Iranian Journal of Geophysics

Iranian Journal of Geophysics

Number of Volumes: 20
Number of Issues: 80
Number of Articles: 767
Number of Contributors: 1,367
Article Views: 805,027
PDF Downloads: 538,077
Views Per Article: 1049.58
PDF Downloads Per Article: 701.53

Number of Submissions: 1,009
Rejected Submissions: 232
Rejection Rate: 23
Accepted Submissions: 537
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
  • Gravity
  • WRF Model
  • WRF
  • Quality factor
  • Temperature
  • earthquake
  • porosity
  • Artificial Neural Network
  • Seismicity
  • Seismic attributes
  • Ground penetrating radar (GPR)
  • Potential field
  • Numerical modeling
  • Tehran
  • Makran
  • b-value
  • Modeling
  • Shear wave velocity
  • Edge detection
  • Machine Learning
  • Caspian Sea
  • Tomography
  • Magnetotelluric
  • gravity data
  • Alborz
  • Neural Network
  • Clustering
  • climate change
  • Earthquake
  • gravity anomaly
  • Electrical resistivity
  • Site effects
  • potential vorticity
  • Persian Gulf
  • Data assimilation
  • numerical accuracy
  • Joint inversion
  • prediction
  • upward continuation
  • wind speed
  • NW Iran
  • Resistivity
  • jet stream
  • processing
  • Uncertainty
  • sea surface temperature
  • Forecasting
  • Central Alborz
  • Strong ground motion
  • Attenuation
  • Site Effect
  • GPR
  • Geothermal
  • Genetic Algorithm
  • seismicity parameters
  • Depth estimation
  • Analytic signal
  • Ionosphere
  • Seismic attribute
  • Seismotectonics
  • spectral decomposition
  • numerical simulation
  • Post-processing
  • Fuzzy logic
  • Anomaly
  • Simulation
  • Stress
  • 3D modeling
  • Induced Polarization
  • cross-correlation
  • Ambient Noise
  • Seismic hazard
  • Euler deconvolution
  • structural index
  • Moho Depth
  • flood
  • Oman Sea
  • Interpolation
  • Downscaling
  • GPS
  • Anisotropy
  • Spectral analysis
  • Global warming
  • Remote Sensing
  • Kangan and Dalan Formations
  • Persian Gulf
  • Grace
  • Dust
  • finite difference
  • Dust Storm
  • magnetic data
  • Nonlinear method
  • CMIP6
  • Aftershock
  • Vp/Vs Ratio
  • Lithosphere
  • regularization parameter
  • Peak Ground Acceleration
  • Geoid
  • surface wave
  • Resolution
  • Downward continuation
  • ERA5
  • continuous wavelet transform
  • Geopotential Height
  • Principal component analysis
  • tilt angle
  • Curie depth
  • Earthquake location
  • Dynamic analysis
  • Mechanical interaction
  • Well Logs
  • Correlation
  • Lithofacies
  • Tectonic
  • electrical resistivity tomography (ERT)
  • GPS velocity field
  • Filter
  • seismic imaging
  • North Atlantic oscillation
  • magnetometry
  • teleconnection
  • Reservoir characterization
  • Ensemble forecasting
  • Numerical Weather Prediction
  • Tropical Cyclone
  • soil moisture
  • Artificial intelligence
  • precursor
  • Stress Inversion
  • MERRA-2
  • linear regression
  • power spectrum
  • Solar Radiation
  • Statistical Downscaling
  • Inertia–gravity waves
  • Polar Vortex
  • receiver function
  • GIS
  • Salt dome
  • empirical mode decomposition
  • seismic reservoir characterization
  • Tehran Region
  • Geophysics
  • Drought
  • image processing
  • Wave activity flux
  • north of Iran
  • Noise
  • Z grid
  • Synthetic model
  • Landslide
  • post processing
  • Southwest Asia
  • low-frequency shadow
  • Climate change
  • dipole shear sonic imager
  • tropospheric ozone
  • Tsunami
  • magnetosphere
  • transition zone
  • HVSR
  • seismic anisotropy
  • unexploded ordnance
  • wave activity
  • Group velocity
  • Southeast of Iran
  • 2D Inversion
  • Microtremor
  • short time Fourier transform
  • outgoing long wave radiation
  • temporary seismic network
  • attenuation relationship
  • Magnetic method
  • ellipticity curve
  • blocking
  • NWP
  • Genetic algorithm
  • Yazd
  • COMSOL
  • resistivity method
  • porosity distribution
  • TEC
  • Aerosols
  • blasting
  • Coda waves
  • Deep Learning
  • Air Temperature
  • ERA5-land
  • disaggregation
  • IPCC AR4
  • CDS
  • Seismic wave attenuation
  • coda wave