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Correction of Water Level Data for Barometric Pressure Fluctuations

Written by STS | Jun 23, 2025 1:22:23 PM

Barometric pressure fluctuations can significantly distort water level measurements. A project in Namibia demonstrates how modern pressure sensors and the analysis of barometric efficiency (BE) and response function (BRF) help obtain accurate groundwater data.

Project Context: Otavi Karst in Northern Namibia

Located in the southeastern part of the Otavi Plateau in Northern Namibia is one of the country's most significant karst aquifers. An international research team deployed four level probes over ten months to better understand the water level dynamics.

Fig. 1: Geological profile of the Otavi karst plateau

Groundwater Flow and Measurement Network

Piezometry revealed a main recharge zone in the topographically highest area. Precipitation infiltrates here, feeding the karst system, which drains in various directions through fractures and cavities. A measurement campaign with four transducers was conducted at Harasib Farm.

Fig. 2: Piezometric map with measurement points (February 2007)

Barometric Efficiency and Response Function

Using BETCO software, raw data were corrected for barometric influences. The result: a clearer representation of actual groundwater movement. The barometric efficiency initially ranged from 0.55 to 0.61 and decreased over time.

Fig. 3: Water level data during dry season (Sept. – Jan.) Fig. 4: Differences between air pressure and water level

The barometric response function (BRF) describes how water levels adjust to sudden pressure changes. Notably, Dragon’s Breath and Harasib Lake show similar curves — indicating hydraulic connection and an unstressed system with double porosity.

Fig. 5: Barometric response function for three measurement stations

Earth Tides Effects

Hourly water level data showed cyclic fluctuations in a 10–12-hour rhythm caused by tidal forces, which alter pore volume and induce pressure variations in the groundwater.

Fig. 6: Cyclic water level fluctuations in an underground lake Fig. 7: Harmonic analysis of water level measurements Fig. 8: Tide components (in ft) at each measurement point

Conclusion

The data collected from the Otavi karst vividly demonstrate how atmospheric pressure and earth tides influence groundwater level interpretation. Correcting for barometric effects significantly improved data quality. The study confirmed the presence of a deep, unstressed, and well-permeable aquifer with a rapid response to rainfall events. Modern pressure transducers like those from STS provide reliable long-term monitoring even under challenging conditions.