Exploring the effects of microalgal biomass on the oil behavior in a sand-water system.

Azar Vahabisani, Chunjiang An, Xiaying Xin, Edward Owens, Kenneth Lee
Author Information
  1. Azar Vahabisani: Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada.
  2. Chunjiang An: Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada. chunjiang.an@concordia.ca. ORCID
  3. Xiaying Xin: Department of Civil Engineering, Memorial University of Newfoundland, St. John's, NL, A1C 5S7, Canada.
  4. Edward Owens: Owens Coastal Consultants, Bainbridge Island, WA, 98110, USA.
  5. Kenneth Lee: Fisheries and Oceans Canada, Ecosystem Science, Ottawa, ON, K1A 0E6, Canada.

Abstract

This study focused on the impact of microalgal biomass on the oil behavior in a sand-water system. The microalgal biomass was characterized, and the interaction between microalgal biomass and oil was analyzed through Fourier transform infrared (FTIR) spectroscopy. The effects of different conditions including microalgal biomass dose, pH, temperature, and salinity on the oil behavior were investigated. A two-level factorial analysis was also used to further explore the interactions of these conditions. The microalgal biomass was found to be the most influential parameter for the residual crude oil on sand. Higher microalgal biomass dose resulted in less residual oil on sand. The remaining oil decreased with increasing solution pH from 4 to 7, and an increase of remaining oil was observed when the pH was further increased above 7. In addition, temperature and salinity could affect the removal of crude oil in the presence of microalgal biomass. Increasing the temperature could result in less residual oil on sand and there was higher oil removal at the high salinity. The effects of microalgal biomass on the oil behavior could also be impacted by environmental conditions. The results of this study indicate that the presence of algae in the oiled shoreline can be considered in the comprehensive evaluation of spill risk and prediction of oil fate.

Keywords

References

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Grants

  1. RGPIN-2016-05978/Natural Sciences and Engineering Research Council of Canada
  2. MPRI 2.01/Fisheries and Oceans Canada

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