Preprints
https://doi.org/10.5194/essd-2023-402
https://doi.org/10.5194/essd-2023-402
22 Dec 2023
 | 22 Dec 2023
Status: this preprint is currently under review for the journal ESSD.

Soil hydraulic and hydrological data from seven field sites in the Thames catchment, UK, 2021

John Robotham, Emily Trill, James Blake, Ponnambalam Rameshwaran, Peter Scarlett, Gareth Old, and Joanna Clark

Abstract. Observational data of soil physical and hydraulic properties are important for improving our understanding of hydrological processes. This is particularly relevant given current interest in the potential of land-based “natural flood management” measures (and related concepts: “nature-based solutions” and “working with natural processes”) to reduce flood risk. Therefore, a detailed survey of seven field sites under different land-uses and management practices in the Thames catchment, UK, was undertaken as part of the “LANDWISE” project. Measurements (n = 1300) included soil bulk density, estimated porosity, soil moisture and soil moisture retention, surface infiltration rate, and saturated hydraulic conductivity. Field sites comprised three arable fields on shallow soils over Limestone, two arable fields on free draining loamy soils over Chalk, and permanent grassland and broadleaf woodland on slowly permeable soil over Mudstone. Soil sampling points covered infield areas, trafficked areas (e.g. tramlines), and untrafficked margins. Samples were generally taken at five depths ranging from the soil surface to 100 cm below ground level. Soil saturated hydraulic conductivity measurements were made at 25 and 45 cm depths. Soil samples and measurements were taken between April and October 2021, with repeats taken pre- and post-harvest (arable sites). These data provide valuable insight into the hydrological behaviour of soils under contrasting management, including both conventional and innovative agricultural practices (e.g. herbal leys, mob grazing and controlled traffic). Dataset applications include: improving the performance of hydrological and land surface models, and validation of remotely-sensed soil observations. The dataset is publicly available at https://doi.org/10.5285/a32f775b-34dd-4f31-aafa-f88450eb7a90 (Trill et al., 2022).

John Robotham, Emily Trill, James Blake, Ponnambalam Rameshwaran, Peter Scarlett, Gareth Old, and Joanna Clark

Status: open (until 03 Apr 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
John Robotham, Emily Trill, James Blake, Ponnambalam Rameshwaran, Peter Scarlett, Gareth Old, and Joanna Clark
John Robotham, Emily Trill, James Blake, Ponnambalam Rameshwaran, Peter Scarlett, Gareth Old, and Joanna Clark

Viewed

Total article views: 279 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
243 24 12 279 13 15
  • HTML: 243
  • PDF: 24
  • XML: 12
  • Total: 279
  • BibTeX: 13
  • EndNote: 15
Views and downloads (calculated since 22 Dec 2023)
Cumulative views and downloads (calculated since 22 Dec 2023)

Viewed (geographical distribution)

Total article views: 273 (including HTML, PDF, and XML) Thereof 273 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Mar 2024
Download
Short summary
There is currently limited evidence about how land-based “Natural Flood Management” measures affect soil properties. We therefore measured soil physical and hydraulic properties (n=1300) at seven field sites (Thames catchment, UK). The sites cover a range of geologies, land use and management. Dataset applications include hydrological and land surface modelling and validation of remote sensing observations. The dataset also provides a baseline against which future soil changes may be compared.
Altmetrics