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Conference Papers Year : 2018

Reconstruction of hydrometric data using a network optimization model


Water resource managers need to implement precise and efficient water management methods particularly in the context of low flow water management. The management objectives are complex because managers must satisfy both water demands for human activities and environmental goals. More often the flow objectives are defined at specific strategic points in which hydrometric stations are based. In order to allow the manager to better understand the hydrographical network behavior, in particular for inter-basin water transfer, these strategic hydrometric stations must be reinforced by some intermediate hydrometric stations, by modeling the network behavior, and by introducing weather forecast data in order to simulate the evolution in time and space of the river. For an efficient management, it is essential that the data collected and the output of the models (the natural flow and the withdrawals) must be reliable. For this purpose, a network optimization model was developed for analyzing the consistency of the available data set (measurements and model outputs) on a hydraulic system. Herein, a reconstruction of hydrometric data using this network optimization model is applied to the Arrats watershed management.
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hal-02053202 , version 1 (01-03-2019)


  • HAL Id : hal-02053202 , version 1
  • OATAO : 20989


Ayoub Tahiri, David Ladevèze, Pascale Chiron, Bernard Archimède. Reconstruction of hydrometric data using a network optimization model. 13th International Conference on Hydroinformatics (HIC 2018), Jul 2018, Palermo, Italy. pp.139-146. ⟨hal-02053202⟩
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