Mesoscale soil moisture survey by mobile cosmic-ray neutron sensor across various landscapes in the Heihe River Basin

IF 2.3 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
ShaoXiong Wu , YongYong Zhang , WenRong Kang , WenZhi Zhao
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Abstract

The cosmic-ray neutron technology is a novel method for upscaling soil moisture, holding significant importance in drought monitoring, soil water storage estimation, calibration of remote sensing products, and data assimilation of land surface models. However, most studies conducted soil moisture measurement experiments using static Cosmic-Ray Neutron Sensors (CRNS) and are often limited to a single landscape, lacking in-situ measurement for the cosmic-ray neutron rover across various landscapes. This study carried out soil moisture observation experiments using a cosmic-ray neutron rover in nine grassland plots, nine farmland plots, and nine desert plots of the Heihe River Basin, Northwest China. The neutron counts displayed clear variations among different plots, and an equation could represent the relationship between neutron intensity and multiple variables near the ground. The parameter N0 was the smallest for grassland and greatest for desert, and there was a significant negative correlation between Normalized Difference Vegetation Index and N0 (P <0.05). Furthermore, the performance of CRNS notably improved after considering soil lattice water and soil organic matter. The Root Mean Square Error (RMSE) between the measured and oven-dried soil moisture increased with radius. Soil moisture measured by CRNS strongly supported the 100 m diameter footprint assumption (RMSE <0.044 g/g). The study offers valuable insights into the application and promotion of cosmic-ray neutron technology across various landscapes within a basin.
利用移动式宇宙射线中子传感器对黑河流域不同地貌进行中尺度土壤水分调查
宇宙射线中子技术是一种土壤水分升级的新方法,在干旱监测、土壤储水量估算、遥感产品定标和地表模型数据同化等方面具有重要意义。然而,大多数研究使用静态宇宙射线中子传感器(CRNS)进行土壤湿度测量实验,并且通常仅限于单一景观,缺乏宇宙射线中子探测器在不同景观下的原位测量。利用宇宙射线中子探测车在黑河流域9个草地样地、9个农田样地和9个荒漠样地进行了土壤水分观测试验。中子计数在不同地块间变化明显,可以用方程表示中子强度与近地多个变量的关系。草地N0最小,荒漠N0最大,归一化植被指数与N0呈显著负相关(P <0.05)。此外,考虑土壤晶格水分和土壤有机质后,CRNS的性能显著提高。实测土壤湿度与烘干土壤湿度的均方根误差(RMSE)随土壤湿度半径的增大而增大。CRNS测量的土壤湿度强烈支持100 m直径足迹假设(RMSE <0.044 g/g)。该研究为宇宙射线中子技术在盆地内不同景观的应用和推广提供了有价值的见解。
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1.40
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