Mansour, Majdi
ORCID: https://orcid.org/0000-0003-3058-8864; Christelis, Vasileios
ORCID: https://orcid.org/0000-0003-4345-2528.
2021
Pilot description and assessment : Devonian / Carboniferous Limestone aquifer aquifer (United Kingdom).
GeoERA, 52pp.
(TACTIC Groundwater Deliverable 4.2)
(Unpublished)
Abstract
This report describes the work undertaken by the British Geological Survey (BGS/UKRI) as a part
of TACTIC WP4 to calculate historical and future groundwater recharge across the outcrop of
Devonian / Carboniferous Limestone aquifer and at selected observation boreholes within these
aquifers. Multiple tools, selected from the TACTIC toolbox that is developed undert WP2 of the
TACTIC project, have been used for this purpose.
The Carboniferous Limestone aquifer in England and Wales include a wide variety of rock types
that are fractured and well developed as aquifers in some areas. Where it is a major aquifer, the
Carboniferous Limestone aquifer exhibit ‘karstic’ hydrogeological behaviour. The Devonian
sediments of south Wales and the Welsh borderlands are continental deposits known as the Old
Red Sandstone facies. In Scotland, the Devonian sandstones in Fife and eastern Scotland are one
of the most productive bedrock aquifers in Scotland (Macdonald et al., 2005).
Three tools have been used to estimate the recharge values. These are the lumped parameter
computer model AquiMod (Mackay et al., 2014a), the transfer function-noise model Metran
(Zaadnoordijk et al., 2019), and the distributed recharge model is developed ZOODRM (Mansour
and Hughes, 2004). Future climate scenarios are developed based on the ISIMIP (Inter Sectoral
Impact Model Inter-comparison Project (www.isimip.org) datasets. The resolution of the data is
0.5°x0.5°C global grid and at daily time steps. As part of ISIMIP, much effort has been made to
standardise the climate data (e.g. bias correction).
The estimation of the recharge model using the lumped model AquiMod is achieved by running
the model in Monte Carlo mode. This produces many runs that are equally acceptable and
consequently the uncertainty in the estimated recharge values can be assessed. The application
of additional tools provides an additional mean to assess this uncertainty. Groundwater data at
three boreholes are used in this model. The differences between the 75th and 25th percentile
recharge values are found to be between 15% and 26%, which indicates a relatively high degree
of uncertainty. In addition, the recharge values estimated using the distributed recharge model
are found to be significantly higher than those estimated using the lumped model. It must be
noted that the distributed recharge model calculates potential recharge while the lumped model
calculates actual recharge. The absolute recharge values calculated by the transfer functionnoise model Metran are also different from those calculated by the lumped model. The transfer
function model estimates lower values at two boreholes and higher values at the third borehole.
Future recharge values calculated using the projected rainfall and potential evaporation values
are -3.5 to 12.5% different from historical values on average. The 3o Max scenario, the wettest
used in this work, produces values that are very different from the historical ones. This is
observed in the output of both the lumped and the distributed models. Finally, future estimates
are discussed in this report using long term average recharge values. It is recommended to carry
out further analysis to these output in order to understand the temporal changes in recharge
values in future, especially over the different seasons. In addition, it is recommended that the
values and conclusion produced from this work should be compared to those obtained from
different studies that applies future climate data obtained from different climate models.
Information
Programmes:
BGS Programmes 2020 > Environmental change, adaptation & resilience
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