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The consistency between Na content distribution at the subsurface and the lake body's movement in Lop Nur

机译:罗布泊次表层的钠含量分布与湖体运动之间的一致性

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Historically, Lop Nur was a large and famous salt lake that acted as an important geographic position along the ancient `Silk Road', and was associated with the surrounding old civilizations, such as Loulan and Haitou. However, it dried up before 1972. It shows a clear `Ear' feature on synthetic aperture radar (SAR) images. The objective of this paper is to interpret Lop Nur's environmental evolution during its drying-up process based on an analysis of its sodium sedimentary feature. The genetic algorithm-partial least squares approach is introduced as a modeling method to retrieve the subsurface sodium content from polarimetric parameters obtained by Cloude decomposition. As a result, the R-2 and root-mean-square error can reach 0.7 and 9.1 g/kg. It is suggested that the subsurface salt content was the primary reason for the bright-grey strips textures on SAR images. Furthermore, our results show that the sodium content along the same strip changed, with its distribution exhibiting consistency with the lake body's movement driven by the strong wind. In future, high-precision topographical data will be considered, and should be helpful in the analysis of lake body movement. The method of this paper can also be applied in other similar dried salt lakes.
机译:从历史上看,罗布泊是一个大型而著名的盐湖,在古代的“丝绸之路”沿线起着重要的地理位置,与周围的古老文明(如楼兰和海头)相关。但是,它在1972年之前干dried了。它在合成孔径雷达(SAR)图像上显示出清晰的“耳朵”特征。本文的目的是基于对钠沉积特征的分析,来解释罗布泊干drying过程中环境的演变。介绍了遗传算法-偏最小二乘方法作为一种建模方法,该方法从通过Cloude分解获得的极化参数中检索地下钠含量。结果,R-2和均方根误差可达到0.7和9.1 g / kg。有人认为,地下盐分含量是SAR图像上亮灰色条带纹理的主要原因。此外,我们的结果表明,沿着同一条带的钠含量发生了变化,其分布与强风驱动的湖体运动保持一致。将来,将考虑使用高精度的地形数据,这将有助于分析湖体的运动。本文的方法也可以应用于其他类似的干盐湖。

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