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contributor authorA. Andres Salazar
contributor authorRalph A. Wurbs
date accessioned2017-05-08T21:07:58Z
date available2017-05-08T21:07:58Z
date copyrightNovember 2004
date issued2004
identifier other%28asce%290733-9496%282004%29130%3A6%28450%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/39915
description abstractA conditional reliability model (CRM) is presented for assessing reliabilities for meeting water needs over the next several months, conditioned upon current reservoir storage contents. The CRM procedure was developed in conjunction with a generalized river/reservoir system model called the Water Rights Analysis Package (WRAP). The CRM methodology is presented in the context of the WRAP model, but the process is applicable to other models as well. A new concept of conditional frequency duration curves, representing probability distributions of naturalized streamflows conditioned on preceding simulated reservoir storage, is incorporated in the CRM methodology. The results of the model are probability-weighted values of storage or diversion from many short-term simulations that start with the same storage condition. Applications of the model in annual operational planning, drought contingency planning, and reservoir resilience analysis are presented, along with pertinent discussions of the fundamental concepts of the model and comparison with the alternative, simpler approach of assuming each short-term simulation is equally likely to occur.
publisherAmerican Society of Civil Engineers
titleConditional Reliability Modeling of Short-Term River Basin Management
typeJournal Paper
journal volume130
journal issue6
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)0733-9496(2004)130:6(450)
treeJournal of Water Resources Planning and Management:;2004:;Volume ( 130 ):;issue: 006
contenttypeFulltext


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