Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories

Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories
Author :
Publisher : CRC Press
Total Pages : 167
Release :
ISBN-10 : 9781000727586
ISBN-13 : 1000727580
Rating : 4/5 (580 Downloads)

Book Synopsis Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories by : Juan Carlos Chacon-Hurtado

Download or read book Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories written by Juan Carlos Chacon-Hurtado and published by CRC Press. This book was released on 2019-11-12 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precipitation drives the dynamics of flows and storages in water systems, making its monitoring essential for water management. Conventionally, precipitation is monitored using in-situ and remote sensors. In-situ sensors are arranged in networks, which are usually sparse, providing continuous observations for long periods at fixed points in space, and due to the high costs of such networks, they are often sub-optimal. To increase the efficiency of the monitoring networks, we explore the use of sensors that can relocate as rainfall events develop (dynamic sensors), as well as increasing the number of sensors involving volunteers (citizens). This research focusses on the development of an approach for merging heterogeneous observations in non-stationary precipitation fields, exploring the interactions between different definitions of optimality for the design of sensor networks, as well as development of algorithms for the optimal scheduling of dynamic sensors. This study was carried out in three different case studies, including Bacchiglione River (Italy), Don River (U.K.) and Brue Catchment (U.K.) The results of this study indicate that optimal use of dynamic sensors may be useful for monitoring precipitation to support water management and flow forecasting.


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