Mean soil water content estimation using measurements from time stable locations of adjacent or distant areas
文献类型：SCI/SSCI论文
| 作者 | Hu W. ; Shao M. A. ; Hou M. T. ; She D. L. ; Si B. C. |
| 发表日期 | 2013 |
| 关键词 | Temporal variability Soil water content Scaling Time stability Remote sensing saturated hydraulic conductivity northern loess plateau temporal stability spatial-patterns semiarid steppe amsr-e moisture storage china variability |
| 英文摘要 | Quick and accurate estimates of spatial mean volumetric soil water content (theta) are essential for validating remotely-sensed soil water content and water budget analyses. The objective of this study was to test and validate a methodology that utilizes measured theta from the Most Time Stable Locations (MTSLs) to estimate mean theta in an adjacent or distant area while negating the impact of variability in soil, vegetation and topographic properties. Soil water content measured by a neutron probe at depths of 0.1, 0.2, 0.4, 0.6 and 0.8 m in Laoyemanqu watershed on the Chinese Loess Plateau was used to test our methodology. This method predicts mean theta of one area with measured theta at the MTSL from another area. Estimation errors depend on size of the study areas, number of measurement times in the target area and soil depth. A more accurate estimation of mean theta was found when using larger areas and deeper soils. Our method was also validated by predicting mean theta of a larger watershed (Liudaogou watershed) using the theta measurement at the MTSL at Laoyemanqu watershed. The proposed method has great potential for soil water upscaling with sodo-economic, environmental and geo-political values. (C) 2013 Elsevier B.V. All rights reserved. |
| 出处 | Journal of Hydrology |
| 卷 | 497 |
| 页 | 234-243 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0022-1694 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30512]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Hu W.,Shao M. A.,Hou M. T.,et al. Mean soil water content estimation using measurements from time stable locations of adjacent or distant areas. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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