Iranian Journal of Geophysics

Iranian Journal of Geophysics

Number of Volumes: 20
Number of Issues: 80
Number of Articles: 761
Number of Contributors: 1,355
Article Views: 776,243
PDF Downloads: 531,735
Views Per Article: 1020.03
PDF Downloads Per Article: 698.73

Number of Submissions: 1,003
Rejected Submissions: 228
Rejection Rate: 23
Accepted Submissions: 533
Acceptance Rate: 53
Time to Accept (Days): {Less than 60 days}
Number of Indexing Databases: 12
Number of Reviewers: 539

Iranian Journal of Geophysics (IJG) is a technical geophysical journal published by the National Iranian Geophysical Society. This journal publishes research/scientific articles; six issues (four in Farsi and two in English) per year. The objective of the IJG is to introduce activities, researching, and innovations in advancing and education of geophysics and related sciences in the form of research articles. The IJG provides the basis for the connection between the Earth scientists in general to geophysicists in the more specific term. The IJG expresses its readiness to receive Farsi (Persian) and English articles. The IJG welcomes those who are willing to submit research/scientific articles, reviewing articles, providing discussion and constructive comments to promote the scientific level of the journal.

 

Open Access Policy

Iranian Journal of Geophysics (IJG) is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author, but with citing the reference. This is in accordance with the BOAI definition of open access. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
 
 

 

Publication Ethics

 

Iranian Journal of Geophysics now is accepted for coverage in Elsevier  Scopus

 

 

Current Issue: Volume 20, Issue 3, July and August 2026, Pages 1-240 

3D modeling of electro-facies using a geostatistical algorithm

Pages 129-151

10.30499/ijg.2025.508999.1678

Reda Al Hasan, Mohammad Hossein Saberi, Mohammad Ali Riahi

Keywords Cloud

  • Precipitation
  • Iran
  • Iran
  • Zagros
  • Inversion
  • focal mechanism
  • WRF Model
  • Gravity
  • WRF
  • Quality factor
  • Temperature
  • Artificial Neural Network
  • porosity
  • earthquake
  • Seismicity
  • Potential field
  • Numerical modeling
  • Seismic attributes
  • Tehran
  • Ground penetrating radar (GPR)
  • Modeling
  • Shear wave velocity
  • Makran
  • Magnetotelluric
  • Alborz
  • Caspian Sea
  • Clustering
  • gravity data
  • Electrical resistivity
  • gravity anomaly
  • Neural Network
  • Edge detection
  • b-value
  • Machine Learning
  • Earthquake
  • Tomography
  • Depth estimation
  • GPR
  • Geothermal
  • Attenuation
  • Central Alborz
  • Genetic Algorithm
  • Analytic signal
  • Site Effect
  • potential vorticity
  • climate change
  • Resistivity
  • jet stream
  • upward continuation
  • Site effects
  • Ionosphere
  • Uncertainty
  • numerical accuracy
  • prediction
  • wind speed
  • Forecasting
  • Joint inversion
  • sea surface temperature
  • Data assimilation
  • Persian Gulf
  • processing
  • NW Iran
  • Strong ground motion
  • Dust
  • Climate change
  • 3D modeling
  • flood
  • Post-processing
  • finite difference
  • Peak Ground Acceleration
  • spectral decomposition
  • cross-correlation
  • Seismic attribute
  • Simulation
  • regularization parameter
  • Seismotectonics
  • Seismic hazard
  • Ambient Noise
  • numerical simulation
  • Grace
  • Interpolation
  • Lithosphere
  • structural index
  • Anisotropy
  • Spectral analysis
  • GPS
  • seismicity parameters
  • Dust Storm
  • magnetic data
  • Anomaly
  • Aftershock
  • Induced Polarization
  • Downscaling
  • Remote Sensing
  • Persian Gulf
  • Kangan and Dalan Formations
  • Fuzzy logic
  • Moho Depth
  • Stress
  • Nonlinear method
  • Vp/Vs Ratio
  • Euler deconvolution
  • Oman Sea
  • continuous wavelet transform
  • Noise
  • Well Logs
  • Resolution
  • Geoid
  • Earthquake location
  • Group velocity
  • seismic reservoir characterization
  • Drought
  • surface wave
  • HVSR
  • ERA5
  • unexploded ordnance
  • Artificial intelligence
  • seismic anisotropy
  • MERRA-2
  • Salt dome
  • CMIP6
  • Tsunami
  • Geophysics
  • Principal component analysis
  • wave activity
  • magnetometry
  • north of Iran
  • electrical resistivity tomography (ERT)
  • Inertia–gravity waves
  • Filter
  • Z grid
  • Wave activity flux
  • Tehran Region
  • linear regression
  • post processing
  • precursor
  • Numerical Weather Prediction
  • tropospheric ozone
  • Reservoir characterization
  • Ensemble forecasting
  • tilt angle
  • GIS
  • Southwest Asia
  • Polar Vortex
  • GPS velocity field
  • Stress Inversion
  • North Atlantic oscillation
  • seismic imaging
  • low-frequency shadow
  • Solar Radiation
  • soil moisture
  • Global warming
  • Correlation
  • transition zone
  • Lithofacies
  • Geopotential Height
  • receiver function
  • Curie depth
  • Tectonic
  • power spectrum
  • Dynamic analysis
  • empirical mode decomposition
  • magnetosphere
  • image processing
  • Downward continuation
  • Synthetic model
  • dipole shear sonic imager
  • Mechanical interaction
  • teleconnection
  • Tropical Cyclone
  • Finite element method
  • Frequency Domain
  • Effective porosity
  • Yazd
  • Spectral Acceleration
  • Gravity interpretation
  • simple geometric bodies
  • peak ground acceleration (PGA)
  • morphology
  • Tabriz
  • 2D Inversion
  • Turbulence
  • Common reflection surface
  • Carbonate rocks
  • Southeast of Iran
  • regional anomaly
  • stress drop
  • Geometrical spreading
  • Kriging
  • moment magnitude
  • velocity model
  • random noise attenuation
  • Particle Swarm Optimization
  • seismic parameters
  • Sensitivity analysis
  • Bouguer Anomaly
  • subsidence
  • Singular Value Decomposition
  • Precipitable water
  • growth rate