Early-stage leaking pipes GPR monitoring via microwave tomographic inversion

Early-stage leaking pipes GPR monitoring via microwave tomographic inversion
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DOI:
10.1016/j.jappgeo.2008.09.006
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发表时间:
2009-04-01
影响因子:
2
通讯作者:
Cassidy, N. J.
Cassidy, N. J.
中科院分区:
地球科学3区
文献类型:
--
作者:
Crocco, L.;Prisco, G.;Cassidy, N. J.

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探地雷达(GPR)是及时检测管道损坏和泄漏的最合适的技术解决方案之一,从环境和经济角度来看,这是一个极其重要的问题。然而,为了使探地雷达有效,需要设计适当的成像策略,以提供可靠的信息。在本文中,我们通过一种基于二维“扭曲”散射模型的新型微波层析成像方法,解决了从单重、多接收器GPR数据中对泄漏管道成像的问题,该模型结合了有关研究场景的现有知识(即,管道位置和尺寸)。为了正确设计的方法的功能,并测试其在受控但现实的条件下的能力,我们利用一个先进的,全波,2.5维时域差分正演模拟求解器,能够准确地模拟真实世界的GPR场景中的电磁色散材料。通过后一种方法,我们表明,成像过程是可靠的,使我们能够检测到存在的泄漏已经在其发展的第一阶段,是强大的不确定性,并提供信息,不能推断出从原始数据radagrams或“传统的”层析成像方法的基础上的半空间背景。(C)2008 Elsevier B.V.保留所有权利。
Ground penetrating radar (GPR) is one of the most Suitable technological Solutions for timely detection of damage and leakage from pipelines, an issue of extreme importance both environmentally and from an economic perspective. However, for GPR to be effective, there is the need of designing appropriate imaging strategies such to provide reliable information. In this paper, we address the problem of imaging leaking pipes from single-fold, multi-receiver GPR data by means of a novel microwave tomographic method based on a 2D "distorted" scattering model which incorporates the available knowledge on the investigated scenario (i.e., pipe position and size). In order to properly design the features of the approach and test its capabilities in controlled but realistic conditions, we exploit an advanced, full-wave, 2.5D Finite-Difference Time-Domain forward modeling solver capable of accurately simulating real-world GPR scenarios in electromagnetically dispersive materials. By means of this latter approach, we show that the imaging procedure is reliable, allows us to detect the presence of a leakage already in its first stages of development, is robust against uncertainties and provides information which cannot be inferred from raw-data radargrams or "conventional" tomographic methods based on a half-space background. (C) 2008 Elsevier B.V. All rights reserved.