Measurement of soil water content using ground-penetrating radar: a review of current methods
Measurement of soil water content using ground-penetrating radar: a review of current methods
复制标题
使用探地雷达测量土壤含水量：现有方法的回顾
DOI：
10.1080/17538947.2017.1412520
复制
发表时间：
2019-01
影响因子：
5.1
通讯作者：
Xuehong Chen
中科院分区：
文献类型：
--
作者：
Xinbo Liu;Jin Chen;Xihong Cui;Qixin Liu;Xin Cao;Xuehong Chen
土壤含水量是生态学、农业、水文学和工程学研究中的重要参数。SWC的无创监测研究一直是该领域的研究热点。探地雷达（GPR）是一种非破坏性的地球物理探测技术，具有分辨率高、探测深度大、测量效率高等优点。它已成功地应用于现场调查。本文综述了近几年来基于探地雷达的地下水埋深测量方法的研究进展，包括反射波法、地波法、地表反射法、钻孔探地雷达法、全波形反演法、平均包络振幅法和频移法等。详细介绍了这些方法的原理、优点、局限性和应用。一个全面的技术框架，其中包括七种方法，提出了了解他们的原则和适用性。两个关键程序，即数据采集和数据处理，强调方法应用的关键。推荐了满足不同应用要求和现场条件的合适方法。未来的发展，潜在的应用，并在硬件和数据处理技术的进步也突出显示。
ABSTRACT Soil water content (SWC) is a crucial parameter in ecology, agriculture, hydrology, and engineering studies. Research on non-invasive monitoring of SWC has been a long-lasting topic in these fields. Ground penetrating radar (GPR), a non-destructive geophysical technique, has the advantages of high resolution, deep detection depth, and high efficiency in SWC measurements at medium scale. It has been successfully applied in field investigations. This paper summarizes the recent progress in developing GPR-based SWC measurement methods, including reflected wave, ground wave, surface reflection, borehole GPR, full waveform inversion, average envelope amplitude, and frequency shift methods. The principles, advantages, limitations, and applications of these methods are described in detail. A comprehensive technical framework, which comprises the seven methods, is proposed to understand their principles and applicability. Two key procedures, namely, data acquisition and data processing, are emphasized as crucial to method applications. The suitable methods that will satisfy diverse application demands and field conditions are recommended. Future development, potential applications, and advances in hardware and data processing techniques are also highlighted.
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DOI：
10.1109/ficloud.2015.44
发表时间：
2015-08
期刊：
2015 3rd International Conference on Future Internet of Things and Cloud
影响因子：
--
作者：
F. Benedetto;A. Tedeschi
通讯作者：
F. Benedetto;A. Tedeschi
影响因子：
2
作者：
A. Benedetto
通讯作者：
A. Benedetto
影响因子：
3.3
作者：
K. Grote;S. Hubbard;Y. Rubin
通讯作者：
K. Grote;S. Hubbard;Y. Rubin
影响因子：
1.6
作者：
D. Moghadas;K. Jadoon;J. Vanderborght;Sebastian Lambot;H. Vereecken
通讯作者：
D. Moghadas;K. Jadoon;J. Vanderborght;Sebastian Lambot;H. Vereecken
DOI：
10.1109/icgpr.2012.6254954
发表时间：
2012-06
期刊：
2012 14th International Conference on Ground Penetrating Radar (GPR)
影响因子：
--
作者：
P. Klenk;K. Roth;Yanfang Qin;K. Zhou
通讯作者：
P. Klenk;K. Roth;Yanfang Qin;K. Zhou