Water table depth monitoring extracted peatland, Latvia

Published: 13 October 2025| Version 1 | DOI: 10.17632/n4p64ffv73.1
Contributors:
Normunds Stivrins,
,
,

Description

This dataset contains continuous groundwater pressure and water table depth (WTD) monitoring data from the Kaigu peatland in Central Latvia, recorded between June 2023 and May 2025. The site represents a degraded, previously extracted peatland section characterized by diverse surface moisture and vegetation types according to the Greenhouse Gas Emission Site Types (GEST). The dataset included (1) raw absolute pressure data (cm H2O) from six monitoring wells, (2) barometric pressure data from the reference logger, (3) metadata on coordinates, installation elevations and installation data.

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Steps to reproduce

The dataset was collected in the Kaigu peatland, Central Latvia (56˚43' N, 23˚35' E), within a 16 ha section of a previously extracted peatland undergoing spontaneous recolonization. Six groundwater monitoring wells (WTD1-WTD6) were installed across contrasting Greenhouse Gas Emission Site Types (a.k.a GEST 5, 6, 15, 20). Each well contained a TD-Diver pressure transducer programmed to record absolute pressure every 30 min. One barometer was installed to capture true air pressure. Loggers were deployed in May 2023 and recorded until May 2025.All raw data were downloaded using Diver-Office software and exported to Excel format. Only minimal processing was applied - formatting timestamps to local time (UTC +2). No barometric or elevation corrections were applied, hence, values represent raw absolute pressure. Users can reproduce corrected water-table depth of hydraulic head using the provided barometric data. Here is provided (1) raw pressure data from six wells (30-resolution, 2023-2025), (2) reference barometric pressure dataset. The dataset supports hydrological modelling, ecohydrological analysis, and peatland rewetting design studies. It is fully compatible with standard modelling tools and can be integrated with meteorological datasets for precipitation-groundwater correlation analyses.

Categories

Hydrology, Wetlands, Hydrogeology, Water Monitoring, Peat

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