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contributor authorS. Wang
contributor authorG. H. Huang
contributor authorY. Zhou
date accessioned2017-05-08T22:28:09Z
date available2017-05-08T22:28:09Z
date copyrightAugust 2015
date issued2015
identifier other45886166.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81116
description abstractFlood management systems involve a variety of complexities, such as multiple uncertainties and their interdependences, as well as multiregion and dynamic features. This paper thus presents an inexact two-stage mixed-integer programming with random coefficients (ITMP-RC) model for flood management in a dynamic and uncertain environment. ITMP-RC is capable of addressing dual uncertainties expressed as random boundary intervals that exist in the coefficients of the objective function. A case study of flood diversion planning is used to demonstrate the applicability of the proposed methodology. Results indicate that total system costs would be rising gradually with increased probabilities of occurrence, implying a trade-off between economic objective and system safety. A variety of decision alternatives can be obtained under different policy scenarios, which are useful for decision makers to formulate appropriate flood management policies according to practical situations. The performance of ITMP-RC is analyzed and compared with an inexact two-stage stochastic programming model.
publisherAmerican Society of Civil Engineers
titleInexact Probabilistic Optimization Model and Its Application to Flood Diversion Planning in a Dynamic and Uncertain Environment
typeJournal Paper
journal volume141
journal issue8
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)WR.1943-5452.0000492
treeJournal of Water Resources Planning and Management:;2015:;Volume ( 141 ):;issue: 008
contenttypeFulltext


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