If the perimeter of traverse is 2000 m and the amount of closing error is 10 m, then the relative closing error would be:
0.005
In surveying, a traverse is a series of connected lines whose lengths and angles are measured. A closed traverse begins and ends at points with known positions, or it begins at a known point and ends at another known point. Due to inevitable errors in field measurements, a closed traverse will usually not perfectly close; the end point calculated from the measurements will not exactly coincide with the starting point (or known end point). This discrepancy is known as the closing error or error of closure.
The closing error is the vector sum of the errors in the measured lengths and angles of the traverse. It represents the total error accumulated over the entire traverse. It can be broken down into errors in the easting and northing coordinates (or latitude and departure).
While the total closing error gives a sense of the magnitude of the error, it's often more useful to express this error relative to the size of the traverse. This is where the relative closing error comes in. The relative closing error is the ratio of the closing error to the perimeter (total length) of the traverse. It is usually expressed as a fraction or ratio, often in the form of 1 in some number (e.g., 1 in 5000).
The formula for relative closing error is:
$$\text{Relative Closing Error} = \frac{\text{Closing Error}}{\text{Perimeter of Traverse}}$$
Sometimes, this ratio is inverted to show the precision as 1 part in 'X', where 'X' is the perimeter divided by the closing error. The question asks for the direct ratio.
Given the information:
Using the formula:
$$\text{Relative Closing Error} = \frac{10 \text{ m}}{2000 \text{ m}}$$
Now, perform the division:
$$\text{Relative Closing Error} = \frac{10}{2000}$$
$$\text{Relative Closing Error} = \frac{1}{200}$$
$$\text{Relative Closing Error} = 0.005$$
So, the relative closing error is 0.005. This can also be expressed as 1 part in 200 (1:200) when inverted ($$\frac{2000}{10} = 200$$).
The calculated relative closing error is 0.005, which matches one of the provided options.
| Given Value | Value |
|---|---|
| Perimeter | 2000 m |
| Closing Error | 10 m |
| Calculated Relative Closing Error | 0.005 |
| Term | Definition | Calculation |
|---|---|---|
| Closing Error (Absolute) | The linear distance or vector difference between the calculated end point and the true or starting end point of a closed traverse. | Vector sum of errors in latitude and departure: $$\sqrt{(\Sigma \Delta L)^2 + (\Sigma \Delta D)^2}$$ (where $$\Sigma \Delta L$$ and $$\Sigma \Delta D$$ are the net errors in latitude and departure). |
| Relative Closing Error | The ratio of the closing error to the total length (perimeter) of the traverse. Expresses the error relative to the size of the survey. | $$\frac{\text{Closing Error}}{\text{Perimeter}}$$ |
| Precision Ratio | Often the reciprocal of the relative closing error, expressed as 1 in X. | $$1 : \frac{\text{Perimeter}}{\text{Closing Error}}$$ |
Understanding and managing errors is crucial in surveying to ensure the accuracy and reliability of the survey results. Different types of errors can occur in traverse surveying:
After calculating the closing error, if it exceeds the permissible limit for the project's standards, the traverse must be re-surveyed. If the error is within acceptable limits, it is typically distributed among the traverse legs using adjustment methods like the Bowditch method (Compass Rule) or the Transit Rule. These methods adjust the measured latitudes and departures to ensure the traverse mathematically closes.
The relative closing error provides a simple way to assess the overall quality of the survey fieldwork for that specific traverse. Different types of surveys and different project requirements will have varying standards for acceptable relative closing error (e.g., higher precision required for urban boundary surveys than for preliminary topographic surveys).
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