The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain
The accurate estimation of flood risk depends on, among other factors, a correct delineation of the floodable area and its associated hydrodynamic parameters. This characterization becomes fundamental in the flood hazard analyses that are carried out in urban areas. To achieve this objective, it is...
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MDPI AG
2021-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/19/9267 |
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| author | Julio Garrote Miguel González-Jiménez Carolina Guardiola-Albert Andrés Díez-Herrero |
| author_facet | Julio Garrote Miguel González-Jiménez Carolina Guardiola-Albert Andrés Díez-Herrero |
| author_sort | Julio Garrote |
| collection | DOAJ |
| description | The accurate estimation of flood risk depends on, among other factors, a correct delineation of the floodable area and its associated hydrodynamic parameters. This characterization becomes fundamental in the flood hazard analyses that are carried out in urban areas. To achieve this objective, it is necessary to have a correct characterization of the topography, both inside the riverbed (bathymetry) and outside it. Outside the riverbed, the LiDAR data led to an important improvement, but not so inside the riverbed. To overcome these deficiencies, different models with simplified bathymetry or modified inflow hydrographs were used. Here, we present a model that is based upon the calibration of the Manning’s <i>n</i> value inside the riverbed. The use of abnormally low Manning’s <i>n</i> values made it possible to reproduce both the extent of the flooded area and the flow depth value within it (outside the riverbed) in an acceptable manner. The reduction in the average error in the flow depth value from 50–75 cm (models without bathymetry and “natural” Manning’s <i>n</i> values) to only about 10 cm (models without bathymetry and “calibrated” Manning’s <i>n</i> values), was propagated towards a reduction in the estimation of direct flood damage, which fell from 25–30% to about 5%. |
| first_indexed | 2024-03-10T07:06:11Z |
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| id | doaj.art-e1069f8888074e5cbe8ce6af4de02e85 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:06:11Z |
| publishDate | 2021-10-01 |
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| spelling | doaj.art-e1069f8888074e5cbe8ce6af4de02e852023-11-22T15:50:12ZengMDPI AGApplied Sciences2076-34172021-10-011119926710.3390/app11199267The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in SpainJulio Garrote0Miguel González-Jiménez1Carolina Guardiola-Albert2Andrés Díez-Herrero3Department of Geodynamics, Stratigraphy, and Paleontology, Faculty of Geology, Complutense University of Madrid, 28040 Madrid, SpainGeological Hazards Division, Geological Survey of Spain (IGME, CSIC), 28003 Madrid, SpainGeological Hazards Division, Geological Survey of Spain (IGME, CSIC), 28003 Madrid, SpainGeological Hazards Division, Geological Survey of Spain (IGME, CSIC), 28003 Madrid, SpainThe accurate estimation of flood risk depends on, among other factors, a correct delineation of the floodable area and its associated hydrodynamic parameters. This characterization becomes fundamental in the flood hazard analyses that are carried out in urban areas. To achieve this objective, it is necessary to have a correct characterization of the topography, both inside the riverbed (bathymetry) and outside it. Outside the riverbed, the LiDAR data led to an important improvement, but not so inside the riverbed. To overcome these deficiencies, different models with simplified bathymetry or modified inflow hydrographs were used. Here, we present a model that is based upon the calibration of the Manning’s <i>n</i> value inside the riverbed. The use of abnormally low Manning’s <i>n</i> values made it possible to reproduce both the extent of the flooded area and the flow depth value within it (outside the riverbed) in an acceptable manner. The reduction in the average error in the flow depth value from 50–75 cm (models without bathymetry and “natural” Manning’s <i>n</i> values) to only about 10 cm (models without bathymetry and “calibrated” Manning’s <i>n</i> values), was propagated towards a reduction in the estimation of direct flood damage, which fell from 25–30% to about 5%.https://www.mdpi.com/2076-3417/11/19/9267flood riskcultural heritage sitesbathymetric datamanning’s roughness coefficienthydrodynamic modelling |
| spellingShingle | Julio Garrote Miguel González-Jiménez Carolina Guardiola-Albert Andrés Díez-Herrero The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain Applied Sciences flood risk cultural heritage sites bathymetric data manning’s roughness coefficient hydrodynamic modelling |
| title | The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain |
| title_full | The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain |
| title_fullStr | The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain |
| title_full_unstemmed | The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain |
| title_short | The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain |
| title_sort | manning s roughness coefficient calibration method to improve flood hazard analysis in the absence of river bathymetric data application to the urban historical zamora city centre in spain |
| topic | flood risk cultural heritage sites bathymetric data manning’s roughness coefficient hydrodynamic modelling |
| url | https://www.mdpi.com/2076-3417/11/19/9267 |
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