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37 pages, 11546 KiB  
Review
Advances in Interferometric Synthetic Aperture Radar Technology and Systems and Recent Advances in Chinese SAR Missions
by Qingjun Zhang, Huangjiang Fan, Yuxiao Qin and Yashi Zhou
Sensors 2025, 25(15), 4616; https://doi.org/10.3390/s25154616 - 25 Jul 2025
Viewed by 372
Abstract
With advancements in radar sensors, communications, and computer technologies, alongside an increasing number of ground observation tasks, Synthetic Aperture Radar (SAR) remote sensing is transitioning from being theory and technology-driven to being application-demand-driven. Since the late 1960s, Interferometric Synthetic Aperture Radar (InSAR) theories [...] Read more.
With advancements in radar sensors, communications, and computer technologies, alongside an increasing number of ground observation tasks, Synthetic Aperture Radar (SAR) remote sensing is transitioning from being theory and technology-driven to being application-demand-driven. Since the late 1960s, Interferometric Synthetic Aperture Radar (InSAR) theories and techniques have continued to develop. They have been applied significantly in various fields, such as in the generation of global topography maps, monitoring of ground deformation, marine observations, and disaster reduction efforts. This article classifies InSAR into repeated-pass interference and single-pass interference. Repeated-pass interference mainly includes D-InSAR, PS-InSAR and SBAS-InSAR. Single-pass interference mainly includes CT-InSAR and AT-InSAR. Recently, China has made significant progress in the field of SAR satellite development, successfully launching several satellites equipped with interferometric measurement capabilities. These advancements have driven the evolution of spaceborne InSAR systems from single-frequency to multi-frequency, from low Earth orbit to higher orbits, and from single-platform to multi-platform configurations. These advancements have supported high precision and high-temporal-resolution land observation, and promoted the broader application of InSAR technology in disaster early warning, ecological monitoring, and infrastructure safety. Full article
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23 pages, 5245 KiB  
Article
Machine Learning Reconstruction of Wyrtki Jet Seasonal Variability in the Equatorial Indian Ocean
by Dandan Li, Shaojun Zheng, Chenyu Zheng, Lingling Xie and Li Yan
Algorithms 2025, 18(7), 431; https://doi.org/10.3390/a18070431 - 14 Jul 2025
Viewed by 267
Abstract
The Wyrtki Jet (WJ), a pivotal surface circulation system in the equatorial Indian Ocean, exerts significant regulatory control over regional climate dynamics through its intense eastward transport characteristics, which modulate water mass exchange, thermohaline balance, and cross-basin energy transfer. To address the scarcity [...] Read more.
The Wyrtki Jet (WJ), a pivotal surface circulation system in the equatorial Indian Ocean, exerts significant regulatory control over regional climate dynamics through its intense eastward transport characteristics, which modulate water mass exchange, thermohaline balance, and cross-basin energy transfer. To address the scarcity of in situ observational data, this study developed a satellite remote sensing-driven multi-parameter coupled model and reconstructed the WJ’s seasonal variations using the XGBoost machine learning algorithm. The results revealed that wind stress components, sea surface temperature, and wind stress curl serve as the primary drivers of its seasonal dynamics. The XGBoost model demonstrated superior performance in reconstructing WJ’s seasonal variations, achieving coefficients of determination (R2) exceeding 0.97 across all seasons and maintaining root mean square errors (RMSE) below 0.2 m/s across all seasons. The reconstructed currents exhibited strong consistency with the Ocean Surface Current Analysis Real-time (OSCAR) dataset, showing errors below 0.05 m/s in spring and autumn and under 0.1 m/s in summer and winter. The proposed multi-feature integrated modeling framework delivers a high spatiotemporal resolution analytical tool for tropical Indian Ocean circulation dynamics research, while simultaneously establishing critical data infrastructure to decode monsoon current coupling mechanisms, advancing early warning systems for extreme climatic events, and optimizing regional marine resource governance. Full article
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55 pages, 3773 KiB  
Review
Molecular Mechanisms and Biomarker-Based Early-Warning Indicators of Heavy Metal Toxicity in Marine Fish
by Andra Oros, Valentina Coatu, Nicoleta Damir, Diana Danilov, Elena Ristea and Luminita Lazar
Fishes 2025, 10(7), 339; https://doi.org/10.3390/fishes10070339 - 10 Jul 2025
Viewed by 560
Abstract
Heavy metals are among the most persistent and bioaccumulative pollutants in marine ecosystems, posing significant toxicological threats to fish via complex molecular and cellular disruptions. This review synthesizes current knowledge on the cascade of mechanistic responses in marine fish following HM exposure, which [...] Read more.
