Analysis of resistivity data obtained from cone penetrometer in contaminated soil layers

被引:13
|
作者
Kim, Yong Sung [1 ]
Oh, Myoung Hak [2 ]
Park, Junboum [1 ]
机构
[1] Seoul Natl Univ, Dept Civil & Environm Engn, Seoul 151742, South Korea
[2] Korea Ocean Res & Dev Inst, Coastal Engn & Ocean Energy Res Dept, Ansan 425600, South Korea
来源
ENVIRONMENTAL GEOLOGY | 2009年 / 58卷 / 06期
关键词
Resistivity cone; Layered soils; Groundwater contamination; Heavy metals; NAPLs; ELECTRICAL-RESISTIVITY;
D O I
10.1007/s00254-008-1634-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In horizontally layered soils of different electrical properties, electrical potential distribution becomes complex and the obtained resistivity data may be limited in reflecting the actual soil profile. Thus the objective of this study was to identify the factors that affect resistivity measurement on the cone penetrometer and further investigate the sensitivity of measured resistivity to different types and concentrations of contaminants at the subsurface level. First, a theoretical resistivity equation was derived to provide a means of computing the geometric factor. The effective volume of measurement on the cone penetrometer was investigated and laboratory soil box tests verified the dominance of partially high resistivity regions within the effective volume of measurement over the apparent resistivity. Such effect was found to lead to possible discrepancies between the recorded resistivity data and the actual depth of measurement. Measurements on contaminated soil layers indicated that resistivity cones are efffective in delineating inorganic contaminants in soils of high water contents, and detecting NAPLs floating above the groundwater table provided that soils adjacent to the plume are not dry of water.
引用
收藏
页码:1309 / 1317
页数:9
相关论文
共 50 条
  • [31] Data on biosurfactant assisted removal of TNT from contaminated soil
    Bina, Bijan
    Amin, Mohammad Mehdi
    Kamarehie, Bahram
    Jafari, Ali
    Ghaderpoori, Mansour
    Karami, Mohammad Amin
    Teimouri, Fahimeh
    Sadani, Mohsen
    DATA IN BRIEF, 2018, 19 : 1600 - 1604
  • [32] A Bayesian approach for determining velocity and uncertainty estimates from seismic cone penetrometer testing or vertical seismic profiling data
    Pidlisecky, Adam
    Haines, Seth S.
    CANADIAN GEOTECHNICAL JOURNAL, 2011, 48 (07) : 1061 - 1069
  • [33] Re-evaluating the strength of pit-latrine faecal sludge from dynamic cone penetrometer test data
    Shafiq, Yasmine
    Haigh, Stuart
    Holm, Rochelle
    Parker, Alison
    WATER SA, 2020, 46 (04) : 638 - 644
  • [34] Evaluating model-based relationship of cone index, soil water content and bulk density using dual-sensor penetrometer data
    Lin, J.
    Sun, Y.
    Lammers, P. Schulze
    SOIL & TILLAGE RESEARCH, 2014, 138 : 9 - 16
  • [35] ANALYSIS OF DENSITOMETRIC DATA OBTAINED FROM ELECTROPHORETIC ANALYSIS
    SOFER, W
    MARTIN, P
    COMPUTER APPLICATIONS IN THE BIOSCIENCES, 1987, 3 (02): : 129 - 129
  • [36] Kinetic properties of Lipase obtained from Pseudomonas aeruginosa isolated from crude oil contaminated soil
    Femi-Ola, Titilayo Olufunke
    Orjiakor, Paul Ikechukwu
    Enerijiofi, Kingsley Erhons
    Oke, Iyanuoluwa Omolade
    Fatoyinbo, Adebayo Adeola
    SCIENTIFIC JOURNALS OF THE MARITIME UNIVERSITY OF SZCZECIN-ZESZYTY NAUKOWE AKADEMII MORSKIEJ W SZCZECINIE, 2019, 59 (131): : 154 - 161
  • [37] A PRACTICAL METHOD FOR THE INTERPRETATION OF EARTH RESISTIVITY DATA OBTAINED FROM DRIVEN ROD TESTS
    NAHMAN, J
    SALAMON, D
    IEEE TRANSACTIONS ON POWER DELIVERY, 1988, 3 (04) : 1375 - 1379
  • [38] Interpretation of Ground Resistivity Data Obtained from Single Driven Rod Tests.
    Nahman, J.
    Salamon, D.
    Elektrotehnika Zagreb, 1986, 29 (03): : 175 - 180
  • [39] Estimating soil hydraulic properties from transient cone permeameter data
    Kodesova, R
    Gribb, MM
    Simunek, J
    SOIL SCIENCE, 1998, 163 (06) : 436 - 453
  • [40] Analysis of Data Obtained from the Mobile Botnet
    Kobiela, Jaroslaw
    Urbaniec, Piotr
    ADVANCES IN MOBILE COMPUTING AND MULTIMEDIA INTELLIGENCE, MOMM 2023, 2023, 14417 : 20 - 34