Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.pce.2018.02.001 |
Spatial feature analysis of a cosmic-ray sensor for measuring the soil water content: Comparison of four weighting methods | |
Cai, Jingya; Pang, Zhiguo; Fu, Jun’e | |
通讯作者 | Pang, Zhiguo |
来源期刊 | PHYSICS AND CHEMISTRY OF THE EARTH
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ISSN | 1474-7065 |
EISSN | 1873-5193 |
出版年 | 2018 |
卷号 | 104页码:28-38 |
英文摘要 | To quantitatively analyze the spatial features of a cosmic-ray sensor (CRS) (i.e., the measurement support volume of the CRS and the weight of the in situ point-scale soil water content (SWC) in terms of the regionally averaged SWC derived from the CRS) in measuring the SWC, cooperative observations based on CRS, oven drying and frequency domain reflectometry (FDR) methods are performed at the point and regional scales in a desert steppe area of the Inner Mongolia Autonomous Region. This region is flat with sparse vegetation cover consisting of only grass, thereby minimizing the effects of terrain and vegetation. Considering the two possibilities of the measurement support volume of the CRS, the results of four weighting methods are compared with the SWC monitored by FDR within an appropriate measurement support volume. The weighted average calculated using the neutron intensity-based weighting method (Ni weighting method) best fits the regionally averaged SWC measured by the CRS. Therefore, we conclude that the gyroscopic support volume and the weights determined by the Ni weighting method are the closest to the actual spatial features of the CRS when measuring the SWC. Based on these findings, a scale transformation model of the SWC from the point scale to the scale of the CRS measurement support volume is established. In addition, the spatial features simulated using the Ni weighting method are visualized by developing a software system. |
英文关键词 | Soil water content (SWC) Cosmic ray sensor (CRS) Spatial feature Weighting method |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000432487400005 |
WOS关键词 | MOISTURE ; CALIBRATION ; NEUTRONS ; MISSION |
WOS类目 | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/212091 |
作者单位 | China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China |
推荐引用方式 GB/T 7714 | Cai, Jingya,Pang, Zhiguo,Fu, Jun’e. Spatial feature analysis of a cosmic-ray sensor for measuring the soil water content: Comparison of four weighting methods[J],2018,104:28-38. |
APA | Cai, Jingya,Pang, Zhiguo,&Fu, Jun’e.(2018).Spatial feature analysis of a cosmic-ray sensor for measuring the soil water content: Comparison of four weighting methods.PHYSICS AND CHEMISTRY OF THE EARTH,104,28-38. |
MLA | Cai, Jingya,et al."Spatial feature analysis of a cosmic-ray sensor for measuring the soil water content: Comparison of four weighting methods".PHYSICS AND CHEMISTRY OF THE EARTH 104(2018):28-38. |
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