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基于分布式光纤声学传感系统的土壤水分含量倒置方法.

Ying Shang, Qiujie He, Sheng Huang

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    本研究引入了一种使用分布式声学传感 (DAS) 在二维区域实时监测土壤含水量 (SMC) 的新方法. 该技术通过分析地震波声速来准确测量SMC,比传统方法有了显著的进步.

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    科学领域:

    • 地质物理学 地质物理学
    • 土壤科学 土壤科学
    • 遥感 遥感 遥感 遥感

    背景情况:

    • 传统的土壤水分含量 (SMC) 方法缺乏实时,二维监测能力.
    • 准确的SMC数据对于各种应用,包括农业和环境管理至关重要.

    研究的目的:

    • 为二维区域开发和验证一个快速的SMC监测方法.
    • 利用分布式声学传感 (DAS) 进行增强的土壤湿度评估.

    主要方法:

    • 利用分布式声学传感 (DAS) 来调节来自活跃地震源的反向雷利散射信号.
    • 使用折叠绳近似计算土壤声速.
    • 倒置的声速数据用于确定土壤水分含量 (SMC).
    • 配置了一个3x10米的二维区域,带有传感光缆和地震源进行测量.

    主要成果:

    • 成功逆转了土壤声速,以确定SMC在15%-40%的范围内.
    • 与水切割表相比,实现了7%的绝对误差.
    • 证明了使用雷利散射特性用于SMC逆转的可行性.

    结论:

    • 分布式声学传感 (DAS) 为实时,大面积的SMC监控提供了一种可行的新方法.
    • 拟议的方法克服了传统的土壤湿度测量技术的局限性.