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Longitudinal Sediment Profiling and Capacity Lost in Reservoir Using Multidate Sentinel-2 Images
Journal of the Indian Society of Remote Sensing ( IF 2.2 ) Pub Date : 2020-10-23 , DOI: 10.1007/s12524-020-01179-4
S. Jagannathan , M. Krishnaveni

Periodical monitoring is needed for reservoirs to ensure proper management against sedimentation. The amount of sediment retained by the reservoir or the amount of volume lost is the major factor to be assessed during monitoring. This study assesses the reservoir sedimentation of the Wellington Reservoir using Satellite Remote Sensing. The analysis was carried out using eight sentinel 2 images for the hydrologic years 2016–2017. The water spread area was acquired from satellite data based on supervised classification. The water level was found to be in fluctuation between 1.94 and 4.94 m in the period of data. Polynomial regression equations were used in finding the relation between the depths: water spread area and volume of reservoir. From the study, it was found that due to sedimentation, the gross storage capacity of the Wellington Reservoir has reduced from 73.05 to 52.56 Mm3 and the loss due to sedimentation is 28.04% in 92 years.

中文翻译:

使用多数据 Sentinel-2 图像进行水库纵向沉积物分析和容量损失

需要对水库进行定期监测,以确保对沉积进行适当的管理。水库保留的泥沙量或体积损失量是监测过程中要评估的主要因素。本研究使用卫星遥感评估惠灵顿水库的水库沉积。分析是使用 2016-2017 年水文年的八张哨兵 2 图像进行的。水扩散区域是从基于监督分类的卫星数据中获取的。数据期间发现水位在1.94-4.94 m之间波动。多项式回归方程被用于寻找深度之间的关系:水扩散面积和水库体积之间的关系。从研究中发现,由于沉降,
更新日期:2020-10-23
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