Water Asset Management Strategy based on Predictive Rainfall/Runoff Model to Optimize the Evacuation of Water to the Sea

Baya Hadid, Eric Duviella

2018

Abstract

Hydrographical networks are large scale systems that are used to answer to the Human uses. They are impacted by extreme events that should be bigger due to climate change. By focusing on extreme rainy events, the amount of water in excess has to be dispatched on all the network to avoid flood, and then rejected to the sea heeding the tides. Pumps can also be used to reject the water to the sea but they lead to big operating cost. To deal with this challenging issue, the modelling tools and the water asset management strategies that have been recently proposed are adapted and improved in this paper. They consist in an integrated model, a flow-based network and a quadratic optimization based on constrains. The efficiency of this water management strategy requires an accurate predictive rainfall/runoff model. It is highlighted by considering a realistic case study that is also used to describe all the methodology step.

Paper Citation

in Harvard Style

Hadid B. and Duviella E. (2018). Water Asset Management Strategy based on Predictive Rainfall/Runoff Model to Optimize the Evacuation of Water to the Sea.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-321-6, pages 76-85. DOI: 10.5220/0006866500760085

in Bibtex Style

@conference{icinco18,
author={Baya Hadid and Eric Duviella},
title={Water Asset Management Strategy based on Predictive Rainfall/Runoff Model to Optimize the Evacuation of Water to the Sea},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2018},
pages={76-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006866500760085},
isbn={978-989-758-321-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Water Asset Management Strategy based on Predictive Rainfall/Runoff Model to Optimize the Evacuation of Water to the Sea
SN - 978-989-758-321-6
AU - Hadid B.
AU - Duviella E.
PY - 2018
SP - 76
EP - 85
DO - 10.5220/0006866500760085