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Geostatistical analysis of soil moisture variability on Da Nangou catchment of the loess plateau, China
被引:62
|作者:
Wang, J
Fu, BJ
Qiu, Y
Chen, LD
Wang, Z
机构:
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Dept Syst Ecol, Beijing 100085, Peoples R China
[2] Minist Land & Resources, Land Consolidat & Rehabil Ctr, Beijing 100035, Peoples R China
[3] Univ Calif Riverside, Dept Environm Studies, Riverside, CA 92521 USA
来源:
基金:
中国国家自然科学基金;
关键词:
soil moisture;
semivariogram;
spatial structure;
loess plateau of China;
D O I:
10.1007/s002540100350
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
To achieve a better understanding of environmental issues related to soil erosion, flooding, and solute transport, it is necessary to understand the variability of soil moisture under different climatic and geological conditions and at different spatio-temporal scales. Moisture patterns based on five depths (0-5, 15-20, 25-30, 45-50, and 70-75 cm) were determined in the Da Nangou catchment of the loess plateau of China from May to September 1999. Spatial structure of profile-averaged and layer-averaged soil moisture was analysed using semivariograms. The results indicated that soil moisture exhibits changing spatial dependence with time and depth. For profile-averaged soil moisture, high sills [4.6-14 %(v/v)(2)] and high ranges (135-160 m) were observed during dry conditions. The sills [2.6-6.3 (%v/v)(2)] and ranges (140 m) were small during wet conditions. However, soil moisture was described by linear semivariograms without a sill following a significant rain event. For layer-averaged soil moisture, the sills increased with depth, but not for the ranges. The nuggets tended to increase with higher sills. This analysis provides insights into the variability of soil moisture on a large scale and interpolation strategies for extrapolating point measurements across the catchment.
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页码:113 / 120
页数:8
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