On the sensitivity of tidal network characterization to power law estimation

Long-term simulations (3000 yr) of an idealized basin using different tidal ranges (1, 2 and 3 m) and grain sizes (120, 480 and 960 μm) have been performed in order to cover a range of hydrodynamic and sedimentary conditions. Two different cell sizes (50 and 100 m) have been used to study the impact...

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Main Authors: M. Jiménez, S. Castanedo, Z. Zhou, G. Coco, R. Medina, I. Rodriguez-Iturbe
Format: Article
Language:English
Published: Copernicus Publications 2014-04-01
Series:Advances in Geosciences
Online Access:http://www.adv-geosci.net/39/69/2014/adgeo-39-69-2014.pdf
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spelling doaj-0c50497e61f540e3baa7e0e32f7cbf302020-11-24T20:55:22ZengCopernicus PublicationsAdvances in Geosciences1680-73401680-73592014-04-0139697310.5194/adgeo-39-69-2014On the sensitivity of tidal network characterization to power law estimationM. Jiménez0S. Castanedo1Z. Zhou2G. Coco3R. Medina4I. Rodriguez-Iturbe5Environmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, C/ Isabel Torres no. 5, 39011, Santander, SpainEnvironmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, C/ Isabel Torres no. 5, 39011, Santander, SpainEnvironmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, C/ Isabel Torres no. 5, 39011, Santander, SpainEnvironmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, C/ Isabel Torres no. 5, 39011, Santander, SpainEnvironmental Hydraulics Institute "IH Cantabria", Universidad de Cantabria, C/ Isabel Torres no. 5, 39011, Santander, SpainDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USALong-term simulations (3000 yr) of an idealized basin using different tidal ranges (1, 2 and 3 m) and grain sizes (120, 480 and 960 μm) have been performed in order to cover a range of hydrodynamic and sedimentary conditions. Two different cell sizes (50 and 100 m) have been used to study the impact of cell size on tidal network development. The probability distributions of the drainage area and the drainage volume have been computed for every simulation (during an ebb and a flood phase). Power law distributions are observed in drainage area and drainage volume distribution. As an objective estimation of the exponent of a power law is an open issue, different approaches (linear binning, normalized logarithmic binning, cumulative distribution function and maximum likelihood) proposed by White et al. (2008) to estimate the exponent have been used to carry out a sensitivity analysis. Our findings indicate that although all methods results in high and significant correlation coefficients, more work is needed to develop a universal, objective estimation of the exponent.http://www.adv-geosci.net/39/69/2014/adgeo-39-69-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Jiménez
S. Castanedo
Z. Zhou
G. Coco
R. Medina
I. Rodriguez-Iturbe
spellingShingle M. Jiménez
S. Castanedo
Z. Zhou
G. Coco
R. Medina
I. Rodriguez-Iturbe
On the sensitivity of tidal network characterization to power law estimation
Advances in Geosciences
author_facet M. Jiménez
S. Castanedo
Z. Zhou
G. Coco
R. Medina
I. Rodriguez-Iturbe
author_sort M. Jiménez
title On the sensitivity of tidal network characterization to power law estimation
title_short On the sensitivity of tidal network characterization to power law estimation
title_full On the sensitivity of tidal network characterization to power law estimation
title_fullStr On the sensitivity of tidal network characterization to power law estimation
title_full_unstemmed On the sensitivity of tidal network characterization to power law estimation
title_sort on the sensitivity of tidal network characterization to power law estimation
publisher Copernicus Publications
series Advances in Geosciences
issn 1680-7340
1680-7359
publishDate 2014-04-01
description Long-term simulations (3000 yr) of an idealized basin using different tidal ranges (1, 2 and 3 m) and grain sizes (120, 480 and 960 μm) have been performed in order to cover a range of hydrodynamic and sedimentary conditions. Two different cell sizes (50 and 100 m) have been used to study the impact of cell size on tidal network development. The probability distributions of the drainage area and the drainage volume have been computed for every simulation (during an ebb and a flood phase). Power law distributions are observed in drainage area and drainage volume distribution. As an objective estimation of the exponent of a power law is an open issue, different approaches (linear binning, normalized logarithmic binning, cumulative distribution function and maximum likelihood) proposed by White et al. (2008) to estimate the exponent have been used to carry out a sensitivity analysis. Our findings indicate that although all methods results in high and significant correlation coefficients, more work is needed to develop a universal, objective estimation of the exponent.
url http://www.adv-geosci.net/39/69/2014/adgeo-39-69-2014.pdf
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