Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models
There is still little experience on the effect of the Manning roughness coefficient in coupled hydrological-hydraulic distributed models based on the solution of the Shallow Water Equations (SWE), where the Manning coefficient affects not only channel flow on the basin hydrographic network but also...
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MDPI AG
2021-12-01
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Online Access: | https://www.mdpi.com/2073-4441/13/23/3433 |
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author | Marcos Sanz-Ramos Ernest Bladé Fabián González-Escalona Gonzalo Olivares José Luis Aragón-Hernández |
author_facet | Marcos Sanz-Ramos Ernest Bladé Fabián González-Escalona Gonzalo Olivares José Luis Aragón-Hernández |
author_sort | Marcos Sanz-Ramos |
collection | DOAJ |
description | There is still little experience on the effect of the Manning roughness coefficient in coupled hydrological-hydraulic distributed models based on the solution of the Shallow Water Equations (SWE), where the Manning coefficient affects not only channel flow on the basin hydrographic network but also rainfall-runoff processes on the hillslopes. In this kind of model, roughness takes the role of the concentration time in classic conceptual or aggregated modelling methods, as is the case of the unit hydrograph method. Three different approaches were used to adjust the Manning roughness coefficient in order to fit the results with other methodologies or field observations—by comparing the resulting time of concentration with classic formulas, by comparing the runoff hydrographs obtained with aggregated models, and by comparing the runoff water volumes with observations. A wide dispersion of the roughness coefficients was observed to be generally much higher than the common values used in open channel flow hydraulics. |
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format | Article |
id | doaj.art-aa6256ef21af4b80b3264fa77716a695 |
institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-03-10T04:42:42Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Water |
spelling | doaj.art-aa6256ef21af4b80b3264fa77716a6952023-11-23T03:15:30ZengMDPI AGWater2073-44412021-12-011323343310.3390/w13233433Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed ModelsMarcos Sanz-Ramos0Ernest Bladé1Fabián González-Escalona2Gonzalo Olivares3José Luis Aragón-Hernández4Flumen Institute, Universitat Politècnica de Catalunya (UPC)-International Centre of Numerical Methods in Engineering (CIMNE), 08034 Barcelona, SpainFlumen Institute, Universitat Politècnica de Catalunya (UPC)-International Centre of Numerical Methods in Engineering (CIMNE), 08034 Barcelona, SpainDivisión de Ingenierías Civil y Geomática, Facultad de Ingeniería, Universidad Nacional de México (UNAM), Ciudad de México 04510, MexicoFlumen Institute, Universitat Politècnica de Catalunya (UPC)-International Centre of Numerical Methods in Engineering (CIMNE), 08034 Barcelona, SpainDivisión de Ingenierías Civil y Geomática, Facultad de Ingeniería, Universidad Nacional de México (UNAM), Ciudad de México 04510, MexicoThere is still little experience on the effect of the Manning roughness coefficient in coupled hydrological-hydraulic distributed models based on the solution of the Shallow Water Equations (SWE), where the Manning coefficient affects not only channel flow on the basin hydrographic network but also rainfall-runoff processes on the hillslopes. In this kind of model, roughness takes the role of the concentration time in classic conceptual or aggregated modelling methods, as is the case of the unit hydrograph method. Three different approaches were used to adjust the Manning roughness coefficient in order to fit the results with other methodologies or field observations—by comparing the resulting time of concentration with classic formulas, by comparing the runoff hydrographs obtained with aggregated models, and by comparing the runoff water volumes with observations. A wide dispersion of the roughness coefficients was observed to be generally much higher than the common values used in open channel flow hydraulics.https://www.mdpi.com/2073-4441/13/23/3433basin hydrologynumerical modellingrainfall-runoff-overland flow modelscoupled hydrological-hydraulic distributed modellingManning roughness coefficient |
spellingShingle | Marcos Sanz-Ramos Ernest Bladé Fabián González-Escalona Gonzalo Olivares José Luis Aragón-Hernández Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models Water basin hydrology numerical modelling rainfall-runoff-overland flow models coupled hydrological-hydraulic distributed modelling Manning roughness coefficient |
title | Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models |
title_full | Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models |
title_fullStr | Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models |
title_full_unstemmed | Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models |
title_short | Interpreting the Manning Roughness Coefficient in Overland Flow Simulations with Coupled Hydrological-Hydraulic Distributed Models |
title_sort | interpreting the manning roughness coefficient in overland flow simulations with coupled hydrological hydraulic distributed models |
topic | basin hydrology numerical modelling rainfall-runoff-overland flow models coupled hydrological-hydraulic distributed modelling Manning roughness coefficient |
url | https://www.mdpi.com/2073-4441/13/23/3433 |
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