|
" Development of GIS-Based Algorithm to Delineate Median Vegetated Swales Along Highways in Putnam County, Tennessee "
Islam, Minhazul
Kalyanapu, Alfred
| Document Type
|
:
|
Latin Dissertation
|
| Language of Document
|
:
|
English
|
| Record Number
|
:
|
1054268
|
| Doc. No
|
:
|
TL53385
|
| Main Entry
|
:
|
Islam, Minhazul
|
| Title & Author
|
:
|
Development of GIS-Based Algorithm to Delineate Median Vegetated Swales Along Highways in Putnam County, Tennessee\ Islam, MinhazulKalyanapu, Alfred
|
| College
|
:
|
Tennessee Technological University
|
| Date
|
:
|
2020
|
| Degree
|
:
|
M.S.
|
| student score
|
:
|
2020
|
| Note
|
:
|
94 p.
|
| Abstract
|
:
|
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.
|
| Descriptor
|
:
|
Area planning development
|
|
|
:
|
Environmental engineering
|
|
|
:
|
Geographic information science
|
|
|
:
|
Transportation
|
| Added Entry
|
:
|
Kalyanapu, Alfred
|
| Added Entry
|
:
|
Tennessee Technological University
|
| |