宇宙射线中子法在黄土丘陵沟壑区土壤水分监测中的适用性评价
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作者单位:

1.长安大学水利与环境学院;2.长安大学;3.中国科学院地球环境研究所;4.长安大学公路学院;5.北京师范大学水科学研究院

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基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Evaluation of cosmic-ray neutron sensing method in measuring soil moisture in the loess hilly-gully region, China
Author:
Affiliation:

1.School of water and environment, Chang''an University;2.Chang''an University;3.Institute of Earth Environment, Chinese Academy of Sciences;4.School of Highway, Chang’an University;5.College of Water Science, Beijing Normal University

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    利用宇宙射线中子法(Cosmic-ray neutron sensing,CRNS)能够监测百米尺度源区内的土壤含水量,其在下垫面地形较为复杂的黄土丘陵沟壑区的适用性和准确性还有待检验。本研究选取黄土丘陵沟壑区典型小流域为研究对象,以CRNS为技术手段,于2018—2019年开展了12次大范围分布式烘干称重法测量(0—350 m),首先分析了研究期内整个研究区与沟道区域的土壤水分变化特征;然后根据三种权重计算方法(动态加权法、直接平均法和平均加权法)获得的土壤含水量进行 N0值的校准,评估CRNS法在黄土丘陵沟壑区的测量足迹和准确性;并通过与时域反射法(TDR)的连续监测数据对比,分析了CRNS法连续性反演结果的稳定性及其对降雨事件的响应能力。结果表明,烘干称重法测量的整个研究区的平均土壤含水量小于沟道区域平均土壤含水量,且二者变化趋势一致;CRNS的水平足迹半径与垂向测量足迹平均值分别为336.0 m和23.4 cm,水平测量足迹受气压影响变化较为稳定,而垂向测量足迹随距离仪器中心的位置和土壤水分状况呈现出明显的波动性;CRNS法与烘干称重法的线性拟合结果R2>0.9、RMSE介于0.027~0.037cm3/cm3 ,表明CRNS法在黄土丘陵沟壑区能够准确测量源区平均土壤含水量;在稳定性方面,CRNS法反演的沟道区域平均土壤含水量与TDR点尺度测量结果的变化趋势保持一致(冬季结冰期除外),二者对于降水过程均有明显响应,且CRNS法的灵敏性更优。综上,CRNS法凭借其较大的测量源区、非破坏性及对黄土质地和地形的适配性,在黄土丘陵沟壑区百米级范围平均土壤含水量的测量准确可信,可弥补传统点尺度测量与大尺度遥感反演方法的不足。

    Abstract:

    Cosmic-ray neutron sensing (CRNS) can monitor soil water content (SWC) in the 100-meter scale source area, but its applicability and accuracy in the loess hilly-gully region with complex terrain require validation. In this study, a typical sub-watershed in loess hilly-gully region was selected as the research object, and CRNS was used as the technical means. Twelve large-scale distributed oven-drying method measurements (0-350 m) were carried out in 2018-2019. Firstly, we analyzed the characteristics of soil moisture changes in the whole study area and gully region during the study period; then , according to the soil moisture content obtained by three weighting methods (dynamic weighting, average and uniform weighting) was calibrated to the N0 value to assess the measurement footprint and accuracy of the CRNS method in the loess hilly -gully region; and we analyzed the stability of the continuous CRNS-inversed soil water content (SWC) and its responsiveness to rainfall events by comparing them with the continuous monitoring data of the time-domain reflectance (TDR) method. The results showed that the average SWC of the whole study area measured by the oven-drying method was smaller than the average SWC of the gully region, and both of them have the same trend of change; the average values of the horizontal footprint radius and the vertical footprint of the CRNS method were 336.0 m and 23.4 cm, respectively, and the horizontal footprint varied steadily under the influence of air pressure, while the vertical footprint showed obvious fluctuation according to the distance from the center of the instrument and the soil moisture condition; the R2 of the linear fit between the CRNS method and the oven-drying method was greater than 0.9, and the RMSE was in the range of 0.027~0.037 cm3/cm3 , which indicated that the CRNS method was able to accurately measure the soil moisture content of the region in the loess hilly-gully region. In terms of stability, the trends of regional CRNS-inversed SWC and the average soil water content at 20 cm depth in the gully region obtained by the TDR method were identical except for the winter freezing period, and both of them responded significantly to the precipitation process, and the sensitivity of the CRNS method was better. In conclusion, the CRNS method, with its large-scale coverage, non-destructiveness and adaptability to loess texture and topography, can accurately and reliably measure the average SWC at the hectometer scale in the loess hilly-gully region, and can make up for the deficiencies of the traditional point-scale and remote sensing methods.

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白锦涛,郑涵,金钊,包含,王志文.宇宙射线中子法在黄土丘陵沟壑区土壤水分监测中的适用性评价.生态学报,,(). http://dx. doi. org/10.5846/stxb202505221270

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