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Verification of Data from Supersensitive Detector of Hydrosphere Pressure Variations
Grigory Dolgikh1, Stanislav Dolgikh1, Mikhail Ivanov1
1V.I. Il'ichev Pacific Oceanological Institute, Far Eastern Branch Russian Academy of Sciences, 690041 Vladivostok, Russia.
Sensors (Basel, Switzerland)
|August 12, 2023
Summary
Researchers developed a new method to measure sea waves using a supersensitive detector of hydrosphere pressure variations and a sound velocity profiler. This study calibrated the detector
Area of Science:
- Oceanography
- Marine geophysics
- Acoustics
Background:
- Accurate measurement of sea waves is crucial for understanding coastal processes and marine environments.
- Existing methods for detecting hydrosphere pressure variations have limitations in capturing a wide range of wave periods.
- The Primorsky Territory's diverse bays offer a unique natural laboratory for testing marine instrumentation.
Purpose of the Study:
- To experimentally determine the data conversion coefficient for a supersensitive detector of hydrosphere pressure variations.
- To calibrate the detector's performance in registering sea waves across various periods.
- To validate the accuracy of the detector by comparing its readings with a sound velocity profiler.
Main Methods:
- Experimental deployment of a supersensitive detector of hydrosphere pressure variations and a sound velocity profiler.
- Instruments were rigidly fixed and placed on the seabed at depths up to 10 meters in various bays.
- In-situ data from both instruments were collected and compared over extended periods.
Main Results:
- The study successfully calculated the data conversion coefficient for the supersensitive detector.
- The detector demonstrated capability in registering sea waves with periods ranging from seconds to tens of minutes.
- Comparison of in-situ data provided a reliable method for detector calibration.
Conclusions:
- The supersensitive detector of hydrosphere pressure variations is a viable tool for sea wave analysis.
- The experimental calibration provides essential data for improving the accuracy of pressure variation measurements.
- This research contributes to enhanced monitoring of dynamic oceanographic conditions.
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