A change in perspective: downhole cosmic-ray neutron sensing for the estimation of soil moisture

IF 5.7 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Hydrology and Earth System Sciences Pub Date : 2023-08-22 DOI:10.5194/hess-27-3059-2023
D. Rasche, J. Weimar, M. Schrön, M. Köhli, M. Morgner, A. Güntner, T. Blume
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Abstract

Abstract. Above-ground cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of the field-scale soil moisture content in the upper decimetres of the soil. However, large parts of the deeper vadose zone remain outside of its observational window. Retrieving soil moisture information from these deeper layers requires extrapolation, modelling or other methods, all of which come with methodological challenges. Against this background, we investigate CRNS for downhole soil moisture measurements in deeper layers of the vadose zone. To render calibration with in situ soil moisture measurements unnecessary, we rescaled neutron intensities observed below the terrain surface with intensities measured above a waterbody. An experimental set-up with a CRNS sensor deployed at different depths of up to 10 m below the surface in a groundwater observation well combined with particle transport simulations revealed the response of downhole thermal neutron intensities to changes in the soil moisture content at the depth of the downhole neutron detector as well as in the layers above it. The simulation results suggest that the sensitive measurement radius of several decimetres, which depends on soil moisture and soil bulk density, exceeds that of a standard active neutron probe (which is only about 30 cm). We derived transfer functions to estimate downhole neutron signals from soil moisture information, and we describe approaches for using these transfer functions in an inverse way to derive soil moisture from the observed neutron signals. The in situ neutron and soil moisture observations confirm the applicability of these functions and prove the concept of passive downhole soil moisture estimation, even at larger depths, using cosmic-ray neutron sensing.
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视角的转变:用于估算土壤湿度的井下宇宙射线中子传感
摘要地面上的宇宙射线中子传感(CRNS)允许对土壤上分米的农田尺度土壤水分含量进行非侵入性估计。然而,较深的水汽带的大部分仍然在它的观测窗口之外。从这些更深的土层中获取土壤湿度信息需要外推、建模或其他方法,所有这些都带来了方法学上的挑战。在此背景下,我们研究了CRNS在渗透带较深层的井下土壤湿度测量。为了避免使用原位水分测量进行校准,我们将地形表面以下观测到的中子强度与水体上方测量的强度进行了重新标度。在地下水观测井中,CRNS传感器部署在地表以下10米的不同深度,并结合颗粒输运模拟,揭示了井下热中子强度对井下中子探测器深度及其上方土层土壤含水量变化的响应。模拟结果表明,取决于土壤湿度和土壤容重的几厘米的敏感测量半径超过了标准有源中子探针(仅约30厘米)。我们推导了从土壤水分信息中估计井下中子信号的传递函数,并描述了利用这些传递函数从观测到的中子信号中反演土壤水分的方法。现场中子和土壤湿度观测证实了这些函数的适用性,并证明了被动井下土壤湿度估算的概念,即使在更大的深度,也可以使用宇宙射线中子传感器。
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来源期刊
Hydrology and Earth System Sciences
Hydrology and Earth System Sciences 地学-地球科学综合
CiteScore
10.10
自引率
7.90%
发文量
273
审稿时长
15 months
期刊介绍: Hydrology and Earth System Sciences (HESS) is a not-for-profit international two-stage open-access journal for the publication of original research in hydrology. HESS encourages and supports fundamental and applied research that advances the understanding of hydrological systems, their role in providing water for ecosystems and society, and the role of the water cycle in the functioning of the Earth system. A multi-disciplinary approach is encouraged that broadens the hydrological perspective and the advancement of hydrological science through integration with other cognate sciences and cross-fertilization across disciplinary boundaries.
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