WASTEWATER MANAGEMENT RESOURCES

• How Advanced Process Controls Empower Operators, Enhance Effluent Quality, Save Energy, And Reduce Emissions At WWTPs

  Technology like advanced process control systems can streamline operations, create opportunities to lower costs and emissions, and ensure effluent quality meets the highest standards. Research also indicates that implementing an appropriate control strategy can help reduce N2O emissions.

• The Hidden Costs Of Legacy Operational Technology

  Water and wastewater utilities can get stuck in a cycle of upgrading their legacy operational technology systems. Here’s how to break that cycle.

• From Data To Decisions: AI's New Role In Water Management

  Engineers are turning to AI to cut weeks of work into hours and sharpen critical decisions.
• How To Strengthen Your Flow Monitoring Strategy … Before The Next Overflow

  Strategic flow monitoring helps wastewater utilities curb overflows, cut costs, and safeguard public health by turning accurate data into proactive action.

• Advancing Digital Solutions From Pilots To Practice In The Water Sector

  Across the water sector, the same question echoes through utilities and organizations: "We've completed a successful pilot, but now what?" While digital experimentation has become commonplace, the journey from pilot to practice remains challenging.

• How Submersible And Non-Clog Pump Designs Are Reshaping Municipal Sewage Systems

  As technology improves and becomes more accessible, outdated municipal wastewater systems are fast beginning to show their age. Today, water pumps come in a variety of designs that enable uses that previous generations could only have dreamed of.

• How AI Can Improve Storm Surge Forecasts To Help Save Lives

  Accurate storm surge predictions are critical for giving coastal residents time to evacuate and giving emergency responders time to prepare. But storm surge forecasts at high resolution can be slow.
• AI In The Water Sector: Navigating Innovation Responsibly

  The water sector, facing escalating demands and aging infrastructure, cannot afford to be left behind in the adoption of artificial intelligence (AI). Embracing AI is not just about efficiency; it's about ensuring future resilience and continued service delivery in a world increasingly reliant on intelligent systems.

• How Hyper-Detailed Modeling Is Strengthening Worker Safety And Water Infrastructure Resilience

  Water utilities are under mounting pressure to modernize aging infrastructure while keeping budgets under control, forcing owners and contractors to deliver reliable projects with leaner teams, tighter windows, and greater scrutiny. Hyper-detailed modeling is emerging as a critical solution for these challenges.
• How AI Can Solve The "Silver Tsunami" And Support Small Water Utilities

  While far from prolific, applications of artificial intelligence (AI) in the water and wastewater industry are nothing new. AI and machine learning have been used for data analytics for years. However, for small utilities and those with an aging workforce, these tools seem too high tech and costly to be practical. This doesn’t have to be the case, though. AI tools — particularly generative AI (Gen AI) and large language models (LLMs) — are able to address critical workforce shortages and resource constraints within the water and wastewater industry.