TY - JOUR
T1 - Self-potential method to assess embankment stability
T2 - A study related to the Sidoarjo mud flow
AU - Sungkono,
AU - Wasilah, Masithoh N.
AU - Widyaningrum, Yekti
AU - Hidayatullah, Wildan M.
AU - Fathoni, Fandi A.
AU - Husein, Alwi
N1 - Publisher Copyright:
© 2020 Published by ITB Institute for Research and Community Services.
PY - 2020
Y1 - 2020
N2 - The stability of an embankment is generally influenced by a number of factors, such as deformation, fractures, overtopping, seepage, etc. Fractures and seepage are commonly found in the LUSI (Sidoarjo mud flow) embankment. In this study, analysis of self-potential (SP) data was applied to identify fractures and seepage in the LUSI embankment. Noise-Assisted Multivariate Empirical Mode Decomposition (NA-MEMD) and Continuous Wavelet Transform (CWT) were applied to determine the location of seepage and fractures in the subsurface based on SP data. The results were correlated with the 2D direct current resistivity (DCR) method, which showed that both methods worked well and were compatible in detecting and localizing fracture and seepage in the LUSI embankment.
AB - The stability of an embankment is generally influenced by a number of factors, such as deformation, fractures, overtopping, seepage, etc. Fractures and seepage are commonly found in the LUSI (Sidoarjo mud flow) embankment. In this study, analysis of self-potential (SP) data was applied to identify fractures and seepage in the LUSI embankment. Noise-Assisted Multivariate Empirical Mode Decomposition (NA-MEMD) and Continuous Wavelet Transform (CWT) were applied to determine the location of seepage and fractures in the subsurface based on SP data. The results were correlated with the 2D direct current resistivity (DCR) method, which showed that both methods worked well and were compatible in detecting and localizing fracture and seepage in the LUSI embankment.
KW - DCR
KW - Fractures
KW - Seepage
KW - Self-potential
KW - Signal processing method
UR - http://www.scopus.com/inward/record.url?scp=85092690845&partnerID=8YFLogxK
U2 - 10.5614/j.eng.technol.sci.2020.52.5.8
DO - 10.5614/j.eng.technol.sci.2020.52.5.8
M3 - Article
AN - SCOPUS:85092690845
SN - 2337-5779
VL - 52
SP - 707
EP - 731
JO - Journal of Engineering and Technological Sciences
JF - Journal of Engineering and Technological Sciences
IS - 5
ER -