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Is the existing methods sustainable? A hybrid approach to flood risk mapping
The hydraulic and integrated modeling approaches appear to stand out in the sequence of flood risk models that have been presented because of their predictive accuracy. The former has a high probability of under predicting and the latter has a high tendency to over-predict. This study proposed a met...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491653/ https://www.ncbi.nlm.nih.gov/pubmed/37693658 http://dx.doi.org/10.1016/j.mex.2023.102348 |
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author | Nkeki, Felix Ndidi Bello, Ehiaguina Innocent Agbaje, Ishola Ganiy |
author_facet | Nkeki, Felix Ndidi Bello, Ehiaguina Innocent Agbaje, Ishola Ganiy |
author_sort | Nkeki, Felix Ndidi |
collection | PubMed |
description | The hydraulic and integrated modeling approaches appear to stand out in the sequence of flood risk models that have been presented because of their predictive accuracy. The former has a high probability of under predicting and the latter has a high tendency to over-predict. This study proposed a methodological approach that combines the hydraulic and integrated models using analytical hierarchical raster fusion techniques to strengthen the weaknesses of the individual models. This study seeks to undertake a flood inundation model, a runoff model, and raster fusion models using GIS and HEC-RAS rain-on-grid methods to map flood risk in the Ona river basin of Ibadan city. • A hydraulic model was used to identify flood depth and inundation areas along a major stream channel, which was then extracted, rasterized, resampled, and reclassified to a spatial resolution of 5 m. • Several raster datasets (indicators) were created from land use, elevation, soil, and geological data layers using advanced GIS techniques. • AHP assisted raster data fusion model was used to combine all of the raster indicators into a single consolidated hybrid flood raster layer that revealed flood risk areas by magnitude. |
format | Online Article Text |
id | pubmed-10491653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104916532023-09-10 Is the existing methods sustainable? A hybrid approach to flood risk mapping Nkeki, Felix Ndidi Bello, Ehiaguina Innocent Agbaje, Ishola Ganiy MethodsX Earth and Planetary Science The hydraulic and integrated modeling approaches appear to stand out in the sequence of flood risk models that have been presented because of their predictive accuracy. The former has a high probability of under predicting and the latter has a high tendency to over-predict. This study proposed a methodological approach that combines the hydraulic and integrated models using analytical hierarchical raster fusion techniques to strengthen the weaknesses of the individual models. This study seeks to undertake a flood inundation model, a runoff model, and raster fusion models using GIS and HEC-RAS rain-on-grid methods to map flood risk in the Ona river basin of Ibadan city. • A hydraulic model was used to identify flood depth and inundation areas along a major stream channel, which was then extracted, rasterized, resampled, and reclassified to a spatial resolution of 5 m. • Several raster datasets (indicators) were created from land use, elevation, soil, and geological data layers using advanced GIS techniques. • AHP assisted raster data fusion model was used to combine all of the raster indicators into a single consolidated hybrid flood raster layer that revealed flood risk areas by magnitude. Elsevier 2023-08-25 /pmc/articles/PMC10491653/ /pubmed/37693658 http://dx.doi.org/10.1016/j.mex.2023.102348 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Earth and Planetary Science Nkeki, Felix Ndidi Bello, Ehiaguina Innocent Agbaje, Ishola Ganiy Is the existing methods sustainable? A hybrid approach to flood risk mapping |
title | Is the existing methods sustainable? A hybrid approach to flood risk mapping |
title_full | Is the existing methods sustainable? A hybrid approach to flood risk mapping |
title_fullStr | Is the existing methods sustainable? A hybrid approach to flood risk mapping |
title_full_unstemmed | Is the existing methods sustainable? A hybrid approach to flood risk mapping |
title_short | Is the existing methods sustainable? A hybrid approach to flood risk mapping |
title_sort | is the existing methods sustainable? a hybrid approach to flood risk mapping |
topic | Earth and Planetary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491653/ https://www.ncbi.nlm.nih.gov/pubmed/37693658 http://dx.doi.org/10.1016/j.mex.2023.102348 |
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