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Model based sustainable management of regional water supply systems

 
: Bernard, Thomas; Krol, Oliver; Rauschenbach, Thomas; Linke, Hartmut; He, Guoping; Mu, Hong

:
Postprint urn:nbn:de:0011-n-1924671 (203 KByte PDF)
MD5 Fingerprint: 166dd1de9716338495c1e3affdaf52ae
© 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 17.1.2012


Wang, W. ; Institute of Electrical and Electronics Engineers -IEEE-, Beijing Section:
International Symposium on Water Resource and Environmental Protection, ISWREP 2011. Vol.2 : Xi'an, Shaanxi Province, China, 20 - 22 May 2011
Piscataway/NJ: IEEE, 2011
ISBN: 978-1-612-84339-1
ISBN: 978-1-61284-340-7
ISBN: 978-1-61284-338-4
ISBN: 978-1-61284-337-7
S.1140-1146
International Symposium on Water Resource and Environmental Protection (ISWREP) <2011, Xian>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
decision support system; large scale optimization; model reduction; water allocation modelling

Abstract
Sustainable management of water resources and a safe supply of drinking water will play a key role for the development of the human prosperity in the following decades. This paper presents an optimal control approach for the management of the total water resources in a fast developing region under a critical water shortage. A model of the water allocation system is developed which considers both surface and groundwater resources and the distribution network. The spatially distributed groundwater model is considered as a reduced model of the complex 3D Finite Element model. Hence the optimization problem, which is formulated as large scale structured non-linear programming problem, can be solved in an appropriate computation time. The performance of the proposed concept is demonstrated by close to reality optimization scenarios.

: http://publica.fraunhofer.de/dokumente/N-192467.html