• DocumentCode
    2878519
  • Title

    Experimental Study of LNAPL Contaminated Soil Surveys Using HDR and GPR Method

  • Author

    Qingsheng Meng ; Zhen Gao ; Yuqing Fan

  • Author_Institution
    Key Lab. of Marine Environ. & Ecology Minist. of Educ., Ocean Univ. of China, Qingdao, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Soil contamination is one of the important global environmental problems. Geophysical survey methods base on the physical properties differences of soil, such as electrical properties, magnetic, elasticity, and so on. When the LNAPL leak into the soil, it would cause local changes of the soil physical properties. So, in this paper, we used high density resistivity method and ground penetrating radar method, combined with the drilling verification, a field experiment was carried out to study the relation between geophysical anomalies with the distribution of contaminated soil. The result shows that the two methods have strong practicability in contamination detection. The high density resistivity method can describe the range of contaminated area, but it is great than the actual one, however, the ground penetrating radar method has obvious superiority in this respect. In order to promote the application of geophysical prospecting methods in environment contamination survey, this paper also discusses some limitations of these methods.
  • Keywords
    elasticity; geomagnetism; geophysical prospecting; ground penetrating radar; soil pollution; GPR method; HDR method; LNAPL contaminated soil survey; contaminated soil distribution; drilling process; elasticity; electrical properties; environment contamination survey; geophysical anomalies; geophysical prospecting methods; geophysical survey methods; global environmental problems; ground penetrating radar method; high density resistivity method; magnetic properties; soil physical properties; Conductivity; Contamination; Geophysics; Ground penetrating radar; Soil; Water pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260573
  • Filename
    6260573