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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...

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Detalles Bibliográficos
Autores principales: Castillo, Aldrich, Castelli, Fabio, Entekhabi, Dara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
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.
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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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