Research Data Leeds Repository

Citation

Zhu, Qiuyu and Klaar, Megan J. and Willis, Thomas and Holden, Joseph (2024) Use of Spatially Distributed TOPMODEL to Assess Effectiveness of Diverse Natural Flood Management Techniques for a UK Catchment - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1628

Dataset description

Modelling data from SD-TOPMODEL for land cover types and NFM interventions in Upper Aire Catchment, Yorkshire, UK. The dataset includes selected model parameter values, Nash-Sutcliffe Efficiency (NSE) coefficients, peak discharge, and peak timing of the corresponding modelled results. Additionally, comparisons of results across various NFM scenarios are provided. All data collection and simulations were conducted during 2023–2024.

Keywords:	Hydrological modelling, model calibration, parameter sensitivity
Subjects:	F000 - Physical sciences > F800 - Physical geographical sciences > F840 - Physical geography
Divisions:	Faculty of Environment > School of Geography
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	09 Jan 2025 11:17
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1362
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Zhu, Qiuyu https://orcid.org/0000-0002-6373-9967 University of Leeds https://ror.org/024mrxd33 ror Klaar, Megan J. https://orcid.org/0000-0001-8920-4226 University of Leeds https://ror.org/024mrxd33 ror Willis, Thomas https://orcid.org/0000-0002-0252-9923 University of Leeds https://ror.org/024mrxd33 ror University of Oxford https://ror.org/052gg0110 ror Holden, Joseph https://orcid.org/0000-0002-1108-4831 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: gyqzh@leeds.ac.uk Last Modified: 10 Jan 2025 10:00

Files

Documentation

README_Qiuyu_2024.docx [27kB] README_Qiuyu_2024.docx [27kB] README_Qiuyu_2024.docx [27kB] Security: Anyone File name: README_Qiuyu_2024.docx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 27kB

Data

SD-TOPMODEL parameters sensitivity test [203kB] SD-TOPMODEL parameters sensitivity test [203kB] SD-TOPMODEL parameters sensitivity test [203kB] Security: Anyone File name: Sensitivity_test_results.xlsx Content type: Data Description: Sensitivity tests of SD-TOPMODEL: using fixed intervals where parameters (overland flow velocity Kv, soil hydraulic conductivity Ks, and soil active water storage depth m) were selected and paired within the multiplier test range for five sets of tests. Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 203kB

Summary of SD-TOPMODEL NFM scenario results [24kB] Summary of SD-TOPMODEL NFM scenario results [24kB] Summary of SD-TOPMODEL NFM scenario results [24kB] Security: Anyone File name: Summary_NFMscenario_results.xlsx Content type: Data Description: SD-TOPMODEL modelling results: peak discharge reduction and peak time delay.Seven NFM scenarios were compared against a land cover model with no NFM interventions applied, evaluating their effectiveness across seven storm events. Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 24kB