Heavy metals are among the most persistent and bioaccumulative pollutants in marine ecosystems, posing significant toxicological threats to fish via complex molecular and cellular disruptions. This review synthesizes current knowledge on the cascade of mechanistic responses in marine fish following HM exposure, which includes oxidative stress, modulation of antioxidant responses, activation of detoxification systems, DNA damage, inflammation, apoptosis, neuroendocrine disruption, and ultimately, cellular energy imbalance. In addition to established pathways, the review highlights recent advances in mechanistic understanding and biomarker development, including cellular stress responses, epigenetic regulation, metal homeostasis mechanisms, and novel molecular indicators. These mechanisms support the development of an integrated biomarker framework that combines classical indicators (e.g., antioxidant enzymes, metallothionein) with next-generation endpoints (e.g., miRNA profiles, gene-level responses of metal transporters or stress chaperones, epigenetic alterations). The interpretation of biomarker responses requires consideration of the exposure context, environmental variables, and physiological status to ensure accurate assessment of sublethal toxicity in field settings. By bridging mechanistic understanding with biomonitoring relevance, this review provides a comprehensive foundation for advancing molecular tools in pollution monitoring and risk assessment. Special emphasis is placed on biomarkers specific to heavy metal exposure, enhancing their diagnostic value relative to general stress indicators. Full article
(This article belongs to the Section Environment and Climate Change)
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24 pages, 6218 KiB  
Article
The Design and Data Analysis of an Underwater Seismic Wave System
by Dawei Xiao, Qin Zhu, Jingzhuo Zhang, Taotao Xie and Qing Ji
Sensors 2025, 25(13), 4155; https://doi.org/10.3390/s25134155 - 3 Jul 2025
Viewed by 402
Abstract
Ship seismic wave signals represent one of the most critical physical field characteristics of vessels. To achieve the high-precision detection of ship seismic wave field signals in marine environments, an underwater seismic wave signal detection system was designed. The system adopts a three-stage [...] Read more.
Ship seismic wave signals represent one of the most critical physical field characteristics of vessels. To achieve the high-precision detection of ship seismic wave field signals in marine environments, an underwater seismic wave signal detection system was designed. The system adopts a three-stage architecture consisting of watertight instrument housing, a communication circuit, and a buoy to realize high-capacity real-time data transmissions. The host computer performs the collaborative optimization of multi-modal hardware architecture and adaptive signal processing algorithms, enabling the detection of ship targets in oceanic environments. Through verification in a water tank and sea trials, the system successfully measured seismic wave signals. An improved ALE-LOFAR (Adaptive Line Enhancer–Low-Frequency Analysis) joint framework, combined with DEMON (Demodulation of Envelope Modulation) demodulation technology, was proposed to conduct the spectral feature analysis of ship seismic wave signals, yielding the low-frequency signal characteristics of vessels. This scheme provides an important method for the covert monitoring of shallow-sea targets, providing early warnings of illegal fishing and ensuring underwater security. Full article
(This article belongs to the Special Issue Acoustic Sensing for Condition Monitoring)
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32 pages, 27648 KiB  
Article
Stability Analysis of Marine Scaffold Under Coupled Environmental Loads
by Pengkai Wang, Gang Yao, Yang Yang and Haiyang Qin
J. Mar. Sci. Eng. 2025, 13(6), 1141; https://doi.org/10.3390/jmse13061141 - 8 Jun 2025
Viewed by 429
Abstract
Structural instability in marine scaffold systems often causes serious economic losses and casualties. In this study, a multi-parameter coupled model was established based on the MIDAS GEN finite element analysis platform to investigate the influence mechanisms of key parameters on the overall stability [...] Read more.
