Analysis and machine-learning-based prediction of beach accidents on a recreational beach in China DOI Open Access
Yuan Li, Jiqiang Tang, Chi Zhang

et al.

Anthropocene Coasts, Journal Year: 2024, Volume and Issue: 7(1)

Published: Dec. 30, 2024

Abstract Beachgoers are sometimes exposed to coastal hazards, yet comprehensive analyses of characteristics and potential factors for beach accidents rarely reported in China. In this study, information on was collected a recreational from 2004 2022 by searching the web or apps. The were therefore analysed terms age, gender, activity beachgoers. resolved environmental aspects meteorology, waves, tides, morphology. Results show that mainly occur summer, with highest occurrence afternoon evening. number male beachgoers is five times higher than females. 90% when at high-risk level rip currents, providing evidence accuracy risk map built previous study. Three machine learning models, i.e., Support Vector Machine, Random Forest, BP Neural Networks, trained predict accidents. performances these three algorithms evaluated precision, recall, F1 score. Machine Networks significantly outperform Forest prediction. predicting "safe" "dangerous" classes approximately 80% model. This paper provides preliminary study based accident prediction specific tourist beach. future, will be applied throughout mainland

Language: Английский

Experimental and non-hydrostatic modelling of wave transformation and runup on a reef-fronted beach DOI
Chi Zhang, Shubin Chen, Yuan Li

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 321, P. 120360 - 120360

Published: Jan. 17, 2025

Language: Английский

Citations

0
Experimental investigation on wave roller area evolution in the surf zone DOI Creative Commons
Yuefeng Wu, Qinghe Zhang, Ziming Liu

et al.

Applied Ocean Research, Journal Year: 2025, Volume and Issue: 155, P. 104460 - 104460

Published: Feb. 1, 2025

Language: Английский

Citations

0
Parameterization of surface roller evolution in wave-induced current modeling DOI
Chao Ji, Qi Jiang, Dianguang Ma

et al.

Ocean Modelling, Journal Year: 2025, Volume and Issue: unknown, P. 102522 - 102522

Published: Feb. 1, 2025

Language: Английский

Citations

0
Numerical investigation of the influence of coastal structure removal on sand spit morphology DOI Creative Commons

Shanhang Chi,

Chi Zhang, Weiqiu Chen

et al.

Applied Ocean Research, Journal Year: 2025, Volume and Issue: 158, P. 104560 - 104560

Published: April 14, 2025

Language: Английский

Citations

0
A new wave breakpoint detection method and wave breaking parameters direct estimator based on spatial wave-by-wave analysis DOI
Lipeng Zhang, Jian Shi, Wei Liu

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 330, P. 121224 - 121224

Published: April 18, 2025

Language: Английский

Citations

0
Exploration and estimation: connecting hydrodynamic responses and hazard potential to coral reef characteristics DOI Open Access
Deborah Villarroel-Lamb, Andrew Williams, Simone Ganpat

et al.

Anthropocene Coasts, Journal Year: 2025, Volume and Issue: 8(1)

Published: May 7, 2025

Abstract Coastal areas are one of the most vulnerable regions being subjected to multiple hazards while sheltering people, diverse ecosystems, key infrastructure and other assets. Climate change will produce expected changes drivers affecting these hazardous events which when coupled with uncertainty degree adverse impacts, place coastal communities in intractable circumstances. In limited access human financial resources, like Caribbean Small Island Developing States (SIDS), there must be a focus on practical solutions tools that can support optimal decision-making areas. The adoption nature-based approaches is but solution mitigating potentially deleterious effects, reducing vulnerability enhancing resilience. Through physical modelling, this study explores how selected characteristics synthesized offshore coral reefs affect hydrodynamics nearshore zone seeks formulate quantitative relationships for applications. These serve assessment present-day levels protection offered by provide an insight into future ecosystems conditions, whether caused man or natural influences, hydrodynamics. Assessment potential under different scenarios allow holistic optimization proposed solutions. outputs demonstrated good correlation between wave height after reef above velocities incident width water depths reef. experimental results also trends observed from studies terms attenuation, albeit smaller extent. assessed parameters generally corroborated anticipated patterns although reflection flume appeared skew some output. expressions produced study, though given scope, demonstrate methodology readily augmented improve existing order implement hazard mitigation strategies not only reduce risk assets areas, incorporate systems meaningful way valuable co-benefits communities.

Language: Английский

Citations

0
Analysis of Sandbar–Trough Bed Level Changes Under Regular Wave Conditions—A Case Study of Ten-Mile Silver Beach, Hailing Island, China DOI Creative Commons
Xiaodong Bian, Zhiqiang Li, Yan Sun

et al.

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(5), P. 953 - 953

Published: May 14, 2025

Understanding the evolution of sandbar–trough system under regular wave conditions is essential for revealing dynamic responses coastal morphology in non-extreme environments and provides a scientific basis long-term beach stability assessments erosion management. This study conducted three-day field observation on Ten-Mile Silver Beach, Hailing Island, China, to investigate coupling relationships between hydrodynamic factors bed elevation changes during morphological system. The results indicate that gravity (>0.04 Hz) energy key driver changes. During phase, increases, peak frequency shifts toward lower frequencies, accompanied by contraction low-frequency an expansion high-frequency energy. In contrast, accretion phase exhibits opposite pattern. As developed, explanatory power decreased 41% trough region increased 3.7% sandbar region, indicating spatially differentiated pattern characterized weakened forcing enhanced response over sandbar. geomorphic adjustment process, area exhibited sensitivity, with energy, near-infragravity (0.01–0.04 far-infragravity (0.004–0.01 mean height, significant steepness reversing their influence directions elevation. maintained more stable control mechanism, only undergoing shift. enhances understanding geomorphology–hydrodynamics within nearshore systems theoretical insights technical support monitoring evaluating processes normal conditions.

Language: Английский

Citations

0
Experimental investigation of evolution of infragravity waves over a large-scale shoal DOI
Zhiling Liao, Ye Liu, Wenhe Liu

et al.

Coastal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 104687 - 104687

Published: Dec. 1, 2024

Language: Английский

Citations

0
Analysis and machine-learning-based prediction of beach accidents on a recreational beach in China DOI Open Access
Yuan Li, Jiqiang Tang, Chi Zhang

et al.

Anthropocene Coasts, Journal Year: 2024, Volume and Issue: 7(1)

Published: Dec. 30, 2024

Abstract Beachgoers are sometimes exposed to coastal hazards, yet comprehensive analyses of characteristics and potential factors for beach accidents rarely reported in China. In this study, information on was collected a recreational from 2004 2022 by searching the web or apps. The were therefore analysed terms age, gender, activity beachgoers. resolved environmental aspects meteorology, waves, tides, morphology. Results show that mainly occur summer, with highest occurrence afternoon evening. number male beachgoers is five times higher than females. 90% when at high-risk level rip currents, providing evidence accuracy risk map built previous study. Three machine learning models, i.e., Support Vector Machine, Random Forest, BP Neural Networks, trained predict accidents. performances these three algorithms evaluated precision, recall, F1 score. Machine Networks significantly outperform Forest prediction. predicting "safe" "dangerous" classes approximately 80% model. This paper provides preliminary study based accident prediction specific tourist beach. future, will be applied throughout mainland

Language: Английский

Citations

0