Mineral resource assessments of large regions: Now and in the future
No abstract available.
Geology topics
Publications and source records attributed to Donald A. Singer.
No abstract available.
Stages in the metal supply process are affected by each of the following physical (geologic) factors: (1) geographic distribution of concentrations of potential ore minerals, (2) depth of these concentrations, (3) mineralogy, (4) grain size of the minerals, and (5) grade and (6) tonnages of the concentrations. For mineral deposits of each type in each geologic and political environment, the lowest cost metal will tend to be produced first because: (1) the largest deposits tend to be found first, (2) the few largest deposits should reap the benefits of economies of scale and will tend to account for the lion’s share of total metal, (3) higher grade deposits that require substantially less energy per ton of metal than do lower grade deposits will be mined first, and (4) deposits that have the mineralogy and grain sizes that are relatively cheap to process will be produced first. Shallow deposits that are relatively cheap to find and mine and deposits near existing infrastructure will also be produced first. Because stages in the supply process are sequential, problems at any stage caused by the physical factors are reflected in subsequent stages and adversely affect production costs. In the long term, effects of such problems will be not physical shortages of metals but a rapid or persistent increase in real prices of metals.
No abstract available.
In the last two decades federal and state governments have become in creasingly preoccupied with classi fying public lands according to the uses that may be made of them. One outcome of the classifying can be a change in the land's legal status from one in which any use is tolerated to one in which only selected activities are allowed. Since such a change af fects the economic and recreational opportunities of individuals and in stitutions, a variety of interest groups have developed to follow and influ ence the classifying process. Perhaps nowhere has the process been more closely scrutinized or more hotly de bated than in Alaska, where land-use decisions for much of the state's 375 million acres are being made.
No abstract available.
No abstract available.
The relative efficiencies of equivalent-density, square and equilateral triangular (hexagonal) grids used in the search for elliptical targets are determined for ellipses having relative semi-major axes ranging from 0.50 to 1.00 of the square grid spacing and having shapes (minor axes/major axes) ranging from 0.2 to 1.0. Using the probability of one or more hits, the grid types are equally efficient for targets having semi-major axes less than or equal to one-half of the grid spacing. The triangular grid is as much as 6 percent more efficient for targets having relative sizes greater than 0.50. The square grid is less than 1 percent more efficient in a small region centered on a relative size of 0.80 and a shape of 0.45. Both grids are equally efficient for targets that are hit with certainty and tend toward equal efficiency as the ellipses become more needlelike in shape. A random search is more efficient than both grid types when the relative size is less than 0.50 and the probability of two or more hits is used to define relative efficiency. For two or more hits and targets having relative sizes larger than 0.50, the triangular grid is as much as 91 percent less efficient than the square grid; however, the probabilities are small. In a region centered on a relative size of 0.80, the triangular grid is slightly more efficient if the criterion is two or more hits. The probability of two or more hits is inversely related to the probability of one or more hits for many target sizes and shapes.
The least exacting demand that can be made of any model is that it serves as a device whereby we can predict actual physical happenings. Another demand which could be made is that the physical happenings predicted be in some way relevant to man, either by allowing him to anticipate future uncontrollable events or by demonstrating the possible consequences of various decisions. To date, many mineral resource models have been deficient in meeting these demands.