Structural instability in marine scaffold systems often causes serious economic losses and casualties. In this study, a multi-parameter coupled model was established based on the MIDAS GEN finite element analysis platform to investigate the influence mechanisms of key parameters on the overall stability of marine scaffold systems. To quantify the impact levels of the key parameters, a sensitivity analysis framework was established using an orthogonal experimental design approach and the corresponding compliance detection index and instability early-warning mechanisms were proposed. The results indicate that the overall stability of the scaffold system initially increases and then decreases with the rise in the adjustable base height. Variations in the cantilever length of the adjustable bracket within the range of 100–650 mm have no significant effect on the system’s overall stability. The absence of diagonal brace at the bottom, top, and facade ends significantly reduces structural stability. Increased vertical offset markedly degrades stability, whereas horizontal offset within ±5 mm has a negligible effect. The key parameters affecting the structural stability, ranked in descending order of significance, are as follows: absence of diagonal braces, verticality offset of the vertical bar, height of the adjustable base, horizontality offset of the horizontal bar, and cantilever length of the adjustable bracket. Finally, an early-warning assessment system for the scaffold structure was established. The research findings provide valuable guidance for optimizing marine scaffold design, enhancing construction safety, and formulating relevant standards and specifications. Full article
(This article belongs to the Section Ocean Engineering)
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21 pages, 4522 KiB  
Article
Research on Data-Driven Performance Assessment and Fault Early Warning of Marine Diesel Engine
by Haiyan Wang, Zihan Wang and Biao Shi
Appl. Sci. 2025, 15(11), 6299; https://doi.org/10.3390/app15116299 - 4 Jun 2025
Viewed by 504
Abstract
To enable proactive prediction of marine diesel engine failure time and root causes, thereby reserving sufficient time for maintenance, this study proposes a data-driven multi-algorithm integration framework for performance assessment and fault early warning in marine diesel engines. By integrating the SSD (steady-state [...] Read more.
To enable proactive prediction of marine diesel engine failure time and root causes, thereby reserving sufficient time for maintenance, this study proposes a data-driven multi-algorithm integration framework for performance assessment and fault early warning in marine diesel engines. By integrating the SSD (steady-state detection) algorithm, a data-driven CLIQUE clustering algorithm was chosen for automatic multi-parameter high-dimensional running condition partitioning. This innovative approach overcomes the limitations of traditional single-parameter approaches or dimensionality reduction techniques, significantly enhancing state classification accuracy. The improved classification results subsequently increase the reliability of Mahalanobis distance as a performance indicator for marine diesel engine condition assessment. Finally, the cumulative anomaly method combined with the Yamamoto test was employed for anomaly detection analysis, enabling precise identification of fault occurrence time and establishing an effective early-warning mechanism. The study demonstrates that this technique effectively characterizes the overall performance of marine diesel engines and captures their performance degradation features. Implemented on a 6RT-flex82T marine diesel engine dataset, the method achieved precise prediction of fault occurrence time with early warnings, providing approximately 20 days advance notice for maintenance planning. Furthermore, comparative analyses with existing studies revealed its superior capability in pinpointing the anomaly to the jacket cooling water outlet temperature of cylinder #2. These results confirm the method’s effectiveness in both performance assessment and fault early warning for marine diesel engines, offering a novel approach for intelligent maintenance of shipboard equipment. Full article
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19 pages, 3095 KiB  
Article
An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels
by Kun Yang, Jinglong Lin, Jianjun Ding, Bing Zheng and Li Qin
J. Mar. Sci. Eng. 2025, 13(6), 1049; https://doi.org/10.3390/jmse13061049 - 26 May 2025
Viewed by 630
Abstract
Fishing vessels are essential for the activities of catching, moving, and storing fish. However, fishing vessel accidents claim thousands of deaths every year. This study presents a novel integrated safety monitoring and early warning system designed for fishing vessels, offering significant advancements in [...] Read more.
