Spatial feature analysis of a cosmic-ray sensor for measuring the soil water content: Comparison of four weighting methods. (April 2018)

• Record Type: Journal Article
• Authors: Cai, Jingya; Pang, Zhiguo; Fu, Jun'e
• Is Part Of: Physics and chemistry of the earth. Volume 104(2018)
• Page Start: 28
• Page End: 38
• Publication Date: 2018-04
• Subjects: Soil water content (SWC) -- Cosmic ray sensor (CRS) -- Spatial feature -- Weighting method; Geophysics -- Periodicals; Geochemistry -- Periodicals; Earth sciences -- Periodicals; Geodesy -- Periodicals; Astrophysics -- Periodicals; 550
• DOI: 10.1016/j.pce.2018.02.001
• Languages: English
• ISSNs: 1474-7065

Abstract

Abstract: 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. Highlights: Measuring depth decreases with distance from CRS. ρ bd determines relation between measuring depths with universal and improved methods. Horizontal and vertical weights decrease with distance and depth correspondingly. A scale transformation model based on the spatial feature of CRS is established.