Decadal shoreline changes and effectiveness of coastal protection measures post-tsunami on 26 December 2004

IF 2.3 Q2 REMOTE SENSING
Ella Meilianda, Syahrul Mauluddin, Biswajeet Pradhan, Sugianto Sugianto
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引用次数: 0

Abstract

Shoreline changing position along the coast is an immediate and long-term indicator determined by the interplaying driving forces across the dry and wet parts of coastal areas. Extreme waves, such as tsunamis, may result in a remarkable shift of shoreline position and a change of sediment transport regime, thus potentially inducing coastal hazards. This work investigates the multi-temporal changes and development of shorelines at the tsunami-affected coast nearly two decades after the Indian Ocean tsunami on 26 December 2004. Additionally, the dynamic responses of the coast to the man-made coastal structures as a means of protection measures during the observed period are also evaluated. This study uses the US Army’s Digital Shoreline Analysis System (DSAS) extension in the ArcGIS to calculate the multi-temporal shoreline changes and erosion/accretion rates. Multi-temporal shoreline vectors delineated from the LANDSAT satellite images are utilized to calculate the Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR) for the respective short-term and decadal-term shoreline change analysis. The shoreline change rates are examined at the three shoreline segments at Aceh coast, the north tip of Sumatra Island of Indonesia. The results show that Segment A has the highest erosion rate due to the 2004 tsunami (− 395.19 m/year) compared to Segment B (− 26.46 m/year) and Segment C (− 74.26 m/year). The 2004 tsunami has changed the coastal states from erosional coast prior to the tsunami to accretional coast in Segment A and C, and the eastern side of Segment B in almost two decades since the tsunami. Consequently, ignoring such phenomena in designing coastal protection measures may lead to structural failures such the ones identified in the investigated coast. Thus, a thorough investigation of shoreline change is fundamental for coastal managers, particularly in determining appropriate coastal protection measures.

2004年12月26日海啸后的海岸线年代际变化及海岸保护措施的成效
沿海岸线变化位置是由沿海干湿区相互作用的驱动力决定的一个即时和长期的指标。极端海浪,如海啸,可能导致海岸线位置的显著移动和沉积物输运机制的改变,从而潜在地诱发海岸灾害。本文研究了2004年12月26日印度洋海啸发生近20年后受海啸影响的沿海岸线的多时间变化和发展。此外,还对人工海岸结构在观测期间的动力响应进行了评价。本研究利用美国陆军的数字海岸线分析系统(DSAS)在ArcGIS中的扩展,计算了多时相海岸线变化和侵蚀/增生速率。利用LANDSAT卫星图像绘制的多时相海岸线矢量,分别计算净海岸线运动(NSM)、终点率(EPR)和线性回归率(LRR),用于短期和十年期海岸线变化分析。研究了印度尼西亚苏门答腊岛北端亚齐海岸三个海岸线段的海岸线变化速率。结果表明,2004年海啸对A段的侵蚀速率最高,为- 395.19 m/年,B段为- 26.46 m/年,C段为- 74.26 m/年。2004年的海啸在海啸发生近20年的时间里改变了A段和C段的海岸状态,从海啸前的侵蚀海岸变成了增生海岸,B段的东侧也发生了变化。因此,在设计海岸防护措施时忽视这些现象可能会导致结构破坏,例如在调查海岸中发现的结构破坏。因此,对海岸线变化进行彻底调查对海岸管理人员来说是至关重要的,特别是在确定适当的海岸保护措施方面。
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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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