Fishing vessels are essential for the activities of catching, moving, and storing fish. However, fishing vessel accidents claim thousands of deaths every year. This study presents a novel integrated safety monitoring and early warning system designed for fishing vessels, offering significant advancements in maritime safety through real-time alerts based on vessel attitude motion and environmental conditions. The innovation of the system lies in its dual-subsystem architecture: a sensing terminal equipped with a nine-axis sensor, temperature and humidity sensors, a GPS module, and a surveillance camera collects critical data, while a decision support subsystem processes this information via a fuzzy logic-based algorithm to generate a “danger score”. This score quantifies the vessel’s safety status, enabling the system to trigger alerts through SMS and web notifications when predefined thresholds are exceeded. Field trials in the Zhoushan Sea area confirmed the system’s effectiveness in accurately predicting safety hazards and providing timely alerts. The results highlight its potential to enhance operational safety and contribute to the digitization of fisheries management by offering reliable real-time data on vessel conditions. The system’s modular and cost-efficient design ensures it is scalable and adaptable for widespread use across the fishing industry. Our study addresses the limitations of existing technologies by providing a balanced solution that combines comprehensive sensing capabilities with real-time responsiveness and cost-effectiveness, offering a practical and innovative approach to improve fishing vessel safety. Full article
(This article belongs to the Special Issue Recent Advances in Maritime Safety and Ship Collision Avoidance)
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22 pages, 7115 KiB  
Article
Identification and Feeding Characterization of Sterkiella histriomuscorum (Protozoa, Ciliophora, Hypotrichia) Isolated from Outdoor Mass Culture of Scenedesmus dimorphus
by Mengyun Wang, Pei Chen, Hongxia Wang, Qiong Deng, Xiaonan Zhang, Guoqing Yuan, Mixue Jiang, Lingling Zheng, Zixuan Hu, Zemao Gu, Denis V. Tikhonenkov and Yingchun Gong
Microorganisms 2025, 13(5), 1016; https://doi.org/10.3390/microorganisms13051016 - 28 Apr 2025
Viewed by 485
Abstract
Herbivorous protistan grazers are ubiquitous and abundant in marine and temperate freshwater environments. However, little is known about the algivorous ciliates and their feeding habits in outdoor mass algal cultures. In this study, we report on one hypotrich ciliate, identified as Sterkiella histriomuscorum [...] Read more.
Herbivorous protistan grazers are ubiquitous and abundant in marine and temperate freshwater environments. However, little is known about the algivorous ciliates and their feeding habits in outdoor mass algal cultures. In this study, we report on one hypotrich ciliate, identified as Sterkiella histriomuscorum, from the outdoor mass culture of Scenedesmus in Arizona, USA. A long-term field survey revealed that this species often occurs in Scenedesmus culture in spring and summer, and can graze very heavily on Scenedesmus cells. By isolating Sterkiella cells and then observing them via light microscopy and electron microscopy, detailed information about the morphology, ultrastructure, excystment process, and feeding characteristics of the ciliate was obtained. Specifically, it seems that S. histriomuscorum has a range of different strategies for excystment, and the sharp change in the ion concentration in the environment around the cyst results in osmotic shock, which likely facilitates the excystment. Feeding experiments revealed that S. histriomuscorum preferred to graze on chlorophytes as well as the diatom Phaeodactylum tricornutum and had no interaction with chrysophytes or cyanobacteria. Molecular phylogenetic analysis based on the SSU rRNA gene sequence indicated that both the genus Sterkiella and the species S. histriomuscorum are non-monophyletic. The information obtained from this study will help advance our understanding of the biodiversity and ecological function of S. histriomuscorum, and will also be very useful in the development of early warning systems and control measures for preventing or treating this contaminant in microalgal mass cultures. Full article
(This article belongs to the Section Molecular Microbiology and Immunology)
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31 pages, 2079 KiB  
Review
Research Progress of Self-Healing Coatings on Ships Against Biological Pollution: A Review
by Wenxu Niu, Jiejun Qian, Xin Wang, Caiping Liang, Li Cui, Haobin Tian and Peter K. Liaw
Coatings 2025, 15(4), 486; https://doi.org/10.3390/coatings15040486 - 19 Apr 2025
Cited by 1 | Viewed by 1358
Abstract
Marine biofouling is a well-established and significant challenge for the maritime industry. Self-healing coatings applied to ships have demonstrated superior surface properties, including enhanced corrosion resistance and the ability to mitigate biological contamination. Consequently, numerous studies have been conducted to assess different self-repairing [...] Read more.
