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AquaVar: Real Time Models for Underground and Surface Waters Management at Catchment Scale

8 pagesPublished: September 20, 2018

Abstract

Management of water uses requests to harmonize demands and needs which are getting more complex and sophisticated. During the past 3 decades, modeling systems for hydrology, hydraulics and water quality have been used as stand alone products and were used in order to produce an analysis of a current situation and to generate forecast according to different horizons. The current situation requests an integration of the modeling tools into the information systems that are now dedicated to the global management of urban environments. Energy distribution, water distribution, solid wastes collection, traffic optimization are today major issues for cities that are looking for functional Decisions Supports Systems (DSSs) that may operate in a sustainable perspective. The basic requirement of real time assessment of the situation, the modeling systems identified as main elements of analytics and used for forecasts have to integrate a common framework allowing modular approach and interoperability. The paper presents the interest for a generic operational approach that could be implemented in order to address the management of water uses in a complex urban environment and to provide real time assessment and forecasts. The proposed approach is illustrated with application on Var catchment (3,000 km2) located in the French Riviera.

Keyphrases: deterministic modelling, dss, information system architecture, real time, system modelling, var catchment

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 836-843.

BibTeX entry
@inproceedings{HIC2018:AquaVar_Real_Time_Models,
  author    = {Philippe Gourbesville and Marc Gaetano and Qiang Ma},
  title     = {AquaVar: Real Time Models for Underground and Surface Waters Management at Catchment Scale},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/kKm4},
  doi       = {10.29007/mv2t},
  pages     = {836-843},
  year      = {2018}}
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