AIMS & SCOPE

BIG DATA IN WATER RESOURCES ENGINEERING (BDWRE)

Aims & Scope

At a very basic level, Big Data just means we have a lot of data. Water utilities see data from supervisory control and data acquisition (SCADA) systems, including flow statistics, online monitoring, dissolved oxygen (DO) measurements, and air flows, as well as data from laboratory information management systems (LIMS) and computerized maintenance management systems (CMMS), to name several examples. Such data is beneficial, and much of it has been around for years. Unfortunately, the way data is gathered at treatment facilities is often fragmented. There are silos of data in computer systems that don’t always talk to each other. The Internet Age has ushered in the ability to funnel disparate data into a single, meaningful pool of information that allows water and wastewater treatment plant operators to understand, manage, and use it to optimize plant reliability and performance. Big Data initiatives and new data management tools enable us to turn all that data into understandable, useful information that helps us become more proactive and make better decisions about plant operations.

Topics include but not limited to;

 Information & Communication Technology
  Smart Water Grid
 Smart Water Management
  Water Engineering Resources
  Big data
  Integration
  Real-time Data Management
  Water Distribution System

  Integration
  Real-time Data Management
  Water Distribution System
  Intelligent Water Systems IWS
  Water Sustainability
  Cloud GIS Platform
 Operational Intelligence
  Artificial Neural Network

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