Name: Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories (Ihe Delft phd Thesis Series) (en Inglés)
Price: 253339.00 COP
Availability: InStock
Author: Juan Carlos Chacon-Hurtado
ISBN: 9780367417062

portada Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories (Ihe Delft phd Thesis Series) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Juan Carlos Chacon-Hurtado

Idioma

Inglés

N° páginas

188

Encuadernación

Tapa Blanda

ISBN13

9780367417062

N° edición

Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories (Ihe Delft phd Thesis Series) (en Inglés)

Juan Carlos Chacon-Hurtado (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in the Context of Citizen Observatories (Ihe Delft phd Thesis Series) (en Inglés)"

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.