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ORIGINAL RESEARCH article

Front. Mar. Sci.
Sec. Coastal Ocean Processes
Volume 11 - 2024 | doi: 10.3389/fmars.2024.1488577

Shoreline Change Analysis in the estuarine area of Rizhao based on remote sensing images and numerical simulation

Provisionally accepted
Zhaozi Zhang Zhaozi Zhang 1Zhenlu Wang Zhenlu Wang 1*Bingchen Liang Bingchen Liang 1Xue Leng Xue Leng 2Bo Yang Bo Yang 1Luming Shi Luming Shi 1
  • 1 Ocean University of China, Qingdao, China
  • 2 Rizhao Hydrology Center, Rizhao, China

The final, formatted version of the article will be published soon.

    The dynamic coastal environment is characterized by complex and variable interactions, often reflected in shoreline changes. This study analyzes shoreline changes in the estuarine area of Rizhao from 1985 to 2020 based on remote sensing images from Landsat 5 and Landsat 8.The largest shoreline changes were attributed to large-scale harbor construction, while relatively natural shorelines showed minor fluctuation. Due to the complex dynamics at the estuaries, shorelines on both sides of the estuaries were extracted and analyzed using the Digital Shoreline Analysis System (DSAS) in ArcGIS. Results indicate the southern shoreline experienced minor fluctuations, with a Linear Regression Rate (LRR) ranging from -2.27 m/y to 1.87 m/y. In contrast, the northern shoreline exhibited more significant fluctuations, with an LRR ranging from -7.62 m/y to 13.54 m/y, likely due to more intense dynamics near the cape and Muguan Island. Intra-annual seasonal shoreline was found to be more pronounced than inter-annual variations. Correlation analysis between the Net Shoreline Movement (NSM) and dynamic factor intensities across seasons revealed the highest correlation with runoff volume. Typhoon passages were observed to cause shoreline erosion, while sediment-laden runoff partially mitigated this erosion.

    Keywords: remote sensing, shoreline change, Delft-3D, estuary, DSAS

    Received: 30 Aug 2024; Accepted: 15 Nov 2024.

    Copyright: © 2024 Zhang, Wang, Liang, Leng, Yang and Shi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zhenlu Wang, Ocean University of China, Qingdao, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.