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.
"synopsis" may belong to another edition of this title.
Juan Carlos Chacon-Hurtado is a Civil Engineer from the Pontificia Universidad Javeriana Cali, with an MSc Water Science and Engineering with specialisation in Hydroinformatics from UNESCO-IHE, and with various academic and professional interests related to the use of advanced ITC tools to address water-related problems (hydroinformatics). Juan Carlos has experience in areas of hydrological modelling, optimisation, uncertainty analysis, data assimilation, water loss control and scientific programming. Juan Carlos is currently a Postdoc researcher in multi-criteria decision analysis applied to sewer asset management at the Delft University of Technology, The Netherlands.
"About this title" may belong to another edition of this title.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 37560367
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 37560367-n
Seller: Books Puddle, Woodside, NY, U.S.A.
Condition: New. Seller Inventory # 26376460512
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Seller Inventory # 369617727
Quantity: 3 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition. Seller Inventory # 37560367
Quantity: 10 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18376460522
Quantity: 4 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 37560367-n
Quantity: 10 available
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Juan Carlos Chacon-Hurtado is a Civil Engineer from the Pontificia Universidad Javeriana Cali, with an MSc Water Science and Engineering with specialisation in Hydroinformatics from UNESCO-IHE, and with various academic and professional interests related. Seller Inventory # 594580509
Quantity: Over 20 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware. Seller Inventory # 9780367417062
Quantity: 2 available
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA75803674170655
Quantity: 1 available