首页|Spatial distribution of supra-permafrost groundwater in the Qinghai-Tibet Engineering Corridor using inversion models

Spatial distribution of supra-permafrost groundwater in the Qinghai-Tibet Engineering Corridor using inversion models

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Supra-permafrost groundwater(SPG)is a key factor that causes damage to highways and railways in the Qinghai-Tibet Engineering Corridor(QTEC).It is difficult to monitor SPG in the field due to their complex formation mechanisms and movement characteristics.Traditional single-site field monitoring studies limit the spatial and temporal precision of SPG spatial distribution.To determine the moisture content of shallow soils and the SPG distribution along the QTEC,this work employed the temperature vegetation dryness index and remote sensing models for groundwater table distribution models.The accuracies of the models were validated using mea-surements obtained from different sites in the corridor.In the permafrost zones of the QTEC,72%,22%and 6%of the SPG were located at depths of 0.5-1,<0.5 and>1 m,respectively.Meanwhile,79.4%of the area along the Qinghai-Tibet Highway(QTH)(Xidatan-Tanggula)section contained SPG.In these sections with SPG,37.9%have an SPG table at depths of 0.5-0.8 m.This study preliminarily explored the SPG distribution in the QTEC with a 30 m resolution.The findings can help improve the spatial scale of SPG research,provide a basis for the analysis of the hydrothermal mechanisms,and serve as a guide in the assessment of operational risks and road structure designs.

Dryness indexLandsatSoil moistureGroundwater levelQinghai-Tibet Engineering Corridor

Yu GAO、Ming-Tang CHAI、Wei MA、Yu-Tao GAO

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State Key Laboratory of Frozen Soils Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China

School of Engineering Science,University of Chinese Academy of Sciences,Beijing 100049,China

School of Civil and Hydraulic Engineering,Ningxia University,Yinchuan 750021,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaOpen Project of State Key Laboratory of Frozen Soil EngineeringUniversity First-Class Discipline Construction Project of Ningxia,China

4200106541630636SKLFSE202106NXYLXK2021A03

2024

气候变化研究进展(英文版)
国家气候中心

气候变化研究进展(英文版)

影响因子:0.806
ISSN:1674-9278
年,卷(期):2024.15(1)
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