measure and record tidal information in coastal areas, offering real-time data on water levels, tides, and wave heights for researchers, meteorologists, coastal managers, and others to monitor and analyze coastal conditions
pressure-sensors
1. piezometric Sensors
Pressure sensors, such as pressure transducers or piezoresistive sensors, are often used in tide gauges. These sensors measure the water pressure at a specific depth, which is proportional to the water depth. The pressure readings are then converted into water level measurements
radar-sensors
2. Radar Sensors
Radar-based tide gauges use radio waves to measure the distance between the sensor and the water surface. By measuring the round-trip travel time of the radar signal, the water level can be determined. Radar sensors are often used in areas where the water level fluctuations are significant or where other sensors may be prone to damage.
ultrasonic-sensors
3. Ultrasonic Sensors
Ultrasonic sensors use high-frequency sound waves to measure the distance between the sensor and the water surface. By calculating the time it takes for the sound wave to travel to the water surface and back, the water level can be determined.
data-logger
4. Data Loggers
Data loggers are essential components of real-time tide gauges, consistently recording sensor measurements and storing them for future analysis. These loggers typically have internal memory and are equipped with a 'State of Health' feature, which helps detect hardware issues and streamlines maintenance.
communication-systems
5. Communication Systems
For real-time data transmission, tide gauges employ telemetry systems, which encompass satellite communication, cellular networks, or radio frequency transmission. These communication systems transmit the recorded data from the data logger to a cloud-based database, making it accessible to users after processing.
data-display
6. Data Interpretation and Visual Display:
The gathered data is carefully processed and analyzed to uncover valuable insights. We employ advanced algorithms and statistical techniques to spot trends, unusual occurrences, and patterns within the data. Typically, these findings are visually presented using charts, graphs, or reports, making it easier for researchers, environmental managers, and policymakers to make informed decisions.
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