Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Senior Lecturer in Visualization

XReality, Visualization and
Analytics (XRVA) Lab

Visualization, Data, Modelling and
Graphics (VDMG) research group,

School of Computer Science
and Engineering,

Bangor University,
Dean Street, Bangor,
Gwynedd, UK, LL57 1UT

LUCST: A novel toolkit for Land Use Land Cover change assessment in SWAT+ to support flood management decisions

Teaser for LUCST: A novel toolkit for Land Use Land Cover change assessment in SWAT+ to support flood management decisions

Abstract

Land Use Land Cover (LULC) change is widely recognised as one of the most important factors impacting the hydrological response of river basins. SWAT +, the latest version of the Soil and Water Assessment Tool, has been used extensively to assess the hydrological impacts of LULC change. However, the process of making and assessing such changes in SWAT+ is often cumbersome and non-intuitive, thereby reducing its usability amongst a wider pool of applied users. We address this issue by developing a user-friendly toolkit, Land Use Change SWAT+ Toolkit (LUCST), that will: (1) allow the end-user to define various LULC change scenarios in their study catchment, (2) run the SWAT+ model with the specified LULC changes, and (3) enable interactive visualisation of the different SWAT+ output variables. A good System Usability Score (79.8) and positive feedback from end-users promises the potential for adopting LUCST in future LULC change studies.

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Citation

A. M. F. Rigby, P. W. S. Butcher, P. D. Ritsos, and S. D. Patil, “LUCST: A novel toolkit for Land Use Land Cover change assessment in SWAT+ to support flood management decisions,” Environmental Modelling & Software, vol. 156, no. 105469, Aug. 2022.  doi:10.1016/j.envsoft.2022.105469

Bibtex

@article{Rigby-et-al-EnvModSoft-2022,
  title = {LUCST: A novel toolkit for Land Use Land Cover change assessment in SWAT+ to support flood management decisions},
  journal = {Environmental Modelling \& Software},
  number = {105469},
  year = {2022},
  issn = {1364-8152},
  volume = {156},
  publisher = {Elsevier},
  month = aug,
  doi = {10.1016/j.envsoft.2022.105469},
  author = {Rigby, Alexander M.F. and Butcher, Peter W.S. and Ritsos, Panagiotis D. and Patil, Sopan D.}
}