A DSAS-based study of central shoreline change in Jiangsu over 45 years

Abstract

A large-scale sand ridge group is distributed in the central Jiangsu coastal area, and a deposition muddy sea bank was developed in the nearshore area. Quantitative monitoring of coastline changes is of great significance for tidal beach development and protection. The shorelines of the central coast of Jiangsu within six periods (1973–2018) were extracted in this study, and their length changes over the years were analyzed. The Digital Shoreline Analysis System (DSAS) was employed to generate a cross section perpendicular to the baseline and calculate the linear regression rate (LRR) of the shoreline, changes in end point rate (EPR), and net shoreline movement (NSM), based on which the shoreline change features were analyzed. The DSAS results indicated that the shorelines in the study area maintained fluctuating growth and presented a continuous advancing trend towards the sea. From the changes in shoreline evolution distance during 1973–2018, the advancing shorelines in the study area accounted for over 50% of the total shorelines and presented first rising and then declining trends with the period of 2003–2013 taken as the time boundary. The average shoreline change rate was 207 m/year, and the periods with the highest change degrees were 1983–1993 and 1993–2013. The shoreline change tended to be stable during 2013–2018, and only a few estuaries and ports underwent obvious erosion and sedimentation.

Analysis of Manyas Lake Surface Area and Shoreline Change Over Various Periods with DSAS Tool

“…The EPR statistic is calculated by dividing the old and new shoreline change distance in the determined period by time (Kılar & Çiçek, 2018). EPR results are used to explain the amount of annual coastal erosion and deposition (Song et al, 2021). SCE represents the greatest distance between all shorelines temporally over a given transect.…”

“…Temporal and spatial detection of the changes that occur and modelling with quantitative data play a very important role in the planning and management of coastal change and in determining the extent of change and risk of ecological conditions (Davidson-Arnott, 2010;Grottolli et al, 2023). In this respect, shoreline change in Turkey and the world is analysed by applying various techniques in many different areas (Tağıl & Cürebal 2005;Darwish et al, 2017;Ataol et al, 2019;Topuz, 2018;Kılar & Çiçek, 2018;Çoban, 2020;Song et al, 2021;Uzun, 2021;Yasir et al, 2021;Bombino et al, 2022;Gómez-Pazo et al, 2022;Kazı & Karabulut, 2023;Murray et al, 2023).…”

Shoreline Changes and Sediment Transport along Nhat Le Coast, Vietnam

“…To conduct the shoreline monitoring, the traditional methods of ground survey are not only time-consuming, but also not practical enough for large area monitoring. So, the remote sensing analysis method has been deployed in many studies regarding different countries [19][20][21][22]. In Vietnam, many researches applied the Digital Shoreline Analysis System (DSAS) to detect the shoreline changes.…”

A GIS Procedure to Assess Shoreline Changes over Time Using Multi-temporal Maps: An Analysis of a Sandy Shoreline in Southern Italy over the Last 100 Years

“…In this research paper, a DSAS tool is used to analyse the evolution of a sandy shoreline and this tool has been used with considerable success in numerous research studies and applications [26][27][28][29][30]. For example, Nassar et al [30] described shoreline change detection along the North Sinai coast in Egypt during the period from 1989 to 2016.…”