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Computed tomography and optical remo...

Drescher, Anushka Christina.

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Computed tomography and optical remote sensing: Development for the study of indoor air pollutant transport and dispersion.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computed tomography and optical remote sensing: Development for the study of indoor air pollutant transport and dispersion./
作者:	Drescher, Anushka Christina.
面頁冊數:	169 p.
附註:	Source: Dissertation Abstracts International, Volume: 56-09, Section: B, page: 5035.
Contained By:	Dissertation Abstracts International56-09B.
標題:	Engineering, Civil. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9602535

Computed tomography and optical remote sensing: Development for the study of indoor air pollutant transport and dispersion.
Drescher, Anushka Christina.

Computed tomography and optical remote sensing: Development for the study of indoor air pollutant transport and dispersion. - 169 p.

Source: Dissertation Abstracts International, Volume: 56-09, Section: B, page: 5035.

Thesis (Ph.D.)--University of California, Berkeley, 1995.

This thesis investigates the mixing and dispersion of indoor air pollutants under a variety of conditions using standard experimental methods. It also extensively tests and improves a novel technique for measuring contaminant concentrations that has the potential for more rapid, non-intrusive measurements with higher spatial resolution than previously possible.Subjects--Topical Terms:

783781
Engineering, Civil.

Computed tomography and optical remote sensing: Development for the study of indoor air pollutant transport and dispersion.
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100 1 $a Drescher, Anushka Christina. $3 1944442
245 1 0 $a Computed tomography and optical remote sensing: Development for the study of indoor air pollutant transport and dispersion.
300 $a 169 p.
500 $a Source: Dissertation Abstracts International, Volume: 56-09, Section: B, page: 5035.
500 $a Co-Chairs: William W. Nazaroff; Ashok J. Gadgil.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 1995.
520 $a This thesis investigates the mixing and dispersion of indoor air pollutants under a variety of conditions using standard experimental methods. It also extensively tests and improves a novel technique for measuring contaminant concentrations that has the potential for more rapid, non-intrusive measurements with higher spatial resolution than previously possible.
520 $a Experiments conducted in a sealed room support the hypothesis that the mixing time of an instantaneously released tracer gas is inversely proportional to the cube root of the mechanical power transferred to the room air. The constant of proportionality is determined and the relationship is used to predict mixing times for two indoor air flow scenarios: forced ventilation and strong natural convection. Predicted mixing times agree well with observation. The empirical relationship helps bridge the gap between the common but mostly untested assumption of instantaneous, perfect mixing and complex computational models for simulating pollutant transport and dispersion.
520 $a One table-top and several room-scale experiments are performed to test the concept of employing optical remote sensing (ORS) and computed tomography (CT) to measure steady-state gas concentrations in a horizontal plane. Various remote sensing instruments, scanning geometries and reconstruction algorithms are employed. Reconstructed concentration distributions based on existing iterative CT techniques contain a high degree of unrealistic spatial variability and do not agree well with simultaneously gathered point-sample data. A new reconstruction method, Smooth Basis Function Minimization (SBFM), is developed. SBFM treats concentration distributions as continuous and representable by a superposition of asymmetric smooth functions--bivariate Gaussians are used in this thesis. SBFM reconstructions of synthetic and experimental data show much better agreement with measured concentration profiles than reconstructions based on standard techniques.
520 $a The dispersion of tracer gas in a chamber is examined using a scanning open-path FTIR and SBFM computed tomography. Interpolation of successive path-integral concentration measurements for each ray yields input data for CT reconstructions at specific times during the experiment. This allows one to follow the evolution of the tracer gas concentration distribution in time. The results demonstrate significant potential for CT/ORS as a fast, accurate and relatively non-invasive technique to measure time-varying gas concentrations in a variety of applications.
590 $a School code: 0028.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Computer Science. $3 626642
650 4 $a Remote Sensing. $3 1018559
650 4 $a Environmental Sciences. $3 676987
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710 2 0 $a University of California, Berkeley. $3 687832
773 0 $t Dissertation Abstracts International $g 56-09B.
790 1 0 $a Nazaroff, William W., $e advisor
790 1 0 $a Gadgil, Ashok J., $e advisor
790 $a 0028
791 $a Ph.D.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=9602535