Generalized compensation model for the gravimetric Moho recovery

Robert Tenzer; W. Chen

Generalized compensation model for the gravimetric Moho recovery

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

A constant value of the Moho density contrast is often assumed in methods for a gravimetric determination of the Moho geometry. This assumption might be sufficient in some regional studies. In global studies, however, this assumption is not reasonable due to the fact that the Moho density contrast vary significantly. Large errors then can be expected in the Moho geometry determined globally from gravity data. In this study we utilize a generalized compensation scheme based on variable depth and density of compensation. The Moho depths are determined based on assuming the variable Moho density contrast. We demonstrate that this assumption (instead of a uniform model) significantly improves the agreement between the global gravimetric and seismic Moho models; the RMS fit of the gravimetric result with the CRUST1.0 seismic Moho model is 4.5 km (for a uniform model) and 3.0 km (for a variable model).

Original language	English
Title of host publication	Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment
Subtitle of host publication	Challenges, Processes and Strategies, IAMG 2014
Publisher	Capital Publishing Company
Pages	351-353
Number of pages	3
ISBN (Electronic)	9789381891254
Publication status	Published - 1 Jan 2014
Externally published	Yes
Event	16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 - Jawaharlal Nehru University, New Delhi, India Duration: 17 Oct 2014 → 20 Oct 2014

Conference

Conference	16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014
Country/Territory	India
City	New Delhi
Period	17/10/14 → 20/10/14

Keywords

Crust
Gravity
Isostasy
Mantle
Moho

ASJC Scopus subject areas

Mathematics (miscellaneous)
Earth and Planetary Sciences(all)

Cite this

Tenzer, R., & Chen, W. (2014). Generalized compensation model for the gravimetric Moho recovery. In Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014 (pp. 351-353). Capital Publishing Company.

Tenzer, Robert ; Chen, W. / Generalized compensation model for the gravimetric Moho recovery. Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014. Capital Publishing Company, 2014. pp. 351-353

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Tenzer, R & Chen, W 2014, Generalized compensation model for the gravimetric Moho recovery. in Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014. Capital Publishing Company, pp. 351-353, 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014, New Delhi, India, 17/10/14.

Generalized compensation model for the gravimetric Moho recovery. / Tenzer, Robert; Chen, W.

Proceedings of the 16th International Association for Mathematical Geosciences - Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment: Challenges, Processes and Strategies, IAMG 2014. Capital Publishing Company, 2014. p. 351-353.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Generalized compensation model for the gravimetric Moho recovery

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Keywords

ASJC Scopus subject areas

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