Iranian Journal of Geophysics

Iranian Journal of Geophysics

Number of Volumes: 20
Number of Issues: 80
Number of Articles: 755
Number of Contributors: 1,345
Article Views: 743,870
PDF Downloads: 515,771
Views Per Article: 985.26
PDF Downloads Per Article: 683.14

Number of Submissions: 995
Rejected Submissions: 227
Rejection Rate: 23
Accepted Submissions: 534
Acceptance Rate: 54
Time to Accept (Days): {Less than 60 days}
Number of Indexing Databases: 12
Number of Reviewers: 538

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