Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Infrared thermography based seepage and erosion detection in earthen dams using laboratory scale models.

Scientific reports·2025
Same author

Performance of Gradient and Gradient-Free Optimizers in Transient Hydraulic Tomography.

Ground water·2023
Same author

Performance of <i>Canna Indica</i> based microscale vertical flow constructed wetland under tropical conditions for domestic wastewater treatment.

International journal of phytoremediation·2021
Same author

On the Performance of Pilot-Point Based Hydraulic Tomography with a Geophysical a Priori Model.

Ground water·2020
Same author

Application of ERT, Saline Tracer and Numerical Studies to Delineate Preferential Paths in Fractured Granites.

Ground water·2018
Same author

Effect of elevation resolution on evapotranspiration simulations using MODFLOW.

Ground water·2011

Related Experiment Video

Updated: May 22, 2025

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
10:18

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

8.5K

Information-Driven Sequential Inversion for Transient Hydraulic Tomography.

Prem Chand Muraharirao1, B V N P Kambhammettu1, Ramdas Pinninti2,3

  • 1Department of Civil Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India.

Ground Water
|March 12, 2025
PubMed
Summary

This study introduces an information-driven approach for Transient Hydraulic Tomography (THT) inversion, outperforming traditional signal-to-noise ratio methods. Ranking pumping data by information content (Kullback-Leibler divergence) improves accuracy and efficiency in hydrogeologic characterization.

More Related Videos

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

12.5K
Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
09:32

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging

Published on: December 9, 2021

2.9K

Related Experiment Videos

Last Updated: May 22, 2025

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
10:18

Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography

Published on: February 21, 2017

8.5K
Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

12.5K
Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
09:32

Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging

Published on: December 9, 2021

2.9K

Area of Science:

  • Hydrogeology
  • Geophysics
  • Environmental Science

Background:

  • Transient Hydraulic Tomography (THT) effectively characterizes subsurface hydraulic and storage properties.
  • Sequential inversion of THT is computationally efficient but accuracy depends on the selection and order of pumping datasets.
  • Traditional signal-to-noise ratio (SNR) methods for dataset selection often neglect crucial information content.

Purpose of the Study:

  • To develop and evaluate an alternative strategy for ranking pumping datasets in THT sequential inversion based on information content.
  • To improve the accuracy and computational efficiency of THT inversion by prioritizing informative data.

Main Methods:

  • Utilized a non-parametric Gringorten plotting position to generate cumulative distribution functions (CDFs) for transient datasets.
  • Employed Kullback-Leibler divergence (KLD) to quantify data variations and rank pumping ports by information content.
  • Tested the methodology using a laboratory sandbox model, applying Discrete Wavelet Transform (DWT) for denoising and PEST coupled with MODFLOW for inversion.

Main Results:

  • KLD-assisted inversion demonstrated superior accuracy (RMSE = 0.278 ± 0.177 cm) compared to SNR-assisted inversion (RMSE = 1.075 ± 0.990 cm).
  • Applying a KLD threshold (>10) reduced THT data by 68% and computational time by 64% with comparable accuracy (RMSE = 0.265 ± 0.121 cm).

Conclusions:

  • Information-driven dataset selection using KLD significantly enhances the performance of THT sequential inversion.
  • The proposed method offers a more accurate and computationally efficient alternative to traditional quality-driven approaches, even with reduced data.
  • This approach is valuable for hydrogeologic characterization in diverse settings.