Four Dimensional Visualization and Analysis of Ground Penetrating Radar Data for the Determination of Three Dimensional Hydrologic Conductivity and Time Dependent Fluid Flow

EPA Grant Number: R825209
Title: Four Dimensional Visualization and Analysis of Ground Penetrating Radar Data for the Determination of Three Dimensional Hydrologic Conductivity and Time Dependent Fluid Flow
Investigators: Versteeg, Roelof
Institution: Lamont Doherty Earth Observatory of Columbia University
EPA Project Officer: Saint, Chris
Project Period: October 1, 1996 through September 30, 1999
Project Amount: $434,611
RFA: High Performance Computing (1996) RFA Text |  Recipients Lists
Research Category: Health , Ecosystems , Environmental Statistics

Description:

The purpose of this project is to create methods for the determination of reliable subsurface model of hydrologic conductivity using Ground Penetrating Radar and advanced data visualization and analysis techniques. These models will benefit efforts in subsurface remediation, spill progress assessment and general activities are related to subsurface fluid flow properties.

The following interim objectives will be adressed: 1) development of a protocol to determine radar data acquisition parameters adequate for 4D visualization analysis; 2) collection of a series of representative test data sets on a variety of sites to assess the success and limitations of 4D visualization technologies; 3) development of software modules to translate the 4D radar data into maps and movies of fluid movement both in space and in time; and 4) development of software modules to translate the 4D radar data and the maps and movies of fluid movement into a 3D model of subsurface hydrologic conductivity.

Supplemental Keywords:

RFA, Scientific Discipline, Ecosystem Protection/Environmental Exposure & Risk, Hydrology, computing technology, Ecological Risk Assessment, ecosystem modeling, time dependent fluid flow, HPCC, computer science, integrated visualization, ground penetrating radar, subsurface model, component-based software, data analysis, four dimensional visualization