Constructed Wetland Planning-Based Bilevel Optimization Model under Fuzzy Random Environment: Case Study of Chaohu Lake
Publication: Journal of Water Resources Planning and Management
Volume 141, Issue 3
Abstract
To optimize regional economies, social employment, and water quality protection, a multiobjective bilevel optimization model under a fuzzy random environment based on constructed wetland planning is developed in this study. Fuzzy random variables are used to describe the uncertainties in the system, and three special fuzzy random simulation methods are proposed to address the fuzzy random variable calculations. From the inherent bilevel model interaction, a new algorithm called the fuzzy random simulation-based nested genetic algorithm (FRS-based NGA) is designed as an intelligent solution to solve the model. Then, the model is applied to a real-world case: the Chaohu Lake watershed, China. The results under different objective values, probability levels, and possibility levels are compared so that an optimal scheme for regional economic development, social employment, and the wetland construction scale can be identified. Finally, the comparative analysis, sensitivity analysis, and convergence analysis are provided to illustrate the effectiveness of the proposed model and algorithm.
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Acknowledgments
This research is supported by the Key Program of the National Natural Science Foundation of China (Grant No. 70831005), and also is supported by the Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China (Grant No. 20130181110063), the National Natural Science Foundation of China (Grant No. 71301109), and the Natural Science Foundation of Anhui Province (Grant No. KJ2011B140).
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Published In
Journal of Water Resources Planning and Management
Volume 141 • Issue 3 • March 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jan 25, 2014
Accepted: Jan 28, 2014
Published online: Jan 30, 2014
Discussion open until: Dec 14, 2014
Published in print: Mar 1, 2015
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