Usage
  • 35 views
  • 81 downloads

Quantification of Fugitive Emissions from a Biosolids Lagoon

  • Author / Creator
    Zhang, Longdong
  • Fugitive emissions of methane (CH4) and carbon dioxide (CO2) from a lagoon containing biosolids were continuously measured using an eddy covariance system for three months. Open Path Fourier Transform Infrared Spectrometry (OP-FTIR) was also used to quantify concentrations of methane and ammonia (NH3) at several locations along the lagoon edges for four days. Both eddy covariance and inverse dispersion (using a backward Lagrangian stochastic model–WindTrax) techniques were used to quantify fugitive emission fluxes of methane, carbon dioxide and/or ammonia. For the data obtained by the eddy covariance system, the relationships between concentrations/emission fluxes and temperature, wind speed, and wind direction were studied and certain trends were identified. While the predominant wind direction was not ideal for the sonic anemometer measurements, emission fluxes for methane simulated using inverse dispersion and eddy covariance techniques were consistent with each other for the same time periods.

  • Subjects / Keywords
  • Graduation date
    2014-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3HT2GJ7W
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Civil and Environmental Engineering
  • Specialization
    • Environmental Engineering
  • Supervisor / co-supervisor and their department(s)
    • Hashisho, Zaher (Civil and Environmental Engineering)
  • Examining committee members and their departments
    • Wilson, John (Department of Earth and Atmospheric Sciences)
    • Hashisho, Zaher (Department of Civil and Environmental Engineering)
    • Liu, Yang (Department of Civil and Environmental Engineering)