An entropy method for floodplain monitoring network design

E. Ridolfi*, K. Yan, L. Alfonso, G. Di Baldassarre, F. Napolitano, F. Russo, Paul D. Bates

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

12 Citations (Scopus)


In recent years an increasing number of flood-related fatalities has highlighted the necessity of improving flood risk management to reduce human and economic losses. In this framework, monitoring of flood-prone areas is a key factor for building a resilient environment. In this paper a method for designing a floodplain monitoring network is presented. A redundant network of cheap wireless sensors (GridStix) measuring water depth is considered over a reach of the River Dee (UK), with sensors placed both in the channel and in the floodplain. Through a Three Objective Optimization Problem (TOOP) the best layouts of sensors are evaluated, minimizing their redundancy, maximizing their joint information content and maximizing the accuracy of the observations. A simple raster-based inundation model (LISFLOOD-FP) is used to generate a synthetic GridStix data set of water stages .The Digital Elevation Model (DEM) that is used for hydraulic model building is the globally and freely available SRTM DEM.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Number of pages4
Publication statusPublished - 2012
EventInternational Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2012 - Kos, Greece
Duration: 19 Sept 201225 Sept 2012


ConferenceInternational Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2012


  • Entropy
  • Flood modeling
  • Flood monitoring
  • Flood risk
  • Genetic algorithm
  • Network design


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