Model-based evaluation of simultaneous nitrification and denitrification in aerobic granular sludge systems

Insel G., YILMAZ G., Hazi F., Artan N.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, cilt.30, sa.60, ss.124780-124789, 2023 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 60
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11356-023-25252-w
  • Dergi Adı: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.124780-124789
  • Anahtar Kelimeler: Modeling, Aerobic granular sludge, Enhanced biological phosphorus removal, Simultaneous nitrification and denitrification, BIOLOGICAL NUTRIENT REMOVAL, PHOSPHORUS REMOVAL, ACTIVATED-SLUDGE, NITROGEN REMOVAL, SELECTION, SBR, PERFORMANCE
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

A lab-scale granular sludge sequencing batch reactor (G-SBR) system was operated using synthetic wastewater. The total nitrogen removal efficiency of 85% was obtained together with the achievement of complete total phosphorus removal with average granule diameter of 400 mu m. Dual-step nitrification and denitrification model with fixed biofilm thickness was used for performance analysis. The denitrification mode only contributed to TN removal with 25% which can be calculated with process stoichiometry. The remaining nitrogen removal could be explained by simulating simultaneous nitrification and denitrification which was responsible for 75% denitrification during aerobic period. In addition, low NO3- concentration at the beginning of the fill period provided advantage for securing a prolonged anaerobic period for enhanced biological phosphorus removal (EBPR). The model parameters of boundary layer thickness (z(BL) = 50 mu m) and half-saturation of O-2 for nitrite-oxidizing bacteria (K-O2,K-NOB = 0.5 gO(2)/m(3)) were tuned to fit NO2 and NO3 profiles in SBR cycle.