東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Acoustic travel-time tomography of t...

Vecherin, S. N.

Linked to FindBook

Google Book

Amazon

博客來

Acoustic travel-time tomography of the atmosphere.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Acoustic travel-time tomography of the atmosphere./
Author:	Vecherin, S. N.
Description:	135 p.
Notes:	Adviser: Vladimir Ostashev.
Contained By:	Dissertation Abstracts International68-07B.
Subject:	Atmospheric Sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273246
ISBN:	9780549131519

Acoustic travel-time tomography of the atmosphere.
Vecherin, S. N.

Acoustic travel-time tomography of the atmosphere. - 135 p.

Adviser: Vladimir Ostashev.

Thesis (Ph.D.)--New Mexico State University, 2007.

Knowledge of temperature and wind velocity fields in the near-ground atmospheric layer is important for many areas, e.g. boundary layer meteorology, theories of turbulence, and study of sound and electromagnetic wave propagation. The conventional way to measure temperature and wind velocity uses in-situ sensors (e.g., meteorological thermometer-anemometers). However, such measurements provide the values of temperature and wind velocity only at widely separated points. More sensors are required to measure the fields at other points. However, a large number of sensors will significantly distort the original fields. In contrast, acoustic travel-tune tomography allows remote sensing of temperature and wind velocity fields, and requires far fewer transducers for the same amount of data than the conventional in-situ measurements. This dissertation studies several different tomographic approaches, which can be divided into three classes: (i) algebraic techniques that divide the fields into constant-valued cells; (ii) a basis function approach that represents the fields as the sum of known basis functions with unknown coefficients; and (iii) stochastic approaches that take into account spatial or spatial-temporal correlations of the fields. First, it is shown that the conventional stochastic inversion approach, which utilizes spatial correlations, yields more detailed and accurate reconstruction of temperature and wind velocity fields in the atmosphere than traditional algebraic techniques and a basis function approach. Second, it is shown that a more general time-dependent stochastic approach, which utilizes both spatial and temporal correlations, allows more accurate reconstruction than any of the other techniques mentioned above.

ISBN: 9780549131519Subjects--Topical Terms:

1019179
Atmospheric Sciences.

Acoustic travel-time tomography of the atmosphere.
LDR:02660nam 2200301 a 45 001 957326
005 20110630
008 110630s2007 eng d
020 $a 9780549131519
035 $a (UMI)AAI3273246
035 $a AAI3273246
040 $a UMI $c UMI
100 1 $a Vecherin, S. N. $3 1280682
245 1 0 $a Acoustic travel-time tomography of the atmosphere.
300 $a 135 p.
500 $a Adviser: Vladimir Ostashev.
500 $a Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4535.
502 $a Thesis (Ph.D.)--New Mexico State University, 2007.
520 $a Knowledge of temperature and wind velocity fields in the near-ground atmospheric layer is important for many areas, e.g. boundary layer meteorology, theories of turbulence, and study of sound and electromagnetic wave propagation. The conventional way to measure temperature and wind velocity uses in-situ sensors (e.g., meteorological thermometer-anemometers). However, such measurements provide the values of temperature and wind velocity only at widely separated points. More sensors are required to measure the fields at other points. However, a large number of sensors will significantly distort the original fields. In contrast, acoustic travel-tune tomography allows remote sensing of temperature and wind velocity fields, and requires far fewer transducers for the same amount of data than the conventional in-situ measurements. This dissertation studies several different tomographic approaches, which can be divided into three classes: (i) algebraic techniques that divide the fields into constant-valued cells; (ii) a basis function approach that represents the fields as the sum of known basis functions with unknown coefficients; and (iii) stochastic approaches that take into account spatial or spatial-temporal correlations of the fields. First, it is shown that the conventional stochastic inversion approach, which utilizes spatial correlations, yields more detailed and accurate reconstruction of temperature and wind velocity fields in the atmosphere than traditional algebraic techniques and a basis function approach. Second, it is shown that a more general time-dependent stochastic approach, which utilizes both spatial and temporal correlations, allows more accurate reconstruction than any of the other techniques mentioned above.
590 $a School code: 0143.
650 4 $a Atmospheric Sciences. $3 1019179
650 4 $a Engineering, Aerospace. $3 1018395
650 4 $a Physics, Acoustics. $3 1019086
650 4 $a Remote Sensing. $3 1018559
690 $a 0538
690 $a 0725
690 $a 0799
690 $a 0986
710 2 0 $a New Mexico State University. $3 783784
773 0 $t Dissertation Abstracts International $g 68-07B.
790 $a 0143
790 1 0 $a Ostashev, Vladimir, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273246