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Sciences in Cold and Arid Regions ›› 2019, Vol. 11 ›› Issue (5): 360–370.doi: 10.3724/SP.J.1226.2019.00360.

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  • 收稿日期:2019-04-23 接受日期:2019-08-27 出版日期:2019-10-31 发布日期:2019-11-12

Soil hydraulic conductivity and its influence on soil moisture simulations in the source region of the Yellow River―take Maqu as an example

DongYu Jia1,2,3,Jun Wen4(),Xin Wang2,ZuoLiang Wang2   

  1. 1. Lanzhou City University, Lanzhou, Gansu 730070, China
    2. Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730030, China
    3. Key Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
    4. College of Atmospheric Sciences, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China
  • Received:2019-04-23 Accepted:2019-08-27 Online:2019-10-31 Published:2019-11-12
  • Contact: Jun Wen E-mail:jwen@cuit.edu.cn

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Abstract:

aturated hydraulic conductivity and unsaturated hydraulic conductivity which are influenced by soil are two important factors that affect soil water transport. In this paper, data supplied by the Chinese Academy of Sciences are used to determine true unsaturated hydrology values. Furthermore, in combination with observed, model simulation and experimental data, an improved saturated hydraulic conductivity parameterization scheme is carried out in CLM4.5 at a single point in the summer. The main results show that: (1) After improving saturated hydraulic conductivity in CLM4.5 through a parameterization modification, it is found that shallow layer soil moisture increases compared to the initial value; and (2) The numerical values of unsaturated hydraulic conductivities in the model are obviously larger than experimental values. By substituting the Brooks-Corey soil water characteristic curve into the Mualem model, the value of unsaturated hydraulic conductivity is modified; (3) By using the modified value, it is found that the attenuating magnitude of simulated soil moisture caused by each rainfall event is reduced. The soil moisture variation in shallow layers (5, 10 and 20 cm) could be better displayed.

Key words: soil hydraulic conductivity, soil moisture, source region of the Yellow River, observation

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Depth Clay Silt Sand Soil organic matter Soil texture class Position Plant type
5 cm 9.4% 55.9% 34.7% 14.4% SILT LOAM 33°55′N, 102°09′E Alpine meadow
10 cm 8.9% 44.9% 46.7% 10.6% LOAM
20 cm 8.4% 42.9% 48.8% 5.3% LOAM
40 cm 8.7% 38.3% 53.1% 1.7% SANDY LOAM
5 cm 10.0% 50.7% 39.4% 14.3% SILT LOAM 33°56′N, 102°11′E Alpine meadow
10 cm 11.1% 58.4% 30.5% 8.9% SILT LOAM
20 cm 10.5% 52.1% 37.4% 7.8% SILT LOAM
40 cm 10.7% 51.2% 38.2% 2.5% SILT LOAM

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Depth Average θs (cm3/cm3) Average θr (cm3/cm3) Average Ψe (kPa) Average λ R 2 k
5 cm 0.6635 0.1538 13.91 0.8759 0.9412 0.0114
10 cm 0.6189 0.1300 13.71 0.9596 0.9433 0.0937
20 cm 0.5033 0.1476 12.90 0.8427 0.9272 0.0102
40 cm 0.4259 0.1424 12.85 0.7728 0.9349 0.0020

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Soil depth (cm) Original CLM4.5 scheme Improved scheme
R SSE RMSE R SSE RMSE
5 0.6696 0.0693 0.0278 0.7460 0.0759 0.0290
10 0.5152 0.0420 0.0216 0.5317 0.0662 0.0271
20 0.3651 0.0316 0.0187 0.4305 0.0524 0.0241
40 0.0779 0.0190 0.0145 0.0140 0.0005 0.0025
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