Big Data/Data Analytics in Urban Sewershed Sensor Networks

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This is a joint webcast with The Water Research Foundation.

With the recent emergence of low-cost, reliable water quality/quantity sensors and the exponential increases in computing power, the promise of real-time operation of collection systems and in-plant treatment operations to address these challenges is being realized. Utilities must comply with water quality control and overflow reduction requirements and sensor-based networks on a sewershed scale for real-time decision making and operation can optimize collection system performance, before investing in major, capitally intensive projects.  The traditional methods that utilities use for processing data will be a challenge. These new larger data streams will require big data analytic engines to process the data into actionable information, which can be integrated into visualization tools to allow end users to rapidly create knowledge that can be quickly acted upon. Our speakers will present the findings from two WRF projects address the state of the art of sensor network deployment in the water sector and big data/data analytics within and outside the sector.

The projects that will be discussed are:

  • Designing a Sensor Network In an Urban Sewershed (SENG6R16)
  • Leveraging Other Industries’ Big Data/Data Analytics (SENG7R16)


  • Raja Kadiyala, PhD, Jacobs
  • Ken Thompson, Jacobs
  • Walter Graf (moderator), Water Research Foundation

There will be 1.5 Professional Development Hours (PDHs) offered for this webcast. Please check with your state accreditation agency to determine if you qualify.