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Inversion, Modelling and Analysis of GPR in Near-surface Environments (IMAGINE) version 2

Inversion, Modelling and Analysis of GPR in Near-surface Environments (IMAGINE) version 2
近地表环境中探地雷达的反演、建模和分析 (IMAGINE) 第 2 版
批准号:
EP/E004032/1
负责人:
Nigel Cassidy
金额:
$27.78万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --

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中文摘要
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英文摘要
Ground penetrating radar (GPR) is one of the most popular ground investigation techniques with, arguably, the widest application range of all the geophysical methods. It has been applied to landmine detection, the location and evaluation of building structures and materials, contaminant mapping plus general glacial, geological, archaeological, forensic and environmental applications. With an unrivalled ability to 'image' the shallow sub-surface at high-resolutions, the technique is the tool of choice for many geotechnical engineers and is the principle investigation method for near-surface problems. Unfortunately, the evaluation, interpretation and analysis of GPR data is a hit-and-miss affair, particularly in complex environments and advanced processing, imaging and/or visualisation techniques are often required before even the most basic interpretations are made. Many of these methods add unwanted bias or error into the data and there is a pressing need for new data analysis methods that are robust, accurate and efficient. Numerical Modelling (which simulates the propagation of the GPR waves in the ground) and Inversion (which attempts to automatically determine the shape, location and properties of a buried target from the recorded GPR signals) have both been successfully applied to real and experimental near-surface GPR data over a range problem senorios. This project will attempt to integrate these two methodologies into a single programme of research that will develop, new innovative solutions to the problem of GPR data interpretation whilst providing users with a robust, sophisticated alternative to more conventional analysis techniques. The work will focus on the key application areas of landmine detection/discrimination, services mapping (particularly leaking non-metallic fuel, water and sewage pipes) and the identification, location and characterisation of buried building foundations and similar structures. The work will utilise data collected from real-world situations with the goal of producing an analysis and interpretation technique that is practical, efficient and comprehensively tested. There are clear benefits to improving our ability to evaluate and characterise the subsurface, both economically and socially. For example, it is estimated that the cost associated with drinking water loss from leaky pipes alone is in the order over ten million pounds a year. Enhanced investigation techniques can go a long to reducing this cost. Ultimately, the project represents a new and exciting development in geotechnical GPR research with potential benefits that reach far beyond the confines of the engineering community into fields as diverse as archaeology, biotechnical sciences and forensics.
期刊论文(6)
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科研奖励(0)
会议论文
DOI: 10.3997/1873-0604.2010010
发表时间: 2011-06
期刊: Near Surface Geophysics
影响因子: 1.6
作者: [T. M. Millington;N. Cassidy;L. Nuzzo;L. Crocco;F. Soldovieri;J. Pringle]
通讯作者: T. M. Millington;N. Cassidy;L. Nuzzo;L. Crocco;F. Soldovieri;J. Pringle
BISTATIC TOMOGRAPHIC GPR IMAGING FOR INCIPIENT PIPELINE LEAKAGE EVALUATION
用于初期管道泄漏评估的双基地层析探地雷达成像
DOI: 10.2528/pier09122206
发表时间: 2010
期刊: Progress In Electromagnetics Research
影响因子: --
作者: [Crocco L]
通讯作者: Crocco L
DOI: --
发表时间: 2011
期刊:
影响因子: --
作者: [Millington Timothy M.]
通讯作者: Millington Timothy M.
Frequency-dependent attenuation and velocity characteristics of nano-to-micro scale, lossy, magnetite-rich materials
纳米到微米级、有损、富含磁铁矿材料的频率相关衰减和速度特性
DOI: 10.3997/1873-0604.2008023
发表时间: 2008
期刊: Near Surface Geophysics
影响因子: 1.6
作者: [Cassidy N]
通讯作者: Cassidy N
国内基金
海外基金
Improving modelling of compact binary evolution.
  • 批准号:
    10903001
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2009
  • 负责人:
    史蒂芬
  • 依托单位: