101. Multiobjective statistical method for interior drainage systems
- Author
-
Yacov Y. Haimes, Kenneth A. Loparo, S. C. Olenik, and S. K. Nanda
- Subjects
geography ,Mathematical optimization ,Engineering ,geography.geographical_feature_category ,Optimization problem ,Operations research ,Flood myth ,business.industry ,Probabilistic behavior ,Multi-objective optimization ,Drainage system (geomorphology) ,Stage (hydrology) ,Drainage ,Levee ,business ,Water Science and Technology - Abstract
In this paper the design of a levee drainage system is formulated as a multiobjective optimization problem in a probabilistic framework. The statistical nature of the problem is reflected by the probabilistic behavior of rainfall and river stage events in any given month. The multiobjective approach allows for the incorporation of noncommensurable objectives such as aesthetics, economics, and social issues into the optimization problem, providing a more realistic quantification of the impact of a flood or high water situation in an interior basin. A new method referred to as the multiobjective statistical method, which integrates statistical attributes with multiobjective optimization methodologies such as the surrogate worth trade-off method, is developed in this paper. A case study using data from the Moline area in Illinois suggests the use of the procedure.
- Published
- 1980
- Full Text
- View/download PDF