Application Progress and Prospect of Argus System in Beach Research in China
Received date: 2018-12-20
Revised date: 2019-03-12
Online published: 2019-07-04
Supported by
Project supported by the Public Science and Technology Research Funds Projects of Ocean “Research and application on management technology of island tourism beach”(No. 201405037)
Reliable, continuous and long-term data is needed in order to understand precisely the evolution of a beach system. Because of the advantages of real-time, low cost, simple operation, strong adaptability, high resolution and continuous data, Argus video monitoring system has developed rapidly in recent years, and its research and application fields have gradually expanded. Composition of the Argus system was briefly introduced, and the application of this system in beach research in China was described, and the accuracy of the extracted data was analysed. It was shown that the average vertical and plane distance error is 0.145 m and 11.73 m respectively, which depends on the distance from Argus observatory. Argus system has been widely used in beach research abroad, but it is still in the early stage in China. In the future, it is expected to provide more powerful and perfect technical support in coastal engineering construction evaluation, coastal hydrodynamic monitoring and bathymetry inversion, beach tourism management and research on morphodynamic evolution of estuary sand spits.
Key words： Argus system; Beach study; Data extraction; Video monitoring.
Lianqiang Shi , Junli Guo , Haijiang Liu , Qinghua Ye . Application Progress and Prospect of Argus System in Beach Research in China[J]. Advances in Earth Science, 2019 , 34(5) : 552 -560 . DOI: 10.11867/j.issn.1001-8166.2019.05.0552
| 1 | Yu Jitao , Chen Zishen . Study progress of sandy coastal erosion [J]. Tropical Geography, 2009, 29 (2): 112-118. |
| 1 | 于吉涛，陈子燊 . 砂质海岸侵蚀研究进展[J]. 热带地理，2009，29(2): 112-118. |
| 2 | Liu Haijiang , Shi Lianqiang . Nearshore real-time in situ video monitoring technique—The ARGUS system [J]. The Ocean Engineering, 2016，34 (2): 80-87. |
| 2 | 刘海江，时连强 . 海岸带实时实地视频观测ARGUS技术[J]. 海洋工程，2016，34(2): 80-87. |
| 3 | Zhang Suoping , Zhang Chuntian . An introduction to nearshore video image observation [J]. The Ocean Technology, 2006，25(1): 11-19. |
| 3 | 张锁平，张春田 .近海视频测量与应用[J]. 海洋技术，2006，25(1): 11-19. |
| 4 | Aarninkhof S G J . Nearshore Bathymetry Derived from Video Imagery [M]. Delft： Delft University Press, 2003. |
| 5 | Holland K T , Holman R A . Video estimation of foreshore topography using trinocular stereo[J]. Journal of Coastal Research, 1997, 13(1): 81-87. |
| 6 | Lippmann T C , Holman R A . Quantification of sand bar morphology: A video technique based on wave dissipation [J]. Journal of Geophysical Research, 1989, 94(C1): 995-1 011. |
| 7 | Li Yuan . Preliminary Application of Argus in the Topography Evolution of Dongsha Beach [D]. Hangzhou: Second Institute of Oceanography, State Oceanic Administration, 2017. |
| 7 | 李源 . Argus在东沙海滩地形地貌演变中的初步应用[D].杭州：国家海洋局第二海洋研究所, 2017. |
| 8 | Guo Junli . Beach Response to Continuous Storms Using Argus Monitoring Data: A Case Study of Dongsha Beach in Zhoushan [D]. Nanjing: Nanjing University, 2018. |
| 8 | 郭俊丽 . 基于Argus监测数据的海滩对连续风暴的响应——以舟山东沙海滩为例[D].南京：南京大学, 2018. |
| 9 | Elko N A , Holman R A , Gelfenbaum G . Quantifying the rapid erosion of a nourishment project with video imagery [J]. Journal of Coastal Research, 2005, 214(4): 633-645. |
| 10 | Siegle E , Huntley D A , Davidson M A . Coupling video imaging and numerical modelling for the study of inlet morphodynamics [J]. Marine Geology, 2007, 236(3): 143-163. |
| 11 | Ruggiero P , List J H . Improving accuracy and statistical reliability of shoreline position and change rate estimates [J]. Journal of Coastal Research, 2009, 25(5):1 069-1 081. |
| 12 | Alegria A R D , Masselink G . Storm response and beach rotation on a gravel beach, Slapton Sands, UK[J]. Marine Geology, 2010, 278(1/4): 77-99. |
| 13 | Archetti R , Paci A , Carniel S , et al . Optimal index related to the shoreline dynamics during a storm: The case of Jesolo beach [J]. Natural Hazards and Earth System Sciences, 2015, 3(11):7 089-7 134. |
