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Author Bollen, E.; Pagan, B.R.; Kuijpers, B.; Van Hoey, S.; Desmet, N.; Hendrix, R.; Dams, J.; Seuntjens, P. url  doi
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  Title A database system for querying of river networks : facilitating monitoring and prediction applications Type A1 Journal article
  Year (down) 2021 Publication Water Science And Technology-Water Supply Abbreviated Journal Water Sci Tech-W Sup  
  Volume Issue Pages  
  Keywords A1 Journal article; Sustainable Energy, Air and Water Technology (DuEL)  
  Abstract The increasing availability of real-time in situ measurements and remote sensing observations have the potential to contribute to the optimization of water resources management. Global challenges such as climate change, intensive agriculture and urbanization put a high pressure on our water resources. Due to recent innovations in measuring both water quantity and quality, river systems can now be monitored in real time at an unprecedented spatial and temporal scale. To interpret the sensor measurements and remote sensing observations additional data for example on: the location of the measurement, upstream and downstream catchment characteristics, horizontal ellipsis are required. In this paper, we present a data management system to support flow-path related functionality for decision making and prediction modelling. Adding meta data sets and facilitating (near) real-time processing of sensor data questions are key concepts for the systems. The potential of the database framework for hydrological applications is demonstrated using different applications for the river system of Flanders. In one, the database framework is used to simulate the daily discharge for each segment within a catchment using a simple data-driven approach. The presented system is useful for numerous applications including pollution tracking, alerting and inter-sensor validation in river systems, or related networks.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000729755100001 Publication Date 2021-12-14  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1606-9749 ISBN Additional Links UA library record; WoS full record  
  Impact Factor 0.573 Times cited Open Access OpenAccess  
  Notes Approved Most recent IF: 0.573  
  Call Number UA @ admin @ c:irua:184814 Serial 7387  
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