Wastewater Management

  1. When To Consider An Alternative To Thermal Dispersion Meters

    Maintaining a firm grip on blower output within digesters at wastewater treatment plants is the key to stable dissolved oxygen levels that support an optimal biological cycle. However, the most common type of device used to measure aeration in the activated sludge process — thermal dispersion flow meters — is not always the best fit. The good news is that wastewater plant operators have multiple alternatives.

  2. Wastewater Treatment Double-Play Game Winner

    While aeration and digester wastewater treatment systems are fundamentally different, they share common challenges when it comes to accurate air/gas flow measurement. Flow meters need to operate over a wide flow range, fluctuating from very high to low rates. The fluid media can be benign, moist, dirty or corrosive and combustible under the right conditions.

  3. Getting A Handle On Sewer Overflows

    Wet weather events are a growing concern for wastewater treatment plant operators, but a new twist on cloth media filtration may provide the answer to their peak flow management problems.

  4. Proactive Wastewater Management Through Real-Time Control (RTC)

    Good wastewater treatment operators understand the process conditions that challenge efficient performance. Retaining those knowledgeable individuals or training qualified replacements, however, can be equally challenging. Plant automation made practical by on-line analytical capabilities and real-time control (RTC) helps wastewater treatment operators at every skill level be more effective at proactive management of process efficiency.

  5. Organic And Nutrient Monitoring For Industrial Process Optimization

    Beyond community drinking water treatment and wastewater treatment plants dealing with effluent regulatory requirements, many industries also need to concern themselves with organics and/or nutrient monitoring in source water, process flows, or effluent. Here are several ideas for how choosing the right analyzer technology can help optimize both the performance and costs of industrial processes.

  6. Industrial Process Optimization Through Process Water Integrity

    There are many facets to industrial processes — raw materials, skilled labor, well-designed equipment, and sound methodologies. Optimizing those manufacturing processes requires consistent, reliable feedback on performance efficiency and output quality. Here are several guidelines for implementing continuous monitoring to keep process integrity at optimum levels.

  7. Knowledge Retention: Stay Up To Date As Workers Come And Go

    Understaffing, upcoming retirements, and finding qualified replacements seem to be recurring themes in the water industry. Perhaps the answers are as much about the tools we use as the people using them. Here is how a new approach to utility data management can capture the knowledge of retiring workers, share the insight across all disciplines, and shore up the skills and interests of the next generation.

  8. Grab Sampling vs. Continuous Monitoring: Put The Odds In Your Favor

    With relatively predictable flow patterns, municipal wastewater treatment plants (WWTPs) are conditioned to respond to the ebb and flow of demands with a series of small tweaks. While industrial wastewater processing does not always enjoy the same advantage of predictability, continuous monitoring of processes and wastewater output does offer opportunities for more responsive, more precise control.

  9. Better Asset Maintenance Through Better Data Management

    The more a water utility knows about its current operations, the better equipped it can be to make more informed decisions about upcoming maintenance and capital replacement programs. Here are several key approaches to identifying cost-effective ways to make merging historical asset data and current operational data as the next step toward building a stronger, more resilient utility.

  10. Maximizing The ROI On Your SCADA Investment

    In many water industry applications, a supervisory control and data acquisition (SCADA) system is considered the heartbeat of the operation. As a result, many data management decisions revolve around what the SCADA system can or cannot do and how big of a deal and expense it is to change. Can’t there be a way to devise more ROI-responsive data solutions, without having to change SCADA solutions?