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Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions
We computationally explore the relationship between surface–subsurface exchange and hydrological response in a headwater-dominated high elevation, mountainous catchment in East River Watershed, Colorado, USA. In order to isolate the effect of surface–subsurface exchange on the hydrological response,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033882/ https://www.ncbi.nlm.nih.gov/pubmed/36949117 http://dx.doi.org/10.1038/s41598-023-31925-w |
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author | Özgen-Xian, Ilhan Molins, Sergi Johnson, Rachel M. Xu, Zexuan Dwivedi, Dipankar Loritz, Ralf Mital, Utkarsh Ulrich, Craig Yan, Qina Steefel, Carl I. |
author_facet | Özgen-Xian, Ilhan Molins, Sergi Johnson, Rachel M. Xu, Zexuan Dwivedi, Dipankar Loritz, Ralf Mital, Utkarsh Ulrich, Craig Yan, Qina Steefel, Carl I. |
author_sort | Özgen-Xian, Ilhan |
collection | PubMed |
description | We computationally explore the relationship between surface–subsurface exchange and hydrological response in a headwater-dominated high elevation, mountainous catchment in East River Watershed, Colorado, USA. In order to isolate the effect of surface–subsurface exchange on the hydrological response, we compare three model variations that differ only in soil permeability. Traditional methods of hydrograph analysis that have been developed for headwater catchments may fail to properly characterize catchments, where catchment response is tightly coupled to headwater inflow. Analyzing the spatially distributed hydrological response of such catchments gives additional information on the catchment functioning. Thus, we compute hydrographs, hydrological indices, and spatio-temporal distributions of hydrological variables. The indices and distributions are then linked to the hydrograph at the outlet of the catchment. Our results show that changes in the surface–subsurface exchange fluxes trigger different flow regimes, connectivity dynamics, and runoff generation mechanisms inside the catchment, and hence, affect the distributed hydrological response. Further, changes in surface–subsurface exchange rates lead to a nonlinear change in the degree of connectivity—quantified through the number of disconnected clusters of ponding water—in the catchment. Although the runoff formation in the catchment changes significantly, these changes do not significantly alter the aggregated streamflow hydrograph. This hints at a crucial gap in our ability to infer catchment function from aggregated signatures. We show that while these changes in distributed hydrological response may not always be observable through aggregated hydrological signatures, they can be quantified through the use of indices of connectivity. |
format | Online Article Text |
id | pubmed-10033882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100338822023-03-24 Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions Özgen-Xian, Ilhan Molins, Sergi Johnson, Rachel M. Xu, Zexuan Dwivedi, Dipankar Loritz, Ralf Mital, Utkarsh Ulrich, Craig Yan, Qina Steefel, Carl I. Sci Rep Article We computationally explore the relationship between surface–subsurface exchange and hydrological response in a headwater-dominated high elevation, mountainous catchment in East River Watershed, Colorado, USA. In order to isolate the effect of surface–subsurface exchange on the hydrological response, we compare three model variations that differ only in soil permeability. Traditional methods of hydrograph analysis that have been developed for headwater catchments may fail to properly characterize catchments, where catchment response is tightly coupled to headwater inflow. Analyzing the spatially distributed hydrological response of such catchments gives additional information on the catchment functioning. Thus, we compute hydrographs, hydrological indices, and spatio-temporal distributions of hydrological variables. The indices and distributions are then linked to the hydrograph at the outlet of the catchment. Our results show that changes in the surface–subsurface exchange fluxes trigger different flow regimes, connectivity dynamics, and runoff generation mechanisms inside the catchment, and hence, affect the distributed hydrological response. Further, changes in surface–subsurface exchange rates lead to a nonlinear change in the degree of connectivity—quantified through the number of disconnected clusters of ponding water—in the catchment. Although the runoff formation in the catchment changes significantly, these changes do not significantly alter the aggregated streamflow hydrograph. This hints at a crucial gap in our ability to infer catchment function from aggregated signatures. We show that while these changes in distributed hydrological response may not always be observable through aggregated hydrological signatures, they can be quantified through the use of indices of connectivity. Nature Publishing Group UK 2023-03-22 /pmc/articles/PMC10033882/ /pubmed/36949117 http://dx.doi.org/10.1038/s41598-023-31925-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Özgen-Xian, Ilhan Molins, Sergi Johnson, Rachel M. Xu, Zexuan Dwivedi, Dipankar Loritz, Ralf Mital, Utkarsh Ulrich, Craig Yan, Qina Steefel, Carl I. Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions |
title | Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions |
title_full | Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions |
title_fullStr | Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions |
title_full_unstemmed | Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions |
title_short | Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions |
title_sort | understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface–subsurface interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033882/ https://www.ncbi.nlm.nih.gov/pubmed/36949117 http://dx.doi.org/10.1038/s41598-023-31925-w |
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