Dynamic spatio‐temporal flow modeling with raster DEMs
Nilsson, Hampus LU ; Pilesjö, Petter LU ; Hasan, Abdulghani LU
and Persson, Andreas
LU
(2022)
In Transactions in GIS
26(3).
p.1572-1588
- Abstract
- 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... (More)
- 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. (Less)
- Abstract (Swedish)
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d7e46256-e55f-427d-929c-7e11ff360d27
- author
- Nilsson, Hampus
LU
; Pilesjö, Petter
LU
; Hasan, Abdulghani
LU
and Persson, Andreas
LU
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Transactions in GIS
- volume
- 26
- issue
- 3
- pages
- 1572 - 1588
- publisher
- Wiley-Blackwell
- external identifiers
-
- scopus:85119275124
- ISSN
- 1467-9671
- DOI
- 10.1111/tgis.12870
- language
- English
- LU publication?
- yes
- id
- d7e46256-e55f-427d-929c-7e11ff360d27
- date added to LUP
- 2021-11-22 10:59:45
- date last changed
- 2023-05-10 11:46:56
@article{d7e46256-e55f-427d-929c-7e11ff360d27,
abstract = {{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.}},
author = {{Nilsson, Hampus and Pilesjö, Petter and Hasan, Abdulghani and Persson, Andreas}},
issn = {{1467-9671}},
language = {{eng}},
number = {{3}},
pages = {{1572--1588}},
publisher = {{Wiley-Blackwell}},
series = {{Transactions in GIS}},
title = {{Dynamic spatio‐temporal flow modeling with raster DEMs}},
url = {{http://dx.doi.org/10.1111/tgis.12870}},
doi = {{10.1111/tgis.12870}},
volume = {{26}},
year = {{2022}},
}