Marine biofouling is a well-established and significant challenge for the maritime industry. Self-healing coatings applied to ships have demonstrated superior surface properties, including enhanced corrosion resistance and the ability to mitigate biological contamination. Consequently, numerous studies have been conducted to assess different self-repairing coatings, which incorporate mechanisms such as microcapsules, dynamic covalent bonds, and ion exchange. This review begins with an introduction to the process of biofouling formation. It then provides a comprehensive outline of the self-healing coatings that have been developed to improve wear resistance, summarizing the advancements in this area. Finally, building upon these three coating systems, this paper offers a summary of the fabrication and protection technologies for self-healing coatings, including the preparation of micro/nano containers, corrosion warning mechanisms, and intelligent responsive protection. Furthermore, the review explores the future prospects of self-healing coatings, offering valuable insights for researchers in the field. The potential limitations of their application scenarios are also addressed. Full article
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16 pages, 1590 KiB  
Article
Environmental Effects on the Ecological Carrying Capacity of Marine Ranching in the Northern South China Sea
by Ziwen Wang, Lijun Yao, Jing Yu, Yuxiang Chen, Xue Feng and Pimao Chen
Biology 2025, 14(4), 419; https://doi.org/10.3390/biology14040419 - 14 Apr 2025
Cited by 1 | Viewed by 471
Abstract
The marine ecological carrying capacity (MECC) of marine ranching serves as a crucial indicator for assessing the conservation effect of fishery resources and forms a significant basis for scientific management of coastal fisheries. The environmental impacts on the MECC of marine ranching in [...] Read more.
The marine ecological carrying capacity (MECC) of marine ranching serves as a crucial indicator for assessing the conservation effect of fishery resources and forms a significant basis for scientific management of coastal fisheries. The environmental impacts on the MECC of marine ranching in the northern South China Sea were analyzed quantitatively by employing Generalized Additive Models (GAMs), which have been successfully applied to the study of the relationship between fishery resources and environmental factors, and factor analysis, using satellite and survey observations. Results showed that 95.40% of the total variation in MECC was explained by these factors. Based on the GAMs, the most important factor was Year (calendar years), with a contribution of 66.20%, followed by Chlorophyll a concentration (Chl-a), Sea Surface Temperature (SST), Dissolved Inorganic Nitrogen (DIN) and Water Current, with contributions of 20.60%, 4.40%, 3.60%, and 0.60%, respectively. The findings of this study inspire us to establish a long-term marine ranching resource and environment monitoring platform, and an early warning and forecasting expert decision-making system, providing scientific references for planning and management of coastal marine ranching. Full article
(This article belongs to the Section Ecology)
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24 pages, 1322 KiB  
Article
Transcriptomics as an Early Warning of Domoic Acid Exposure in Pacific Razor Clams (Siliqua patula)
by Lizabeth Bowen, Shannon Waters, Brenda Ballachey, Heather Coletti, Zachary Forster, Jie Li and Bradley Jenner
Toxins 2025, 17(4), 194; https://doi.org/10.3390/toxins17040194 - 11 Apr 2025
Viewed by 625
Abstract
As oceans warm, harmful algal blooms (HABs) are expected to increase, including blooms of Pseudo-nitzschia, a diatom that produces domoic acid (DA), which is a potent neurotoxin. Regulatory limits for human consumption (0.075–0.1 mg/kg/day; acute exposure) exist for the Pacific razor clam; [...] Read more.
