Skip to content
MarketScale
‹ Back to IndustriesHealthcare

How Blended Water Supplies Impact Water Treatment

Where does my water come from? The source(s) of water supplied to cooling towers, boilers, and processes may vary greatly daily or even hourly. The impact this has on water systems must be closely monitored to avoid scale, deposits, corrosion, inefficient water usage, and other negative impacts on operational costs. The New York City water…

This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.

Share

Where does my water come from?

The source(s) of water supplied to cooling towers, boilers, and processes may vary greatly daily or even hourly. The impact this has on water systems must be closely monitored to avoid scale, deposits, corrosion, inefficient water usage, and other negative impacts on operational costs.

The New York City water supply is a good example, providing over 1.2 billion gallons/day of domestic water to more than 8 million NYC residents, 1 million users from 4 upstate counties, and the city’s many visitors. The water system is made up of aqueducts, distribution pipes, reservoirs, and water tunnels offering a total system storage capacity of close to 550 billion gallons. There are three separate systems that bring water from upstate to the city to fit this need; the Croton, to the east of the Hudson River, and the Catskill and Delaware on the west.

What is in my water?

Since the opening of the Croton Water Filtration facility in May of 2015 water treatment professionals across the five boroughs have faced issues with a blended water supply. The neighborhoods of New York City often receive a combination of all three water supplies, the Croton, Catskill, and Delaware. Operational decisions about the City’s water supply, including the proportion of water from each of the systems, are often made on an hourly basis, creating a constantly changing chemistry of a building’s incoming water.

There is currently no formal notification system in place as to when a change in water supply might occur or what the blend could consist of. When Croton water is introduced to the system there could be areas within the same borough that are 100% Croton water or 100% Catskill/Delaware water, and others that are blended at varying percentages. Conductivity measurements are relied upon to gain an understanding of what water source you’re dealing with at each location throughout the city.

In general, the conductivity of the Catskill/Delaware supply is in the 90-100 µmho range while the conductivity of the Croton water is consistently in the 350-500 µmho range. For many facilities, when the make-up water has a conductivity greater than 100, it is assumed some level of blending is taking place. The chart below details some key differences in the inorganic chemistry of the water supplies:

How does this affect my water treatment?

From a water treatment perspective, fluctuating supply/makeup water sources present significant issues for system control. To understand this concept, it’s important to understand cycles of concentration (COC). Cooling tower cycles are typically controlled by the conductivity of the water in the system. When the conductivity reaches a predetermined set point, the controller bleeds water from the system and replaces it with fresh makeup water. The makeup water has a lower concentration of salts and dilutes the system water. With consistent makeup water, this control method is simple and quite effective because water treatment professionals can predict the levels of dissolved solids in the system water (important for inhibitor choice), determine hold times (the length of time the water stays in the system), and estimate water use.

Cooling tower treatment, for example, commonly bases the cycles of concentration calculation upon conductivity readings. The incoming city water conductivity is multiplied by the targeted number of cycles to use as the conductivity set point. Over-cycling could lead to issues with scale deposition when the concentration of dissolved solids gets above the saturation point. Under-cycling can lead to unnecessary water use, lower operational efficiency, and depending on control method, inaccurate inhibitor residuals. A constantly changing water supply makes it almost impossible to consistently maintain the targeted cycles for a specific system. This is particularly true when there is no way of knowing what type of water you could be receiving at a facility at any given time. Changing the chemistry of the makeup water also changes the target cycles. A varying water supply requires consistent on-site testing of the makeup water and an experienced water treatment professional to effectively manage the fluctuating conditions.

Chem-Aqua has the perfect blend of expertise and experience to manage your changing water demands. Contact a local representative today to review your water treatment program.

Healthcare: are you visible to AI?

Before they reach out, Healthcare buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Healthcare expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's Healthcare expertise into the articles, video, and social content B2B marketing buyers in your industry are searching for. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Healthcare Insights

NIH is harmonizing 12 petabytes of biomedical data to power the next wave of health AI

NIH is harmonizing 12 petabytes of biomedical data to power the next wave of health AI

The NIH is undertaking a cross-agency initiative to standardize 70 years of biomedical data, totaling 12 petabytes, to enhance health AI capabilities. This effort aims to establish a robust foundation for enterprise health IT leaders to deploy AI technologies effectively. By harmonizing this vast amount of data, the NIH is paving the way for significant advancements in health AI research and applications.

  • 01The NIH is standardizing 12 petabytes of biomedical data to advance health AI.
  • 02This initiative aims to create a robust foundation for AI deployment in healthcare.
  • 03Harmonizing historical biomedical data is critical for future health AI research.

Jul 24, 2026

ONC marks universal EHR adoption and one billion TEFCA health records exchanged in inaugural Coordinator's Quarterly

ONC marks universal EHR adoption and one billion TEFCA health records exchanged in inaugural Coordinator's Quarterly

The Office of the National Coordinator for Health Information Technology (ONC) has announced universal adoption of Electronic Health Records (EHR) across U.S. healthcare. Additionally, the Trusted Exchange Framework and Common Agreement (TEFCA) has facilitated the exchange of one billion health records. These milestones emphasize the significant progress in digital health record interoperability in the United States.

  • 01Universal adoption of Electronic Health Records (EHR) has been achieved across the U.S. healthcare system.
  • 02TEFCA has successfully facilitated the exchange of one billion health records.
  • 03These developments mark significant progress in the interoperability of digital health records.

Jul 23, 2026

OpenEvidence expands clinical AI across NewYork-Presbyterian, Columbia, and Weill Cornell as Linux Foundation targets open-source health stack

OpenEvidence expands clinical AI across NewYork-Presbyterian, Columbia, and Weill Cornell as Linux Foundation targets open-source health stack

OpenEvidence is expanding its clinical AI technologies across major New York healthcare institutions including NewYork-Presbyterian, Columbia, and Weill Cornell. Concurrently, the Linux Foundation is establishing efforts to create an open-source health technology stack. Delaware is expanding its Health Information Exchange (HIE) access.

  • 01OpenEvidence expands clinical AI deployment in prominent New York-based healthcare facilities.
  • 02The Linux Foundation is developing an open-source stack for healthcare technology.
  • 03Delaware is enhancing access to its Health Information Exchange (HIE).

Jul 22, 2026

Explore More Healthcare Insights

Read more expert perspectives from across Healthcare.

Browse Healthcare Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Healthcare and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512