What is the purpose of this exercise? First this exercise is meant to make you think about grain size, a fundamental geologic variable, more complexly. A second purpose of this exercise is to teach you how to construct and analyze histograms, a fundamental first step in the analysis of a single variable (univariate analysis), which we will focus on next week. You will also learn about some basic univariate statistical descriptors (that is a mouthful). Finally, this exercise will give you more experience with the idea of approximation and the importance of assumptions in analysis.
Why is the grain size distribution of geologic materials important? Grain size distribution data is widely used in geology and engineering. Think of sand, silt and mud. The grain size of a particle is crucial in determining whether it is transported in a current or when it comes to rest as a current diminishes. This in turn is important for engineering purposes, such as considering what size rip-rap to put in place to armor a channel bank. Too small and the current takes it away.. Grain size distribution is also a fundamental determinant of intergrain permeability. Grain size is important in an array of chemical reactions because smaller grain sizes increase surface area and aggregate reactivity. Grain size distribution also carries information as to origin - consider the difference between plutonic and volcanic rocks. Example abound where grain size is crucial variable in geoscience and other endeavors. Can you think of some additional examples?
Wentworth grain size scale from United States Geological Survey Open-File Report 2006-1195 . Web source: https://en.wikipedia.org/wiki/File:Wentworth-Grain-Size-Chart.pdf .
Background for exercise: A sphere is an elegant shape, one that has a radius, diameter
and a distinct middle that is easily found (do you remember how
from your high school geometry class?). A perfect sphere has no
variation in its radius or diameter. Operationally, one typically measures
the radius as the distance from the center to the periphery, and
the diameter as the length of a line that passes through the center
and goes from one side to the other side of the circle. However,
an individual sand or cobble grain shows significant departures
from a spherical geometry (see the image of a sand grain below),
and this creates an object with variance in the diameter one would
measure. The next better geometric approximation for a real grain
shape might be an ellipsoid. An ellipsoid has 3 primary axes,
each of which would be a diameter by our definition. They intersect
at the center. There are also 'other' diameters that exist for
other lines that pass through the middle. Real grains of course
show departures from a perfect ellipsoid form. Lets define our
variable of interest as the diameter of a single grain; i.e. the
lengths of lines that pass from the center to the periphery.
Crucial to the concept of diameter is the identification of the grain center. It turns out that finding the center is not a trivial thing. One can take two perpendicular lines and move the intersection about the grain interior until the center point is equidistant from the margins as measured along a straight line. Then this operation can be repeated with two other perpendicular lines multiple times to hone in on the best center approximation. Another approach would simply be to compute the point where the average distance from that point to points on the grain boundary is a minimum. This point would define the center and hence the radii in a different way. This can be solved by brute computer force. By the end of this course you would be able to set this exercise up in Excel if you wanted to, but one might argue about if it is worth the time. However, many grains are close enough to spherical that the concept of grain size as measured by the grain diameter is still meaningful and useful. Experience indicates the approximation is useful.
Assumptions: In order to simplify we will consider a cross section of a quartz grain in thin section. We will assume that this cross section is representative of the grain and that it passes through the middle of the grain and that we can identify the center. Can these assumptions be challenged? It turns out that they can. Imagine an egg shaped grain. When it comes to rest statistically it will likely have its long axis horizontal, just like an egg on a counter top. So the direction of the cross section cut is important. Additionally, whether this cut went through the side or center of the grain is indeterminate since it was basically a random cut. By picking one of the larger grains in the thin section it is more likely that this section passes near the middle. It is not uncommon that assumptions are not perfectly met. It is also important to recognize and analyze one's assumptions. The level of precision needed is an important consideration here. Since we simply want to get some idea of how the diameter of a single grain tends to vary these assumptions are probably closely enough met. If it becomes important to be very precise about the grain diameter measure then you might want to proceed differently. Can you think of how? There is an interesting trade off. To get an increase in precision of 10% you may have to expend 100% more effort.
Link to follow-up material.
@Harmon D. Maher Jr., 2010.