中国农业气象 ›› 2026, Vol. 47 ›› Issue (1): 50-64.doi: 10.3969/j.issn.1000-6362.2026.01.005

• 高标准农田智慧气象监测与应用专刊 • 上一篇    下一篇

宇宙线快中子法在典型绿洲农田土壤水分监测的适用性

吴苏,吴东丽,王中金,阙艳红,赵杰,刘志浩   

  1. 1.河南中原光电测控技术有限公司,郑州 450047;2.中国电子科技集团公司第二十七研究所,郑州 450047;3.中国气象局气象探测中心,北京 100081;4.中国气象局·河南省农业气象保障与应用技术重点开放实验室,郑州 450003
  • 收稿日期:2024-12-27 出版日期:2026-01-20 发布日期:2026-01-16
  • 作者简介:吴苏,E-mail:18638555610@163.com
  • 基金资助:
    中国气象局新型机载激光雷达技术应用试验项目(ZQC-R21098);中国气象局·河南省农业气象保障与应用技术重点开放实验室开放研究基金项目(2AMF202103);郑州市重大科技创新专项项目(2020CXZX0043);河南省重点研发专项项目(241111220900)

Applicability of Cosmic-ray Neutron Sensing (CRNS) for Soil Moisture Monitoring in Typical Oasis Farmland Ecosystems

WU Su, WU Dong-li, WANG Zhong-jin, QUE Yan-hong, ZHAO Jie, LIU Zhi-hao   

  1. 1. Henan Zhongyuan Photoelectric Measurement & Control Technology Co., Ltd., Zhengzhou 450047,China; 2. The 27th Institute of China Electronic Technology Group Corporation, Zhengzhou 450047; 3. China Meteorological Administration Meteorological Observation Centre, Beijing 100081; 4. Henan Key Laboratory of Agrometeorological Ensuring and Applied Technique, China Meteorological Administration, Zhengzhou 450003
  • Received:2024-12-27 Online:2026-01-20 Published:2026-01-16

摘要:

宇宙线快中子法是实现百米尺度土壤水分探测的新技术,填补了传统点探测与遥感探测的尺度空缺。本研究基于2020511中国气象局乌兰乌苏农业气象试验站的宇宙线快中子法仪器原位测量数据、单点烘干称重法测定数据频域反射(Frequency domain reflectometryFDR测量数据以及分布式烘干称重法测定数据,研究典型绿洲农田区域土壤水分测量宇宙线快中子法的适用性,重点探讨基于N0参数法获得的宇宙线快中子法区域土壤含水量单点烘干称重法、FDR法、分布式烘干称重法土壤含水量的关系,对比分析3种方法对降事件的敏感性并进行验证,为典型绿洲农田生态系统区域尺度土壤水分观测提供依据。结果表明:宇宙线快中子法土壤含水量单点烘干称重法测定土壤含水量相关性较好,尤其是可反映试验区土壤表层(0−30cm)水分变化特征,相关系数最高达到0.66;受FDR传感器安装深度影响,宇宙线快中子法对降事件的敏感性优于FDR法。宇宙线快中子法土壤含水量FDR土壤含水量的多层平均值呈显著线性关系,0−30cm土壤含水量决定系数R20.57,均方根误差为0.018cm3·cm−3;与分布式烘干称重法0−5cm0−10cm0−20cm0−35cm土壤含水量决定系数R2分别为0.610.610.52和0.30,均方根误差分别为0.015cm3·cm−30.010cm3·cm−30.011cm3·cm−3和0.017cm3·cm−3。绿洲农田生态系统中,相较于单点烘干称重法、FDR法和分布式烘干称重法,宇宙线快中子法更准确地反映区域尺度土壤含水量的时空变化规律,且对小降事件或慢降事件反应更灵敏;宇宙线快中子法能够对土壤表层平均水分实现更准确测量。

关键词: 宇宙线快中子法, 土壤水分, 烘干称重法, 频域反射法

Abstract:

Cosmic−ray neutron sensing (CRNS) method is a new technology enabling soil moisture detection at hectometer scales, bridging the gap between traditional point measurements and remote sensing. This study evaluated the applicability of CRNS in a typical oasis farmland ecosystem using in−situ data collected at the Wulanwusu Agro−meteorological Experiment Station of the China Meteorological Administration from May to November 2020, including CRNS measurements, single−point oven−drying gravimetric data, frequency−domain reflectometry (FDR) data and distributed gravimetric data. The study focused on the relationship between the regional soil moisture content obtained by the CRNS using the N0 parameter method and the soil moisture content measured by the single−point oven−drying gravimetric method, the FDR method and the distributed oven−drying gravimetric method. The results indicated that the soil moisture content measured by CRNS correlates well with that measured by the single−point oven−drying gravimetric method, especially reflecting the moisture variation characteristics of the surface soil layer (0−30cm) in the experimental site, with a maximum correlation coefficient of 0.66. Due to the influence of the FDR sensor installation depth, CRNS exhibited higher sensitivity to precipitation events than the FDR method. The multilayer mean values of soil moisture content measurements by the FDR method and the CRNS method exhibited a significant linear relationship. For the 0−30cm soil moisture layer, the coefficient of determination R2 was 0.57, and the root mean square error (RMSE) was 0.018 cm³·cm⁻³. When compared with the distributed oven−drying gravimetric method, the coefficients of determination (R2) for CRNS were 0.61, 0.61, 0.52 and 0.30 for the 0−5cm, 0−10cm, 0−20cm and 0−35cm soil layers, respectively, with corresponding RMSE values of 0.015, 0.010, 0.011 and 0.017cm3·cm−3. In oasis farmland ecosystems, compared to the single−point oven−drying gravimetric method, the FDR method and the distributed oven−drying gravimetric method, the CRNS more accurately reflected the spatiotemporal variation of soil moisture at the regional scale and was more sensitive to minor or low−intensity prolonged precipitation events. It also achieves a more accurate measurement of the average surface soil moisture content.

Key words: Cosmic?ray neutron sensing, Soil moisture, Oven?drying gravimetric method, Frequency domain reflection