Correlation between electrical resistivity and soil watercontent based artificial intelligent techniques


Aşcı M.

International Journal Of Physical Sciences, cilt.5, ss.47-56, 2010 (SCI Expanded İndekslerine Giren Dergi)

  • Cilt numarası: 5
  • Basım Tarihi: 2010
  • Dergi Adı: International Journal Of Physical Sciences
  • Sayfa Sayısı: ss.47-56

Özet

By using an artificial intelligent approaches, the purpose of this study is to compare water content of

soils obtained from electrical resistivity in order to better results from conventional techniques system.

The input variables for this system are the electrical resistivity reading, the water content laboratory

measurements. The output variable is water content of soils. In this study, 148 data sets are clustered

into 120 training sets and 28 testing sets for constructing the fuzzy system and validating the ability of

system prediction, respectively. Soil is a heterogeneous medium consisting of liquid, solid, and

gaseous phases. The solid and liquid phases play an essential role in soil spontaneous electrical

phenomena and in behavior of electrical fields, artificially created in soil. For our aim, study area is

selected in Istanbul (Yesilkoy, Florya, Basinkoy) and Golcuk. In this area, the electrical resistivity is

measured by VES (Vertical Electrical Sounding) in many points of these locations by field resistivity

equipment. For geotechnical purposes, on the soil samples from borings, soil mechanics laboratory

procedures was applied and it determined the soil water contents from these samples. Relationships

between soil water content and electrical parameters were obtained by curvilinear models. The ranges

of our samples are changed between 1 - 50 ohm.m (for resistivity) and 20 - 60 (%, for water content). For

this range, it was found that classical regression relation between resistivity (R) and water content (W)

of soils was W = 49.21e-0.017R. An artificial intelligent system (artificial neural networks, Fuzzy logic

applications, Mamdani and Sugeno approaches) based on some comparisons about correlation

between electrical resistivity and soil-water content, for Istanbul and Golcuk Soils in Turkey was

constructed for identifying water content with electrical resistivity of soils.