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We’re living at a time when technology is rapidly changing the world and that presents opportunities – and challenges — for how we manage our water resources. From artificial intelligence to cybersecurity, our toolkit expands every day with new solutions and best practices — and as ���سԹϺ���һ����������’ Global Water Director, I’m continually assessing how these innovations will change our industry.

As I’ve recently written in the latest issue of our digital magazine , at ���سԹϺ���һ���������� we embrace an integrated and collaborative approach to water management. Our OneWater philosophy recognizes that all water has value, that the challenges we face are complex and interconnected, and that the solutions we bring forward must be inclusive, sustainable and equitable.

As we now support more and more of our clients with the digital transformation of their water, wastewater and stormwater systems, we’re complementing our integrated approach to water management with innovative data-enabled solutions. We call this Digital OneWater.

An integrated ecosystem

My vision for Digital OneWater is a future where we manage water using an integrated ecosystem of data-enabled solutions. We take a holistic view of the challenges before us and apply domain-driven digital tools to transform and optimize our assets and operations.

This is quite a hefty statement, so let’s unpack it.

Firstly, we should lay out some key components of OneWater management:

• Know everything you can about your system, including where it is located, how it operates, its condition and how it interacts with the systems around it.
• Establish how the system will change in the future, with climate change as the key accelerator:
  • Flooding and water scarcity
  • Population growth and urbanization
  • Aging infrastructure and aging workforce
  • Recent and emerging regulations 
  • Water/energy/food nexus

In each of these areas, data-enabled solutions offer significant advantages. By using GIS, hydraulic models and Digital Twins, we can understand everything about our systems in their existing condition, and then apply sophisticated simulations and predictive tools to optimize those assets today and for the future.

For instance, we can use machine learning to optimize the chemical usage at our treatment plants, predict the water quality impacts from forest fires, or optimize our wet and dry weather operations to reduce combined sewer overflows into our waterways.

Take the example of the Digital Twin we’ve developed for Singapore PUB’s Changi WRP using our Replica platform. We’re integrating process, hydraulics, controls and advanced data analytics into a single, whole plant simulation capable of replicating plant operations and predicting future performance in real-time. I was recently at the World Water Congress in Copenhagen, Denmark, where the International Water Association .