海洋地质与第四纪地质2026，Vol.46Issue(4)：38-53,16.DOI:10.16562/j.cnki.0256-1492.2025112801
山东半岛东部桑沟湾1985-2025年岸线演变及其驱动因素分析
Shoreline evolution and its driving factors in Sanggou Bay,eastern Shandong Peninsula from 1985 to 2025
摘要
Abstract
Based on Landsat imagery from 1985-2025,an integrated MNDWI-Otsu-Canny algorithm was applied to extract a 40-year shoreline time series of the Sanggou Bay,Weihai,Shandong.A multi-source data fusion framework was established combining satellite remote sensing,UAV photogrammetry,and RTK positioning,and the EOT20 tidal model was employed to normalize multi-temporal shorelines to a mean sea level(MSL)datum.Sandy shoreline segments were quantitatively analyzed using the Digital Shoreline Analysis System(DSAS),and results were interpreted together with ERA5 wind-wave reanalysis data,tidal current observations,and the history of coastal development to elucidate the shoreline evolution patterns and driving mechanisms.Results indicate:(1)the shoreline has been obviously artificialized.Over the 40-year period,the total shoreline length increased from 49.41 km to 55.05 km,of which the artificial proportion rose from 24%to 55%and has become the dominant type,while sandy and rocky shorelines declined continuously.(2)Sandy shorelines exhibit an overall erosional trend,and the mean Net Shoreline Movement of-17.33 m,End Point Rate of-0.43 m/a,and Linear Regression Rate of-0.17 m/a were noticed,displaying a distinct spatial pattern of"light erosion in the north,intensive erosion in the south,and accretion in both flanks".(3)Shoreline evolution is driven by the coupled effects of natural dynamics and anthropogenic activities.Wave action serves as the primary controlling factor,exerting persistent erosion on sandy shorelines;tidal asymmetry and geomorphological configuration jointly regulate the sediment transport patterns.Combined with human activities,these multiple factors interact to drive shoreline evolution.This study innovatively integrates UAV-RTK high-precision topographic surveying with Landsat time-series remote sensing,applying a tidal position correction method based on measured intertidal slope gradients,which effectively reduced systematic errors in shoreline extraction caused by tidal range variations and provided a quantitative basis for uncertainty assessment in long-term shoreline evolution analysis.This research revealed the evolution mechanisms of shorelines in a semi-enclosed bay and offered scientific guidance for shoreline management and sustainable coastal zone governance in Sanggou Bay.关键词
海岸线演变/数字岸线分析系统/潮汐校正/无人机-RTK/多源数据融合/桑沟湾Key words
shoreline evolution/Digital Shoreline Analysis System/tidal correction/UAV-RTK/multi-source data fusion/Sanggou Bay分类
海洋科学引用本文复制引用
张少奇,薛碧颖,陈斌,岳保静,徐刚,邹亮,许帅,胡睿,仇建东,王蜜蕾..山东半岛东部桑沟湾1985-2025年岸线演变及其驱动因素分析[J].海洋地质与第四纪地质,2026,46(4):38-53,16.基金项目
国家地质调查专项"我国重点海域海洋自然资源综合调查与评价"(DD202303005) （DD202303005）
部省合作项目"山东半岛东南部海域海洋生态保护修复效果关键技术研究"(2024ZRBSHZ111) （2024ZRBSHZ111）
