Observed water current and transport through Qiongzhou Strait during August 2010

Wang, Qingye; Xiang-wen, Wang; Xie, Lingling; Shang, Qingtong; Lu, Yuming

doi:10.1007/s00343-014-3159-6

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…This study also identified brief periods of reversal with daily oscillations during spring (Zhang et al, 2009). Wang et al (2014) employed ADCP observations and revealed an eastward flow on the surface of the middle strait in August 2010. The complexity of these findings underscores the need for further research to elucidate the dynamics of residual flows in the QS and the factors that influence their variability.…”

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confidence: 80%

Dynamics of currents in the Qiongzhou strait during spring and summer based on a numerical simulation

Zheng,

Wang,

et al. 2024

Front. Mar. Sci.

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A high-precision three-dimensional hydrodynamic model based on the Semi-implicit Cross-scale Hydroscience Integrated System Model (SCHISM) was constructed to investigate the characteristics of residual currents in the Qiongzhou Strait during spring and summer. Results reveal an overall westward transport in the strait during spring and summer. However, the results also support the potential occurrence of transient eastward Eulerian residual currents, which should be evident predominantly at the surface in the central and eastern sections of the strait and mainly characterised by subtidal oscillations. The direction and intensity of these residual currents indicate a pronounced influence of pressure gradient forces on both sides of the strait. The eastward flow observed in spring may represent a compensatory mechanism resulting from the relaxation period of long-term easterly winds, whereas the generation of eastward residual currents in summer is influenced by wind stress curl differences in both the western and eastern areas of the strait. The direct impact of the summer monsoon on the flow field in the strait is relatively weak. Additionally, the direction and intensity of the residual currents in the strait exhibit potential interannual variations that are directly associated with interannual wind variations. This study provides valuable insights in relation to the ongoing discourse on the dynamics of residual currents in the Qiongzhou Strait.

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confidence: 80%

Dynamics of currents in the Qiongzhou strait during spring and summer based on a numerical simulation

Zheng,

Wang,

et al. 2024

Front. Mar. Sci.

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“…e Qiongzhou Strait is a narrow passage of water between the South China Sea and the Beibu Gulf [54,55] at 20°09' N, 110°16' E [56]. e strait is about 70 km long and 30 km wide, with a maximum depth of 120 m [55] and minimum width of 18 km [57].…”

Section: Area Of Interestmentioning

confidence: 99%

Risk Cloud Model for Evaluating Nautical Navigational Environments

Chen

Tian

2021

Mathematical Problems in Engineering

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Uncertainty makes the risk evaluation of complex water transportation systems (WTSs) a difficult task. To achieve reasonable results while accounting for uncertainty, the risk evaluation of nautical navigational environments (NNEts) is often based on classical cloud model theory. This study proposes the concept of a risk cloud model (RCM) for NNEt evaluation and uses a fuzzy statistics-based computational approach to obtain the RCM parameters. As a case study, the proposed RCM method was applied to the risk evaluation of the Qiongzhou Strait. The performance of the proposed method was compared to those of a fuzzy theory-based method and an earlier proposed simplified algorithm. The results of the case study demonstrated the effectiveness of the proposed method along with several key advantages. First, the method could deal with uncertainty, take advantage of multichannel information, and evaluate risk features. Second, the RCM droplets intuitively displayed the qualitative and quantitative characteristics of risk levels, which facilitated understanding and analysis. Third, it showed a good sensitivity to ensure the refinement of evaluation results. The proposed method offered an improved approach to NNEt risk evaluation under uncertain conditions.

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“…Geographically, the Qiongzhou Strait is a narrow exchange passage of water between the South China Sea (SCS) and the Beibu Gulf, which is a coastal embayment adjacent to SCS [63,64], as shown in Figure 2. Centered at 20°09′N 110°16′E [65], the Qiongzhou Strait is about 70 km long and 30 km wide, and with a maximum depth of 120 m [64] and the narrowest width of only 18 km [66].…”

Section: Glance At Qiongzhou Straitmentioning

confidence: 99%

Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

Tian

Sun

Chen

et al. 2017

PROMET

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In order to set up a mathematical model suitable for nautical navigational environment risk evaluation and systematically master the navigational environment risk characteristics of the Qiongzhou Strait in a quantitative way, a risk assessment model with approach steps is set up based on the grey fixed weight cluster (GFWC INTRODUCTION 1.1 Research backgroundMaritime risk is one of the most important focus areas for waterway transportation. Researchers and maritime authorities have been paying special attention to the risky areas where traffic density is high for a long time. The high density and high risk for transportation increase the complexity of navigation safety management [1].Nowadays, lots of theories and models have been developed for maritime risk assessment. The concept of risk management gives risk assessment priority over taking response measures after an accident [2]. Reasonable and effective risk assessment and prediction of vessel traffic system have been studied in depth [3].There is no doubt that it is of great significance to evaluate nautical navigation environment appropriately, which demands enough of the original data, proper theories, and suitable mathematical models, etc. Related studies [4,5] show that the grey clustering decision-making, which is an important component of grey theory, is suitable for cluster analysis in case of a lack of data or object information. Given the above views, a grey fixed weight cluster (GFWC) model with implementation scheme will be established in this paper for comprehensive risk assessment of nautical navigational environment. Whereby: (1) as the fundamental step when carrying out an evaluation work, the evaluation index system is designed to be structured scientifically through literature review and expert investigation, (2) as one of the indispensable components, relative weight of each YANFEI TIAN, Ph.D. candidate 1,2

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Observed water current and transport through Qiongzhou Strait during August 2010

Cited by 5 publications

References 3 publications

Dynamics of currents in the Qiongzhou strait during spring and summer based on a numerical simulation

Dynamics of currents in the Qiongzhou strait during spring and summer based on a numerical simulation

Risk Cloud Model for Evaluating Nautical Navigational Environments

Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

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