What Are the Different Types and Sources of Errors in Surveying?

Surveying is an essential process in various industries such as construction, civil engineering, and land development. Accurate measurements are crucial, but errors are a part of the game, whether due to instrument issues, environmental factors, or human mistakes. Two significant types of errors in surveying are Cumulative errors and Compensating errors.

What are these errors, and how do they affect the results of your surveys? This article dives deep into these two types of errors, their sources, and effective ways to minimize their impact on your work.


What Are Cumulative Errors in Surveying?

Cumulative errors are those that accumulate or grow over multiple measurements or observations. As the survey progresses, these errors add up, resulting in a significant impact on the final results. Unlike random errors, which might cancel each other out, cumulative errors tend to build upon one another, causing increasing inaccuracy the longer the measurement process lasts.

Causes of Cumulative Errors:

Cumulative errors typically occur due to systematic issues that aren’t corrected after each observation. These errors can result from both instrumental and environmental factors.

  • Instrument Calibration Issues: If a surveying instrument (such as a theodolite or total station) is incorrectly calibrated, each measurement will inherit this error, leading to a cumulative effect over time.
  • Repetition of Small Mistakes: Even small errors in the setup of your equipment or measurement techniques, if repeated, can add up over the course of a survey.
  • Improper Setup of Equipment: If the equipment is not leveled properly, it can lead to consistent errors in every measurement taken, which compounds as the survey progresses.

Examples of Cumulative Errors:

  • Measuring Distance: If your measuring tape is slightly stretched or misaligned, the error in the measurement will add up as you take multiple readings over longer distances.
  • Leveling: Inaccurate leveling of an instrument like a theodolite can lead to errors in angle measurements that continue to increase as more measurements are taken.

How to Minimize Cumulative Errors

To reduce cumulative errors, it is crucial to:

  • Calibrate Instruments Regularly: Ensure that all equipment is calibrated properly before starting a survey. Calibration should be repeated if any instrument shows signs of error.
  • Use High-Quality Equipment: Invest in precision instruments that are less likely to experience gradual errors.
  • Perform Checks Frequently: Conduct checks throughout the survey to spot any developing errors early and correct them before they accumulate too much.

What Are Compensating Errors in Surveying?

Compensating errors are the opposite of cumulative errors in that they tend to counterbalance each other. These errors might not be immediately noticeable because they are “balanced out” by other errors of a different nature. Essentially, the impact of a compensating error is reduced over time as it is offset by another mistake, so the overall result might still be relatively accurate.

Causes of Compensating Errors:

Compensating errors can arise from a variety of factors, often related to human error, instrumental inaccuracies, or environmental conditions.

  • Human Error: Sometimes, the surveyor may make a mistake that, while inaccurate, is counterbalanced by another minor mistake later. For instance, if a measurement is slightly off in one direction, it may be corrected by an opposite error in another reading.
  • Instrumental Factors: Instruments can sometimes display errors that appear to be random but, in reality, cancel each other out. This can be due to imperfections in the equipment that lead to small, unpredictable variations.
  • Environmental Conditions: Factors like temperature, humidity, or wind might cause minute fluctuations in equipment readings. Over time, these fluctuations could cancel each other out, resulting in a relatively accurate final measurement despite the errors during the process.

Examples of Compensating Errors:

  • Measurement Over-Compensation: Suppose you take a measurement in one direction and overestimate the distance, but when measuring in the opposite direction, you slightly underestimate it. The errors will cancel each other out, leading to an overall result that’s fairly accurate, though each individual reading was incorrect.
  • Angle Measurement Variations: Small variations in angle measurements due to slight misalignment of the instrument may cancel out when the total angle is calculated, leading to minimal impact on the final result.

How to Minimize Compensating Errors

Even though compensating errors often balance out, they should still be minimized to ensure the highest accuracy possible. Here are a few ways to reduce compensating errors:

  • Ensure Proper Calibration: Like with cumulative errors, regular calibration of instruments will minimize the risk of compensating errors due to instrumental inaccuracies.
  • Double Check Measurements: Take multiple measurements in different directions and at different times. This way, if one error compensates for another, you’ll spot it before it can cause a major issue.
  • Use Redundant Measurements: Employing methods like double leveling or loop surveying can help detect and compensate for errors during the survey process.

