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基于土壤一维传热模型的冻土表面变形InSAR分析以估算活动层厚度

InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils.

作者信息

Li Zhiwei, Zhao Rong, Hu Jun, Wen Lianxing, Feng Guangcai, Zhang Zeyu, Wang Qijie

机构信息

School of Geosciences and Info-Physics, Central South University, Changsha 410083, Hunan, China.

Department of Geosciences, State University of New York at Stony Brook, Stony Brook, NY 11794, USA.

出版信息

Sci Rep. 2015 Oct 20;5:15542. doi: 10.1038/srep15542.

Abstract

This paper presents a novel method to estimate active layer thickness (ALT) over permafrost based on InSAR (Interferometric Synthetic Aperture Radar) observation and the heat transfer model of soils. The time lags between the periodic feature of InSAR-observed surface deformation over permafrost and the meteorologically recorded temperatures are assumed to be the time intervals that the temperature maximum to diffuse from the ground surface downward to the bottom of the active layer. By exploiting the time lags and the one-dimensional heat transfer model of soils, we estimate the ALTs. Using the frozen soil region in southern Qinghai-Tibet Plateau (QTP) as examples, we provided a conceptual demonstration of the estimation of the InSAR pixel-wise ALTs. In the case study, the ALTs are ranging from 1.02 to 3.14 m and with an average of 1.95 m. The results are compatible with those sparse ALT observations/estimations by traditional methods, while with extraordinary high spatial resolution at pixel level (~40 meter). The presented method is simple, and can potentially be used for deriving high-resolution ALTs in other remote areas similar to QTP, where only sparse observations are available now.

摘要

本文提出了一种基于干涉合成孔径雷达(InSAR)观测和土壤热传导模型估算多年冻土区活动层厚度(ALT)的新方法。InSAR观测到的多年冻土表面变形的周期性特征与气象记录温度之间的时间滞后,被假定为温度最大值从地表向下扩散到活动层底部的时间间隔。通过利用这些时间滞后和土壤一维热传导模型,我们估算了活动层厚度。以青藏高原南部(QTP)的冻土区为例,我们对InSAR逐像素活动层厚度估算进行了概念性演示。在案例研究中,活动层厚度范围为1.02至3.14米,平均为1.95米。结果与传统方法的稀疏活动层厚度观测/估算结果一致,同时在像素级别具有极高的空间分辨率(约40米)。所提出的方法简单,并且有可能用于推导其他类似于QTP的偏远地区的高分辨率活动层厚度,这些地区目前仅有稀疏的观测数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/701d/4611862/0a5a9711e118/srep15542-f1.jpg

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