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Andreas Persson

Andreas Persson

Senior lecturer

Andreas Persson

Dynamic spatio‐temporal flow modeling with raster DEMs

Author

  • Hampus Nilsson
  • Petter Pilesjö
  • Abdulghani Hasan
  • Andreas Persson

Summary, in English

A user-friendly high-resolution intermediate complexity dynamic and spatially distributed flow model is crucial in urban flood modeling. Planners and consultants need to improve the accuracy of floods and estimation of risks. A new flow model will serve as a rapid tool to improve identification of these. This article provides a detailed explanation of a model based on a multiple flow algorithm. Model testing was performed on selected urban and rural areas. Additionally, a sensitivity analysis is conducted to analyze functionality. The model includes basic hydrological processes and is therefore less complex than fully physical models. The data needed to set up and run the new model include spatially and temporally distributed basic geometric and hydrologic variables (i.e., digital elevation model, precipitation, infiltration, and surface roughness). The model is implemented using open-source coding and can easily be applied to any selected area. Outputs are water volumes, depths, and velocities at different modeling times. Using GIS, results can be visualized and utilized for further analyses. The test, applied in urban as well as rural areas, demonstrates its user-friendliness, and that the estimated distributed water depths and water velocity at any time step can be saved and visualized.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • Centre for Geographical Information Systems (GIS Centre)
  • Middle Eastern Studies

Publishing year

2022

Language

English

Pages

1572-1588

Publication/Series

Transactions in GIS

Volume

26

Issue

3

Document type

Journal article

Publisher

Wiley-Blackwell

Topic

  • Physical Geography
  • Earth and Related Environmental Sciences
  • Oceanography, Hydrology, Water Resources

Status

Published

ISBN/ISSN/Other

  • ISSN: 1467-9671