As oceans warm, harmful algal blooms (HABs) are expected to increase, including blooms of Pseudo-nitzschia, a diatom that produces domoic acid (DA), which is a potent neurotoxin. Regulatory limits for human consumption (0.075–0.1 mg/kg/day; acute exposure) exist for the Pacific razor clam; however, fisheries currently do not have regulatory limits for chronic low-level exposure to DA even though razor clams can retain DA for over a year after an algal bloom. For bivalves, exposure to marine toxins may disrupt important cellular processes, leading to concerns about effects on their overall health and potential population- and ecosystem-level impacts. Transcriptomics was used to identify differentially expressed genes in razor clams (N = 30) from Long Beach, WA, collected prior to, during, and after a DA-producing bloom. Differentially expressed genes were identified that may indicate exposure of razor clams to DA, including clams with tissue DA concentrations that fall below regulatory limits for human consumption. Targeting these genes in real-time PCR assays may provide an early warning system for routine monitoring of DA in clams. Our results suggest DA exposure is associated with physiological responses ranging from decreased immune function to the potential disruption of cell communication, including retinoic acid catabolic processes, cell adhesion, collagen fibril organization, and immune effector processes. This work may also allow us to examine potential drivers of population-level change and whether chronic lower-level exposure to DA negatively impacts razor clam function, consequently affecting individual and population health. Full article
(This article belongs to the Special Issue Ecology and Evolution of Harmful Algal Blooms)
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25 pages, 14510 KiB  
Article
Dynamic Analysis of Subsea Sediment Engineering Properties Based on Long-Term In Situ Observations in the Offshore Area of Qingdao
by Zhiwen Sun, Yanlong Li, Nengyou Wu, Zhihan Fan, Kai Li, Zhongqiang Sun, Xiaoshuai Song, Liang Xue and Yonggang Jia
J. Mar. Sci. Eng. 2025, 13(4), 723; https://doi.org/10.3390/jmse13040723 - 4 Apr 2025
Viewed by 551
Abstract
The drastic changes in the marine environment can induce the instability of seabed sediments, threatening the safety of marine engineering facilities such as offshore oil platforms, oil pipelines, and submarine optical cables. Due to the lack of long-term in situ observation equipment for [...] Read more.
The drastic changes in the marine environment can induce the instability of seabed sediments, threatening the safety of marine engineering facilities such as offshore oil platforms, oil pipelines, and submarine optical cables. Due to the lack of long-term in situ observation equipment for the engineering properties of seabed sediments, most existing studies have focused on phenomena such as the erosion suspension of the seabed boundary layer and wave-induced liquefaction, leading to insufficient understanding of the dynamic processes affecting the seabed environment. In this study, a long-term in situ observation system for subsea engineering geological environments was developed and deployed for 36 days of continuous monitoring in the offshore area of Qingdao. It was found that wave action significantly altered sediment mechanical properties, with a 5% sound velocity increase correlating to 39% lower compression, 7% higher cohesion, 11% greater internal friction angle, and 50% reduced excess pore water pressure at 1.0–1.8 m depth. suggesting sustained 2.2 m wave loads of expelled pore water, driving dynamic mechanical property variations in seabed sediments. This long-term in situ observation lays the foundation for the monitoring and early warning of marine engineering geological disasters. Full article
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26 pages, 1006 KiB  
Review
Mapping Harmful Algae Blooms: The Potential of Hyperspectral Imaging Technologies
by Fernando Arias, Maytee Zambrano, Edson Galagarza and Kathia Broce
Remote Sens. 2025, 17(4), 608; https://doi.org/10.3390/rs17040608 - 11 Feb 2025
Cited by 4 | Viewed by 2778
Abstract
Harmful algae blooms (HABs) pose critical threats to aquatic ecosystems and human economies, driven by their rapid proliferation, oxygen depletion capacity, toxin release, and biodiversity impacts. These blooms, increasingly exacerbated by climate change, compromise water quality in both marine and freshwater ecosystems, significantly [...] Read more.
