• DocumentCode
    2918437
  • Title

    Experimental research on microbial remediation of oil-contaminated groundwater

  • Author

    Chen, Li ; Zhang, Fawang ; Wang, Bin ; Zhang, Lin

  • Author_Institution
    Inst. of Hydrogeology & Environ. Geol., Chinese Acad. of Geol. Sci., Shijiazhuang, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    748
  • Lastpage
    750
  • Abstract
    Use optimized indigenous microbial flora biotechnology to conduct repair experimental research on oil contaminated groundwater in loess area of north Shaanxi. The selected optimized flora include Pseudomonas, Micrococcus, Actinomayces, Penicillium, Aspergillus. During experiment process, add 1.5%´s optimized flora preparation into the polluted waters with oil content of 182.0mg/862.5mg/1 and 1695.0 mg/1. After some days remediation experiments, the maximum cumulative removal rates of oil pollutants in the three concentrations are 53.46% (28d), 70.87% (37d) and 58.19% (37d); temperature is one of the remediation affecting factors and 30°C is the best flora growth temperature, with the most significant remediation effect on oil-contaminated groundwater, concentration is another important factor influencing oil pollutants, in sterile contrast experiment, the removal rate of oil pollutants is within 5%, indicating slow groundwater oil degradation speed in natural conditions.
  • Keywords
    biotechnology; groundwater; microorganisms; oil pollution; pollution control; water pollution; Actinomayces; Aspergillus; Micrococcus; Penicillium; Pseudomonas; flora growth temperature; loess area; maximum cumulative removal rates; microbial flora biotechnology; microbial remediation; north Shaanxi; oil degradation speed; oil pollutants; oil-contaminated groundwater; optimized flora preparation; polluted waters; concentration; contaminated groundwater; microbial remediation; oil; temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.230
  • Filename
    5747924