Measuring Energies at the Island of Andaman see and Cambodia
New Year 2012 we celebrated with my wife Irina at the resort on little island in Andaman see, Myanmar. (Nabucco's Myanmar Andaman Resort, Macleod Island, Mergui Archipelago, E-Mail: email@example.com). It was our second visit there; in 2011 we were so charmed with beauty and calmness of this place that we decided to return. This is a diving resort where most of guests every morning take a boat and sail for diving to the nearby reefs. For half a day all the place is absolutely lonely with miles of sandy beaches, home reef with beautiful fishes and corrals, acceptable price, careful attitude from all the personnel and good kitchen. What else do you need for total relax!
Being there I was dong recordings with Sputnik sensor on practically everyday basis.
And the very first records on January 1 night were really surprising! Signal of the sensor was constantly rising for all the measuring time â€“ for more than 3 hours (fig.1 curve 1. The principle of calculations is presented in Appendix 2). I repeated measurement at night result was practically same (fig.1 curve 2). But next day everything became clear from the early morning heavy tropical rain with strong wind crashed on the island. It was very unusual for January, but all the previous 2011 year had an unusual weather.
Fig.1. Time dynamics of Energy recorded by the Sputnik sensor at the Macleod Island 01.01.2012.
1 Jan 1, 7 pm; 2 Jan 2, 1 am; 3-7 Jan 2-6; 8 Jan 7, 6 pm.
Next day it was gloomy from the morning, even little drops of rain, but by the middle of the day sky began clearing up. I started recording at 5 pm, and after sunset stars showed up. This was reflected by the signal it became very stable and all the records in next days at the island were practically conceded (fig.1 curves 3-7). For several days Moon was shining at the night sky sometimes hiding between the clouds, and the amplitude of a signal was very high.
At January 7 we had strong wind and the see was turbulent. It was a day of Full Moon and this was reflected in dropping down of the signal amplitude (fir.1 curve 8).
Interesting conclusions may be done by analysis of the level of data variability. The principle of calculations is presented in Appendix. As we see from the fig.2 and 3, on Jan 1 variability was quite high and in all other days it was on the level 1-2%.
Fig.2. Time dynamics of data variability recorded by the Sputnik sensor at the Macleod Island 01.01.2012.
Fig.3. Time dynamics of data variability recorded by the Sputnik sensor at the Macleod Island 3-7/01.
As a reference on fig.4 graph of time dynamics of data variability recorded by the Sputnik sensor in St. Petersburg in November 2011 is presented. As you see, in a calm conditions, variation of the parameters for a long time is at the level of 1%.
Fig.4. Time dynamics of data variability recorded by the Sputnik sensor in St. Petersburg.
These data confirm sensitivity of the sensor, and at the same time it shows that in all the measurements of environment we need to take into consideration dependence of data both on the energy of the place itself and on the conditions of the atmosphere. For example, at Andaman Island sunset is very fast â€“ as if someone turns off the Holy Light and day instantly converts to night. This was clearly reflected on the Area and Intensity parameters (Fig.5,6).
Fig.5. Time dynamics of the Sputnik sensor at the Macleod Island Jan 2, 2012. Area parameter. Arrow indicates the time of sunset.
Fig.6. Time dynamics of the Sputnik sensor at the Macleod Island Jan 2, 2012. Intensity parameter. Arrow indicates the time of sunset.
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Measuring Energies at the Island