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Modeling the Operating Performance of a Drinking Water Biological Aerated Filter and the Formation of Organic Nitrogen.
Kang, Jia; Song, Chu-Qiong; Zhou, Ning; Zhang, Yao-Wen; Liu, Shu-Li; Song, Gang-Fu; Zhou, Wa-Ni.
Affiliation
  • Kang J; School of Environmental and Municipal Engineering, Ural Institute, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
  • Song CQ; Zhong Zhou Water Holding Co., Ltd, Zhengzhou, 450046, China.
  • Zhou N; School of Environmental and Municipal Engineering, Ural Institute, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
  • Zhang YW; School of Environmental and Municipal Engineering, Ural Institute, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
  • Liu SL; School of Environmental and Municipal Engineering, Ural Institute, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
  • Song GF; School of Environmental and Municipal Engineering, Ural Institute, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
  • Zhou WN; Zhong Zhou Water Holding Co., Ltd, Zhengzhou, 450046, China.
Environ Sci Pollut Res Int ; 30(21): 59579-59595, 2023 May.
Article in En | MEDLINE | ID: mdl-37010682
In this study, simultaneous storage and growth mechanism, as well as the formation processes of organic nitrogen (ON), were both introduced into activated sludge model 3 (ASM3), and ASM3-ON was formed to predict the operation of biofilm treatment processes and the formation of dissolved organic nitrogen (DON). ASM3-ON was applied to a lab-scale biological aerated filter (BAF) for water supply. During the simulation, the sensitivities of chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), nitrate nitrogen (NOx--N), and DON to the stoichiometric and kinetic coefficients in the model were analyzed first by the Sobol method. Then, the model prediction results were compared with experimental values to calibrate ASM3-ON. In the validation process, ASM3-ON was applied to predict the variations of COD, NH4+-N, NO2--N, and NO3--N in BAF under different aeration ratios (0, 0.5:1, 2:1, and 10:1) and different filtration velocities (0.5, 2, and 4 m/h). The comparison with the experimental results showed that ASM3-ON could accurately predict the variation characteristics of COD, NH4+-N, NOx--N, and DON in BAF. This study provided a practical model approach to optimize the operating performance of BAF and reduce the formation of ON through nonexperimental methods.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drinking Water Type of study: Prognostic_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drinking Water Type of study: Prognostic_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: Germany