Добрый день, Коллеги. Важное сообщение, просьба принять участие. Музей Ферсмана ищет помощь для реставрационных работ в помещении. Подробности по ссылке
This is a book on the dynamics of the atmosphere and ocean, with an emphasis on the fundamentals and on the large-scale circulation. By ‘large-scale’ I mean scales between that of the weather (a few hundred kilometres in the atmosphere and a few tens of kilometres in the ocean, which indeed has its own weather) and the global scale. My focus is our own planet Earth, for that is where we live, but the principles and methodology used should be appropriate for the study of the atmospheres and oceans of other planets.
The Australasian Code for Reporting of Mineral Resources and Ore Reserves (the ‘JORC Code’ or ‘the Code’) sets out minimum standards, recommendations and guidelines for Public Reporting of exploration results, Mineral Resources and Ore Reserves in Australasia. It has been drawn up by the Joint Ore Reserves Committee of The Australasian Institute of Mining and Metallurgy, the Australian Institute of Geoscientists and the Minerals Council of Australia. The Joint Ore Reserves Committee was established in 1971 and published a number of reports which made recommendations on the classification and Public Reporting of Ore Reserves prior to the first release of the JORC Code in 1989. <...>
The objective of the Australian groundwater modelling guidelines is to promote a consistent and sound approach to the development of groundwater flow and solute transport models in Australia. It builds on existing guidelines (Murray–Darling Basin Commission 2001) that have been adopted throughout Australia in recent years. While it is acknowledged that the term groundwater modelling refers to a variety of methods, the guidelines focus on computer-based numerical simulation models.
1.2 Prior to September 1999 the estimation and reporting of Coal Resources and Coal Reserves in Australia were prescribed by the "Australian Code for Reporting Identified Coal Resources and Reserves (February 1986)". This code was ratified by the Government Geologists’ Conference in April 1986 and appended to the "Australasian Code for Reporting of Identified Mineral Resources and Ore Reserves" (The JORC Code), prepared by the Joint Ore Reserve Committee (JORC) in February 1989. The JORC Code was subsequently revised in 1992 and 1996.
Australian Landscapes is at least the third edited volume to be devoted to Australian geomorphology in the last half-century, two others being Landform Studies from Australia and New Guinea (Jennings & Mabbutt 1967) and Landform Evolution in Australasia (Davies & Williams 1978). There is a strong thread running between those two volumes and this one: the second volume marked the retirement of Joe Jennings, who was one of the editors of the first volume, and this volume honours one of the editors of the second, Martin Williams, along with John Chappell; both John and Martin retired recently. The legacy of Joe Jennings, who supervised the PhD research of both Martin and John, is summarized briefly in an Appendix to this Introduction. The fact that we, the editors of this current volume, were supervised in our PhD research by John (B.P.) and Martin (P.B.) continues that intertwining of threads.
Австралийские протерозойские месторождения железо-оксид-медь-золотых м-й: обзор с новыми металлогеническими и геологоразведочными данными из района Клонкарри, Северо-Западный Квинсленд.
Enigmatic hydrothermal vein/breccia/replacement Cu-Au deposits with magnetite and/or hematite are well-represented in Australian 1850 Ma to 1500 Ma terrains and associated with different-aged synorogenic intrusions in the Tennant Creek Block (ca. 1850 Ma); the Gawler-Curnamona region (1640 Ma to 1590 Ma); and the Cloncurry district (Mount Isa Eastern Fold Belt, 1540 Ma to 1500 Ma with a possible earlier event at ca. 1600 Ma). No deposits are known to be coeval with various 1780 Ma to 1610 Ma anorogenic intrusions. Deposits are hosted by many different rock-types with varying metamorphic grade including granites and various supracrustal rocks. Depth of mineralization varied from many kilometers in semiductile crust (e.g., Cloncurry deposits) to very shallow (e.g., Olympic Dam).
There are two main issues stemming from Vallée’s (2002) comments on Dominy et al. (2001b). First, he raises the importance of quality assurance/quality control (QA/QC) during resource estimation programs, and second, he indicates that the resolution and understanding of continuity (grade and geological) issues are paramount in the classification of resources. In particular, continuity is critical at the boundary between the Inferred and Indicated Mineral Resource categories.
Currently, a geologist should manually fill an electronic table while he describes rocks or scratch a description on a blanket. This takes a lot of time and effort. Lots of researchers have developed their approach to autonomous rock classification. Unfortunately, all of them are based on a core column investigation. Most used a traditional approach to image classification based on a statistical analysis of images and machine learning techniques. Modern deep learning techniques were applied to classify and segment core images in this work. An important note is that previous works cover only core column examination, while this paper presents an approach to extract core columns from a core box. Thus, a geologist should not spend time on a manual description of the core or extraction of separate images out of a core box. This can be done by applying the developed algorithms described in this work. The algorithms were also included in a system which became worldwide available software.
