Iranian Journal of Geophysics

Iranian Journal of Geophysics

Number of Volumes: 20
Number of Issues: 80
Number of Articles: 759
Number of Contributors: 1,352
Article Views: 758,349
PDF Downloads: 523,250
Views Per Article: 999.14
PDF Downloads Per Article: 689.39

Number of Submissions: 997
Rejected Submissions: 227
Rejection Rate: 23
Accepted Submissions: 530
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
  • earthquake
  • Seismicity
  • Artificial Neural Network
  • porosity
  • Numerical modeling
  • Potential field
  • Ground penetrating radar (GPR)
  • Tehran
  • Modeling
  • Seismic attributes
  • Shear wave velocity
  • Makran
  • b-value
  • Alborz
  • Neural Network
  • Electrical resistivity
  • Magnetotelluric
  • Clustering
  • Caspian Sea
  • Tomography
  • gravity data
  • gravity anomaly
  • Machine Learning
  • Edge detection
  • Earthquake
  • Depth estimation
  • Geothermal
  • GPR
  • processing
  • Central Alborz
  • Site effects
  • Resistivity
  • Site Effect
  • Persian Gulf
  • jet stream
  • Analytic signal
  • potential vorticity
  • upward continuation
  • Forecasting
  • numerical accuracy
  • Uncertainty
  • Joint inversion
  • wind speed
  • Ionosphere
  • Attenuation
  • prediction
  • Data assimilation
  • NW Iran
  • climate change
  • Genetic Algorithm
  • Strong ground motion
  • numerical simulation
  • Oman Sea
  • sea surface temperature
  • flood
  • 3D modeling
  • Post-processing
  • Seismotectonics
  • Peak Ground Acceleration
  • Ambient Noise
  • cross-correlation
  • Simulation
  • spectral decomposition
  • finite difference
  • regularization parameter
  • Dust
  • Seismic attribute
  • Seismic hazard
  • Grace
  • Interpolation
  • Lithosphere
  • GPS
  • structural index
  • Anisotropy
  • Spectral analysis
  • Dust Storm
  • seismicity parameters
  • Downscaling
  • magnetic data
  • Anomaly
  • Aftershock
  • Induced Polarization
  • Remote Sensing
  • Stress
  • Kangan and Dalan Formations
  • Fuzzy logic
  • Moho Depth
  • Euler deconvolution
  • Nonlinear method
  • Vp/Vs Ratio
  • continuous wavelet transform
  • Noise
  • Resolution
  • Geoid
  • Climate change
  • Earthquake location
  • Tropical Cyclone
  • Group velocity
  • Drought
  • HVSR
  • MERRA-2
  • Artificial intelligence
  • CMIP6
  • ERA5
  • Salt dome
  • seismic reservoir characterization
  • seismic anisotropy
  • unexploded ordnance
  • teleconnection
  • surface wave
  • Tsunami
  • Geophysics
  • wave activity
  • magnetometry
  • Stress Inversion
  • north of Iran
  • electrical resistivity tomography (ERT)
  • Tehran Region
  • Well Logs
  • Filter
  • Z grid
  • Wave activity flux
  • linear regression
  • post processing
  • precursor
  • Numerical Weather Prediction
  • tropospheric ozone
  • Reservoir characterization
  • Ensemble forecasting
  • tilt angle
  • GIS
  • Southwest Asia
  • Polar Vortex
  • GPS velocity field
  • North Atlantic oscillation
  • seismic imaging
  • Solar Radiation
  • soil moisture
  • Global warming
  • Correlation
  • transition zone
  • Lithofacies
  • low-frequency shadow
  • Geopotential Height
  • receiver function
  • Persian Gulf
  • Curie depth
  • Tectonic
  • power spectrum
  • Dynamic analysis
  • empirical mode decomposition
  • magnetosphere
  • image processing
  • Downward continuation
  • Synthetic model
  • dipole shear sonic imager
  • Mechanical interaction
  • 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
  • structure
  • Forward modeling