Research Article15 September 2026
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Current Articles
- Research Article15 September 2026
Corrosion Testing and Simulation of Taiwan Offshore Wind Foundations
Yao-Hung Fan, Yen-Fu Liu, I-Ming Pan, Chih-Chung Wen, Hsiu-Chen Yeh, Chien-Ming Lo, Tai-Liang Kuo, Hung-Hua Sheu, Hung-Bin LeeTaiwan is located in the subtropical zone, with high relative humidity and high salinity in the air, and there are marine organisms attached to structures in the sea. This study will analyze the durability of the corrosion structure materials of the underwater foundation of offshore wind turbines based on the local chemical environment and paint materials. The offshore wind turbine underwater infrastructure is placed in the small boat dock area of the National Taiwan Ocean University in Taiwan. Nine kinds of coatings certified by NORSOK M501 were used to prepare specimens, and the metal exposure test was carried out by hanging in seawater. The hanging positions were respectively in the atmospheric zone, splash zone and submerged zone to complete the analysis of the effect of the water environment and attached marine organisms on the corrosion of the coatings. The results show that the growth stage of the oyster shells attached to the steel pile will be more mature. The BEASY simulation software was used to analyze the corrosion voltage, and the results of the simulated cathodic corrosion protection of steel piles were consistent with the in-situ measurement results, so the detection standard is reliable. - Research Article15 September 2026
Can Artificial Seagrass Meadows Reduce Pathogenic Bacteria in Coral Reef Ecosystems- A Mesocosm Study
Hewa Pathirannahelage Athri Thathsarani Weerakoon, Jimmy Kuo, Pi-Jen Liu, Kwee Siong TewSeagrass meadows provide essential coastal ecosystem functions by stabilizing sediments, enhancing water quality, and shaping nutrient and microbial dynamics. With global seagrass losses accelerating due to climate change and anthropogenic pressures, artificial seagrass (ASG) has been proposed as a nature-based alternative to mimic these functions. However, its ability to replicate biological interactions, particularly microbial regulation and pathogen suppression, remains unclear. In this study, we conducted a six-week mesocosm experiment comparing natural Thalassia hemprichii and ASG within coral reef-associated habitats in southern Taiwan. Physicochemical parameters, sedimentation rates, nutrient concentrations, and planktonic and benthic bacterial communities were analyzed. Sedimentation rates and nutrient levels did not show statistically detectable differences between natural and artificial seagrass treatments, suggesting comparable physical conditions under the experimental scale and replication. Community-level analyses showed that within the planktonic communities, ASG and natural seagrass systems differed significantly, whereas benthic communities did not exhibit statistically detectable treatment effects. Nonetheless, taxon-specific patterns revealed important functional divergences. Natural seagrass mesocosms were associated with higher relative abundance of bacterial taxa commonly link to nutrient cycling and nitrogen transformation, including members of the Alphaproteobacteria. In contrast, ASG mesocosms showed higher relative abundances of potentially pathogenic or opportunistic taxa such as Vibrio spp. and filamentous cyanobacteria (Phormidium). Overall, while ASG reproduced key aspects of the physical habitat structure, the microbial community patterns observed here suggest that artificial substrates may not fully capture the biologically mediated interactions characteristic of living seagrass systems. Within the limits of experimental duration and replication, our results indicate that ASG can approximate structural habitat functions but do not provide evidence of full functional equivalence to natural seagrass meadows. ASG may therefore contribute short-term structural habitat complexity, whereas the broader ecological functions associated with intact seagrass ecosystems likely depend on plant-driven biological interactions that were only partially represented under the present experimental conditions - Research Article15 September 2026
Technical Analysis and Market Liquidity in Sale-and-Purchase Transactions of Second-Hand Oil Tankers
