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Soran Parang

Ph.D. Candidate

University of Ottawa

About Me

I am a Ph.D. candidate and research assistant working under the supervision of Prof. Glenn A. Milne in the Earth System Dynamics Research Group at the Department of Earth and Environmental Sciences at the University of Ottawa. I am interested in analyzing and integrating diverse satellite geodetic measurements for monitoring variations in the Earth's shape and gravity field—from global to local scales—and enhancing our understanding of Earth system dynamics concerning lithosphere, cryosphere and hydrosphere.

My research interests are focused on utilizing SAR Interferometry and GNSS/GPS techniques for monitoring ice-sheet motion and measuring Earth's surface displacements caused by natural hazards and anthropogenic activities; investigating the Earth structure through physical geodesy and Earth's gravity field recovery based upon satellite gravimetry (GRACE/GRACE-FO and GOCE); and deploying numerical/analytical approaches, adjustment theory and time series analysis for geodetic modeling.

Currently, I am working on Glacial Isostatic Adjustment (GIA) modeling for investigating the implications of ice sheets on Earth system dynamics and developing GIA models in different regions based on numerical modeling and combination of various data sources regarding the Earth rheology and ice history (e.g. geomorphological evidence, tide gauge records and satellite geodetic measurements), thereby enhancing the estimation of tectonic signals, distinguishing between climatic and non-climatic sea level fluctuations, constraining the rheological properties of the Earth's interior (e.g. lateral variations in viscosity and lithospheric thickness), reconstructing the regional seal level for a glacial cycle, and determining the main contributing factors and mechanisms to the past and present sea level changes and examining their contributions to the future sea level changes. To shed light on this topic, GIA accounts for the adjustment process of the Earth to an equilibrium state once burdened by glaciers and ice sheets. GIA impacts upon the Earth system dynamics and occasions a global pattern of sea level change, variations of the Earth's gravitational field, crustal deformation and fluctuations of the Earth's center of mass and the Earth's rotation. Consequently, GIA modeling supplies an invaluable source for assessing global warming effects and climate change, ice sheet evolution, natural hazards, and the Earth structure and its rheology. In recent years, satellite geodetic techniques have played an increasingly drastic role in constraining GIA signals in different regions with complex rheologies, such as Greenland and Antarctica, and improving the 3-D Earth models. I am very enthusiastic about developing and calibrating GIA models through numerical approaches (e.g. finite element) and integrating diverse geodetic sources including tide gauge, satellite altimetry, InSAR-derived displacement field, GPS/GNSS measurements and GRACE garvimetry. Due to the fact that these data sets have different sensitivities to GIA, they can be combined with each other so as to correct the GIA signals and investigate the effective mechanisms for ice sheet and sea level changes from past to future. To exemplify, combination of continuous GPS observations characterized by high temporal resolution with differential InSAR techniques having high spatial resolution for the purpose of supplying more constraints on solid earth deformation rates, and integration of GRACE measurements determining the mass change associated with the mass redistribution in atmosphere, oceans, solid Earth and ice sheets into satellite altimetry detecting the surface elevation variation derived from ice volume change and solid Earth deformation for correcting GIA signals and quantifying the past and present ice mass changes and the non-GIA-induced mass redistribution, especially in areas where the ice sheets currently exist.

Interests

  • Cryosphere and Climate Change
  • Glacial Isostatic Adjustment (GIA)
  • Earth System Dynamics
  • Satellite Geodetic Techniques
  • Glaciers and Sea Level Change
  • Earth Structure and its Rheology

Education

  • Ph.D. in Earth Sciences, current

    University of Ottawa

  • M.Sc. in Geodesy, 2014

    University of Tehran

  • B.Sc. in Surveying and Geomatics Engineering, 2011

    University of Tehran

Teaching

 
 
 
 
 

Instructor for training courses

Mar 2018 – Jun 2019 Iran
Training Courses:

  • Python Programming in Geomatics
  • InSAR Processing by GMTSAR
  • GPS Data Processing
  • Earth's surface displacement field modeling by InSAR: Theory and Techniques
 
 
 
 
 

Lecturer

Technical and Vocational University

Jan 2018 – Mar 2019 Iran
Undergraduate Courses Taught:

  • Computer Programming
  • Geodesy II and Computation (Geometric Geodesy)
 
 
 
 
 

Lecturer

University of Applied Science and Technology

Sep 2015 – Dec 2019 Iran
Undergraduate Courses Taught:

  • Geodesy I
  • Geodetic and Control Surveying
  • Adjustment and Test
  • Geodesy II and Computation (Geometric Geodesy)
  • Physical Geodesy
  • Theory of Errors
  • Satellite Geodesy
 
 
 
 
 

Lecturer

Azad University

Jan 2014 – Sep 2015 Iran
Undergraduate Courses Taught:

  • Adjustment and Test
  • Geodetic Astronomy
  • Computer Programming
  • Satellite Geodesy
  • Geodesy II and Computation (Geometric Geodesy)
 
 
 
 
 

Teaching Assistant

University of Tehran

Sep 2009 – Sep 2011 Iran
Courses:

  • Route Surveying
  • Surveying II
  • Surveying I

Selected Projects

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Depth of the Moho Discontinuity from Parker-Oldenburg Inversion and Geopotential Models

The Parker-Oldenburg inversion algorithm is defined as follows: $$h(x)=F^{-1}(\frac{-F[\Delta g(x)]e^{-kz_0}}{2\pi G \rho}-\displaystyle\sum_{n=2}^{\infty} \frac{k^{n-1}}{n!}F[h^{n}(x)])$$ Where F is the Fourier transform operator; ∆g(x) is gravity anomaly; h(x) is the depth to the interface; k is the wavenumber; G is the gravitational constant; ρ is the density contrast across the interface; and z0 is the average depth of the horizontal interface. According to this algorithm, the topography of the interface density can be estimated by an iterative inversion procedure.

Moho Depth Estimation in Iran through Geopotential Models and Euler Deconvolution Method

The Moho discontinuity is the boundary between the Earth's crust and the underlying mantle. The Moho depth in different zones of Iran has been estimated by various approaches like analysis of receiver function method according to teleseismic waves recorded in seismic stations; inversion of terrestrial gravity data and using Bouguer gravity anomaly and free air gravity anomaly; spectral correlation analysis of terrain gravity effects; thermal analysis and using geoid height; Parker-Oldenburg method; Least squares Collection.

Other Projects

Please see details below

News

Joining the Prof. Glenn A. Milne's Research Lab (Earth System Dynamics Lab) at uOttawa on September 1, 2020

Working as a Ph.D. candidate and research assistant

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