Author:
G. Papp Geodetic and Geophysical Research Institute of the Hungarian Academy of Sciences POB 5 H-9401 Sopron Hungary

Search for other papers by G. Papp in
Current site
Google Scholar
PubMed
Close
Restricted access

Nettleton’s method is based on the elevation dependence of the surface free-air gravity anomalies and widely used to obtain an optimal average density value by applying e.g. least squares model parameter estimation. Its accuracy, however, strongly depends on how efficiently the regional trends and very local (terrain) effects are removed from the gravity anomalies processed. If the geometry of the topography is fixed then the terrain correction term at the evaluation point P is a linear function of the unknown average topographical density. Therefore it can also be included in the equation system to be solved by adjustment and an estimation of the density can be obtained in one step, without iteration. The results of this simple refinement of Nettleton’s method as well as the distorting effect of the regional trend are demonstrated by a local example. It reviews the gravity survey of a geological structure (known as loess bluff) and its surrounding on the bank of the river Danube. The derived density values increase from ϱt = 1163±543 kg/m 3 to ϱt = 1764±113 kg/m 3 as the gravity anomalies are gradually reduced by regional and local (terrain) effects during data processing. The lab determination of surface loess samples from the area having only 3.5% water content gives 1610 ± 100 kg/m 3 .

  • Collapse
  • Expand

To see the editorial board, please visit the website of Springer Nature.

Manuscript Submission: HERE

For subscription options, please visit the website of Springer Nature.

Acta Geodaetica et Geophysica
Language English
Size B5
Year of
Foundation
2013
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó Springer
Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2213-5812 (Print)
ISSN 2213-5820 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Jan 2024 9 4 0
Feb 2024 6 2 0
Mar 2024 38 0 0
Apr 2024 12 0 0
May 2024 10 0 0
Jun 2024 14 0 1
Jul 2024 0 0 0