Analysis of Geohydrologic Data by Kriging,

Abstract

Hydrologic characterization of hazardous waste sites is an expensive and challenging task. Making efficient use of field data in modeling subsurface flow and transport can help private firms and government agencies control costs by achieving better results. Often, conventional approaches to geohydrologic data processing (e.g., hand contoured maps) are too subjective to provide the most efficient and accurate use of the data. The geostatistical interpolation technique, kriging, and an elementary streamtube hydraulic conductivity inverse algorithm have been successfully applied to characterize the flow system at a complex hazardous waste site. Kriging aided in identifying the need for additional field measurements, selecting optimal well locations, determining the effect of subjective inferences (by geohydrologists) on the groundwater flow system, establishing data validity, and producing best-fit contour plots from irregularly spaced field measurements. Subsequent field work and the numerical modeling of flow and chemical transport confirmed the value of the geostatistical efforts.

Document Details

Document Type
Technical Report
Publication Date
Mar 22, 1984
Accession Number
ADP004152

Entities

People

  • J. L. Devary
  • R. Schalla

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Conductivity
  • Data Processing
  • Governments
  • Groundwater
  • Hazardous Waste
  • Hazardous Waste Sites
  • Interpolation
  • Maryland
  • Measurement
  • Transport Ships

Readers

  • Computer Vision.
  • Environmental Engineering.
  • Fluid Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space
  • Space - Hall-Effect Thruster