Landsat Image-Based Spatiotemporal Variation Analysis of Erosion and Deposition off the Qingshuigou of the Yellow River Delta from 1984 to 2021

作     者：DONG Sheng LI Songda TAO Shanshan 

作者机构：College of Engineering Ocean University of China 

出 版 物：《Journal of Ocean University of China》 (中国海洋大学学报)

年 卷 期：2024年第23卷第5期

页      面：1173-1184页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081802[工学-地球探测与信息技术] 0709[理学-地质学] 081803[工学-地质工程] 07[理学] 08[工学] 081501[工学-水文学及水资源] 0818[工学-地质资源与地质工程] 0815[工学-水利工程] 081602[工学-摄影测量与遥感] 0816[工学-测绘科学与技术] 

基　　金：supported by the National Key Research and Development Program of China (No. 2022YFC3204301) 

主　　题：coastline erosion and deposition remote sensing wavelet analysis Yellow River Delta 

摘      要：Owing to climate change and human activity, the Qingshuigou of the Yellow River Delta(YRD) has undergone dynamic changes in erosion and deposition. Therefore, studying these changes is important to ensure ecological protection and sustainable development. In this study, the trend of erosion-deposition evolution in the Qingshuigou was investigated based on 38 coastline phases extracted from Landsat series images of the YRD at one-year intervals from 1984 to 2021. The periodicity of the scouring and deposition evolution was also analyzed using wavelet analysis. Results showed that the total area of the Qingshuigou was affected by deposition and erosion and that the fluctuation first increased and then decreased. The total area reached a maximum in 1993. The depositional area first increased and then decreased, whereas the overall erosion area decreased. Deposition and erosion areas showed periodic changes to some extent; however, the periodic signal intensity decreased. Furthermore, factors including channel morphological evolution and variations in water and sediment discharge affect the spatiotemporal dynamics of erosion and deposition processes. The application of nonconsistency tests finally revealed that deposition area and flushing magnitude exhibited non-stationarities, which are potentially attributed to impacts from climatic change drivers.