Effect of heat fluxes on ammonia emission from swine waste lagoon based on neural network analyses

N. Lovanh, A. Quintanar, M. Rysz, J. Loughrin, R. Mahmood

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding factors that affect ammonia emissions from swine waste lagoons or any animal waste receptacles is a necessary first step in deploying potential remediation options. In this study, we examined the various meteorological factors (i.e., air temperatures, solar radiation and heat fluxes) that potentially affect ammonia emissions from swine waste lagoon. Ammonia concentrations were monitored using a photoacoustic gas analyzer. The ammonia emissions from the lagoon were monitored continuously for a 24 h cycle, twice a week during a winter month at a height of 50 cm above the lagoon surface. Meteorological data were also monitored simultaneously. Heat fluxes were tabulated and correlated to the averaged ammonia concentrations (range of zero to 8.0 ppmv). Multi-layer Perceptron (MLP) neural network predictive model was built based on the most important meteorological parameters. The results from MLP neural networks analysis show that ammonia emissions from the swine waste lagoon were affected by heat fluxes such as net solar radiation, sensible heat and latent heat of vaporization. Thus it is important to consider environmental conditions (i.e., meteorological parameters such as solar radiation, latent heat and etc.) in formulating management or abatement strategies for reducing ammonia emissions from swine waste lagoons or any other air pollutant emissions from livestock waste receptacles.

Original languageEnglish (US)
Pages (from-to)16-29
Number of pages14
JournalJournal of Environmental Science and Technology
Volume7
Issue number1
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Ammonia
  • Artificial neural network
  • Emission
  • Heat fluxes
  • Swine waste lagoon

ASJC Scopus subject areas

  • Environmental Science(all)

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