A Direct Solution Approach to the Inverse Shallow-Water Problem
The study of open channel flow modelling often requires an accurate representation of the channel bed topography to accurately predict the flow hydrodynamics. Experimental techniques are the most widely used approaches to measure the bed topographic elevation of open channels. However, they are usua...
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| Published in | Mathematical Problems in Engineering Vol. 2012; no. 2012; pp. 684 - 701-240 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Limiteds
01.01.2012
Hindawi Publishing Corporation John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1024-123X 1026-7077 1563-5147 1563-5147 |
| DOI | 10.1155/2012/417950 |
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| Abstract | The study of open channel flow modelling often requires an accurate representation of the channel bed topography to accurately predict the flow hydrodynamics. Experimental techniques are the most widely used approaches to measure the bed topographic elevation of open channels. However, they are usually cost and time consuming. Free surface measurement is, on the other hand, relatively easy to obtain using airborne photographic techniques. We present in this work an easy to implement and fast to solve numerical technique to identify the underlying bedrock topography from given free surface elevation data in shallow open channel flows. The main underlying idea is to derive explicit partial differential equations which govern this inverse reconstruction problem. The technique described here is a “one-shot technique” in the sense that the solution of the partial differential equation provides the solution to the inverse problem directly. The idea is tested on a set of artificial data obtained by first solving the forward problem governed by the shallow-water equations. Numerical results show that the channel bed topographic elevation can be reconstructed with a level of accuracy less than 3%. The method is also shown to be robust when noise is present in the input data. |
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| AbstractList | The study of open channel flow modelling often requires an accurate representation of the channel bed topography to accurately predict the flow hydrodynamics. Experimental techniques are the most widely used approaches to measure the bed topographic elevation of open channels. However, they are usually cost and time consuming. Free surface measurement is, on the other hand, relatively easy to obtain using airborne photographic techniques. We present in this work an easy to implement and fast to solve numerical technique to identify the underlying bedrock topography from given free surface elevation data in shallow open channel flows. The main underlying idea is to derive explicit partial differential equations which govern this inverse reconstruction problem. The technique described here is a “one‐shot technique” in the sense that the solution of the partial differential equation provides the solution to the inverse problem directly. The idea is tested on a set of artificial data obtained by first solving the forward problem governed by the shallow‐water equations. Numerical results show that the channel bed topographic elevation can be reconstructed with a level of accuracy less than 3%. The method is also shown to be robust when noise is present in the input data. |
| Author | Sellier, Mathieu Gessese, Alelign |
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| CitedBy_id | crossref_primary_10_1016_j_geomorph_2014_09_015 crossref_primary_10_1063_1_4973514 crossref_primary_10_1080_16000870_2021_1976907 crossref_primary_10_1016_j_camwa_2020_08_018 crossref_primary_10_1016_j_compfluid_2024_106321 crossref_primary_10_1029_2023WR035890 crossref_primary_10_1175_JTECH_D_18_0055_1 crossref_primary_10_1007_s00707_016_1576_7 crossref_primary_10_1007_s00033_021_01629_0 crossref_primary_10_1007_s00707_015_1477_1 crossref_primary_10_1080_24694452_2022_2154633 |
| Cites_doi | 10.1002/esp.1575 10.1002/1099-1085(20000815/30)14:11/12<2109::AID-HYP58>3.0.CO;2-1 10.1002/fld.2086 10.1061/(ASCE)0733-9429(2004)130:10(977) 10.1007/3-540-28438-9_22 10.1088/0266‐5611/27/2/025001 10.1201/b16998-190 10.1016/j.compfluid.2008.02.008 10.1002/(SICI)1096-9837(200002)25:2<209::AID-ESP84>3.0.CO;2-Z 10.1007/s00707‐011‐0599‐3 10.1007/s00791‐008‐0089‐x 10.1063/1.3211289 10.1063/1.2939404 10.1016/j.jcp.2005.02.006 |
| ContentType | Journal Article |
| Copyright | Copyright © 2012 Alelign Gessese and Mathieu Sellier. Copyright © 2012 Alelign Gessese and Mathieu Sellier. Alelign Gessese et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
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| Snippet | The study of open channel flow modelling often requires an accurate representation of the channel bed topography to accurately predict the flow hydrodynamics.... |
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| SubjectTerms | Algorithms Elevation Fluid flow Forward problem Free surfaces Inverse problems Inverse reconstruction Open channel flow Open channels Partial differential equations River beds Rivers Shallow water equations Studies Topography |
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| Title | A Direct Solution Approach to the Inverse Shallow-Water Problem |
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