相关实验视频
Updated: Sep 13, 2025

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In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
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从批量和能量解析的马辐射测量中得出的土壤湿度估计的准确性进行比较
Sonia Akter1, Johan Alexander Huisman1, Heye Reemt Bogena1
1Agrosphere Institute (IBG-3), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
这项研究比较了使用环境马辐射 (EGR) 和40K马辐射 (GR) 的土壤湿度估计. 40K GR提供了更准确的土壤湿度估计,不受EGR常见的和生物质混因素的影响.
科学领域:
- 环境科学 环境科学
- 地质物理学 地质物理学
- 核地质物理学 核地质物理学
背景情况:
- 使用马辐射 (GR) 的非侵入性土壤水分 (SM) 监测显示出有希望的结果.
- 环境马辐射 (EGR) 探测器提供了一种低成本的方法,但受到和生物质等混因素的影响.
- 这些因素对EGR对SM估计准确性的影响尚不完全理解.
研究的目的:
- 为了比较来自EGR的SM估计的准确性,与那些来自参考KGR测量.
- 调查混杂因素 (子,生物质) 对基于EGR的SM估计的影响.
主要方法:
- 在农田上并排安装了EGR的盖格-穆勒 (G-M) 计数器和40K GR的马光谱仪.
- 使用现场传感器用于参考SM和气象站.
- 相关的EGRG-M和40K GR测量以参考SM使用理论上推导的功能关系.
主要成果:
- 每日SM预测RMSE为3.39体积%使用40KGR,验证一个理论参数.
- 在EGRG-M测量中,精度较低,RMSE为6.90体积%.
- 波形连贯性分析表明,冬季雷干扰,夏季对EGRG-M产生更强的生物质屏蔽效应.
结论:
- 与散装EGR相比,K GR测量为土壤湿度估计提供了更高的准确性.
- 和生物质显著影响基于EGR的SM估计,解释了精度较低.
- 对生物质进行校正可能有助于从操作EGR监测网络中改善SM估计.
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