Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-115-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-115-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jan 2021
Research article |
| 14 Jan 2021
| 14 Jan 2021
Beachgoers' ability to identify rip currents at a beach in situ
Sebastian J. Pitman
CORRESPONDING AUTHOR
School of Earth and Environment, University of Canterbury, Canterbury, New Zealand
Katie Thompson
School of Earth and Environment, University of Canterbury, Canterbury, New Zealand
Deirdre E. Hart
School of Earth and Environment, University of Canterbury, Canterbury, New Zealand
Kevin Moran
School of Curriculum and Pedagogy, University of Auckland, Auckland, New Zealand
Shari L. Gallop
School of Science, University of Waikato, Tauranga, New Zealand
Environmental Research Institute, University of Waikato, Hamilton, New Zealand
Robert W. Brander
School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, Australia
Adam Wooler
Surf Life Saving New Zealand, Wellington, New Zealand
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Total article views: 4,563 (including HTML, PDF, and XML)
Thereof 4,137 with geography defined
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Total article views: 938 (including HTML, PDF, and XML)
Thereof 877 with geography defined
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Cited
25 citations as recorded by crossref.
- QUANTITATIVE EVALUATION OF RECOGNITION ABILITY FOR RIP CURRENTS WITH DIFFERENT CHARACTERISTICS USING VIRTUAL REALITY AND EYE-TRACKING S. WADA et al.
- Evaluating the impact of skill development for drowning prevention: a relationship-building approach to community engagement P. Kamstra et al.
- Comparing the effectiveness of an interactive immersive virtual reality experience and a desktop game for beach safety education with children in Australia A. Santiago et al.
- Assessing risk associated with recreational activities in coastal areas by using a bayesian network M. Lee et al.
- Samsun-Atakum Kıyılarının Rip Akıntı Tehlikesinin İncelenmesi D. ÖZTÜRK & E. MARAŞ
- Awareness without learning: A preliminary study exploring the effects of beachgoer's experiences on risk taking behaviours P. Kamstra et al.
- Interpretable Deep Learning Applied to Rip Current Detection and Localization N. Rampal et al.
- Surf zone-related drownings and injuries based on lifeguard records in Goa beaches (2008–2020) C. Venkateswarlu et al.
- Preliminary Investigation and Analysis of Beachgoers’ Awareness of Rip Currents in South China D. Zhu et al.
- Une lecture multidimensionnelle des différents rapports au risque chez les baigneurs à l’océan J. Dehez et al.
- Characteristics and beach safety knowledge of beachgoers on unpatrolled surf beaches in Australia L. Uebelhoer et al.
- Box2Rip: Instance Segmentation of Amorphous Rip Currents via Box-Supervised Learning J. Choi et al.
- Engaging beachgoers for drowning prevention: the spillover effects on non-participants P. Kamstra et al.
- The unexplored role of surfers in drowning prevention: Aotearoa, New Zealand as a case study J. Mead et al.
- A Deep Learning-Integrated Framework for Operational Rip Current Warning L. Chuang et al.
- Rip current detection methods: A bibliometric perspective with coastal governance insights A. Marqués-Alonso et al.
- A multidimensional approach to manage rip current danger and enhancing safety at beaches S. Arun Kumar et al.
- Field observation and numerical analysis of rip currents at Ten-Mile Beach, Hailing Island, China P. Hu et al.
- Identifying risk factors and implications for beach drowning prevention amongst an Australian multicultural community M. Woods et al.
- Policies and actions to support surfers in drowning prevention: insight from Aotearoa New Zealand L. Le Dé & J. Mead
- Evaluating the effectiveness of a science-based community beach safety intervention: The Science of the Surf (SOS) presentation R. Brander et al.
- Can the visualization of rip currents prevent drowning accidents? Consideration of the effect of optimism bias S. Endo et al.
- ‘I actually thought that I was going to die’: Lessons on the rip current hazard from survivor experiences S. Cornell et al.
- Beach user competencies in rip current identification using videos and photographs on a New Zealand surf beach R. Irvine et al.
- Assessment of water safety competencies: Benefits and caveats of testing in open water T. Duijn et al.
25 citations as recorded by crossref.
- QUANTITATIVE EVALUATION OF RECOGNITION ABILITY FOR RIP CURRENTS WITH DIFFERENT CHARACTERISTICS USING VIRTUAL REALITY AND EYE-TRACKING S. WADA et al.
- Evaluating the impact of skill development for drowning prevention: a relationship-building approach to community engagement P. Kamstra et al.
- Comparing the effectiveness of an interactive immersive virtual reality experience and a desktop game for beach safety education with children in Australia A. Santiago et al.
- Assessing risk associated with recreational activities in coastal areas by using a bayesian network M. Lee et al.
- Samsun-Atakum Kıyılarının Rip Akıntı Tehlikesinin İncelenmesi D. ÖZTÜRK & E. MARAŞ
- Awareness without learning: A preliminary study exploring the effects of beachgoer's experiences on risk taking behaviours P. Kamstra et al.
- Interpretable Deep Learning Applied to Rip Current Detection and Localization N. Rampal et al.
- Surf zone-related drownings and injuries based on lifeguard records in Goa beaches (2008–2020) C. Venkateswarlu et al.
- Preliminary Investigation and Analysis of Beachgoers’ Awareness of Rip Currents in South China D. Zhu et al.
- Une lecture multidimensionnelle des différents rapports au risque chez les baigneurs à l’océan J. Dehez et al.
- Characteristics and beach safety knowledge of beachgoers on unpatrolled surf beaches in Australia L. Uebelhoer et al.
- Box2Rip: Instance Segmentation of Amorphous Rip Currents via Box-Supervised Learning J. Choi et al.
- Engaging beachgoers for drowning prevention: the spillover effects on non-participants P. Kamstra et al.
- The unexplored role of surfers in drowning prevention: Aotearoa, New Zealand as a case study J. Mead et al.
- A Deep Learning-Integrated Framework for Operational Rip Current Warning L. Chuang et al.
- Rip current detection methods: A bibliometric perspective with coastal governance insights A. Marqués-Alonso et al.
- A multidimensional approach to manage rip current danger and enhancing safety at beaches S. Arun Kumar et al.
- Field observation and numerical analysis of rip currents at Ten-Mile Beach, Hailing Island, China P. Hu et al.
- Identifying risk factors and implications for beach drowning prevention amongst an Australian multicultural community M. Woods et al.
- Policies and actions to support surfers in drowning prevention: insight from Aotearoa New Zealand L. Le Dé & J. Mead
- Evaluating the effectiveness of a science-based community beach safety intervention: The Science of the Surf (SOS) presentation R. Brander et al.
- Can the visualization of rip currents prevent drowning accidents? Consideration of the effect of optimism bias S. Endo et al.
- ‘I actually thought that I was going to die’: Lessons on the rip current hazard from survivor experiences S. Cornell et al.
- Beach user competencies in rip current identification using videos and photographs on a New Zealand surf beach R. Irvine et al.
- Assessment of water safety competencies: Benefits and caveats of testing in open water T. Duijn et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
This study aimed to identify how well beach users could spot rip currents in real time at the beach. It was performed in response to the fact that rip currents are the leading cause of drownings on recreational beaches worldwide. We found that only one in five people were able to spot the rip current, meaning the vast majority would be unable to make good decisions about where it is safe to swim at the beach.
This study aimed to identify how well beach users could spot rip currents in real time at the...
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