Chih-Chung Cheng, Po-Yin Wang, Heng-Chih ChouIn addition to using second-hand oil tankers to fulfil immediate shipping needs, shipowners can leverage price fluctuations in the tanker market to make vessel sale-and-purchase (S&P) transactions. Given that the profitability of vessel S&P transactions depends primarily on timing decisions, in this study, technical analysis was applied to identify the optimal transaction timing for 5-, 10-, and 15-year-old second-hand Aframax tankers. In a simulation, an S&P strategy based on technical analysis outperformed a benchmark buy-and-hold strategy, particularly for newer tankers, possibly due to the higher price volatility and lower market efficiency in the markets for these vessels. However, the lack of liquidity in the second-hand tanker market limited the performance of technical analysis in vessel trading, particularly for older tankers. These findings suggest that shipowners can select an appropriate technical indicator to profit from the lack of efficiency in the tanker market while avoiding the pitfalls caused by insufficient market liquidity. - Research Article15 September 2026
A Resilience Early Warning Assessment of the Maritime Supply Chain: A Case Study of China’s New Energy Vehicle Exports
Xiuqian Chen, Liangyong Chu, Mengyao Wang, Jiayin Du, Yiming Zhang, Xiyao XuEnhancing resilience through early warning is a critical strategy for mitigating disruption risks in the maritime supply chain (MSC). This study proposes a novel early warning assessment framework to determine the resilience of the MSC. It is referred to as a resilience early warning system. An evaluation index system for shipping enterprises is developed based on four dimensions: withstand capacity, adaptive capacity, learning capability, and the external environment. A resilience assessment model that uses the Bayesian best-worst method (BBWM) and the extension cloud model (ECM) is established to quantify MSC resilience. An early warning evaluation model based on a Bayesian network (BN) is constructed to dynamically link resilience indicators with risk propagation patterns. Empirical validation is conducted using the MSC of China’s new energy vehicle (NEV) exports. The proposed BBWM-ECM-BN resilience early warning model uses BNs to capture complex relationships among indicators, overcoming the limitations of traditional methods that rely on linear assumptions. Using probabilistic early warning thresholds instead of deterministic estimates enables risk prediction. The results show the following. (1) The resilience early warning level of China’s NEV export MSC is moderate. Among primary indicators, withstand capacity has a minor warning level, trending toward moderate. Adaptive capacity and External environment are at a moderate level, trending toward severe. Learning capacity is at a moderate level, trending toward minor. (2) Sensitivity analysis shows that Technology Improvement and Innovation Ability is the most influential secondary indicator (0.7360), followed by Security Risk (0.4310) and Government Risk (0.2310). This study advances theoretical understanding of MSC resilience assessment and provides data-driven tools to mitigate escalating international maritime disruption risks, supporting the stable development of China’s NEV export industry and global MSC networks. - Research Article15 September 2026
Spatiotemporal Variations of Tidal Asymmetry Along the Coast of Taiwan: Characteristics and Implications
Ting-Chieh Lin, Tai-Wen Hsu, Tzu-Chun Huang, Chun-Yuan LinThis study presents the first systematic investigation into the spatiotemporal characteristics and evolutionary trends of tidal asymmetry along the coast of Taiwan from 2003 to 2022, employing a moving window method combined with the S_TIDE toolbox. By quantifying the skewness of the Main Tidal Asymmetry Combinations (MTAC) and their temporal variations, the study reveals significant regional disparities between the eastern and western coasts. The western coast is primarily dominated by the M2-M4 combination, with the northwestern region exhibiting a flood dominance pattern and the southwestern region characterized by ebb dominance. Conversely, the eastern coast, attributed to its open topography and minimal tidal wave deformation, is mainly influenced by the O1-K1-M2 combination and displays weaker overall asymmetry. Notably, the study identifies that specific regions, such as HsinChu and DongShi, are driven by variations in the amplitude of the shallow-water M4 constituent, leading to a significant intensification of tidal asymmetry over time. Comparative analysis using satellite imagery demonstrates a strong correlation between shoreline evolution (e.g., erosion and accretion) and the observed trends in tidal asymmetry. These findings elucidate the regional zonation and evolutionary trends of tidal asymmetry in Taiwan, offering a crucial quantitative scientific basis for coastal defense and adaptation strategies
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