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Data Publication

Hydraulic and hydrological data from surface and subsurface soils across the Thames catchment, UK, 2021

Trill, E. | Blake, J.R. | Robotham, J. | Scarlett, P. | Rameshwaran, P. | Old, G. | Clark, J.

NERC EDS Environmental Information Data Centre

(2022)

Descriptions

This dataset contains information about surface and sub-surface hydraulic and hydrological soil properties across the Thames (UK) catchment. Soil dry bulk density, estimated soil porosity, soil moisture and soil moisture retention (to 100 cm suction) were determined through laboratory analysis of soil samples collected at five depths between the surface and 100 cm below ground level (where possible). Surface soil infiltration rates were measured, and soil saturated hydraulic conductivity was calculated at 25 cm and 45 cm depths (where possible). Field scale point data were collected at seven sites in the Thames Catchment, with three sub-groups of sites under different land use and management practices. The first land management group included three arable fields in the Cotswolds, Gloucestershire, on shallow soils over Limestone with no grass in rotation, herbal leys in rotation or rye and clover in rotation. The second group included two arable fields in near Wantage, Oxfordshire, on free draining loamy soils over chalk with conventional management or controlled traffic. The final group included a permanent grassland and broadleaf woodland on slowly permeable soil over mudstone near Oxford, Oxfordshire. Data were collected in representative infield areas; trafficked areas (e.g. tramlines or animal tracks), and untrafficked margins. Samples and measurements were taken between April 2021 and October 2021, with repeats taken before and after harvest. Soil samples were collected using Eijkelkamp 07.53.SC sample ring kit with closed ring holder and the Edelman auger and Stony auger when required. Infiltration measurements were taken using Mini Disk Infiltrometers. Soil saturated hydraulic conductivity was measured using Guelph permeameters. Soil bulk density and porosity were calculated using oven drying methods. Soil moisture retention was calculated using an Eijelkamp Sandbox. This dataset was collected by UKCEH as part of the 'Land management in lowland catchments for integrated flood risk reduction' (LANDWISE) project. LANDWISE seeks to examine how land use and management can be used to reduce the risk of flooding for communities. LANDWISE is one of three projects comprising the Natural Environment Research Council Natural Flood Management Research Programme. The work was supported by the Natural Environment Research Council Grant NE/R004668/1.
Soil samples were collected using Eijkelkamp 07.53.SC sample ring kit with closed ring holder and the Edelman auger and Stony auger when required. Samples were collected within representative field areas, sealed in bags and refrigerated the same day as collection, prior to laboratory analysis. Soil bulk density and porosity were calculated using oven drying methods. Surface infiltration measurements were taken using Minidisk Infiltrometers. Soil saturated hydraulic conductivity was measured using Guelph Permeameters. Soil moisture retention was calculated using an Eijelkamp Sandbox. Measurements and samples were taken at nearby but offset locations to avoid errors from soil disturbance from previous measurements. Data were quality controlled by an independent assessor to flag any transcription errors or potentially spurious readings, checking against original field and lab sheets, then either correcting or removing the data as appropriate.

Keywords


Originally assigned keywords
Hydrology
Soil
Land use
Agriculture
Thames catchment
England
Soil properties
Surface
Sub-surface
Soil moisture retention
Soil bulk density
Soil porosity
Soil infiltration rate
Soil saturated hydraulic conductivity
LANDWISE
Land management
soil
hydraulics
soil moisture

MSL enriched keywords
sedimentary rock
limestone
chalk
mudstone
Measured property
porosity
Apparatus
analogue modelling
deformation experiments
Measured property
porosity

MSL enriched sub domains i

rock and melt physics
analogue modelling of geologic processes


Source publisher

NERC EDS Environmental Information Data Centre


DOI

10.5285/a32f775b-34dd-4f31-aafa-f88450eb7a90


Creators

Trill, E.

UK Centre for Ecology & Hydrology

ORCID:

https://orcid.org/0000-0002-6233-8942

Blake, J.R.

UK Centre for Ecology & Hydrology

ORCID:

https://orcid.org/0000-0002-1033-4712

Robotham, J.

UK Centre for Ecology & Hydrology

ORCID:

https://orcid.org/0000-0002-1223-8345

Scarlett, P.

UK Centre for Ecology & Hydrology

ORCID:

https://orcid.org/0000-0001-6242-8158

Rameshwaran, P.

UK Centre for Ecology & Hydrology

ORCID:

https://orcid.org/0000-0002-8972-953X

Old, G.

UK Centre for Ecology & Hydrology

ORCID:

https://orcid.org/0000-0002-4713-1070

Clark, J.

University of Reading

ORCID:

https://orcid.org/0000-0002-0412-8824


Contributors

Robotham, J.

ContactPerson

UK Centre for Ecology & Hydrology

ORCID:

https://orcid.org/0000-0002-1223-8345

UK Centre for Ecology & Hydrology

RightsHolder

UK Centre for Ecology & Hydrology

NERC EDS Environmental Information Data Centre

HostingInstitution

NERC EDS Environmental Information Data Centre


References

https://data-package.ceh.ac.uk/sd/a32f775b-34dd-4f31-aafa-f88450eb7a90.zip


Citation

Trill, E., Blake, J. R., Robotham, J., Scarlett, P., Rameshwaran, P., Old, G., & Clark, J. (2022). Hydraulic and hydrological data from surface and subsurface soils across the Thames catchment, UK, 2021. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/A32F775B-34DD-4F31-AAFA-F88450EB7A90


Dates

Submitted:

2022-11-11

Available:

2024-09-02


Language

en


Funding References

Funder name: Natural Environment Research Council

Funder identifier: https://ror.org/02b5d8509

Funder identifier type: ROR

Award number: NE/R004668/1

Award title: LANDWISE: LAND management in loWland catchments for Integrated flood riSk rEduction


Rights

This resource is available under the terms of the Open Government Licence


Spatial coordinates