[1]WU Qiang,XU Qianqian,ZHU Yuhan,et al.Improving Calibration and Validation of Soil Moisture Measurements Using Cosmic-Ray Neutron Method Based on Linear Depth Weighting[J].Research of Soil and Water Conservation,2021,28(04):113-120.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
28
Number of periods:
2021 04
Page number:
113-120
Column:
Public date:
2021-08-10
- Title:
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Improving Calibration and Validation of Soil Moisture Measurements Using Cosmic-Ray Neutron Method Based on Linear Depth Weighting
- Author(s):
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WU Qiang1,2,3, XU Qianqian4, ZHU Yuhan1,2,3, YAN Mengling5, LUO Zizi1,2,3
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(1.Chongqing Institute of Meteorological Sciences, Chongqing 401147, China; 2.Chongqing Engineering Research Center of Agrometeorology and Satellite Remote Sensing, Chongqing 401147, China; 3.Chongqing Jiangjin Modern Agrometeorology Test Station, Chongqing 402260, China; 4.Hefei Meteorological Bureau, Hefei 230041, China; 5.Yongchuan Meteorological Bureau, Chongqing 402181, China)
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- Keywords:
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cosmic-ray neutron method; linear depth weighting; footprint equal weighting; soil moisture
- CLC:
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S163;S152.7
- DOI:
-
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- Abstract:
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In order to study the influence of different footprint simulation of cosmic-ray neutron method on the accuracy of soil moisture inversion results, and the optimization effect relative to the footprint equal weighting method, the parameter calibration and result validation of soil moisture inversion by the cosmic-ray neutron method based on the linear depth weighting method, as the oven-drying method being the standard comparison, while the frequency domain reflection method being the continuous comparison. The accuracy of measurement results was compared with the standard value represented by the oven-drying method, the determination coefficient of linear equation(R2)increased by 0.036, the root-mean-square error(RMSE)decreased by 0.002 3 kg/kg, the Nash-Sutcliffe efficiency coefficient(NSE)increased by 0.041, the consistency of measurement results was better and the accuracy of inversion model was improved. The results of continuous measurement were compared with the frequency domain reflection method, the results showed no significant difference in trend stability between the two methods except the precipitation period. This study indicated that the inversion result based on the linear depth weighting method in improved consistency and accuracy of inversion model as the standard value obtained by oven-drying method, and the stability was close to the results of frequency domain reflection method in continuous observation compared with the footprint equal weighting method. The linear depth weighting was more consistent with the contribution of soil moisture in different depth. The soil moisture inversion by the cosmic-ray neutron method based on the linear depth weighting method can reflect the actual situation of soil moisture in the footprint more objectively.