Ask any homeowner or a business located near huge manufacturing industries about the most disturbing thing, and they will most likely tell you how noise exposure has made their lives miserable. Nothing seems as frustrating as the noise exposure you experience when you are located close to the industrial buildings. Many European nations have come up with noise policies in order to assess and understand the effect of noise exposure on people.
If researchers use the same techniques to identify the impact of noise control on people, the only thing they can do with these studies is either combine them or compare them. It is extremely important that you use standardized techniques for conducting noise mapping to get a better idea of how the noise exposure is affecting different industries and what measures can be taken to control the hazardous effect of noise exposure. One such tool that can make noise detection and plan a lot easier is GIS (Geographic Information Technology).
The best part about GIS is its efficiency or accuracy, which makes the noise effect studies accurate and easy to understand. There is no denying that the quality and accuracy of the results abstained in the noise mapping process depends largely on the method used for noise detection. Each step matters, since there is no point in achieving the highest level of accuracy in one step, while you know the next step is conducted with no details.
Currently, there is a large volume of GIS-based data collected, which can be used for conducting noise-effect studies in the most appropriate way. It involves the study of the noise level, as well as, the location of people who are exposed to this noise. The more data you store, the better the details you can collect about the noise, and the more accurate your study will turn out. However, storing a large volume of data is not really recommended, as it can consume significant space on your system.
Noise Effect Study with GIS
Noise effects are computer thoroughly in the noise effect studies. Note that the noise is computed, instead of being measured. This feature brings with it a set of advantages for researchers, as first of all, you can’t measure noise as it requires multiple measure points to acquire an accurate picture of the situation. Besides that, measuring errors are pretty common in noise effect studies. The values are often combined and compared with less accurate information, which could make the data highly inaccurate.
For instance, experts don’t use the individual location of each house when conducting a study on the noise effects on the environment. Instead, they use the location of residential places with an average number of buildings in that place to understand the noise effect. If we see the broader picture, this method is senseless. Another important thing to consider here is that the computation method you are using must be adapted to the detail you need in the study. GIS is, undeniably, your best tool to collect just about any information concerning the noise effects.