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By T. V. Loudon (auth.), Daniel F. Merriam (eds.)

ISBN-10: 1468470442

ISBN-13: 9781468470444

ISBN-10: 1468470469

ISBN-13: 9781468470468

Since founding on the twenty third foreign Geological Congress in Prague in 1968, the overseas organization for Mathematical Geology has prepared periods along side the Congress. The twenty seventh IGC in Moscow was once no exception and the IAMG back held periods and assisted the Congress in organizing part 20 -Mathematical Geology and Geological details ( D. F. Merriam, D. A. Rodionov, and R. Sinding-Larsen, conveners). All jointly 128 abstracts have been released within the technical lawsuits. a number of of the papers have been released ahead of the Congress, others weren't on hand, and others deemed now not acceptable for e-book during this quantity. This assortment then includes these papers on hand and consultant of the periods. the gathering is actually overseas with contributions from Canada, China, France, Poland, the united kingdom, united states, and USSR. they're consultant of the cutting-edge as of the early Nineteen Eighties in various fields. the applying of geomathematics/geostatistics to geological difficulties has been hastened by way of the provision of pcs. those papers replicate that orientation -most of the implications shouldn't have been attainable with out using pcs. many of the techniques make the most of concepts available and tailored to fixing geological difficulties -simulation, photo research, selection conception, fuzzy units, and so forth. despite the fact that, one quarter, that of geostatistiques inclusive of Kriging, has been designed specially to be used via earth scientists of the French institution to resolve geological problems.

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More recently. Vistelius and others (1983) used a simplified model in which the sequence microcline-quartz-albite is conSidered. but the crystallization stages are ignored. This model was justified by the observation that the grains analyzed did not show traces of interruption in crystal growth. The stochastic model applied to a stock of fine-grained potaSSiC granite was 24 FABBRI AND KRETZ analyzed carefully in detail and verified. Statistical tests and a computer program were provided for its application.

It enables us to determine a simple formula to calculate distances between samples and as a result an algorithm for subdivision of the investigated lithologic series. The algorithm was programmed in FORTRAN IV language for engineering geology problems. 43 44 KACEWICZ INTRODUCTION An automatic subdivision of the investigated lithologic series into units is a difficult problem because of the complexity of information which we obtain from geological studies. Usually we conSider many different features characteristic of a given geological environment, among which we can select more-or-Iess important ones from the point of view of a given application.

7 indicate the limits between soil types denoted by Pg , Gp , and G (in the Feret triangle). The limitation of space in this paper precludes presentation of the full details of this test, but they will be published later. The result of this test shows the fuzzy character determination of the type of soil and as a consequence some geotechnical parameters. Analogously, the fuzzy character of other mentioned features also can be shown, which emphasized that the consideration of fuzzy form of description of data has a practical sense.

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Current Trends in Geomathematics by T. V. Loudon (auth.), Daniel F. Merriam (eds.)


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