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An affordable smart sensor network for water level management in a catchment

Zhang, Dian orcid logoORCID: 0000-0001-5659-5865, O'Neill, Maria, Heery, Brendan orcid logoORCID: 0000-0002-8610-5238, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Regan, Fiona orcid logoORCID: 0000-0002-8273-9970 (2016) An affordable smart sensor network for water level management in a catchment. In: IWA Regional Conference on Diffuse Pollution and Catchment Management, 23-27 Oct. 2016, Dublin, Ireland.

Abstract
Accurately monitoring water levels at high special and temporal scale is the key element in every catchment or flood risk management system. Building, evaluating and testing hydrological models typically require years of high frequency datasets. Current water level monitoring systems are expensive and usually deployed sparsely throughout a catchment. This may not provide sufficient information to simulate the hydrological variations of a catchment. In this paper, we evaluate the Kingspan Sonic SignalMan ultra-sonic sensor that is designed for monitoring liquid, such as diesel, AdBlue, lubricants additives etc., level autonomously over years. The cost of this sensor is relatively low, which enables the deploying of a water level monitoring system at a much larger spatial scale at an affordable cost. A smart sensor network for catchment management is proposed based on the use of the Kingspan sensor.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Catchment Management; Flood Risk Management; Smart Sensing; Remote Sensing
Subjects:Physical Sciences > Detectors
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland under Innovation Partnership scheme with Kingspan Environmental division.
ID Code:21457
Deposited On:26 Oct 2016 13:42 by Dian Zhang . Last Modified 09 Oct 2019 13:42
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