Uranous Mineralogy of Hypergene Reduction Region - Using electron microscopy data (Hardcover, 1st ed. 2021)


This book offers a comprehensive view of the valuable uranium ores and analytical electron microscopy methods, including electron microdiffraction principles, an essential technique for studying uranous minerals. This book also explains the laws governing the formation of uranium mineral accumulations, based on concepts published by the renowned Russian mineralogist L.N. Belova. It addresses all types of ore uranium concentrations in the hypergene region and schematizes all uranium mineral formation processes. Readers will also find selected examples of different genetic types of uranium deposits of black sooty ores; the data gathered from all findings on ningyoite worldwide, and new crystal chemistry data on tetravalent uranium phosphates.

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Product Description

This book offers a comprehensive view of the valuable uranium ores and analytical electron microscopy methods, including electron microdiffraction principles, an essential technique for studying uranous minerals. This book also explains the laws governing the formation of uranium mineral accumulations, based on concepts published by the renowned Russian mineralogist L.N. Belova. It addresses all types of ore uranium concentrations in the hypergene region and schematizes all uranium mineral formation processes. Readers will also find selected examples of different genetic types of uranium deposits of black sooty ores; the data gathered from all findings on ningyoite worldwide, and new crystal chemistry data on tetravalent uranium phosphates.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Springer Mineralogy

Release date

April 2021

Availability

Expected to ship within 12 - 17 working days

First published

2021

Authors

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

210

Edition

1st ed. 2021

ISBN-13

978-3-03-067182-2

Barcode

9783030671822

Languages

value

Subtitles

value

Categories

LSN

3-03-067182-8



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