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Measuring and mapping moisture content in agricultural fields by neutron-gamma analysis
Soil and Tillage Research ( IF 6.1 ) Pub Date : 2025-01-11 , DOI: 10.1016/j.still.2024.106444
Galina Yakubova, Aleksandr Kavetskiy, Stephen A. Prior, H. Allen Torbert

All currently applied methods for soil moisture measurement and mapping in agricultural fields are labor-intensive and time-consuming. The Pulsed Fast Thermal Neutron Analysis (PFTNA) method, described in this article, can provide in situ soil moisture distribution data across agricultural fields by field scanning with a mobile PFTNA system in a reasonably short time. This method is based on acquiring soil gamma ray responses when irradiated by fast neutrons. The response gamma spectra [thermal neutron capture (TNC) gamma spectra] contain the gamma ray peak related to hydrogen present in soil. Since the majority of hydrogen is contained in soil water, soil moisture can be determined from the value of the hydrogen peak area in TNC spectra. A power dependency with a non-zero constant term was used to convert the hydrogen peak area to soil moisture content. To create this dependency, the hydrogen peak area in the TNC spectra was plotted against moisture data obtained using other methods (gravimetric, time domain reflectometry, nuclear radiation transmission) in the same agricultural fields. Developed methods for PFTNA field scanning and data processing provided data for moisture mapping; this scanning method involved moving at 5 km h−1, simultaneously recording GPS coordinates and TNC gamma spectra every 30 s, and scanning paths that uniformly covered surveyed fields. Comparison of these maps with those created using data from traditional soil moisture measurement methods (gravimetric, time domain reflectometry, nuclear radiation transmission) demonstrated good agreement. Note that PFTNA scanning of a 20-hectare field can acquire the data needed for mapping in approximately one hour. Thus, PFTNA scanning can be recommended as a more efficient method for measuring and mapping soil moisture in agricultural fields.

中文翻译:


通过中子-γ 分析测量和绘制农业田间水分含量



目前应用于农业领域土壤水分测量和绘图的所有方法都是劳动密集型和耗时的。本文中描述的脉冲快热中子分析 (PFTNA) 方法可以通过移动 PFTNA 系统的田间扫描在相当短的时间内提供整个农田的原位土壤水分分布数据。该方法基于在被快中子照射时获取土壤伽马射线响应。响应伽马谱 [热中子俘获 (TNC) 伽马谱] 包含与土壤中存在的氢相关的伽马射线峰。由于大部分氢包含在土壤水中,因此可以根据 TNC 光谱中的氢峰面积值来确定土壤水分。使用具有非零常数项的功率依赖性将氢峰面积转换为土壤水分含量。为了产生这种依赖关系,将 TNC 光谱中的氢峰面积与使用同一农田中的其他方法(重力、时域反射法、核辐射传输)获得的水分数据作图。开发的 PFTNA 现场扫描和数据处理方法为水分测绘提供了数据;这种扫描方法包括以 5 km h-1 的速度移动,每 30 秒同时记录 GPS 坐标和 TNC 伽马光谱,并扫描均匀覆盖测量区域的路径。将这些地图与使用传统土壤水分测量方法(重力、时域反射测量、核辐射传输)的数据创建的地图进行比较,显示出良好的一致性。请注意,对 20 公顷的田地进行 PFTNA 扫描可以在大约一小时内获取测绘所需的数据。 因此,PFTNA 扫描可以被推荐为测量和绘制农田土壤水分的更有效方法。
更新日期:2025-01-11
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