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    Towards adopting open and data‐driven science practices in bed form dynamics research, and some steps to this end
    (Wiley, 2020-01-15)
    Abstract In recent years, open and data‐driven science has fostered very important scientific breakthroughs. This study describes the challenges and opportunities for the scientific community devoted to bed form dynamics research in adopting such scientific paradigms through, for example, engineered data sharing, formal recognition of scientists who collect the data, and collaborative development of free accessible software. It highlights that once these actions are completed, the potential application of deep learning techniques could substantially improve bed form models and the scientific understanding of bed form dynamics. Likewise, it discusses the potential of Bedforms‐ATM, a free available software, to standardize some bed form data analysis techniques. We propose that the technical challenges be tackled by following scholarly accepted/proposed standards (e.g. FAIR Guiding Principles, Geoscience Papers of the Future), using the body of knowledge being built on the matter by some institutions (e.g. Federation of Earth Science Information Partners), and through technical discussions at scientific meetings such as MARID. © 2020 John Wiley & Sons, Ltd.
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    Hydrometeorological data-based methodology for navigability risk analysis at waterways: case study for Magdalena River
    (American Society of Civil Engineers (ASCE), 2021-09-01)
    The characterization and quantification of risk in port activities are essential to determine the main factors that may cause incidents and to establish risk mitigation strategies to improve the safety and operability of ports. This study presents a novel methodology to analyze the hydrometeorological risk of navigation in fairways and port activities, which is applied to the study case of the 22-km section of the lower Magdalena River, near the port of Barranquilla (Colombia). The methodology is based on probabilistic models of dominant hydrometeorological variables (e.g., water depth, flow velocity, wind magnitude, and wave height) identified via hazard and operative (HAZOP) studies. It allowed for quantifying likelihood and vulnerability levels obtained by empirical functions representing monthly spatio-temporal risk. It can be applied at any stage of fairway design and is highly replicable at other geographical conditions. The results for the study area show that the main risk factors for the reference vessel (i.e., SUPRAMAX) are the wave height and the fairway depth, which on up to 15% of the cases restrict navigation and induce deviations and economic losses to the port authority.
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    Bedforms Characterization of the Magdalena River Estuary: A Comparative Analysis Using the Mahalanobis Distance
    (Wiley, 2026-02-01)
    This study presents the first detailed characterization of bedforms within the Magdalena River Estuary (MRE), a large tropical estuary with marked seasonal variability. Three sets of high‐resolution bathymetric surveys conducted under contrasting climatological conditions were used to quantify bedform morphology and analyze their temporal and spatial variability. Bedform dynamics were linked to hydrodynamic and sedimentologic processes previously documented for the MRE. The bedforms of the MRE were compared with those of several estuaries and rivers using a newly introduced statistical approach based on the Mahalanobis distance applied to bedform geometric parameters. This statistical method measures the difference between a set of features and a reference group, allowing for the comparison of bedform characteristics across systems. The results show that during the low‐discharge season, salt‐wedge intrusion into the MRE inhibits the development of bedforms, resulting in a lower‐stage plane bed, whereas larger dunes become predominant along the river channel when the salt wedge is flushed out of the estuary during high discharges. However, the symmetric shape of these dunes reflects the tidal influence on the river channel dynamics even during high discharges. The Mahalanobis distance demonstrated a quantitative framework for discriminating between fluvial (unidirectional) and estuarine (bidirectional) flow regimes based on bedform geometry. This research also proposes a nomenclature for standardizing geometric features in bedform studies.
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