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contributor authorS. V. N. Rao
contributor authorS. Murty Bhallamudi
contributor authorB. S. Thandaveswara
contributor authorG. C. Mishra
date accessioned2017-05-08T21:07:56Z
date available2017-05-08T21:07:56Z
date copyrightMay 2004
date issued2004
identifier other%28asce%290733-9496%282004%29130%3A3%28255%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/39892
description abstractA regional conjunctive use model is developed for a near-real deltaic aquifer system, irrigated from a diversion system, with some reference to hydrogeoclimatic conditions prevalent in the east coastal deltas of India. Water resources are sufficiently available in these regions under average monsoon rainfall conditions, but their distribution in space and time has been ever challenging to water managers. Surface-water availability shows temporal fluctuations in terms of floods and droughts, and groundwater availability shows mainly spatial variability in terms of quality and quantity due to the hydrogeologic setting, boundary conditions, and aquifer properties. The combined simulation-optimization model proposed in this study is solved as a nonlinear, nonconvex combinatorial problem using a simulated annealing algorithm and an existing sharp interface model. The computational burden is managed within practical time frames by replacing the flow simulator with artificial neural networks and using efficient algorithmic guidance.
publisherAmerican Society of Civil Engineers
titleConjunctive Use of Surface and Groundwater for Coastal and Deltaic Systems
typeJournal Paper
journal volume130
journal issue3
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)0733-9496(2004)130:3(255)
treeJournal of Water Resources Planning and Management:;2004:;Volume ( 130 ):;issue: 003
contenttypeFulltext


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