On the sensitivity of tidal network characterization to power law estimation

Jiménez, Mirian; Castanedo, Sonia; Zhou, Zeng; Coco, Giovanni; Medina, Raúl; Rodrı́guez-Iturbe, Ignacio

doi:10.5194/adgeo-39-69-2014

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Delft3D); however, this may be computationally demanding. The reader is referred to Jiménez et al (2013b) for some ongoing research on this topic.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the drainage density of experimental and modelled tidal networks

et al. 2014

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Abstract. Based on controlled laboratory experiments, we numerically simulate the initiation and long-term evolution of back-barrier tidal networks in micro-tidal and meso-tidal conditions. The simulated pattern formation is comparable to the morphological growth observed in the laboratory, which is characterised by relatively rapid initiation and slower adjustment towards an equilibrium state. The simulated velocity field is in agreement with natural reference systems such as the micro-tidal Venice Lagoon and the meso-tidal Wadden Sea. Special attention is given to the concept of drainage density, which is measured on the basis of the exceedance probability distribution of the unchannelled flow lengths. Model results indicate that the exceedance probability distribution is characterised by an approximately exponential trend, similar to the results of laboratory experiments and observations in natural systems. The drainage density increases greatly during the initial phase of tidal network development, while it slows down when the system approaches equilibrium. Due to the larger tidal prism, the tidal basin has a larger drainage density for the meso-tidal condition (after the same amount of time) than the micro-tidal case. In both micro-tidal and meso-tidal simulations, it is found that there is an initial rapid increase of the tidal prism which soon reaches a relatively steady value (after approximately 40 yr), while the drainage density adjusts more slowly. In agreement with the laboratory experiments, the initial bottom perturbations play an important role in determining the morphological development and hence the exceedance probability distribution of the unchannelled flow lengths. Overall, our study indicates an agreement of the geometric characteristics between the numerical and experimental tidal networks.

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“…Delft3D); however, this may be computationally demanding. The reader is referred to Jiménez et al (2013b) for some ongoing research on this topic.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the drainage density of experimental and modelled tidal networks

et al. 2014

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“…An initial study on the role of grid size resolution is presented in Jiménez et al . [] and it indicates that down to grid size values of 50 m, the self‐similarity is maintained. Jiménez et al .…”

Section: Discussionmentioning

confidence: 99%

“…Jiménez et al . [] studied the impact of the grid size on the development of tidal network and its impact on the drainage area and the volume distribution. The authors show that the finer grid induces the formation of a greater number of narrower channels that dissect the tidal flats more uniformly increasing the drainage area.…”

Section: Discussionmentioning

confidence: 99%

Scaling properties of tidal networks

Jiménez

Castanedo

Zhou

et al. 2014

Water Resources Research

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A new methodology is developed to extract tidal network from hydrodynamic conditions, and use data derived from numerical modeling or field observations to test the hypothesis that tidal networks are characterized by scale-invariant properties. Different tidal network configurations have been obtained from long-term numerical simulations in an idealized basin. These simulations show the influence of hydrodynamic conditions (tidal range, TR) and sediment (grain size sediment, D 50 ) on the final configuration of the network. One of the signatures of scale-invariant behavior is related to the presence of a power law relationship in the probability distribution of geometrical characteristics. For each model configuration and field site, the probability distribution of drainage area and the drainage volume has been calculated, and in both cases tidal networks show scale-invariant characteristics. After assessing the sensitivity of the results, an energy expenditure analysis shows that tidal basins evolve toward a state with less morphodynamic activity, with a lower energy expenditure compare with the initial state.

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