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Simulation of overland flow considering the influence of topographic depressions
The simulation of overland flow, wherein runoff yield and concentration are influenced by topography, is fundamental to hydrological forecasting. Therefore, critically evaluating the characteristics of overland flow under the influence of topographic depressions—which are one of the most common micr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145823/ https://www.ncbi.nlm.nih.gov/pubmed/32273531 http://dx.doi.org/10.1038/s41598-020-63001-y |
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author | Hu, Lin Bao, Weimin Shi, Peng Wang, Jianjin Lu, Meixia |
author_facet | Hu, Lin Bao, Weimin Shi, Peng Wang, Jianjin Lu, Meixia |
author_sort | Hu, Lin |
collection | PubMed |
description | The simulation of overland flow, wherein runoff yield and concentration are influenced by topography, is fundamental to hydrological forecasting. Therefore, critically evaluating the characteristics of overland flow under the influence of topographic depressions—which are one of the most common microtopographic structures—is vital for improving current hydrological models. In this study, we developed a solution for the real-world application of overland flow simulations under the influence of depressions in hydrological models. A relative depression storage–outflow curve (RDOC) was proposed to investigate surface outflow processes. Experiments were conducted based on the variable-controlling approach using three rainfall return periods, four slopes, and four depression rates while ensuring a consistent initial soil moisture content. A homogenized RDOC was achieved based on shape analysis; it was parameterized by the outflow threshold and the reciprocal of the curve index of two outflow stages (B and D). A relative depression storage–outflow function (RDOF) was generated and a complete calculation procedure was applied within a hydrological model. Furthermore, we analyzed the hydrological responses to parameters of different hydrological factors to improve our understanding of the parameter determination of the RDOF. |
format | Online Article Text |
id | pubmed-7145823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71458232020-04-15 Simulation of overland flow considering the influence of topographic depressions Hu, Lin Bao, Weimin Shi, Peng Wang, Jianjin Lu, Meixia Sci Rep Article The simulation of overland flow, wherein runoff yield and concentration are influenced by topography, is fundamental to hydrological forecasting. Therefore, critically evaluating the characteristics of overland flow under the influence of topographic depressions—which are one of the most common microtopographic structures—is vital for improving current hydrological models. In this study, we developed a solution for the real-world application of overland flow simulations under the influence of depressions in hydrological models. A relative depression storage–outflow curve (RDOC) was proposed to investigate surface outflow processes. Experiments were conducted based on the variable-controlling approach using three rainfall return periods, four slopes, and four depression rates while ensuring a consistent initial soil moisture content. A homogenized RDOC was achieved based on shape analysis; it was parameterized by the outflow threshold and the reciprocal of the curve index of two outflow stages (B and D). A relative depression storage–outflow function (RDOF) was generated and a complete calculation procedure was applied within a hydrological model. Furthermore, we analyzed the hydrological responses to parameters of different hydrological factors to improve our understanding of the parameter determination of the RDOF. Nature Publishing Group UK 2020-04-09 /pmc/articles/PMC7145823/ /pubmed/32273531 http://dx.doi.org/10.1038/s41598-020-63001-y Text en © The Author(s) 2020 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 Hu, Lin Bao, Weimin Shi, Peng Wang, Jianjin Lu, Meixia Simulation of overland flow considering the influence of topographic depressions |
title | Simulation of overland flow considering the influence of topographic depressions |
title_full | Simulation of overland flow considering the influence of topographic depressions |
title_fullStr | Simulation of overland flow considering the influence of topographic depressions |
title_full_unstemmed | Simulation of overland flow considering the influence of topographic depressions |
title_short | Simulation of overland flow considering the influence of topographic depressions |
title_sort | simulation of overland flow considering the influence of topographic depressions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145823/ https://www.ncbi.nlm.nih.gov/pubmed/32273531 http://dx.doi.org/10.1038/s41598-020-63001-y |
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