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利用遥感技术进行河流长期延伸动态及其转变检测:以湄公河和恒河为例。

Long-term river extent dynamics and transition detection using remote sensing: Case studies of Mekong and Ganga River.

机构信息

National Cheng Kung University, Tainan City, 701, Taiwan.

National Cheng Kung University, Tainan City, 701, Taiwan.

出版信息

Sci Total Environ. 2023 Jun 10;876:162774. doi: 10.1016/j.scitotenv.2023.162774. Epub 2023 Mar 11.

DOI:10.1016/j.scitotenv.2023.162774
PMID:36914133
Abstract

River dynamics are currently comprehensively studied at either a bankline or reach-scale level. Monitoring large-scale and long-term river extent dynamics provides fundamental insights relevant to the impact of climatic factors and anthropogenic activities on fluvial geomorphology. This study analyzed the two most populous rivers, Ganga and Mekong, to understand the river extent dynamics using 32 years of Landsat satellite data (1990-2022) in a cloud computing platform. This study categorizes river dynamics and transitions using the combination of pixel-wise water frequency and temporal trends. This approach can demarcate the river channel stability, areas affected by erosion and sedimentation, and the seasonal transitions in the river. The results illustrate that the Ganga river channel is found to be relatively unstable and very prone to meandering and migration as almost 40 % of the river channel has been altered in the past 32 years. The seasonal transitions, such as lost seasonal and seasonal to permanent changes are more prominent in the Ganga river, and the dominance of meandering and sedimentation in the lower course is also illustrated. In contrast, the Mekong river has a more stable course with erosion and sedimentation observed at sparse locations in the lower course. However, the lost seasonal and seasonal to permanent changes are also dominant in the Mekong river. Since 1990, Ganga and Mekong rivers have lost approximately 13.3 % and 4.7 % of their seasonal water respectively, as compared to the other transitions and categories. Factors such as climate change, floods, and man-made reservoirs could all be critical in triggering these morphological changes.

摘要

目前,河流动力在岸线或河段落尺度上得到了全面研究。监测大范围和长期的河流延伸动态,为了解气候因素和人为活动对河流地貌的影响提供了基本的见解。本研究使用云计算平台中的 32 年 Landsat 卫星数据(1990-2022 年),分析了两条人口最多的河流,恒河和湄公河,以了解河流延伸动态。本研究使用像素级水频和时间趋势的组合对河流动态和转换进行分类。这种方法可以划定河道稳定性、受侵蚀和沉积影响的区域以及河道季节性转换的界限。结果表明,恒河河道被发现相对不稳定,非常容易发生弯曲和迁移,因为在过去的 32 年中,近 40%的河道已经发生了变化。季节性转换,如季节性丧失和季节性向永久性变化,在恒河更为突出,下游弯曲和沉积的主导地位也得到了说明。相比之下,湄公河河道更为稳定,在下游稀疏处观察到侵蚀和沉积。然而,季节性丧失和季节性向永久性变化在湄公河也占主导地位。自 1990 年以来,与其他转换和类别相比,恒河和湄公河分别失去了约 13.3%和 4.7%的季节性水。气候变化、洪水和人为水库等因素都可能在引发这些地貌变化方面起着关键作用。

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