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New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph
The determination of characteristic flow velocity is a hydrodynamic problem needs to be solved in the application of geomorphologic instantaneous unit hydrograph (GIUH) for runoff simulation in areas with no or limited data. In this study, 120 watersheds are collected to construct a regression model...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775115/ https://www.ncbi.nlm.nih.gov/pubmed/31578394 http://dx.doi.org/10.1038/s41598-019-50723-x |
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author | Chen, Yingbing Shi, Peng Ji, Xiaomin Qu, Simin Zhao, Lanlan Dong, Fengcheng |
author_facet | Chen, Yingbing Shi, Peng Ji, Xiaomin Qu, Simin Zhao, Lanlan Dong, Fengcheng |
author_sort | Chen, Yingbing |
collection | PubMed |
description | The determination of characteristic flow velocity is a hydrodynamic problem needs to be solved in the application of geomorphologic instantaneous unit hydrograph (GIUH) for runoff simulation in areas with no or limited data. In this study, 120 watersheds are collected to construct a regression model; 85 of these basins are used for regression analysis, and the 35 remaining basins are utilized to verify the feasibility of the constructed model. Random forest algorithm is applied to screen out important geomorphologic factors from the 16 extracted factors that may affect flow velocity. Multivariate regression is used to establish the numerical relationship between velocity and the selected factors. Sensitivity analysis of each adopted factor in the constructed model is conducted using the LH-OAT method. The rationality and feasibility of the regression model are validated by comparing the flow velocity calculation with a previous approach, which is also calculated based on geomorphological parameters. Subsequently, the runoff simulation based on the GIUH model is evaluated using the proposed technique. Results demonstrate that the proposed formula possesses high fitting accuracy and can be easily used to calculate flow velocity and generate GIUH. |
format | Online Article Text |
id | pubmed-6775115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67751152019-10-09 New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph Chen, Yingbing Shi, Peng Ji, Xiaomin Qu, Simin Zhao, Lanlan Dong, Fengcheng Sci Rep Article The determination of characteristic flow velocity is a hydrodynamic problem needs to be solved in the application of geomorphologic instantaneous unit hydrograph (GIUH) for runoff simulation in areas with no or limited data. In this study, 120 watersheds are collected to construct a regression model; 85 of these basins are used for regression analysis, and the 35 remaining basins are utilized to verify the feasibility of the constructed model. Random forest algorithm is applied to screen out important geomorphologic factors from the 16 extracted factors that may affect flow velocity. Multivariate regression is used to establish the numerical relationship between velocity and the selected factors. Sensitivity analysis of each adopted factor in the constructed model is conducted using the LH-OAT method. The rationality and feasibility of the regression model are validated by comparing the flow velocity calculation with a previous approach, which is also calculated based on geomorphological parameters. Subsequently, the runoff simulation based on the GIUH model is evaluated using the proposed technique. Results demonstrate that the proposed formula possesses high fitting accuracy and can be easily used to calculate flow velocity and generate GIUH. Nature Publishing Group UK 2019-10-02 /pmc/articles/PMC6775115/ /pubmed/31578394 http://dx.doi.org/10.1038/s41598-019-50723-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Yingbing Shi, Peng Ji, Xiaomin Qu, Simin Zhao, Lanlan Dong, Fengcheng New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph |
title | New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph |
title_full | New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph |
title_fullStr | New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph |
title_full_unstemmed | New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph |
title_short | New method to calculate the dynamic factor–flow velocity in Geomorphologic instantaneous unit hydrograph |
title_sort | new method to calculate the dynamic factor–flow velocity in geomorphologic instantaneous unit hydrograph |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775115/ https://www.ncbi.nlm.nih.gov/pubmed/31578394 http://dx.doi.org/10.1038/s41598-019-50723-x |
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