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A unit process log reduction database for water reuse practitioners.

Sam Arden1, Kyle McGaughy1, James Phillips1

  • 1Eastern Research Group, Inc. (ERG), Concord, MA, USA.

Water Research X
|May 20, 2024
PubMed
Summary
This summary is machine-generated.

This review compiles pathogen reduction data for water reuse systems. It provides a database of log reduction values (LRVs) and credits (LRCs) to aid in designing safer and more cost-effective treatment trains.

Keywords:
Human health protectionLog reduction creditLog reduction valueNon-potable reuse

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Area of Science:

  • Environmental Science
  • Public Health
  • Water Treatment Engineering

Background:

  • Pathogen reduction is crucial for water reuse safety, but understanding performance is hindered by dispersed literature.
  • Inconsistent knowledge of pathogen reduction can lead to under-treatment (health risks) or over-treatment (unnecessary costs).

Purpose of the Study:

  • To create a centralized database of pathogen reduction values (LRVs) and credits (LRCs) for unit processes in water reuse.
  • To support practitioners in designing, modeling, and understanding onsite non-potable water reuse systems.

Main Methods:

  • Compiled over 1100 LRV data entries for 31 unit processes.
  • Extracted log reduction credits (LRCs) for 8 unit processes.
  • Documented associated design and operational factors where available.

Main Results:

  • The database offers accessible LRV and LRC data for water reuse practitioners.
  • Inconsistent reporting of influencing parameters was noted as a limitation.
  • The resource aims to balance human health protection, environmental impact, and cost.

Conclusions:

  • A comprehensive database of pathogen reduction performance is now available for water reuse applications.
  • Improved data accessibility can lead to optimized water reuse treatment train design.
  • This work contributes to safer, more efficient, and cost-effective water reuse practices.