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Journal of Marine Science and Engineering, Volume 11, Issue 7

July 2023 - 223 articles

Cover Story: The cellular automata model DuBeVeg can be used to study the bio-geomorphological evolution of beach-dune systems. In this study, we present an alternative representation of the aeolian transport component in DuBeVeg, better capturing the saltation transport mode that prevails on beaches. This new representation is compared with the original aeolian transport representation in DuBeVeg, inspired by ripple migration. The saltation transport representation resulted in a more realistic simulation of the seaward expansion of the foredune compared with the original representation, particularly in scenarios with wide and prograding beaches. The new representation also captured more accurately the amplitude of aeolian bedforms emerging across the beach. View this paper
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Articles (223)

  • Article
  • Open Access
1 Citations
1,867 Views
28 Pages

In this study, a common cruciform structure in ship hulls was designed and experimented with in order to analyze its deformation characteristics under planar collision and quasi-static loading. The mechanical parameters of the materials were determin...

  • Article
  • Open Access
7 Citations
2,443 Views
16 Pages

Characterizing the Sound-Scattering Layer and Its Environmental Drivers in the North Equatorial Current of the Central and Western Pacific Ocean

  • Tianji Gao,
  • Jianfeng Tong,
  • Minghua Xue,
  • Zhenhong Zhu,
  • Yue Qiu,
  • Richard Kindong,
  • Qiuyun Ma and
  • Jun Li

Acoustic technology is an essential tool for detecting marine biological resources and has been widely used in sound-scattering layer (SSL) research. The North Equatorial Current (NEC) warm pool region of the Central and Western Pacific Ocean has a v...

  • Article
  • Open Access
11 Citations
3,005 Views
19 Pages

Underwater optical imaging devices are often affected by the complex underwater environment and the characteristics of the water column, which leads to serious degradation and distortion of the images they capture. Deep learning-based underwater imag...

  • Article
  • Open Access
2 Citations
3,405 Views
23 Pages

Semantic segmentation methods have been successfully applied in seabed sediment detection. However, fast models like YOLO only produce rough segmentation boundaries (rectangles), while precise models like U-Net require too much time. In order to achi...

  • Article
  • Open Access
24 Citations
3,145 Views
16 Pages

CR-NBEER: Cooperative-Relay Neighboring-Based Energy Efficient Routing Protocol for Marine Underwater Sensor Networks

  • Altaf Hussain,
  • Tariq Hussain,
  • Inam Ullah,
  • Bahodir Muminov,
  • Muhammad Zubair Khan,
  • Osama Alfarraj and
  • Amr Gafar

This paper proposes a Cooperative-Relay Neighboring-Based Energy-Efficient Routing (CR-NBEER) protocol with advanced relay optimization for MUSN. The utilization of the relay nodes, among all other sensor nodes, makes it possible to achieve node-to-n...

  • Article
  • Open Access
2 Citations
3,234 Views
26 Pages

Deep Learning-Based Time Series Forecasting Models Evaluation for the Forecast of Chlorophyll a and Dissolved Oxygen in the Mar Menor

  • Francisco Javier López-Andreu,
  • Juan Antonio López-Morales,
  • Zaida Hernández-Guillen,
  • Juan Antonio Carrero-Rodrigo,
  • Marta Sánchez-Alcaraz,
  • Joaquín Francisco Atenza-Juárez and
  • Manuel Erena

The Mar Menor is a coastal lagoon of great socio-ecological and environmental value; in recent years, different localized episodes of hypoxia and eutrophication have modified the quality of its waters. The episodes are due to a drop in dissolved oxyg...

  • Article
  • Open Access
2 Citations
2,458 Views
20 Pages

An Integrated Resilient Sediment Transport RIsk Management (IRSTRIM) Approach for Estuaries

  • Mina Zakipour,
  • Farhad Yazdandoost,
  • Karim Alizad,
  • Ardalan Izadi and
  • Aref Farhangmehr

Estuaries around the world are facing numerous threats, including urbanization, industrialization, resource scarcity, and the impacts of climate change. To increase estuarine resilience, it is crucial to manage these ecosystems to maintain their func...

  • Article
  • Open Access
7 Citations
2,847 Views
25 Pages

Machine-Learning-Enabled Foil Design Assistant

  • Konstantinos V. Kostas and
  • Maria Manousaridou

In this work, supervised Machine Learning (ML) techniques were employed to solve the forward and inverse problems of airfoil and hydrofoil design. The forward problem pertains to the prediction of a foil’s aerodynamic or hydrodynamic performanc...

  • Review
  • Open Access
13 Citations
9,038 Views
36 Pages

A Review of Marine In Situ Sensors and Biosensors

  • Yiqun Liu,
  • Hailong Lu and
  • Yue Cui

The exploration of the ocean is essential for the exploitation of marine resources and the sustainable development of human society. In order to assess both the health and the resources of the marine environment, a variety of chemical and biological...

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J. Mar. Sci. Eng. - ISSN 2077-1312