Department of Fisheries and Marine Sciences, Faculty of Fisheries and Ocean Sciences, Ocean University of Sri Lanka, Mahawela Road, Tangalle, Sri Lanka.
Environ Monit Assess. 2023 Apr 3;195(5):532. doi: 10.1007/s10661-023-11161-5.
Shoreline analysis helps to understand the coastal dynamism for decision-making in coastal management. As there are still doubts in transect-based analysis, this study attempts to understand the influence of transect intervals in shoreline analysis. Shorelines were delineated on high-resolution satellite images in Google Earth Pro for twelve beaches in Sri Lanka under different spatial and temporal scales. Shoreline change statistics were calculated using Digital Shoreline Analysis System in the ArcGIS 10.5.1 software under 50 transect interval scenarios, and influence of the transect interval for shoreline change statistics were interpreted using standard statistical methods. Transect interval error was calculated with respect to the 1 m scenario as this has the best beach representation. Results revealed that there is no any significant difference (p > 0.05) of shoreline change statistics between 1 and 50 m scenarios in each beach. Furthermore, it was found that the error was extremely low up to 10 m scenario and then after it was subject to fluctuate in an unpredictable manner (R < 0.5). Overall, the study concludes that the influence of the transect interval is negligible and 10-m transect interval is ideal in shoreline analysis for the highest efficacy in small sandy beaches.
海岸线分析有助于了解海岸动力，从而为海岸管理中的决策提供依据。由于基于横剖线的分析仍存在疑问，本研究试图了解横剖线在海岸线分析中的影响。在 Google Earth Pro 中的高分辨率卫星图像上，根据不同的时空尺度，对斯里兰卡的 12 个海滩进行了海岸线划定。在 ArcGIS 10.5.1 软件中，使用数字海岸线分析系统(Digital Shoreline Analysis System)，根据 50 个横剖线间隔场景计算了海岸线变化统计数据，并使用标准统计方法解释了横剖线间隔对海岸线变化统计数据的影响。考虑到 1 米的场景具有最佳的海滩代表性，因此，根据该场景计算了横剖线间隔误差。结果表明，在每个海滩中，1 米和 50 米场景之间的海岸线变化统计数据没有显著差异（p>0.05）。此外，研究还发现，在 10 米的场景之前，误差极低，然后误差会以不可预测的方式波动（R<0.5）。总的来说，本研究的结论是，横剖线间隔的影响可以忽略不计，在小沙滩的海岸线分析中，10 米的横剖线间隔是最理想的，因为其效果最高。
