基于COSMIC模型的宇宙射线中子反演荒漠-绿洲区土壤水分

doi:10.13287/j.1001-9332.202309.023

摘要/Abstract

摘要： 宇宙射线中子技术通过监测近地面中子强度,反演百米尺度范围内平均土壤水分状况,已成功应用于森林、草地和农田等生态系统。为验证COSMIC模型反演干旱区中尺度土壤水分的可靠性,本研究基于移动式宇宙射线中子技术在黑河中游荒漠-绿洲区开展了土壤水分观测试验。结果表明: 荒漠-绿洲区监测到的中子强度在350～715 counts·(30 s)^-1,率定的高能中子强度(N_cosmic)为(38.5±2.2) counts·(30 s)^-1,N_cosmic受下垫面性质影响;COSMIC模型(均方根误差RMSE=0.019 g·g^-1)和N₀参数法(RMSE=0.018 g·g^-1)均能较好地估算中尺度土壤水分,考虑矿物晶格水的情况下,土壤水的反演精度更高;试验期间,绿洲区平均有效监测深度为19 cm,荒漠区为36 cm。COSMIC模型可用于荒漠-绿洲区宇宙射线中子反演土壤水分,结合陆面模型在实现近地面气象-水文-生态各要素数据同化方面具有较大潜力。

关键词: 宇宙射线中子技术, 荒漠-绿洲, 土壤水分, COSMIC, 中尺度监测

Abstract: 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)^-1, and the calibrated high energy neutron intensity (N_cosmic) were (38.5±2.2) counts·(30 s)^-1, which was affected by land surface characteristics. Both COSMIC model (root mean square error=0.019 g·g^-1) and N₀ equation (root mean square error=0.018 g·g^-1) 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.

Key words: cosmic-ray neutron technology, desert-oasis, soil moisture, COSMIC, mesoscale monitoring

吴绍雄, 张勇勇, 赵文智, 康文蓉, 田子晗. 基于COSMIC模型的宇宙射线中子反演荒漠-绿洲区土壤水分[J]. 应用生态学报, 2023, 34(9): 2445-2452.

WU Shaoxiong, ZHANG Yongyong, ZHAO Wenzhi, KANG Wenrong, TIAN Zihan. Retrieving soil moisture using cosmic-ray neutron technology based on COSMIC model in the desert-oasis region[J]. Chinese Journal of Applied Ecology, 2023, 34(9): 2445-2452.

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