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Nitrogen Removal Characteristics of Aerobic Denitrifying Bacteria and Their Applications in Nitrogen Oxides Emission Mitigation

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  • © 2019

Overview

  • Nominated by Peking University as an outstanding Ph.D. thesis
  • Screens two efficient aerobic denitrifying bacterial strains with negligible NO and N2O emissions
  • Describes successful bioaugmentation application of strain P. stutzeri PCN-1 in enhancing nitrogen removal performance and reducing N2O emission from activated sludge systems
  • Establishes a biotrickling filter system with immobilized strain P. aeruginosa PCN-2 achieving NO removal efficiency of 91.94-96.74% from flue gas under aerobic conditions

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (6 chapters)

Keywords

About this book

This book systematically investigates the nitrogen removal characteristics of two screened aerobic denitrifying bacteria and their applications in nitrogen oxides emissions reduction. It reveals that Pseudomonas stutzeri PCN-1 possesses excellent capacity for aerobic nitrogen removal, regardless of whether nitrate, nitrite or N2O were taken as denitrification substrates. It also demonstrates that the rapid N2O reduction is due to the coordinate expression of denitrification genes. Further, the book discusses the bioaugmentation experiments conducted in denitrifying SBR and a pilot-scale Carrousel oxidation ditch, which confirmed that the strain could significantly enhance denitrification performance, reduce N2O emission and improve system stability. The second strain, P.aeruginosa PCN-2 accumulated negligible NO during aerobic nitrate and nitrite removal and efficiently removed NO from flue gas. This study is of great significance for potentialapplications of aerobic denitrification in mitigating nitrogen oxides emissions from biological nitrogen removal systems.

Authors and Affiliations

  • College of Environmental Science and Engineering, MOE Key Laboratory of Resources and Environmental Systems Optimization, North China Electric Power University, Beijing, China

    Maosheng Zheng

About the author



Research Area: Biological nitrogen removal technologies; Environmental microbiology.
Honors: Beijing Outstanding Graduate (2015); Peking University Outstanding Graduate (2015); Peking University Excellent Doctoral Dissertation (2015); Peking University Academic Innovation Award (2015); Peking University Professional Scholarship (2015); Institute of Environmental Engineering Academic Paper Award (2015); Gold Medal in 41th Geneva International Exhibition of Inventions (2013).



Publications:
(1) Zheng M., He D., Ma T., et al., 2014. Reducing NO and N2O emission during aerobic denitrification by newly isolated Pseudomonas stutzeri PCN-1. Bioresource Technology 162, 80-88.
(2) Zheng M., Tian Y., Liu T., et al., 2015. Minimization of nitrous oxide emission in a pilot-scale oxidation ditch: generation, spatial variation and microbial interpretation. Bioresource Technology 179, 510-517.
(3) Zheng M.S., Ma L.K., Li T.H., et al., 2015. Rapid Assessment Method for Eco-water Deficit in Catchments. Journal of Environmental Informatics. (In Press)
(4) Zheng M., Li C., Liu S., et al., 2016. Potential application of aerobic denitrifying bacterium Pseudomonas aeruginosa PCN-2 in nitrogen oxides (NOx) removal from flue gas. Journal of Hazardous Materials. (Under Review)
(5) Zhu S.1, Zheng M.1, Li C., et a., 2015. Special role of corn flour as an ideal carbon source for aerobic denitrification with minimized nitrous oxide emission. Bioresource Technology 186, 44-51.
(6) He D., Zheng M., Ma T., et al., 2015. Interaction of aerobic Cr (VI) reduction and denitrification by strain Pseudomonas aeruginosa PCN-2. Bioresource Technology 185, 346-352.
(7) He D., Zheng M., Ma T., et al., 2015. Nitrite interference and elimination in diphenylcarbazide (DPCI) spectrophotometric determination of hexavalentchromium. Water Science and Technology 203, 223-229.
(8) Liu T., Liu S. Zheng M., et al., 2016. Performance assessment of full-Scale wastewater treatment plants based on seasonal variability of microbial communities via high-throughput sequencing. Plos One 11, e0152998.

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