Gravity Prediction by Pseudo-Density Profiling.

Abstract

This paper investigates the problem of predicting gravity values in ocean areas which are sparsely surveyed. Some of the prediction techniques currently employed are summarized and a brief review of gravity reductions pertinent to this study are presented. In an effort to use accepted statistical algorithms supplemented by other supporting geophysical data, gravity prediction by the method of pseudo-density profiling is then developed. This interpolating procedure uses the correlation of free-air gravity and bathymetry to predict values in ocean areas where gravity observations are sparse but bottom topography is known in detail. An integral part of the method is optimizing the gravity/bathymetric relationship by low-pass filtering the bathymetry. Conclusions of this study are based on examples of both one- and two-dimensional applications and illustrate that under the proper conditions, the pseudo-density method produces results which are superior to other interpolation techniques. In areas where coverage is not so sparse, departure of predicted gravity from observed values provides a method for inferring lateral variations in density associated with regional geology and tectonics.

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1975
Accession Number
ADA022869

Entities

People

  • Donald W. Hill

Organizations

  • Naval Oceanographic Office

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Bathymetry
  • Earth Sciences
  • Filtration
  • Geology
  • Integrals
  • Interdisciplinary Science
  • Interpolation
  • Mathematics
  • Observation
  • Planetary Sciences
  • Space Sciences
  • Statistical Algorithms
  • Tectonics
  • Two Dimensional

Readers

  • Approximation Theory.
  • Space Exploration and Orbital Mechanics.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference