Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/74194
Title: Harnessing hydrological systems knowledge for improved water resource management in water stressed cities such as Singapore
Authors: Babovic, V. 
Rao, R. 
Keywords: Data assimilation
Data mining
Genetic programming
Hydroinformatics
Issue Date: 2009
Source: Babovic, V.,Rao, R. (2009). Harnessing hydrological systems knowledge for improved water resource management in water stressed cities such as Singapore. IAHS-AISH Publication 331 : 173-179. ScholarBank@NUS Repository.
Abstract: Many water-stressed countries, such as Singapore, need to efficiently manage their resources. The reservoir system often needs to operate optimally, catering to multiple demands within many operational constraints. Suitable solutions are usually quite complex and call for holistic approaches combining the systems knowledge of the various hydrological and hydrodynamic processes mvolved. The governing mechanisms and their interactions are often complex and are not easily described by simple numerical models. With the increasing availability of stored data on each of these processes, data-driven techniques provide additional support m understanding these processes. A unified multi-reservoir management framework is suggested and various possible uses of different hydroinformatics techniques are outlined. Specific applications of model emulation and data assimilation using genetic programming techniques are illustrated with representative examples. The advantages of using these computationally efficient techniques are highlighted. Copyright © 2009 IAHS Press.
Source Title: IAHS-AISH Publication
URI: http://scholarbank.nus.edu.sg/handle/10635/74194
ISBN: 9781907161025
ISSN: 01447815
Appears in Collections:Staff Publications

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