Harmful algae blooms (HABs) pose critical threats to aquatic ecosystems and human economies, driven by their rapid proliferation, oxygen depletion capacity, toxin release, and biodiversity impacts. These blooms, increasingly exacerbated by climate change, compromise water quality in both marine and freshwater ecosystems, significantly affecting marine life and coastal economies based on fishing and tourism while also posing serious risks to inland water bodies. This article examines the role of hyperspectral imaging (HSI) in monitoring HABs. HSI, with its superior spectral resolution, enables the precise classification and mapping of diverse algae species, emerging as a pivotal tool in environmental surveillance. An array of HSI techniques, algorithms, and deployment platforms are evaluated, analyzing their efficacy across varied geographical contexts. Notably, hyperspectral sensor-based studies achieved up to 90% classification accuracy, with regression-based chlorophyll-a (Chl-a) estimations frequently reaching coefficients of determination (R2) above 0.80. These quantitative findings underscore the potential of HSI for robust HAB diagnostics and early warning systems. Furthermore, we explore the current limitations and future potential of HSI in HAB management, highlighting its strategic importance in addressing the growing environmental and economic challenges posed by HABs. This paper seeks to provide a comprehensive insight into HSI’s capabilities, fostering its integration in global strategies against HAB proliferation. Full article
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16 pages, 5786 KiB  
Article
The Development of Rapid Test Strips for Alexandrum tamarense
by Zhang Kang, Jiahang Mu, Junhua Fang, Changgong Zhang and Kefu Zhou
Chemosensors 2025, 13(2), 53; https://doi.org/10.3390/chemosensors13020053 - 5 Feb 2025
Viewed by 843
Abstract
Among algae that synthesize paralytic shellfish toxins (PSTs), Alexandrium tamarense is a widely distributed and highly dangerous species with significant impacts on the marine environment and human health. Therefore, establishing fast and reliable monitoring technology for Alexandrium tamarense is crucial. Developing effective detection [...] Read more.
Among algae that synthesize paralytic shellfish toxins (PSTs), Alexandrium tamarense is a widely distributed and highly dangerous species with significant impacts on the marine environment and human health. Therefore, establishing fast and reliable monitoring technology for Alexandrium tamarense is crucial. Developing effective detection and early warning systems for toxic red tides is of paramount importance. Conventional detection methods, such as microscopy and molecular biology, are complex and time-consuming, requiring specialized personnel and equipment, which makes them unsuitable for on-site rapid testing. In this study, we successfully developed polyclonal and monoclonal antibodies targeting Alexandrium tamarense using colloidal gold immunochromatography technology. Based on these antibodies, we created colloidal gold test strips capable of detecting Alexandrium tamarense in water samples. These test strips enable rapid detection of the target algae in aquatic environments and semi-quantitative estimation of algal concentrations using a colorimetric card. They can quickly determine whether the concentration of red tide algae has reached a critical level, allowing for timely preventive measures. This innovation holds significant practical value and broad application potential. Full article
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20 pages, 6289 KiB  
Article
Spatiotemporal Prediction of Tidal Fields in a Semi-Enclosed Marine Bay Using Deep Learning
by Zuhao Zhu, Xiaohui Yan, Zhuo Wang and Sidi Liu
Water 2025, 17(3), 386; https://doi.org/10.3390/w17030386 - 31 Jan 2025
Viewed by 1015
Abstract
The prediction of tidal fields is crucial in coastal and marine hydrodynamic analyses, particularly in complex tidal environments, as it plays an essential role in disaster warning and fisheries management. However, monitoring the entire tidal field is impractical, and harmonic analysis and numerical [...] Read more.
The prediction of tidal fields is crucial in coastal and marine hydrodynamic analyses, particularly in complex tidal environments, as it plays an essential role in disaster warning and fisheries management. However, monitoring the entire tidal field is impractical, and harmonic analysis and numerical simulation methods continue to face challenges in accuracy and efficiency for large-scale predictions. To address these issues, this paper proposes a tidal field prediction method based on Long Short-Term Memory (LSTM) networks. A physics-based hydrodynamic model is established, and the numerical model is validated using observational data from multiple sites in the study area. The accuracy is quantified using performance indicators such as root mean square error (RMSE) and correlation coefficients. The validated numerical model is then used to generate a high-quality comprehensive dataset. An LSTM-based model is then developed to predict tidal fields in a semi-closed marine bay. The performance of the LSTM-based model is compared with models developed using Transformer, Random Forest, and KNN regression methods. The results demonstrate that the LSTM-based model surpasses the other machine learning models in prediction accuracy, with a notable advantage in handling time series field data. This study introduces new ideas and technical approaches for rapid tidal field prediction, overcoming the limitations of traditional methods and providing robust support for coastal disaster prevention, resource management, and environmental protection. Full article
(This article belongs to the Special Issue Advances in Hydraulic and Water Resources Research (3rd Edition))
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