Journal of Yangtze River Scientific Research Institute ›› 2023, Vol. 40 ›› Issue (4): 177-184.DOI: 10.11988/ckyyb.20220762

• SCIENTIFIC EXPEDITION AND RESEARCH IN THE HEADWATERS OF THE CHANGJIANG RIVER • Previous Articles     Next Articles

Dynamic Analysis of Soil Temperature and Soil Moisture in the Permafrost Basin of the Qinghai-Tibet Plateau Based on

Satellite and Ground ObservationsYANG Han1,2, XU Ping3, CHANG Fu-xuan1, HONG Xiao-feng1, YUAN Zhe1, HE Xiao-bo4   

  1. 1. Water Resources Department, Changjiang River Scientific Research Institute, Wuhan 430010, China;
    2. Hubei Key Laboratory of Water Resources & Eco-Environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China;
    3. Field Scientific Observation Center, Changjiang River Scientific Research Institute, Wuhan 430010, China;
    4. State Key Laboratory of Cryospheric, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2022-06-29 Revised:2022-10-11 Online:2023-04-26

Abstract: To obtain the dynamic characteristics of soil in typical permafrost basins of the Qinghai-Tibet Plateau, we characterize the spatiotemporal distribution of surface soil temperature and soil moisture in the Tanggula permafrost region based on multi-source remote sensing (SMAP, ESA CCI) monitoring data. We also analyze the changes of soil temperature and soil moisture at different depths based on ground measurement data from Tanggula permafrost meteorological station and DFIR permafrost snow meteorological station. Our results show that soil temperature is higher at lower altitudes than at higher altitudes in the Tanggula permafrost region, and soil moisture is higher in the eastern part of the region than in the western part. Changes in soil temperature and soil moisture lag significantly behind as depth increases, and soil moisture during freezing periods shows a clear two-stage downward trend. SMAP soil temperature and moisture data are well correlated with ground station monitoring data, and SMAP data are more accurate than ESA CCI data.

Key words: permafrost basin, Qinghai-Tibet Plateau, soil temperature and soil moisture, SMAP, ESA CCI

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