dc.contributor.author |
Nijamir, Kafoor |
|
dc.contributor.author |
Thennakoon, T. M. S. P. |
|
dc.contributor.author |
Herath, H. M. Jayani Rupi |
|
dc.date.accessioned |
2021-07-22T05:04:35Z |
|
dc.date.available |
2021-07-22T05:04:35Z |
|
dc.date.issued |
2021-06 |
|
dc.identifier.citation |
Kalam, International Research Journal, Faculty of Arts and Culture,14(1), 2021. pp. 23-36. |
en_US |
dc.identifier.issn |
1391-6815 |
|
dc.identifier.uri |
http://ir.lib.seu.ac.lk/handle/123456789/5601 |
|
dc.description.abstract |
Modelling tidal fluctuation with Unmanned Ground Vehicle (UGV) is a groundbreaking idea with
an innovative approach which can be applicable to forecast and assess the inundation of coastal
lands because of the tidal fluctuations in coastal environment. Albeit the aerial images are utilized
for the same purpose, it is an initial step to collect random GPS points of the locations where the
aerial survey is not accessible and challengeable. Therefore, this study is to create Tidal Fluctuation
Model (TFM) with the remotely-controlled UGV using customized GPS tool which was employed
along the study area. The waypoints were automatically collected while the UGV was running along
study area. Then, having extracted the elevations from the collected GPS points, contours were
created and consequently, Digital Elevation Model (DEM) was generated using Arc GIS 10.4
software. Finally, the prediction was done to show the inundation along the study area relative to
the Sea water rise in the ranges viz. 0.5m, 01m, 1.5m, and 02m. Based on the forecasting, the future
marine infrastructure developments and other human activities could be proceeded in a sustainable
manner considering the inundation and fluctuation ranges. Also, the UGV can further be switched
as Robot with the embedding system which could definitely be operated from the long distance to
collect the real-time and more accurate data in future. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Faculty of Arts and Culture, South Eastern University of Sri Lanka, University Park, Oluvil. |
en_US |
dc.subject |
TFM |
en_US |
dc.subject |
UGV |
en_US |
dc.subject |
Forecast |
en_US |
dc.subject |
Coastal environment |
en_US |
dc.subject |
RC |
en_US |
dc.subject |
GPS |
en_US |
dc.subject |
DEM |
en_US |
dc.title |
UGV application for modelling and forecasting the tidal fluctuation: with reference to coastal strip from Nintavur to Addalaichenai areas of Ampara district, Sri Lanka |
en_US |
dc.type |
Article |
en_US |