Preprints
https://doi.org/10.5194/egusphere-2025-1966
https://doi.org/10.5194/egusphere-2025-1966
13 May 2025
 | 13 May 2025
Status: this preprint is open for discussion and under review for SOIL (SOIL).

Assessing the impact of rewetting agricultural fen peat soil via open drain damming: an agrogeophysical approach

Dave O'Leary, Patrick Tuohy, Owen Fenton, Mark G. Healy, Hilary Pierce, Asaf Shnel, and Eve Daly

Abstract. Open drainage ditch (i.e. open drain) damming aims to raise the water table in agricultural grassland peat soils thereby reducing greenhouse gas (GHG) emissions. A current knowledge gap is how to examine the spatial and temporal effectiveness of such an action i.e., assessing the behaviour of the water table in the adjoining field. To address this gap, at a drained agricultural grassland site with shallow fen peat soils (ranging from 0 to 2 m depth), water level in an open drain was raised by installing a dam. Associated changes to the water table depth (WTD) were monitored using two nests of dip wells installed at two locations (Rewetted and Normal areas) in the adjoining field. Soil profile volumetric water content (VWC) data were obtained in these two areas in addition to the temperature, salinity, pH, and electrical conductivity signature of the water in the open drain. These data were integrated with geophysical (electromagnetic induction (EMI)) survey data conducted during summer and winter. Results from the dip wells (located > 20 m from dam) indicated that no measurable change in WTD occurred due to the dam installation, aligning with previous studies suggesting limited spatial influence in agricultural fen peat soils. VWC profiles, while consistent with peat physical properties, showed no deviation attributable to drain damming. The EMI results identified a distinct zone with electrical conductivity values similar to those of open drain water, suggesting localised water infiltration within ~20 m of the dammed drain during summer. This spatial impact was less evident during winter, likely due to increased precipitation and regional groundwater influence. This study demonstrates that EMI surveys, shown here in combination with other high-resolution data capture, can detect rewetting effects when combined with neural network clustering and Multi-Cluster Average Standard Deviation analysis, highlighting its value for rapid site assessment. Moreover, the results underscore the importance of survey timing, as summer measurements provided clearer evidence of drain damming impact than winter measurements.

Competing interests: The lead author (Dave O’Leary) is a member of the guest editorial board for this EGU SOIL Special Issue on AgroGeophysics.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Dave O'Leary, Patrick Tuohy, Owen Fenton, Mark G. Healy, Hilary Pierce, Asaf Shnel, and Eve Daly

Status: open (until 14 Jul 2025)

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Dave O'Leary, Patrick Tuohy, Owen Fenton, Mark G. Healy, Hilary Pierce, Asaf Shnel, and Eve Daly
Dave O'Leary, Patrick Tuohy, Owen Fenton, Mark G. Healy, Hilary Pierce, Asaf Shnel, and Eve Daly

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Short summary
We assess the impact of open drain damming to help restore drained peat soils. We measured how water levels and soil moisture changed over time and space using field sensors and geophysical mapping tools. Our results show that the impact of damming is limited to < 20 m on our site. This approach could support efforts to reduce carbon loss and improve the health of peatland landscapes in a practical, scalable way
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