Reassessment of Reservoir Sedimentation Rates under a Monsoon Climate with Combined Optical and Microwave Remote Sensing: A Case Study of Three Reservoirs in the Upper Godavari Basin, India

IF 2.2 4区 工程技术 Q2 ENGINEERING, CIVIL Journal of Hydrologic Engineering Pub Date : 2023-11-01 DOI:10.1061/jhyeff.heeng-5995
Joy Sanyal, Anuva Chowdhury
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引用次数: 1

Abstract

Remote sensing is widely used for monitoring reservoir capacities. The relationship between two water levels (WLs) and the corresponding satellite-derived water spread areas provides the reservoir volume between the two WLs. However, the accuracy of this method depends on the ability to capture the water spread areas at fine increments of WLs so that the cross section of a reservoir is represented in adequate detail. In a monsoon climate, persistent cloud cover during the rainy season limits the number of usable optical satellite images. Hence, the time interval between two successive WLs for which cloud-free images are available is generally large. Using only a few WLs increases the likelihood of missing a significant break of slope in the reservoirs that may lead to gross error in the storage measurement. We showed that the combination of freely available optical (e.g., Landsat 8) and cloud-penetrating microwave [e.g., European Space Agency (ESA) Sentinel-1] images may improve storage estimation and mitigate the inherent uncertainty of using remote sensing data for monitoring reservoir sedimentation. Three reservoirs in the Upper Godavari Basin in India constituted the study area. Findings show that the average annual sedimentation rate was overestimated by ∼10% when using only Landsat-8 images compared to combined radar and optical remote sensing databases (2016 and 2017). The suggested method made significant improvements in the estimation of reservoir capacities for narrow-bottomed and convex-edged reservoirs.Practical ApplicationsThe capacity of a reservoir is typically monitored on a periodic basis as a means of determining the reservoir’s overall health. This is a common application of satellite imagery. Satellite images are used to determine the volume of water stored in a reservoir by analyzing the relationship between two water levels and the area covered by the water. The greater the difference between the two water levels, the less precise this measurement will be. Under monsoon climate, cloud cover prevents the use of optical images during the rainy season when reservoir levels fluctuate greatly. Because there are fewer water levels to choose from due to the lack of images, the accuracy of the estimate suffers. Using three reservoirs in the monsoon region of peninsular India, this study shows that combining optical data from satellites like Landsat-8 with publicly available cloud-penetrating Sentinel-1 radar images greatly increases the number of water spread area–water level data points and decreases the error and uncertainty in the storage estimation. Based on our findings, it appears that the reported rate of capacity loss, derived from limited optical images, is likely to be inaccurate. The authors also found that the storage estimates of the narrow-bottomed conical-shaped reservoirs will be greatly improved by increasing the number of water levels in volume calculation.
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季风气候下水库沉积速率的光微波联合遥感再评估——以印度上哥达瓦里盆地3个水库为例
遥感被广泛用于监测水库容量。两个水位(WLs)之间的关系以及相应的卫星衍生水扩散面积提供了两个水位之间的水库体积。然而,这种方法的准确性取决于以wl的微小增量捕获水扩散区域的能力,以便能够充分详细地表示水库的横截面。在季风气候下,雨季持续的云层覆盖限制了可用光学卫星图像的数量。因此,获得无云图像的两个连续wl之间的时间间隔通常很大。如果只使用少量的WLs,就很可能会遗漏水库中一个重要的坡面断裂,从而导致水库测量出现严重误差。研究表明,免费光学(如Landsat 8)和穿透云微波(如欧洲航天局(ESA) Sentinel-1)图像的结合可以改善存储估算,并减轻使用遥感数据监测水库沉积的固有不确定性。印度上哥达瓦里盆地的三个储层构成了研究区。研究结果表明,与雷达和光学遥感数据库(2016年和2017年)相比,仅使用Landsat-8图像时,平均年沉积速率被高估了约10%。该方法对窄底凸边油藏的储层容量估算有明显的改进。实际应用水库的容量通常是定期监测的,作为确定水库整体健康状况的一种手段。这是卫星图像的一个常见应用。卫星图像通过分析两个水位和水覆盖面积之间的关系来确定水库的储水量。两个水位之间的差异越大,这种测量就越不精确。在季风气候下,由于雨季水库水位波动较大,云层的覆盖阻碍了光学图像的使用。由于缺乏图像,可供选择的水位较少,因此估计的准确性受到影响。利用印度半岛季风区的三个水库,本研究表明,将Landsat-8等卫星的光学数据与公开可用的穿透云层的Sentinel-1雷达图像相结合,大大增加了水扩散面积-水位数据点的数量,减少了存储估算的误差和不确定性。根据我们的研究结果,从有限的光学图像中得出的容量损失率可能是不准确的。同时发现,在容积计算中增加水位数可以大大改善窄底锥形水库的库容估算。
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来源期刊
Journal of Hydrologic Engineering
Journal of Hydrologic Engineering 工程技术-工程:土木
CiteScore
4.60
自引率
4.20%
发文量
83
审稿时长
4.5 months
期刊介绍: The Journal of Hydrologic Engineering disseminates information on the development of new hydrologic methods, theories, and applications to current engineering problems. The journal publishes papers on analytical, numerical, and experimental methods for the investigation and modeling of hydrological processes.
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