An inexact-stochastic with recourse model for developing regional economic-ecological sustainability under uncertainty

被引:17
|
作者
Li, Y. P. [1 ]
Huang, G. H. [2 ]
Zhang, N. [3 ]
Nie, S. L. [4 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China
[2] Univ Regina, Fac Engn, Environm Syst Engn Program, Regina, SK S4S 0A2, Canada
[3] China Int Ctr Econ & Tech Exchanges, Beijing 100007, Peoples R China
[4] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100022, Peoples R China
关键词
Decision making; Ecological; Modeling; Optimization; Stochastic with recourse; Sustainability; Uncertainty; Resources management; WATER-RESOURCES MANAGEMENT; QUALITY MANAGEMENT; PROGRAMMING MODEL; DECISION-MAKING; RIVER; OPTIMIZATION; SYSTEM;
D O I
10.1016/j.ecolmodel.2009.12.010
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Effective planning of resources management is important for facilitating socio-economic development and eco-environmental sustainability. Such a planning effort is complicated with a variety of uncertain, dynamic and nonlinear factors as well as their interactions. In this study, an inexact-stochastic quadratic programming with recourse (ISQP-R) method is developed for reflecting dynamics of system uncertainties based on a complete set of scenarios as well as tackling nonlinearities in the objective function to reflect the effects of marginal utility on system benefits and costs. Moreover, since penalties are exercised with recourse against any infeasibility, the ISQP-R can support the analysis of various policy scenarios that are associated with different levels of economic consequences when the promised targets are violated. The developed method is applied to a case study of planning resources management and developing regional ecological sustainability. The results have been generated and are helpful for decision makers in not only identifying desired resources-allocation strategies but also gaining insight into the tradeoff between economic objective and eco-environment violation risk. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:370 / 379
页数:10
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