東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A quantitative investigation of the ...

Moysey, Stephen M. J.

FindBook

Google Book

Amazon

博客來

A quantitative investigation of the use of ground-penetrating radar in hydrogeology.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A quantitative investigation of the use of ground-penetrating radar in hydrogeology./
作者:	Moysey, Stephen M. J.
面頁冊數:	147 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1949.
Contained By:	Dissertation Abstracts International66-04B.
標題:	Geophysics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3171739
ISBN:	0542086204

A quantitative investigation of the use of ground-penetrating radar in hydrogeology.
Moysey, Stephen M. J.

A quantitative investigation of the use of ground-penetrating radar in hydrogeology. - 147 p.

Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1949.

Thesis (Ph.D.)--Stanford University, 2005.

Ground-penetrating radar (GPR) has become a useful tool for non-invasive imaging of the subsurface. However, the qualitative nature of current methods for the interpretation of GPR makes it difficult to use in groundwater modeling applications, especially for problems where accounting for uncertainty is important. In this thesis, the need for quantitative interpretations is addressed using observational, theoretical, and computational approaches that explore how complex subsurface heterogeneities are expressed in GPR data. This understanding of how radar samples the earth is exploited to suggest quantitative methods that can be used for interpreting radar data.

ISBN: 0542086204Subjects--Topical Terms:

535228
Geophysics.

A quantitative investigation of the use of ground-penetrating radar in hydrogeology.
LDR:03165nmm 2200313 4500 001 1816001
005 20060717150835.5
008 130610s2005 eng d
020 $a 0542086204
035 $a (UnM)AAI3171739
035 $a AAI3171739
040 $a UnM $c UnM
100 1 $a Moysey, Stephen M. J. $3 1905400
245 1 2 $a A quantitative investigation of the use of ground-penetrating radar in hydrogeology.
300 $a 147 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1949.
500 $a Adviser: Rosemary J. Knight.
502 $a Thesis (Ph.D.)--Stanford University, 2005.
520 $a Ground-penetrating radar (GPR) has become a useful tool for non-invasive imaging of the subsurface. However, the qualitative nature of current methods for the interpretation of GPR makes it difficult to use in groundwater modeling applications, especially for problems where accounting for uncertainty is important. In this thesis, the need for quantitative interpretations is addressed using observational, theoretical, and computational approaches that explore how complex subsurface heterogeneities are expressed in GPR data. This understanding of how radar samples the earth is exploited to suggest quantitative methods that can be used for interpreting radar data.
520 $a In the first part of this thesis, radar facies analysis is examined as an approach to determine the large-scale architecture of the subsurface using GPR surface reflection data; it is often assumed that radar facies can act as a valuable proxy for defining hydrologic facies, given that both types of facies are related to lithology. In the approach explored here, artificial neural networks are used to probabilistically segment the subsurface into radar facies based on characteristic signatures of the radar data. Specifically, radar texture---the pattern of reflections within a window of radar data---is used to discriminate between different radar facies.
520 $a In the second part of this thesis, the nature of the relationship between dielectric constant, determined by GPR surveys, and water content, important in hydrologic investigations, is investigated. Using a stochastic averaging approach that accounts for the way radar averages over heterogeneity it is demonstrated that field-scale dielectric constant-water content relationships are not necessarily equivalent to those measured in the laboratory. As a result, a numerical analog method for building field-scale rock physics relationships that accounts for heterogeneity, the physics of sampling, and geophysical survey design is proposed. In synthetic studies, it was found that the accuracy of water content estimates obtained using the field-scale approach was significantly improved using the field-scale approach compared to that obtained using traditional rock physics concepts.
590 $a School code: 0212.
650 4 $a Geophysics. $3 535228
650 4 $a Hydrology. $3 545716
650 4 $a Geotechnology. $3 1018558
690 $a 0373
690 $a 0388
690 $a 0428
710 2 0 $a Stanford University. $3 754827
773 0 $t Dissertation Abstracts International $g 66-04B.
790 1 0 $a Knight, Rosemary J., $e advisor
790 $a 0212
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3171739