Do You Know?

  • Compensating errors are most often associated with human mistakes or instrumental limitations. They can go unnoticed, but modern tools and practices like double-checking measurements and using correction factors help to minimize their impact.
  • Cumulative errors, on the other hand, are systematic and persistent, often linked to miscalibrated instruments or improper setup. These errors are harder to spot at first but can cause significant problems as they accumulate.

Key Differences Between Cumulative and Compensating Errors

To summarize, here are the main differences between cumulative and compensating errors:

FactorCumulative ErrorsCompensating Errors
NatureErrors that build up over timeErrors that cancel each other out
CauseSystematic and repetitive issues (e.g., miscalibration)Unpredictable or random errors (e.g., human error, equipment imperfections)
ImpactIncreasing impact as the survey progressesOften minimal impact since they cancel out
CorrectabilityCan be reduced with checks and calibrationHarder to detect immediately but can be minimized with redundancy

How Can You Detect and Correct These Errors in Surveying?

1. Regular Instrument Checks

As we’ve mentioned earlier, regular checks and calibrations can help detect both cumulative and compensating errors. It’s important to not just calibrate at the beginning of the survey but also to do periodic checks as you go.

2. Using Multiple Measurement Methods

Using more than one method of measurement (e.g., combining direct and indirect methods) can help detect discrepancies in results and minimize the effect of both cumulative and compensating errors.

3. Verification with Known Points

By comparing your results with known reference points or benchmarks, you can identify and correct any significant errors early in the surveying process. This can be particularly useful for catching cumulative errors.

4. Double-Checking Readings

Taking repeated measurements and averaging them out can help compensate for both types of errors. This way, small errors in measurement will tend to cancel each other out, and any systematic issues can be spotted and corrected.


Do You Know?

  • Did you know that a 1mm error in measurement over a distance of 100 meters can lead to an error of over 10cm at the end of a survey with multiple readings? This is why cumulative errors need to be minimized to maintain accuracy in surveying!
  • Compensating errors are tricky to spot but often appear when a surveyor makes a mistake that’s corrected by a later error. It’s a bit like balancing your checkbook—sometimes, the small mistakes end up evening out!

FAQs

1. What are the main sources of cumulative errors?

Cumulative errors are caused by issues such as improper calibration of instruments, incorrect measurements, and the repetition of small mistakes over time.

2. How do compensating errors occur in surveying?

Compensating errors happen when one error balances out another, making the final result appear accurate even though individual measurements may be flawed.

3. Can compensating errors be avoided?

While compensating errors are often random, they can be minimized with proper calibration, double-checking measurements, and using redundancy in measurement methods.

4. How can cumulative errors be corrected?

Cumulative errors can be corrected by ensuring proper calibration of instruments, taking frequent checks throughout the survey, and adjusting for any detected errors.

5. Are compensating errors always harmless?

Not always. Although compensating errors tend to cancel each other out, they can still lead to misinterpretation if not spotted in time, especially in precise measurements.

6. What’s the best way to prevent both types of errors?

Regular checks, calibration, and redundancy in measurement techniques are the best ways to prevent both cumulative and compensating errors.

7. How do environmental conditions contribute to errors?

Environmental factors like temperature, humidity, and wind can affect the accuracy of surveying instruments, causing both cumulative and compensating errors.

8. Can human errors cause cumulative errors?

Yes, human mistakes such as incorrect readings or improper setup of equipment can result in cumulative errors if they are not corrected during the survey.

9. Is it important to recheck measurements in surveying?

Absolutely! Rechecking measurements is crucial for catching both types of errors and ensuring the accuracy of your results.

10. How can I minimize human error in surveying?

Training, attention to detail, and using automated instruments can help reduce the impact of human error in surveying.


Conclusion

Cumulative and compensating errors are both significant factors that can affect the accuracy of your surveying results. By understanding these errors, their causes, and how to minimize them, you can ensure that your surveys are precise and reliable. Regular instrument checks, redundancy in measurement techniques, and careful attention to environmental factors are key to reducing these errors. With these practices in place, you’ll be better prepared to handle the challenges of surveying and produce accurate, trustworthy results every time.

Ananta
Ananta

Ananta has more than 10 years of experience as a lecturer in civil engineering & a BIM Implementation Specialist.