عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL53385
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Development of GIS-Based Algorithm to Delineate Median Vegetated Swales Along Highways in Putnam County, Tennessee
General Material Designation
[Thesis]
First Statement of Responsibility
Islam, Minhazul
Subsequent Statement of Responsibility
Kalyanapu, Alfred
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Tennessee Technological University
Date of Publication, Distribution, etc.
2020
GENERAL NOTES
Text of Note
94 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
Tennessee Technological University
Text preceding or following the note
2020
SUMMARY OR ABSTRACT
Text of Note
Tennessee Department of Transportation (TDOT) maintains many drainage structures such as culverts, pipes, and vegetated ditches to ensure the proper conveyance of stormwater runoff way from highways. Recent studies have shown that the vegetated ditches (or vegetated swales) along the highways can perform as Stormwater Control Measures (SCMs), which not only convey stormwater but also reduce runoff volume and improve the water quality onsite. Moreover, EPA authorizes Municipal Separate Storm Sewer System (MS4) permit on these highways to regulate the runoff quantity and quality. In order to understand the extent to which the vegetated swales can perform as SCMs, TDOT must assess the median swales location and geometric properties. This will help TDOT in complying with the MS4 permit requirements. Assessing the swale location and geometric properties using conventional field survey methods can be laborious and time-consuming. Therefore, an efficient and automated system to catalog these infrastructures is invaluable to the agency. To address this need, this study is aimed to develop a Geographic Information System (GIS)-based Vegetated Swale Algorithm for TDOT Highways (GV-SwATH). In this study, the swale delineation process was automated by using road centerline shapefile data and Light Detection and Ranging (LiDAR) data. This process has four approaches: buffer + slope, buffer + intensity, centerline + slope, and centerline + intensity. To build the tool, stretches along Putnam County highways including Interstate-40 (I-40) and State Route 111 (SR111) were chosen as study areas. Multi-spectral imagery data was used to verify the tool performance in two locations along SR111 and I-40. A comparative statistical analysis showed that all four approaches were able to delineate the swales with at least 70% accuracy when compared to the observed dataset. Above all, centerline + slope and buffer + intensity were able to delineate median swales with highest accuracy of 99% and 90% in SR111 and I-40 sites respectively. This tool will be beneficial to TDOT personnel to automatically delineate median vegetated swales along the highways. This tool can also be further developed to integrate an algorithm for stormwater runoff assessment in future studies.
UNCONTROLLED SUBJECT TERMS
Subject Term
Area planning & development
Subject Term
Environmental engineering
Subject Term
Geographic information science
Subject Term
Transportation
PERSONAL NAME - PRIMARY RESPONSIBILITY
Islam, Minhazul
PERSONAL NAME - SECONDARY RESPONSIBILITY
Kalyanapu, Alfred
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Tennessee Technological University
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