| 14 | Grunnet N M ， Ruessink B G . Morphodynamic response of nearshore bars to a shoreface nourishment [J]. Coastal Engineering，2005，52（2）：119-137. |
| 15 | Castelle B , Turner I L , Bertin X , et al . Beach nourishments at Coolangatta Bay over the period 1987-2005: Impacts and lessons [J]. Coastal Engineering, 2009, 56(9): 940-950. |
| 16 | Ruessink B G , Van der Grinten R M , Vonh?gen-Peeters L , et al . Nearshore evolution at Noordwijk (NL) in response to nourishments, as inferred from Argus video imagery[C] //Kranenburg W M , Horstman E M , Wijnberg K M ,eds . Crossing Borders in Coastal Research, Jubilee Conference Proceedings, 20th NCK-days. Enschede, 2012. |
| 17 | Archetti R , Gaeta M G . Wave run-up observation and 2DV numerical investigation on beaches protected by structures [C]//Coastal Engineering Proceedings. Santander, Spain, 2012. |
| 18 | Sancho-García A ， Guillén J ， Ojeda E . Storm-induced readjustment of an embayed beach after modification by protection works [J]. Geo-Marine Letters, 2013, 33(2/3): 159-172. |
| 19 | Stockdon H F , Holman R A . Estimation of wave phase speed and nearshore bathymetry from video imagery [J]. Journal of Geophysical Research, 2000, 105(C9): 22 015-22 033. |
| 20 | Chickadel C C . Remote Measurements of Waves and Currents Over Complex Bathymetry [D]. Oregon:Oregon State University, 2007. |
| 21 | Poate T , Russell P . Response of high-energy, macrotidal beaches to seasonal changes in wave conditions: Examples from North Cornwall, UK [J]. Journal of Coastal Research, 2009, 25(1):747-751. |
| 22 | Bergsma E W J , Conley D C , Davidson M A , et al . Video-based nearshore bathymetry estimation in macro-tidal environments [J]. Marine Geology, 2016, 374: 31-41. |
| 23 | Van Enckevort I M J . Daily to Yearly Nearshore Bar Behaviour [D]. Netherlands: Utrecht University, 2001. |
| 24 | Armaroli C , Ciavola P . Dynamics of a nearshore bar system in the northern Adriatic: A video-based morphological classification [J]. Geomorphology, 2011, 126(1/2): 201-216. |
| 25 | Masselink G , van Heteren S . Response of wave-dominated and mixed-energy barriers to storms [J]. Marine Geology, 2014, 352: 321-347. |
| 26 | Austin M , Scott T , Brown J , et al . Temporal observations of rip current circulation on a macro-tidal beach [J]. Continental Shelf Research, 2010, 30(9): 1 149-1 165. |
| 27 | Prodger S . Argus Observations of Rip Current Variability Along a Macro-tidal Beach [D]. England: Plymouth University, 2012. |
| 28 | Scott T , Masselink G , Austin M J , et al . Controls on macrotidal rip current circulation and hazard [J]. Geomorphology, 2014, 214: 198-215. |
| 29 | Scott T , Austin M , Masselink G , et al . Dynamics of rip currents associated with groynes—Field measurements, modelling and implications for beach safety [J]. Coastal Engineering, 2016, 107: 53-69. |
| 30 | Osorio A . Technical Development and Methodologies Based on Video Systems for the Management of the Coast [D]. Spain:University of Cantabria, 2005. |
| 31 | Jiménez J A , Osorio A , Marino-Tapia I , et al . Beach recreation planning using video-derived coastal state indicators[J]. Coastal Engineering, 2007, 54(6/7): 507-521. |
| 32 | Guillén J , García-Olivares A , Ojeda E , et al . Long-term quantification of beach users using video monitoring [J]. Journal of Coastal Research, 2008, 24(6):1 612-1 619. |
| 33 | Balouin Y , Rey-Valette H , Picand P . Automatic assessment and analysis of beach attendance using video images at the lido of Sète Beach, France[J]. Ocean & Coastal Management, 2014, 102: 114-122. |
| 34 | Medellín G , Medina R , Falqués A , et al . Coastline sand waves on a low-energy beach at “EI Puntal” spit, Spain [J]. Marine Geology, 2008, 250(3/4):143-156. |
| 35 | Liu H ，Tajimay， Sato S . Long-term monitoring on the sand spit morphodynamics at the Tenryu River Mouth [C]//Proceedings of 32nd Conference on Coastal Engineering. Shanghai, China, 2010. |
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