On selecting the excess density in gravity modeling of inhomogeneous media


Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Только для подписчиков

Аннотация

In this paper, a relatively simple and physically solid algorithm is developed for solving the problem of reference density selection for the models of heterogeneous media. The way is suggested for determining the excess density of the individual elements of the structured model against the background varying density of the hosting rocks: in the calculations, the latter should be replaced by the hydrostatic density of the normal model, which only depends on depths. It is shown that the excess density of the elements within the inhomogeneous layer, referred to the depth-varying hydrostatic density of the normal model, has a significantly lower value throughout the entire depth of the studied domain and minimizes the gravitational effect of density contact along a curvilinear boundary. The efficiency of the algorithm is demonstrated by the model example and case study. Within the density model for the lithosphere of the Timan–Pechora plate, the structural layers corresponding to the sedimentary cover, crystalline crust, and upper mantle are isolated. For each of them, the fields are calculated within the gravitational model of a heterogeneous layer with curvilinear boundaries.

Об авторах

I. Ladovskii

Bulashevich Institute of Geophysics, Ural Branch

Email: pmart3@mail.ru
Россия, ul. Amundsena 100, Yekaterinburg, 620016

P. Martyshko

Bulashevich Institute of Geophysics, Ural Branch

Автор, ответственный за переписку.
Email: pmart3@mail.ru
Россия, ul. Amundsena 100, Yekaterinburg, 620016

D. Byzov

Bulashevich Institute of Geophysics, Ural Branch

Email: pmart3@mail.ru
Россия, ul. Amundsena 100, Yekaterinburg, 620016

V. Kolmogorova

Bulashevich Institute of Geophysics, Ural Branch

Email: pmart3@mail.ru
Россия, ul. Amundsena 100, Yekaterinburg, 620016

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML

© Pleiades Publishing, Ltd., 2017

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).