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Computational Intelligence in Hydroinformatics: A Review

  • Conference paper
Neural Nets WIRN Vietri-99

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

Hydroinformatics is the field of study of the flow of information and its processing by knowledge as applied to the flow of fluids and their interaction with the aquatic environment. Many new modeling techniques have been entered in Hydroinformatics successfully. Among them, the application Computational Intelligence methods in Hydroinformatics is a relatively new area of research, even if some successful results have been already obtained. In this review we present a general overview of the applications of Computational Intelligence methods to Hydroinformatics and analyze some promising cases study concerning, namely, estimation of sanitary flows, rainfall prediction, unit hydrograph estimation, groundwater monitoring, flood waves propagation, and pump scheduling.

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Author information

Authors and Affiliations

  1. Istituto Nazionale per la Fisica della Materia, Via Dodecaneso 35, 16146, Genova, Italy

    F. Masulli

  2. Istituto di Ricerca sulle Acque del Consiglio Nazionale delle Ricerche, Via Reno 1, 00198, Roma, Italy

    Gb. Cicioni

  3. DISI — Dipartimento di Informatica e Scienze dell’Informazione, Università di Genova, Via Dodecaneso 35, 16146, Genova, Italy

    F. Masulli

Authors
  1. Gb. Cicioni
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  2. F. Masulli
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Editor information

Editors and Affiliations

  1. Dipartimento di Scienze Fisiche, “E.R. Caianiello”, Universita di Salerno, 84081, Baronissi (SA), Italy

    Maria Marinaro

  2. DMI, Universita di Salerno, 84081, Baronissi (SA), Italy

    Roberto Tagliaferri

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© 1999 Springer-Verlag London Limited

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Cicioni, G., Masulli, F. (1999). Computational Intelligence in Hydroinformatics: A Review. In: Marinaro, M., Tagliaferri, R. (eds) Neural Nets WIRN Vietri-99. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0877-1_3

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  • DOI: https://doi.org/10.1007/978-1-4471-0877-1_3

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1226-6

  • Online ISBN: 978-1-4471-0877-1

  • eBook Packages: Springer Book Archive

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