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Natural Hazards

, Volume 32, Issue 1, pp 135–154 | Cite as

Prediction of Displacements in Unstable Areas Using a Neural Model

  • E. Binaghi
  • M. Boschetti
  • P.A. Brivio
  • I. Gallo
  • F. Pergalani
  • A. Rampini
Article

Abstract

In pipeline management the accurate prediction of weak displacements is a crucial factor in drawing up a prevention policy since the accumulation of these displacements over a period of several years can lead to situations of high risk. This work addresses the specific problem related to the prediction of displacements induced by rainfall in unstable areas, of known geology, and crossed by underground pipelines. A neural model has been configured which learns of displacements from instrumented sites (where inclinometric measurements are available) and is able to generalise to other sites not equipped with inclinometers.

unstable areas lifeline multilayer perceptron neural network prediction multisource data analysis rainfall 

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Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • E. Binaghi
    • 1
  • M. Boschetti
    • 1
  • P.A. Brivio
    • 1
  • I. Gallo
    • 1
  • F. Pergalani
    • 2
  • A. Rampini
    • 1
  1. 1.Istituto per le Tecnologie Informatiche Multimediali, Consiglio Nazionale delle RicercheMilanItaly
  2. 2.Dipartimento di Ingegneria StrutturalePolitecnico di MilanoMilanItaly

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