How Does Simpson's Rule Estimate the Volume of an Artificial Lake?

In summary, the artificial lake has a width of 5 meters and a length of 100 meters. The depth of the lake varies every 20 meters, with the depth at 120 meters being 2 meters. The volume of the water in the lake is estimated to be 180 cubic meters.
  • #1
Pete1
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An artificial lake is made up of 5m width and 100m length in dimension. The depth of the lake varies every 20m length as recorded in the following table. Use Simpson's rule approximation to estimate the volume of the water in the lake.

Distance (m) 0 20 40 60 80 100 120
Depth (m) 2.0 1.6 1.8 2.1 2.1 1.9 2.2
 
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  • #2
Okay, what difficulty are you having? The problem says "use Simpson's rule". Do you know what "Simpson's rule" is? Simpson's rule is a numerical method for approximating an integral:
[tex]\int_a^b f(x)dx= \frac{b- a}{3n}\left(y_0+ 4y_1+ 2y_2+ \cdot\cdot\cdot+ 2y_{n-2}+ 4y_{n-1}+ y_n\right)[/tex]
The interval from a to b is divided into n sub-intervals, each of length (b- a)/n. Each [tex]y_i[/tex] is the value of the function at [tex]x_i[/tex], the endpoint of the ith sub-interval.
Note that coefficients "4" and "2" alternate except for the first and last terms. And that n must be even (an integer number of "4" and "2" terms plus the first and last) so that the number of points must be odd (we start counting with "0"). In this problem we are given 7 points so y values will be labeled [tex]y_0[/tex], [tex]y_1[/tex], [tex]y_2[/tex], [tex]y_3[/tex], [tex]y_4[/tex], [tex]y_5[/tex], and [tex]y_6[/tex].

Or is the difficulty setting up the integral? You are told that the lake has width 5 m and length 100 m. You are given the depth at 20 m intervals of the length. Nothing is said about the depth along the width so the only thing you can do is assume it is constant along the width. You are told, for example, that the depth at 40 m is 1.8 meters. The width is 5 m and the distance to the next given depth, at 60 m, is 20m. That is a 1.8 by 5 by 20 rectangular solid so has volume (1.8)(5)(20)= 180. That is your "[tex]y_2[/tex]". Calculate [tex]y_0[/tex] as (2.0)(5)(20), [tex]y_1[/tex] as (1.6)(5)(20), [tex]y_2[/tex] as (1.8)(5)(20), [tex]y_3[/tex]as (2.1)(5)(20), [tex]y_4[/tex] as (2.1)(5)(20), [tex]y_5[/tex] as (1.9)(5)(20), and [tex]y_6[/tex] as (2.2)(5)(20).
 

FAQ: How Does Simpson's Rule Estimate the Volume of an Artificial Lake?

What is Simpson's Rule approximation?

Simpson's Rule approximation is a method used to estimate the value of a definite integral by approximating it with a series of quadratic curves. It is named after mathematician Thomas Simpson and is based on the idea of dividing the area under a curve into smaller, simpler shapes.

How does Simpson's Rule approximation work?

Simpson's Rule approximation works by dividing the interval of integration into an even number of subintervals and then approximating the curve within each subinterval with a quadratic polynomial. The area under each polynomial is then calculated and summed to approximate the total area under the curve.

When is Simpson's Rule approximation used?

Simpson's Rule approximation is often used when the function being integrated is complex or difficult to integrate using traditional methods. It is also commonly used when a higher degree of accuracy is desired compared to other approximation methods.

What are the limitations of Simpson's Rule approximation?

One limitation of Simpson's Rule approximation is that it can only be used for functions with an even number of subintervals. It also requires a relatively small subinterval size to achieve accurate results. Additionally, it may not work well for functions with a high degree of curvature or extreme values.

How accurate is Simpson's Rule approximation?

The accuracy of Simpson's Rule approximation depends on the number of subintervals used and the smoothness of the function being integrated. With a sufficient number of subintervals, it can provide a highly accurate estimate of the integral. However, it may not always be as accurate as other numerical integration methods, such as the trapezoidal rule or midpoint rule.

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