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Development of a decision support system for integrated water management in river basins

  • 4 Applied Artificial Intelligence and Knowledge-Based Systems in Specific Domains
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Tasks and Methods in Applied Artificial Intelligence (IEA/AIE 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1416))

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Abstract

The application of computers for the planning and operation of water resource systems is a rapidly advancing field of research. In recent years, decision support system (DSS) has gained much attention in civil engineering, in which the output can be displayed in high quality and easy to be understood. In this study, the decision support system for integrated water management, CTIWM, is developed with particular reference to Chikugo River basin, a multipurpose multireservoir system in Japan. It uses a module library that contains compatible modules for simulating a variety of water and physio-chemical processes. Different kinds of numerical models may be invoked through user interface menu, which facilitates communications between users and models in a friendly way. It demonstrates that the integration of DSS technique, simulation and optimization models is an efficient way for water resources management.

Alexander von Humboldt (AvH) Research Fellow at the Institute for Hydrology, Water Management and Environmental Techniques, Ruhr-University Bochum, Germany

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Angel Pasqual del Pobil José Mira Moonis Ali

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© 1998 Springer-Verlag Berlin Heidelberg

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Xu, Z.X., Ito, K., Jinno, K., Kojiri, T. (1998). Development of a decision support system for integrated water management in river basins. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_454

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  • DOI: https://doi.org/10.1007/3-540-64574-8_454

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64574-0

  • Online ISBN: 978-3-540-69350-5

  • eBook Packages: Springer Book Archive

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