Award Date

1-1-2006

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Water Resource Management

First Committee Member

David Kreamer

Number of Pages

72

Abstract

This research project evaluated the performance of the Acoustic Doppler Velocimeter (ADV) in "low flow" environments along the Las Vegas Wash. It also tested the boundaries and limitations of the Acoustic Doppler Velocimeter. Measurements were made using both the ADV and the traditional mechanical Pygmy Meter, which has been the standard for low flow discharge measurements in the United States Geological Survey (USGS) since 1885; The first set of measurements showed that the ADV is just as reliable as the Pygmy Meter when obtaining low flow discharge measurements. The next series of measurements tested the ADV by using a series of different time intervals for each measurement and different increments of distance between vertical subsections. These series of measurements showed that not only was the ADV just as accurate and precise at shorter measuring times, and shorter incremental widths of vertical subsections but in some cases the shorter measuring times and smaller increments of vertical subsections produced better individual measurements. The measurements made with smaller vertical subsection widths were consistently more accurate and precise.* (Abstract shortened by UMI.); *This dissertation is a compound document (contains both a paper copy and a CD as part of the dissertation). The CD requires the following system requirements: Microsoft Office.

Keywords

Acoustic; Analysis; Doppler; Environment; Flow Low; Nevada; Las Vegas; Vegas; Velocimeter; Wash

Controlled Subject

Hydrology

File Format

pdf

File Size

2897.92 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to digitalscholarship@unlv.edu and include clear identification of the work, preferably with URL.

Identifier

https://doi.org/10.25669/guee-gigu


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