Aerosphere oscillation.
2020
An investigation into the electromagnetic fields capturing visual data to reveal the extent of their presence within a natural environment. This is to gain an understanding of the negative effects they are having on the natural world .
From this project I have developed two machines, the first an Aerosphere oscillation detector (AOD) for animal conservation use to gain an understanding of the effects of electro magnetic fields (EMF). The second device is a Pollen detector a small handheld machine that is able to detect EMF produced by plants . To gain an insight visually on the topic I am researching I conducted several experimentations with the AOD studying two locations in detail.
Image generated from data captured from a 16th century protected woodland situated between residential housing. This image indicates low EMF radiation with many dark areas and little energy
Image generated from data captured from a nature reserve with electrical pylons running through the centre of the reserve. This image indicates high EMF radiation with little dark areas and much energy
Abstract
1. Electrical magnetic fields (EMF) are becoming increasingly important with the development of more electrical man-made devices and structures, such as railway lines, overhead power cables and communication devices. However, it is currently difficult to visually capture these fields as they are a wavelength beyond human perception. This prevents the monitoring of real-time EMF data which has the capacity to impact local wildlife and plants.
2. We developed an aerosphere oscillation detector that can be used in the field to capture real-time EMF and produce visual readings on location. The first prototype was tested in a range of environments before refinements were made to allow it to be used directly in the field. We also tested the ability of the detector to see if it was able to distinguish locations with little to no EMF.
3. The detector can map small locations and produces data in as little as 5 minutes. It is able to capture the air from the site, extracting the moisture which is the main catalyst for EMF. The detector can produce instant readings once the area is mapped and is not limited to the number of images that can be made using one set of data.
4. While still in early stages, the use of the machine allows rapid insight into the severity and extent of EMF affecting the area mapped, which can help identify areas at risk of the ecological effects of EMF.
Figure 1. Map showing location 1 (‘high EMF zone’); Effingham Junction woodland, situated between an electrical substation and railway line, which was mapped for a duration of 30 minutes covering a distance of 1.17 km
Figure 2. Map showing location 2 (‘low EMF zone’); Effingham Junction ancient woodland dating back to the 1600s, which was mapped for a duration of 40 minutes covering a distance of 2.29 km.
Pollen Detector.
A small device developed during the research phase after interviewing a bee keeper. This polled detector is able to detect when flowers have pollen ready for bees as well as detecting any disruption from electrical devices or structures that produce electro magnetic fields.
