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An entropy‐based measure of hydrologic complexity and its applications
Basin response and hydrologic fluxes are functions of hydrologic states, most notably of soil moisture. However, characterization of hillslope‐scale soil moisture is challenging since it is both spatially heterogeneous and dynamic. This paper introduces an entropy‐based and discretization‐invariant...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758416/ https://www.ncbi.nlm.nih.gov/pubmed/26937055 http://dx.doi.org/10.1002/2014WR016035 |
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author | Castillo, Aldrich Castelli, Fabio Entekhabi, Dara |
author_facet | Castillo, Aldrich Castelli, Fabio Entekhabi, Dara |
author_sort | Castillo, Aldrich |
collection | PubMed |
description | Basin response and hydrologic fluxes are functions of hydrologic states, most notably of soil moisture. However, characterization of hillslope‐scale soil moisture is challenging since it is both spatially heterogeneous and dynamic. This paper introduces an entropy‐based and discretization‐invariant dimensionless index of hydrologic complexity [Formula: see text] that measures the distance of a given distribution of soil moisture from a Dirac delta (most organization) and a uniform distribution (widest distribution). Applying the distributed hydrologic model MOBIDIC to seven test basins with areas ranging 10(0)−10(3) km(2) and representing semiarid and temperate climates, [Formula: see text] is shown to capture distributional characteristics of soil moisture fields. It can also track the temporal evolution of the distributional features. Furthermore, this paper explores how basin attributes affect the characteristic [Formula: see text] , and how [Formula: see text] can be used to explain interbasin variability in hydrologic response. Relationships are found only by grouping basins with the same climate or size. For the semiarid basins, [Formula: see text] scales with catchment area, topographic wetness, infiltration ratio, and base flow index; while [Formula: see text] is inversely related to relief ratio. |
format | Online Article Text |
id | pubmed-4758416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47584162016-02-29 An entropy‐based measure of hydrologic complexity and its applications Castillo, Aldrich Castelli, Fabio Entekhabi, Dara Water Resour Res Research Articles Basin response and hydrologic fluxes are functions of hydrologic states, most notably of soil moisture. However, characterization of hillslope‐scale soil moisture is challenging since it is both spatially heterogeneous and dynamic. This paper introduces an entropy‐based and discretization‐invariant dimensionless index of hydrologic complexity [Formula: see text] that measures the distance of a given distribution of soil moisture from a Dirac delta (most organization) and a uniform distribution (widest distribution). Applying the distributed hydrologic model MOBIDIC to seven test basins with areas ranging 10(0)−10(3) km(2) and representing semiarid and temperate climates, [Formula: see text] is shown to capture distributional characteristics of soil moisture fields. It can also track the temporal evolution of the distributional features. Furthermore, this paper explores how basin attributes affect the characteristic [Formula: see text] , and how [Formula: see text] can be used to explain interbasin variability in hydrologic response. Relationships are found only by grouping basins with the same climate or size. For the semiarid basins, [Formula: see text] scales with catchment area, topographic wetness, infiltration ratio, and base flow index; while [Formula: see text] is inversely related to relief ratio. John Wiley and Sons Inc. 2015-07-14 2015-07 /pmc/articles/PMC4758416/ /pubmed/26937055 http://dx.doi.org/10.1002/2014WR016035 Text en © 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Castillo, Aldrich Castelli, Fabio Entekhabi, Dara An entropy‐based measure of hydrologic complexity and its applications |
title | An entropy‐based measure of hydrologic complexity and its applications |
title_full | An entropy‐based measure of hydrologic complexity and its applications |
title_fullStr | An entropy‐based measure of hydrologic complexity and its applications |
title_full_unstemmed | An entropy‐based measure of hydrologic complexity and its applications |
title_short | An entropy‐based measure of hydrologic complexity and its applications |
title_sort | entropy‐based measure of hydrologic complexity and its applications |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758416/ https://www.ncbi.nlm.nih.gov/pubmed/26937055 http://dx.doi.org/10.1002/2014WR016035 |
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