The University of Sheffield
Browse
TEXT
Trial_V.dat (137.17 kB)
DOCUMENT
ET_Water_Paper_DataSet_README.pdf (7.54 MB)
TEXT
Trial_I.dat (149.14 kB)
TEXT
Trial_II.dat (137.92 kB)
TEXT
Trial_III.dat (132.2 kB)
TEXT
Trial_IV.dat (137.13 kB)
1/0
6 files

Urban Green DaMS: Evapotranspiration in Bioretention Systems Data

dataset
posted on 2024-01-22, 15:00 authored by Simon De-Ville, Virginia StovinVirginia Stovin

A full description of the data and experimental methods used to obtain it is presented in the README file.


Abstract of article

Evapotranspiration is a key hydrological process for reducing stormwater runoff in bioretention systems, regardless of their physical configuration. Understanding the volumes of stormwater that can be returned to the atmosphere via evapotranspiration is, therefore, a key consideration in the design of any bioretention system. This study establishes the evapotranspiration dynamics of three common, structurally different, bioretention vegetation treatments (an Amenity Grass mix, and mono-cultures of Deschampsia cespitosa and Iris sibirica) compared with an un-vegetated control using lab-scale column experiments. Via continuous mass and moisture loss data, observed evapotranspiration rates were compared with those predicted by the FAO-56 Penman–Monteith model for five 14-day dry periods during Spring 2021, Summer 2021, and Spring 2022. Soil moisture reductions over the 14-day trials led to reduced rates of evapotranspiration. This necessitated the use of a soil moisture extraction function alongside a crop coefficient to represent actual evapotranspiration from FAO-56 Penman–Monteith reference evapotranspiration estimates. Crop coefficients varied between 0.65 and 2.91, with a value of 1.0 identified as a recommended default value in the absence of treatment-specific empirical data. A continuous hydrological model with [] and a loading ratio of 10:1 showed that evapotranspiration could account for between 1 and 12% of the annual water budget for a bioretention system located in the UK and Ireland, increasing to a maximum of 35% when using the highest  observed (2.91).



Funding

Urban Green DaMS (Design and Modelling of SuDS)

Engineering and Physical Sciences Research Council

Find out more...

History

Ethics

  • There is no personal data or any that requires ethical approval

Policy

  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The data requires access restrictions, explained in the description field, files not attached

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • There is a file including methodology, headings and units, such as a readme.txt

Usage metrics

    Department of Civil and Structural Engineering

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC