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 Experiment Videos

Revisiting the Cape Cod bacteria injection experiment using a stochastic modeling approach.

Reed M Maxwell1, Claire Welty, Ronald W Harvey

  • 1Atmospheric, Earth, and Energy Sciences Department, Lawrence Livermore National Laboratory (L-208), 7000 East Avenue, Livermore, California 94550, USA. maxwell5@llnl.gov

Environmental Science & Technology
|September 8, 2007
PubMed
Summary
This summary is machine-generated.

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

Microfluidic-electrochemical sensor utilizing statistical modeling for enhanced nitrate detection in surface water towards environmental monitoring.

The Analyst·2025
Same author

Geospatial Variability of Fluorescent Dissolved Organic Matter in Urban Watersheds: Relationships with Land Cover and Wastewater Infrastructure.

Environmental science & technology·2024
Same author

Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon.

FEMS microbiology ecology·2024
Same author

Groundwater Modeling in a Changing World: MODFLOW-and-More 2022 Special Issue.

Ground water·2023
Same author

Water Table Depth Estimates over the Contiguous United States Using a Random Forest Model.

Ground water·2023
Same author

Continental Scale Hydrostratigraphy: Basin-Scale Testing of Alternative Data-Driven Approaches.

Ground water·2023

This study reinterprets aquifer tracer tests using a 3D stochastic model, improving bacteria transport predictions. The approach accurately captures mean bacteria movement and quantifies uncertainty in groundwater systems.

Area of Science:

  • Hydrogeology
  • Environmental Science
  • Colloid Science

Background:

  • Tracer tests are crucial for understanding contaminant and microbial transport in aquifers.
  • Previous models often simplified the complex interplay between aquifer properties and particle movement.
  • Stochastic modeling offers a more realistic representation of heterogeneous subsurface environments.

Purpose of the Study:

  • To re-evaluate 1987 bromide and bacteria tracer tests using a three-dimensional stochastic approach.
  • To couple bacteria transport with colloid filtration theory, linking parameters to hydraulic conductivity and seepage velocity.
  • To improve predictions of bacteria breakthrough curves in sandy aquifers.

Main Methods:

  • Utilized geostatistical information of the hydraulic conductivity (K) field as input for a groundwater flow and particle-tracking model.

Related Experiment Videos

  • Calibrated a conservative solute transport model to bromide tracer breakthrough data.
  • Employed an optimization routine over 100 realizations to adjust K field parameters for best fit.
  • Ran a stochastic particle-tracking model for bacteria transport, incorporating colloid filtration theory and comparing different collector efficiency models.

    • Main Results:

    • The calibrated model accurately predicted bromide breakthrough curves.
    • Good predictions of mean bacteria breakthrough were achieved using the stochastic approach.
    • Both Tufenkji and Elimelech and Rajagopalan and Tien models performed comparably for estimating single collector efficiency.
    • Using a distribution of bacterial cell diameters slightly improved model-data agreement over a constant average diameter.

    Conclusions:

    • The stochastic approach reasonably captured mean bacteria transport behavior in the sandy aquifer.
    • The model successfully calculated an envelope of uncertainty that bracketed most observational data.
    • This reinterpretation provides a more robust understanding of bacteria transport in heterogeneous groundwater systems.