007
14. Li, Y.P., Huang, G.H., Huang, Y.F., and Zhou, H.D. (2009). A multistage fuzzy-stochastic programming model for supporting sustainable water resources allocation and management. Environ. Model. Software, 24(7), 786-797. http://dx.doi.org/10.1016/j.env soft.2008.11.008
15. Li, Y.P., Huang, G.H., and Nie, S.L. (2011). Optimization of regional economic and environmental systems under fuzzy and random uncertainties. J. Environ. Manag., 92(8), 2010-2020. http://dx.doi. org/10.1016/j.jenvman.2011.03.022
16. Li, Y.P., and Huang, G.H. (2011). Planning agricultural water resources system associated with fuzzy and random features. J. Am. Water Resour. Assoc., 47(4), 841-860. http://dx.doi.org/10.1111/j. 1752-1688.2011.00558.x
17. Li, Y.P., Liu, J., and Huang, G.H. (2014). A hybrid fuzzy-stochastic programming method for water trading within an agricultural system. Agric. Syst., 123, 71-83. http://dx.doi.org/10.1016/j.agsy.2 013.10.001
18. Loucks, D.P., Stedinger, J.R., and Haith, D.A. (1981). Water Resource Systems Planning and Analysis, Prentice-Hall, Eng-lewood Cliffs, N.J.
19. Ruszczynski, A., and Swietanowski, A. (1997). Accelerating the regularized decomposition method for two-stage stochastic linear problems. Eur. J. Oper. Res., 101(2), 328-342. http://dx.doi.org/10. 1016/S0377-2217(96)00401-8
20. Suo, M.Q., Li, Y.P., Huang, G.H., Deng, D.L., and Li, Y.F. (2013). Electric power system planning under uncertainty using inex- act inventory nonlinear programming method. J. Environ. Inf., 22(1), 49-67. http://dx.doi.org/10.3808/jei.201300245
21. Xu, T.Y., and X.S. Qin (2013). Solving water quality management problem through combined genetic algorithm and fuzzy simulation. J. Environ. Inf., 22(1), 39-48. http://dx.doi.org/10.3808/jei.201300244
22. Yongxin Bureau of Statistics (2010). Statistical Communiqué on the 2009 Economic and Social Development in Yongxin, D30 320- 0404-2010-0001.