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Design Model Parameter Analysis for Nitrifying Trickling Filters.

Erik R Coats1

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Nitrifying trickling filters (NTFs) improve wastewater treatment by enhancing ammonia removal. This study provides crucial data to refine NTF design and modeling for better water resource recovery facility compliance.

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Area of Science:

  • Environmental Engineering
  • Wastewater Treatment Technologies
  • Bioreactor Design

Background:

  • Nitrifying trickling filters (NTFs) are vital for ammonia-N removal in water resource recovery facilities (WRRFs).
  • Current NTF design methods and parameter databases are insufficient for optimal performance.
  • Pilot-scale data analysis is needed to improve NTF engineering guidance.

Purpose of the Study:

  • To analyze pilot-scale NTF data for enhanced design guidance.
  • To establish correlations between nitrification rates, influent characteristics, and NTF media properties.
  • To improve the engineer's ability to model and design NTFs.

Main Methods:

  • Analysis of pilot-scale nitrifying trickling filter data.
  • Determination of maximum specific nitrification rates (r n(max,0)) and transition concentrations.
  • Investigation of nitrification kinetics (zero-order and first-order).
  • Establishment of a relationship between NTF media effectiveness (E) and r n(max,0).

Main Results:

  • Maximum specific nitrification rates (r n(max,0)) ranged from 1.19-3.38 gN m -2*d -1, correlating with influent ammonia-N concentration and loading.
  • Transition concentrations ranged from 0.9-22.2 mgN/L, correlating with ammonia-N loading.
  • Zero-order nitrification was observed (0.24-1.58 gN m -2*d -1); first-order nitrification was not observed.
  • A relationship was established between NTF media effectiveness (E) and r n(max,0) for broader applicability.

Conclusions:

  • The study provides enhanced design guidance for NTFs based on pilot-scale data.
  • Established correlations improve the prediction of nitrification rates and performance.
  • The developed relationship allows for the translation of findings to different NTF media, aiding in more accurate modeling and design.