当前位置: X-MOL 学术Shock Vib. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Application of Remote Sensing Technology in Sediment Estimating Entering the Dam Reservoirs due to Floods
Shock and Vibration ( IF 1.6 ) Pub Date : 2021-09-14 , DOI: 10.1155/2021/4469744
Mohammad Hadian 1 , Abolfazl Mosaedi 2
Affiliation  

The present study aimed to use remote sensing technology to estimate the concentration of particulate materials in the water entering the reservoirs of dams and consequently investigate the possibility of estimating the amount of sediment carried to the reservoir by flood during the life of the dam and its annual estimate. Using an advanced spectrometer device (ASD), the reflectance values of water containing different amounts of particulate sediments were measured in the range of 400–2500 nm; then, these reflectance values were represented for the Landsat 8 satellite OLI bands using their spectral response functions. In the study of interband correlation with the number of particulate materials, band 2 (blue) and band 5 (near-infrared) were identified to prepare a specific and appropriate model. The specificity of the reflectance difference in the two abovementioned bands was presented as an exponential relationship between the concentration of particulate materials and spectral reflectance. In this model, the RMSE parameter for the maximum possible sediment concentration was equal to 1.57 and the parameter R2 was equal to 0.91. In the second step, at the same time as the satellite passed, the area was visited and the sediments of the Ardak dam reservoir were sampled by recording their location. To complete this research, two measures were performed simultaneously, calculating the concentration of particulate materials sampled in the laboratory environment and their location on the image. Then, the number of particulate materials is estimated by taking into account the coordinates recorded from the images on which the relevant corrections have been made. According to the extracted exponential model, the results of estimating the concentration of particulate matter obtained from the model and Landsat satellite images with the concentration of particulate matter obtained from sampling showed its complete compatibility with field surveys to validate this research.

中文翻译:

遥感技术在洪水入库泥沙估算中的应用

本研究旨在利用遥感技术估计进入大坝水库的水中颗粒物质的浓度,从而研究估计大坝寿命期间及其每年被洪水带到水库的泥沙量的可能性。估计。使用先进的光谱仪设备 (ASD),在 400-2500 nm 范围内测量含有不同数量颗粒沉积物的水的反射值;然后,使用它们的光谱响应函数为 Landsat 8 卫星 OLI 波段表示这些反射率值。在研究与颗粒材料数量的带间相关性时,确定了波段 2(蓝色)和波段 5(近红外)以准备特定且合适的模型。上述两个波段中反射率差异的特异性表示为颗粒材料浓度与光谱反射率之间的指数关系。在该模型中,最大可能含沙浓度的 RMSE 参数等于 1.57,参数 R2 等于 0.91。第二步,在卫星经过的同时,对该地区进行了访问,并通过记录其位置对阿尔达克大坝水库的沉积物进行采样。为了完成这项研究,同时进行了两项测量,计算实验室环境中采样的颗粒材料的浓度及其在图像上的位置。然后,颗粒材料的数量是通过考虑从已进行相关校正的图像中记录的坐标来估计的。根据提取的指数模型,模型和Landsat卫星图像与采样得到的颗粒物浓度估算的颗粒物浓度结果表明其与实地调查完全兼容,验证了本研究的有效性。
更新日期:2021-09-14
down
wechat
bug