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Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study
Sediment-dynamics modeling is a useful tool for estimating a dam’s lifespan and its cost–benefit analysis. Collecting real data for sediment-dynamics analysis from conventional field survey methods is both tedious and expensive. Therefore, for most rivers, the historical record of data is either mis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383045/ https://www.ncbi.nlm.nih.gov/pubmed/28384361 http://dx.doi.org/10.1371/journal.pone.0174931 |
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author | Bilal, Ahmed Dai, Wenhong Larson, Magnus Beebo, Qaid Naamo Xie, Qiancheng |
author_facet | Bilal, Ahmed Dai, Wenhong Larson, Magnus Beebo, Qaid Naamo Xie, Qiancheng |
author_sort | Bilal, Ahmed |
collection | PubMed |
description | Sediment-dynamics modeling is a useful tool for estimating a dam’s lifespan and its cost–benefit analysis. Collecting real data for sediment-dynamics analysis from conventional field survey methods is both tedious and expensive. Therefore, for most rivers, the historical record of data is either missing or not very detailed. Available data and existing tools have much potential and may be used for qualitative prediction of future bathymetric change trend. This study shows that proxy approaches may be used to increase the spatiotemporal resolution of flow data, and hypothesize the river cross-sections and sediment data. Sediment-dynamics analysis of the reach of the Tenryu River upstream of Sakuma Dam in Japan was performed to predict its future bathymetric changes using a 1D numerical model (HEC-RAS). In this case study, only annually-averaged flow data and the river’s longitudinal bed profile at 5-year intervals were available. Therefore, the other required data, including river cross-section and geometry and sediment inflow grain sizes, had to be hypothesized or assimilated indirectly. The model yielded a good qualitative agreement, with an R(2) (coefficient of determination) of 0.8 for the observed and simulated bed profiles. A predictive simulation demonstrated that the useful life of the dam would end after the year 2035 (±5 years), which is in conformity with initial detailed estimates. The study indicates that a sediment-dynamic analysis can be performed even with a limited amount of data. However, such studies may only assess the qualitative trends of sediment dynamics. |
format | Online Article Text |
id | pubmed-5383045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53830452017-05-03 Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study Bilal, Ahmed Dai, Wenhong Larson, Magnus Beebo, Qaid Naamo Xie, Qiancheng PLoS One Research Article Sediment-dynamics modeling is a useful tool for estimating a dam’s lifespan and its cost–benefit analysis. Collecting real data for sediment-dynamics analysis from conventional field survey methods is both tedious and expensive. Therefore, for most rivers, the historical record of data is either missing or not very detailed. Available data and existing tools have much potential and may be used for qualitative prediction of future bathymetric change trend. This study shows that proxy approaches may be used to increase the spatiotemporal resolution of flow data, and hypothesize the river cross-sections and sediment data. Sediment-dynamics analysis of the reach of the Tenryu River upstream of Sakuma Dam in Japan was performed to predict its future bathymetric changes using a 1D numerical model (HEC-RAS). In this case study, only annually-averaged flow data and the river’s longitudinal bed profile at 5-year intervals were available. Therefore, the other required data, including river cross-section and geometry and sediment inflow grain sizes, had to be hypothesized or assimilated indirectly. The model yielded a good qualitative agreement, with an R(2) (coefficient of determination) of 0.8 for the observed and simulated bed profiles. A predictive simulation demonstrated that the useful life of the dam would end after the year 2035 (±5 years), which is in conformity with initial detailed estimates. The study indicates that a sediment-dynamic analysis can be performed even with a limited amount of data. However, such studies may only assess the qualitative trends of sediment dynamics. Public Library of Science 2017-04-06 /pmc/articles/PMC5383045/ /pubmed/28384361 http://dx.doi.org/10.1371/journal.pone.0174931 Text en © 2017 Bilal et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bilal, Ahmed Dai, Wenhong Larson, Magnus Beebo, Qaid Naamo Xie, Qiancheng Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study |
title | Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study |
title_full | Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study |
title_fullStr | Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study |
title_full_unstemmed | Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study |
title_short | Qualitative simulation of bathymetric changes due to reservoir sedimentation: A Japanese case study |
title_sort | qualitative simulation of bathymetric changes due to reservoir sedimentation: a japanese case study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383045/ https://www.ncbi.nlm.nih.gov/pubmed/28384361 http://dx.doi.org/10.1371/journal.pone.0174931 |
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