National Field Science Research Station of Farmland Ecosystem in Linze, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Ying Yong Sheng Tai Xue Bao. 2023 Sep;34(9):2445-2452. doi: 10.13287/j.1001-9332.202309.023.
Cosmic-ray neutron technology could estimate average soil moisture on scale of hectometers by monitoring the neutron intensity near the ground, which has been successfully applied in forest, grassland, farmland, and other ecosystems. To verify the reliability of Cosmic-ray Soil Moisture Interaction Code (COSMIC) model for retrieving mesoscale soil moisture in arid regions, we carried out soil moisture observation experiment by using the cosmic-ray neutron rover in the desert-oasis region of the middle reaches of Heihe River. The results showed that the fast neutron intensity in the desert-oasis region were 350-715 counts·(30 s), and the calibrated high energy neutron intensity () were (38.5±2.2) counts·(30 s), which was affected by land surface characteristics. Both COSMIC model (root mean square error=0.019 g·g) and N equation (root mean square error=0.018 g·g) could well assess the mesoscale soil moisture, with the accuracy of soil moisture being higher considering soil lattice water. The average penetration depth was 19 cm in the oasis region and 36 cm in the desert region during the experiment. COSMIC model could be used to retrieve soil moisture by cosmic ray neutron in the desert-oasis regions, which had great potential to realize data assimilation of surface meteorological-hydrological-ecological variables by combining with land surface models.
宇宙射线中子技术可以通过监测地面附近的中子强度来估计公顷范围内的平均土壤湿度,该技术已成功应用于森林、草原、农田和其他生态系统。为了验证宇宙射线土壤水分相互作用模型(COSMIC)在干旱地区反演中尺度土壤水分的可靠性,我们利用宇宙射线中子漫游车在黑河中游沙漠绿洲区进行了土壤水分观测实验。结果表明,沙漠绿洲区的快中子强度为 350-715 计数·(30 s),经标定的高能中子强度()为(38.5±2.2)计数·(30 s),受地表特征影响。COSMIC 模型(均方根误差=0.019 g·g)和 N 方程(均方根误差=0.018 g·g)都能很好地评估中尺度土壤水分,考虑土壤晶格水时土壤水分的精度更高。实验期间,绿洲区的平均穿透深度为 19 cm,沙漠区为 36 cm。在沙漠绿洲地区,宇宙射线中子可以用来反演土壤水分,通过与陆面模型结合,为实现地表气象水文生态变量的数据同化提供了巨大潜力。