06.29.26 -- New Technique Filters PFAS Using 'Molecular Velcro'

Recently, cyanobacteria and cyanotoxins have become a high profile drinking water quality concern. The combination of weather conditions, agricultural phosphate runoff, and other factors has produced water conditions that have favored the formation of cyanobacteria in surface water supplies.

Filtrasorb 400’s agglomerated pore structure and high volumetric capacity deliver unmatched PFAS removal, longer run times, and lower lifecycle costs — outperforming direct-activated carbons in real-world and lab testing.

Utilities need to revisit mistakes of the past and ask tough questions about what it truly means to treat and remove PFAS.

What began as a mandate to reduce water loss has grown into a model of smart water management for the Eastern Band of the Cherokee Indians (EBCI). Since deploying Kamstrup’s ultrasonic meters in 2016, the utility has transitioned from crisis response to innovation leadership — proving that even the most rugged terrain can support advanced metering infrastructure (AMI).

By utilizing advanced technologies to monitor water lines, utilities can detect leaks in an efficient and cost-effective manner.

In this case study, read about how using OpenFlows StormCAD saved $10,000 and avoided a potential six-month construction delay.

A municipal wastewater plant in North America sought a reliable flow measurement for one of their key wastewater lines. The existing dual-channel ultrasonic flowmeter from a competitor had consistently failed to provide accurate readings.

Advanced analytics, machine learning, and AI are increasingly common topics in wastewater management. Plant managers hear about predictive maintenance, automated optimization, and forecasting tools that can alert operators before a process upset occurs. Some facilities are already testing these ideas, while others want to but feel held back because their data isn’t ready.

Successful wastewater infrastructure requires aligning engineering decisions with long-term capital improvement cycles. By prioritizing phased adaptability and modular design, utilities can manage staged funding effectively while ensuring systems remain scalable for future regulatory and growth demands.

At its core, AI refers to the capability of a machine to mimic human intelligence. Read this article to better understand the difference between AI and Artificially Intelligent systems.

Single-future design assumptions are no longer sufficient. See what scenario modelling reveals about building treatment infrastructure that performs across decades of uncertainty.

While AMI’s benefits are widely recognized, implementation remains a major challenge for many utilities. This article offers practical insights into navigating the complex path to AMI deployment.