Water Informatics: Introduction and case studies

IWA Smart Water Management, IOT, Machine Learning, Monitoring/Forecasting Usage Patterns, Chennai Water Problem

Target Audience

Researchers, academics, innovators, and policy makers who are interested in applying digital solutions to water conservation and management problems.

16:30 IST | 12:00 BST | 07:00 EDT


Climate change is bringing rising sea levels and increased flooding to some cities around the world and drought and water shortages to others.

Chennai, India’s sixth-largest city, gets an average of about 1,400 mm (55 inches) of rainfall a year. The cyclone-prone waters of the Bay of Bengal periodically surge into the city, forcing back the sewage-filled rivers to overflow into the streets. When rains fail, the city must rely on huge desalination plants and water piped in from hundreds of kilometres away because most of its rivers and lakes are too polluted.

In Chennai, as in many other cities, monitoring the consumption of water is vital to control water usage. At the same time, forecasting is essential for planning future water requirements. In this framework, smart technologies can play a useful role.

The purpose of the webinar is to familiarise the participants with the Sensors/Actuators, “Internet of Things” (IOT) and Machine Learning concepts for Smart Water Management. The research paper published with IWA Water Supply Journal titled ‘Monitoring and forecasting water consumption and detecting leakage using an IoTSystem’ will be discussed. Additionally, the webinar will present the application of SARIMA for Prediction of Water Storage Levels for a Metropolitan Area (the paper has been accepted and presented at 3rd IEEE-ISAECT2020, publication is still awaited) http://www.isaect.org/.

Learning Objectives

Following this session, participants will be able to:

  • Understand the significance of digital solutions to the Water Industry.
  • Correlate the solutions with their region-specific problems.
  • Generate new innovative solutions for problems using IoT and Machine Learning.


International Water Association